Objective:To evaluate the polio laboratory surveillance carried out from January,2019 to May,2023 by the Polio Regional Reference Laboratory,Sri Lanka.Methods:This retrospective study analyzed all stool samples receiv...Objective:To evaluate the polio laboratory surveillance carried out from January,2019 to May,2023 by the Polio Regional Reference Laboratory,Sri Lanka.Methods:This retrospective study analyzed all stool samples received under the acute flaccid paralysis(AFP)and immunodeficient vaccine-derived poliovirus(VDPV)surveillance at Polio Regional Reference Laboratory,Sri Lanka from January,2019 to May,2023.The results of the testing methodologies were extracted from the laboratory data system,i.e.,poliovirus virus isolation,intra-typic differentiation/VDPV real time reverse transcriptase polymerase chain reaction(ITD/VDPV rRTPCR)and sequencing,along with the data on timing of reporting results,stool adequacy and socio-demographics.Data was analyzed using descriptive statistics.Results:A total of 2141 stool samples from 1644 cases were received for AFP surveillance from Sri Lanka(93.61%),Maldives(1.52%),and immunodeficient VDPV(4.86%)surveillance.Both polioviruses(19/1644,1.15%)and non-polio enteroviruses(73/1644,4.44%)were isolated,while Sabin-like 3 virus was detected in majority(12/19,63.15%)among the poliovirus isolated.Wild polioviruses or circulating VDPVs were not detected among the cases.During all years of the study,the non-polio AFP detection rate was>1/100000 in children aged less than 15 years,whereas stool adequacy rate was>80%.All results were reported within 14 days of receipt,ensuring timely reporting as per global guidelines.Conclusions:The Polio Regional Reference Laboratory,Sri Lanka plays a vital role in maintaining the polio-free status in the country through its robust laboratory surveillance,while adhering to the surveillance indicators.Non-detection of wild polioviruses and circulating VDPV during the study period reinforces the polio-free status in the country.展开更多
Mpox disease is caused by a double-stranded DNA virus, genus Orthopoxvirus of the family Poxviridae. The incubation period is usually 6 to 13 days but can range from 5 to 21 days while symptoms and signs may persist f...Mpox disease is caused by a double-stranded DNA virus, genus Orthopoxvirus of the family Poxviridae. The incubation period is usually 6 to 13 days but can range from 5 to 21 days while symptoms and signs may persist for 2 to 5 weeks. Although, the clinical features are usually less severe when compared to the deadly smallpox, the disease can be fatal with case fatality rate between 1% and 10%. In Imo State, Nigeria, there has been a changing epidemiology of the disease in the last 6 years and the frequency and geographic distribution of cases have progressively increased. This study aims to conduct a review of the disease epidemiology between 2017 and 2023 and implications for surveillance in Imo State. Surveillance data from the Surveillance Outbreak Response and Management System (SORMAS) was extracted between January 2017 and December 2023 across the 27 Local Government Areas (LGAs) of Imo State. A line list of 231 suspected cases was downloaded into an excel template and analyzed using SPSS<sup>®</sup> version 20 software. Analysis was done using descriptive statistics and associations were tested using Fischer’s exact at 0.05 level of significance. Of the 231 suspected cases, 57.1% (132) were males, 42.9% (99) were females and the modal age group was between the ages of 0 - 4 (32.5%). Eight (8) LGAs (districts) accounted for 71% (n = 164) of all the suspected cases. 21.2% (49) were confirmed positive, 27 males (55.1%) and 22 females (44.9%) (p > 0.05). Modal age group was 20 - 24 (22.4%, n = 11), 18% (9) were children under 14 years, p > 0.05. Case fatality rate was 8% (n = 4). There was no significant association between mortality and age group. Five (5) LGAs accounted for about 60% (29) of all confirmed cases. These LGAs contribute only 20% to the total population in the State. Only 5.6% and 4% of suspected and confirmed cases, respectively, had knowledge of contact with an infectious source. The study described the epidemiology of Mpox outbreaks between 2017 and 2023 and the findings have significant implications on detection and outbreak response activities.展开更多
The rise of new viruses, like SARS-CoV-2 causing the COVID-19 outbreak, along with the return of antibiotic resistance in harmful bacteria, demands a swift and efficient reaction to safeguard the health and welfare of...The rise of new viruses, like SARS-CoV-2 causing the COVID-19 outbreak, along with the return of antibiotic resistance in harmful bacteria, demands a swift and efficient reaction to safeguard the health and welfare of the global population. It is crucial to have effective measures for prevention, intervention, and monitoring in place to address these evolving and recurring risks, ensuring public health and international security. In countries with limited resources, utilizing recombinant mutation plasmid technology in conjunction with PCR-HRM could help differentiate the existence of novel variants. cDNA synthesis was carried out on 8 nasopharyngeal samples following viral RNA extraction. The P1 segment of the SARS-CoV-2 Spike S protein was amplified via conventional PCR. Subsequently, PCR products were ligated with the pGEM-T Easy vector to generate eight recombinant SARS-CoV-2 plasmids. Clones containing mutations were sequenced using Sanger sequencing and analyzed through PCR-HRM. The P1 segment of the S gene from SARS-CoV-2 was successfully amplified, resulting in 8 recombinant plasmids generated from the 231 bp fragment. PCR-HRM analysis of these recombinant plasmids differentiated three variations within the SARS-CoV-2 plasmid population, each displaying distinct melting temperatures. Sanger sequencing identified mutations A112C, G113T, A114G, G214T, and G216C on the P1 segment, validating the PCR-HRM findings of the variations. These mutations led to the detection of L452R or L452M and F486V protein mutations within the protein sequence of the Omicron variant of SARS-CoV-2. In summary, PCR-HRM is a vital and affordable tool for distinguishing SARS-CoV-2 variants utilizing recombinant plasmids as controls.展开更多
Objective To analyze the epidemiological characteristics and epidemic situation of children with Kashin-Beck disease(KBD)in China,and provide the basis for formulating prevention and control measures.Methods Fixed-poi...Objective To analyze the epidemiological characteristics and epidemic situation of children with Kashin-Beck disease(KBD)in China,and provide the basis for formulating prevention and control measures.Methods Fixed-point monitoring,moving-point monitoring,and full coverage of monitoring were promoted successively from 1990 to 2023.Some children(7-12 years old)underwent clinical and right-hand X-ray examinations every year.According to the KBD diagnosis criteria,clinical and X-ray assessments were used to confirm the diagnosis.Results In 1990,the national KBD detectable rate was 21.01%.X-ray detection decreased to below 10%in 2003 and below 5%in 2007.Between 2010 and 2018,the prevalence of KBD in children was less than 0.4%,which fluctuated at a low level,and has decreased to 0%since 2019.Spatial epidemiological analysis indicated a spatial clustering of adult patients prevalence rate in the KBD areas.Conclusion The evaluation results of the elimination of KBD in China over the last 5 years showed that all villages in the monitored areas have reached the elimination standard.While the adult KBD patients still need for policy consideration and care.展开更多
Rainfall data with high spatial and temporal resolutions are essential for urban hydrological modeling.Ubiquitous surveillance cameras can continuously record rainfall events through video and audio,so they have been ...Rainfall data with high spatial and temporal resolutions are essential for urban hydrological modeling.Ubiquitous surveillance cameras can continuously record rainfall events through video and audio,so they have been recognized as potential rain gauges to supplement professional rainfall observation networks.Since video-based rainfall estimation methods can be affected by variable backgrounds and lighting conditions,audio-based approaches could be a supplement without suffering from these conditions.However,most audio-based approaches focus on rainfall-level classification rather than rainfall intensity estimation.Here,we introduce a dataset named Surveillance Audio Rainfall Intensity Dataset(SARID)and a deep learning model for estimating rainfall intensity.First,we created the dataset through audio of six real-world rainfall events.This dataset's audio recordings are segmented into 12,066 pieces and annotated with rainfall intensity and environmental information,such as underlying surfaces,temperature,humidity,and wind.Then,we developed a deep learning-based baseline using Mel-Frequency Cepstral Coefficients(MFCC)and Transformer architecture to estimate rainfall intensity from surveillance audio.Validated from ground truth data,our baseline achieves a root mean absolute error of 0.88 mm h^(-1) and a coefficient of correlation of 0.765.Our findings demonstrate the potential of surveillance audio-based models as practical and effective tools for rainfall observation systems,initiating a new chapter in rainfall intensity estimation.It offers a novel data source for high-resolution hydrological sensing and contributes to the broader landscape of urban sensing,emergency response,and resilience.展开更多
Kawasaki disease(KD)is a significant pediatric vasculitis known for its potential to cause severe coronary artery complications.Despite the effectiveness of initial treatments,such as intravenous immunoglobulin,KD pat...Kawasaki disease(KD)is a significant pediatric vasculitis known for its potential to cause severe coronary artery complications.Despite the effectiveness of initial treatments,such as intravenous immunoglobulin,KD patients can experience long-term cardiovascular issues,as evidenced by a recent case report of an adult who suffered a ST-segment elevation myocardial infarction due to previous KD in the World Journal of Clinical Cases.This editorial emphasizes the critical need for long-term management and regular surveillance to prevent such complications.By drawing on recent research and case studies,we advocate for a structured approach to follow-up care that includes routine cardiac evaluations and preventive measures.展开更多
This letter discusses the incidence of anal cancer among Crohn's disease(CD)-related malignancies.Patients with CD have been demonstrated to be at a higher risk of developing small bowel and colorectal cancers tha...This letter discusses the incidence of anal cancer among Crohn's disease(CD)-related malignancies.Patients with CD have been demonstrated to be at a higher risk of developing small bowel and colorectal cancers than healthy individuals.Although CD-associated anal cancer is relatively rare,patients with CD accom-panied by anal or perianal lesions are at increased risk of anal cancer.Addi-tionally,compared to ulcerative colitis,which is also an inflammatory disease,CD-related anal cancer is often detected at an advanced stage owing to the complexity of CD and is associated with a poor prognosis with frequent local recurrences.Therefore,the detection of early-stage cancer is crucial for improving the prognosis.However,the surveillance methods recommended for CD-related malignancies in the United States and Europe are similar to those for ulcerative colitis.They are not appropriate for detecting CD-related malignancies in the recto-anal region.Therefore,there is an urgent need for surveillance programs aimed at the early detection of malignant anorectal lesions in patients with CD.展开更多
In the United States(US),the Surveillance,Epidemiology,and End Results(SEER)program is the only comprehensive source of population-based information that includes stage of cancer at the time of diagnosis and patient s...In the United States(US),the Surveillance,Epidemiology,and End Results(SEER)program is the only comprehensive source of population-based information that includes stage of cancer at the time of diagnosis and patient survival data.This program aims to provide a database about cancer incidence and survival for studies of surveillance and the development of analytical and methodological tools in the cancer field.Currently,the SEER program covers approximately half of the total cancer patients in the US.A growing number of clinical studies have applied the SEER database in various aspects.However,the intrinsic features of the SEER database,such as the huge data volume and complexity of data types,have hindered its application.In this review,we provided a systematic overview of the commonly used methodologies and study designs for retrospective epidemiological research in order to illustrate the application of the SEER database.Therefore,the goal of this review is to assist researchers in the selection of appropriate methods and study designs for enhancing the robustness and reliability of clinical studies by mining the SEER database.展开更多
China has been continuously improving its monitoring methods and strategies to address key infectious diseases(KIDs).After the severe acute respiratory syndrome epidemic in 2003,China established a comprehensive repor...China has been continuously improving its monitoring methods and strategies to address key infectious diseases(KIDs).After the severe acute respiratory syndrome epidemic in 2003,China established a comprehensive report-ing system for infectious diseases(IDs)and public health emergencies.The relatively lagging warning thresholds,limited warning information,and outdated warning technology are insufficient to meet the needs of comprehensive monitoring for modern KIDs.Strengthening early monitoring and warning capabilities to enhance the public health system has become a top priority,with increasing demand for early warning thresholds,information,and tech-niques,thanks to constant innovation and development in molecular biology,bioinformatics,artificial intelligence,and other identification and analysis technologies.A panel of 31 experts has recommended a fourth-generation comprehensive surveillance system targeting KIDs(41 notifiable diseases and emerging IDs).The aim of this surveil-lance system is to systematically monitor the epidemiology and causal pathogens of KIDs in hosts such as humans,animals,and vectors,along with associated environmental pathogens.By integrating factors influencing epidemic spread and risk assessment,the surveillance system can serve to detect,predict,and provide early warnings for the occurrence,development,variation,and spread of known or novel KIDs.Moreover,we recommend comprehensive ID monitoring based on the fourth-generation surveillance system,along with a data-integrated monitoring and early warning platform and a consortium pathogen detection technology system.This series of considerations is based on systematic and comprehensive monitoring across multiple sectors,dimensions,factors,and pathogens that is sup-ported by data integration and connectivity.This expert consensus will provides an opportunity for collaboration in various fields and relies on interdisciplinary application to enhance comprehensive monitoring,prediction,and early warning capabilities for the next generation of ID surveillance.This expert consensus will serve as a reference for ID prevention and control as well as other related activities.展开更多
Hepatocellular carcinoma(HCC)is a disease of public health concern in Nigeria,with chronic hepatitis B and C infections contributing most to the disease burden.Despite the increasing incidence of HCC,surveillance prac...Hepatocellular carcinoma(HCC)is a disease of public health concern in Nigeria,with chronic hepatitis B and C infections contributing most to the disease burden.Despite the increasing incidence of HCC,surveillance practices for early diagnosis and possible cure are not deeply rooted in the country.This article aims to review the current status of HCC surveillance in Nigeria,stressing the encounters,breaches,and potential prospects.Several factors,such as limited tools for screening and diagnostics,insufficient infrastructure,and low cognizance among the doctors,and the general public affect the surveillance practices for HCC in Nigeria.Moreover,the lack of standardized guidelines and protocols for HCC surveillance further intensifies the suboptimal diagnosis and treatment.Nevertheless,there are opportunities for refining surveillance practices in the country.This would be achieved through boosted public health sensitization campaigns,integrating HCC screening into routine clinical services,and leveraging technological developments for early detection and monitoring.Furthermore,collaboration between government agencies,healthcare providers,and international organizations can facilitate the development of comprehensive HCC surveillance programs person-alized to the Nigerian setting.Thus,HCC surveillance practice faces substantial challenges.By addressing the drawbacks and leveraging prospects,Nigeria can improve HCC surveillance,with subsequent improved outcomes for individuals at risk of developing the disease.展开更多
Surveillance systems are vital for detecting,managing,and mitigating infectious disease outbreaks.This review highlights the importance of modern technologies like AI and big data in enhancing surveillancecapabilities...Surveillance systems are vital for detecting,managing,and mitigating infectious disease outbreaks.This review highlights the importance of modern technologies like AI and big data in enhancing surveillancecapabilities.It underscores the need for global collaboration and examines the role of surveillance in diseases likeinfluenza,Ebola,and COVID-19.Technological innovations such as geospatial mapping and wearable healthdevices are transforming disease control,though they raise ethical concerns about privacy.Continuousadvancements and ethical safeguards are crucial for effective surveillance and global health protection.展开更多
Crowd density estimation in wide areas is a challenging problem for visual surveillance. Because of the high risk of degeneration, the safety of public events involving large crowds has always been a major concern. In...Crowd density estimation in wide areas is a challenging problem for visual surveillance. Because of the high risk of degeneration, the safety of public events involving large crowds has always been a major concern. In this paper, we propose a video-based crowd density analysis and prediction system for wide-area surveillance applications. In monocular image sequences, the Accumulated Mosaic Image Difference (AMID) method is applied to extract crowd areas having irregular motion. The specific number of persons and velocity of a crowd can be adequately estimated by our system from the density of crowded areas. Using a multi-camera network, we can obtain predictions of a crowd's density several minutes in advance. The system has been used in real applications, and numerous experiments conducted in real scenes (station, park, plaza) demonstrate the effectiveness and robustness of the proposed method.展开更多
Different follow-up strategies are available for patients with rectal cancer following curative treatment.A combination of biochemical testing and imaging investigation,associated with physical examination are commonl...Different follow-up strategies are available for patients with rectal cancer following curative treatment.A combination of biochemical testing and imaging investigation,associated with physical examination are commonly used.However,there is currently no consensus about the types of tests to perform,the timing of the testing,and even the need for follow-up at all has been questioned.The aim of this study was to review the evidence of the impact of different followup tests and programs in patients with non-metastatic disease after definitive treatment of the primary.A literature review was performed of studies published on MEDLINE,EMBASE,the Cochrane Library and Web of Science up to November 2022.Current published guidelines from the most authoritative specialty societies were also reviewed.According to the follow-up strategies available,the office visit is not efficient but represents the only way to maintain direct contact with the patient and is recommended by all authoritative specialty societies.In colorectal cancer surveillance,carcinoembryonic antigen represents the only established tumor marker.Abdominal and chest computed tomography scan is recommended considering that the liver and lungs are the most common sites of recurrence.Since local relapse in rectal cancer is higher than in colon cancer,endoscopic surveillance is mandatory.Different follow-up regimens have been published but randomized comparisons and meta-analyses do not allow to determine whether intensive or less intensive follow-up had any significant influence on survival and recurrence detection rate.The available data do not allow the drawing of final conclusions on the ideal surveillance methods and the frequency with which they should be applied.It is very useful and urgent for clinicians to identify a cost-effective strategy that allows early identification of recurrence with a special focus for highrisk patients and patients undergoing a“watch and wait”approach.展开更多
BACKGROUND Schizophrenia is a psychiatric disorder characterized by chronic or recurrent symptoms.Lurasidone was licensed in China in 2019 for the treatment of adult schizophrenia in adults with a maximum dose of 80 m...BACKGROUND Schizophrenia is a psychiatric disorder characterized by chronic or recurrent symptoms.Lurasidone was licensed in China in 2019 for the treatment of adult schizophrenia in adults with a maximum dose of 80 mg/d.However,post-market surveillance(PMS)with an adequate sample size is required for further validation of the drug’s safety profile and effectiveness.AIM To conduct PMS in real-world clinical settings and evaluate the safety and effectiveness of lurasidone in the Chinese population.METHODS A prospective,multicenter,open-label,12-wk surveillance was conducted in China's Mainland.All patients with schizophrenia from 10 sites who had begun medication with lurasidone between September 2019 and August 2022 were eligible for enrollment.Safety assessments included adverse events(AEs),adverse drug reactions(ADRs),extrapyramidal symptoms(EPS),akathisia,use of EPS drugs,weight gain,and laboratory values as metabolic parameters and the QTc interval.The effectiveness was assessed using the brief psychiatric rating scale(BPRS)from baseline to the end of treatment.RESULTS A total of 965 patients were enrolled in the full analysis set and 894 in the safety set in this interim analysis.The average daily dose was 61.7±19.08 mg(mean±SD)during the treatment.AEs and ADRs were experienced by 101 patients(11.3%)and 78 patients(8.7%),respectively,which were mostly mild.EPS occurred in 25 individuals with a 2.8%incidence,including akathisia in 20 individuals(2.2%).Moreover,59 patients received drugs for treating EPS during the treatment,with an incidence of 6.6%which dropped to 5.4%at the end of the treatment.The average weight change was 0.20±2.36 kg(P=0.01687)with 0.8%of patients showing a weight gain of≥7%at week 12 compared with that at the baseline.The mean values of metabolic parameters and the QTc interval at baseline and week 12 were within normal ranges.The mean changes in total BPRS scores were-8.9±9.76(n=959),-13.5±12.29(n=959),and-16.8±13.97(n=959)after 2/4,6/8,and 12 wk,respectively(P<0.001 for each visit compared with the baseline)using the last-observation-carried-forward method.CONCLUSION The interim analysis of the PMS of adult patients with schizophrenia demonstrate the safety and effectiveness of lurasidone in the Chinese population.No new safety or efficacy concerns were identified.展开更多
Non-muscle invasive bladder cancer(NMIBC)is a major type of bladder cancer with a high incidence worldwide,resulting in a great disease burden.Treatment and surveillance are the most important part of NIMBC management...Non-muscle invasive bladder cancer(NMIBC)is a major type of bladder cancer with a high incidence worldwide,resulting in a great disease burden.Treatment and surveillance are the most important part of NIMBC management.In 2018,we issued“Treatment and surveillance for non-muscle-invasive bladder cancer in China:an evidencebased clinical practice guideline”.Since then,various studies on the treatment and surveillance of NMIBC have been published.There is a need to incorporate these materials and also to take into account the relatively limited medical resources in primary medical institutions in China.Developing a version of guideline which takes these two issues into account to promote the management of NMIBC is therefore indicated.We formed a working group of clinical experts and methodologists.Through questionnaire investigation of clinicians including primary medical institutions,24 clinically concerned issues,involving transurethral resection of bladder tumor(TURBT),intravesical chemotherapy and intravesical immunotherapy of NMIBC,and follow-up and surveillance of the NMIBC patients,were determined for this guideline.Researches and recommendations on the management of NMIBC in databases,guideline development professional societies and monographs were referred to,and the European Association of Urology was used to assess the certainty of generated recommendations.Finally,we issued 29 statements,among which 22 were strong recommendations,and 7 were weak recommendations.These recommendations cover the topics of TURBT,postoperative chemotherapy after TURBT,Bacillus Calmette–Guérin(BCG)immunotherapy after TURBT,combination treatment of BCG and chemotherapy after TURBT,treatment of carcinoma in situ,radical cystectomy,treatment of NMIBC recurrence,and follow-up and surveillance.We hope these recommendations can help promote the treatment and surveillance of NMIBC in China,especially for the primary medical institutions.展开更多
Road congestion,air pollution,and accident rates have all increased as a result of rising traffic density andworldwide population growth.Over the past ten years,the total number of automobiles has increased significan...Road congestion,air pollution,and accident rates have all increased as a result of rising traffic density andworldwide population growth.Over the past ten years,the total number of automobiles has increased significantly over the world.In this paper,a novel method for intelligent traffic surveillance is presented.The proposed model is based on multilabel semantic segmentation using a random forest classifier which classifies the images into five classes.To improve the results,mean-shift clustering was applied to the segmented images.Afterward,the pixels given the label for the vehicle were extracted and blob detection was applied to mark each vehicle.For the validation of each detection,a vehicle verification method based on the structural similarity index is proposed.The tracking of vehicles across the image frames is done using the Identifier(ID)assignment technique and particle filter.Also,vehicle counting in each frame along with trajectory estimation was done for each object.Our proposed system demonstrated a remarkable vehicle detection rate of 0.83 over Vehicle Aerial Imaging from Drone(VAID),0.86 over AU-AIR,and 0.75 over the Unmanned Aerial Vehicle Benchmark Object Detection and Tracking(UAVDT)dataset during the experimental evaluation.The proposed system can be used for several purposes,such as vehicle identification in traffic,traffic density estimation at intersections,and traffic congestion sensing on a road.展开更多
In the environment of smart examination rooms, it is important to quickly and accurately detect abnormal behavior(human standing) for the construction of a smart campus. Based on deep learning, we propose an intellige...In the environment of smart examination rooms, it is important to quickly and accurately detect abnormal behavior(human standing) for the construction of a smart campus. Based on deep learning, we propose an intelligentstanding human detection (ISHD) method based on an improved single shot multibox detector to detect thetarget of standing human posture in the scene frame of exam room video surveillance at a specific examinationstage. ISHD combines the MobileNet network in a single shot multibox detector network, improves the posturefeature extractor of a standing person, merges prior knowledge, and introduces transfer learning in the trainingstrategy, which greatly reduces the computation amount, improves the detection accuracy, and reduces the trainingdifficulty. The experiment proves that the model proposed in this paper has a better detection ability for the smalland medium-sized standing human body posture in video test scenes on the EMV-2 dataset.展开更多
Face recognition technology automatically identifies an individual from image or video sources.The detection process can be done by attaining facial characteristics from the image of a subject face.Recent developments...Face recognition technology automatically identifies an individual from image or video sources.The detection process can be done by attaining facial characteristics from the image of a subject face.Recent developments in deep learning(DL)and computer vision(CV)techniques enable the design of automated face recognition and tracking methods.This study presents a novel Harris Hawks Optimization with deep learning-empowered automated face detection and tracking(HHODL-AFDT)method.The proposed HHODL-AFDT model involves a Faster region based convolution neural network(RCNN)-based face detection model and HHO-based hyperparameter opti-mization process.The presented optimal Faster RCNN model precisely rec-ognizes the face and is passed into the face-tracking model using a regression network(REGN).The face tracking using the REGN model uses the fea-tures from neighboring frames and foresees the location of the target face in succeeding frames.The application of the HHO algorithm for optimal hyperparameter selection shows the novelty of the work.The experimental validation of the presented HHODL-AFDT algorithm is conducted using two datasets and the experiment outcomes highlighted the superior performance of the HHODL-AFDT model over current methodologies with maximum accuracy of 90.60%and 88.08%under PICS and VTB datasets,respectively.展开更多
Objective:Guidelines for muscle-invasive bladder cancer(MIBC)recommend that patients receive neoadjuvant chemotherapy with radical cystectomy as treatment over radical cystectomy alone.Though trends and practice patte...Objective:Guidelines for muscle-invasive bladder cancer(MIBC)recommend that patients receive neoadjuvant chemotherapy with radical cystectomy as treatment over radical cystectomy alone.Though trends and practice patterns of MIBC have been defined using the National Cancer Database,data using the Surveillance,Epidemiology,and End Results(SEER)program have been poorly described.Methods:Using the SEER database,we collected data of MIBC according to the American Joint Commission on Cancer.We considered differences in patient demographics and tumor charac-teristics based on three treatment groups:chemotherapy(both adjuvant and neoadjuvant)with radical cystectomy,radical cystectomy,and chemoradiotherapy.Multinomial logistic regression was performed to compare likelihood ratios.Temporal trends were included for each treatment group.Kaplan-Meier curves were performed to compare cause-specific sur-vival.A Cox proportional-hazards model was utilized to describe predictors of survival.Results:Of 16728 patients,10468 patients received radical cystectomy alone,3236 received chemotherapy with radical cystectomy,and 3024 received chemoradiotherapy.Patients who received chemoradiotherapy over radical cystectomy were older and more likely to be African American;stage III patients tended to be divorced.Patients who received chemotherapy with radical cystectomy tended to be males;stage II patients were less likely to be Asian than Caucasian.Stage III patients were less likely to receive chemoradiotherapy as a treatment op-tion than stage II.Chemotherapy with radical cystectomy and chemoradiotherapy are both un-derutilized treatment options,though increasingly utilized.Kaplan-Meier survival curves showed significant differences between stage II and III tumors at each interval.A Cox proportional-hazards model showed differences in gender,tumor stage,treatment modality,age,andmarital status.Conclusion:Radical cystectomy alone is still the most commonly used treatment for muscle-invasive bladder cancer based on temporal trends.Significant disparities exist in those who receive radical cystectomy over chemoradiotherapy for treatment.展开更多
Objective:To surveill emerging variants by nanopore technology-based genome sequencing in different COVID-19 waves in Sri Lanka and to examine the association with the sample characteristics,and vaccination status.Met...Objective:To surveill emerging variants by nanopore technology-based genome sequencing in different COVID-19 waves in Sri Lanka and to examine the association with the sample characteristics,and vaccination status.Methods:The study analyzed 207 RNA positive swab samples received to sequence laboratory during different waves.The N gene cut-off threshold of less than 30 was considered as the major inclusion criteria.Viral RNA was extracted,and elutes were subjected to nanopore sequencing.All the sequencing data were uploaded in the publicly accessible database,GISAID.Results:The Omicron,Delta and Alpha variants accounted for 58%,22%and 4%of the variants throughout the period.Less than 1%were Kappa variant and 16%of the study samples remained unassigned.Omicron variant was circulated among all age groups and in all the provinces.Ct value and variants assigned percentage was 100%in Ct values of 10-15 while only 45%assigned Ct value over 25.Conclusions:The present study examined the emergence,prevalence,and distribution of SARS-CoV-2 variants locally and has shown that nanopore technology-based genome sequencing enables whole genome sequencing in a low resource setting country.展开更多
文摘Objective:To evaluate the polio laboratory surveillance carried out from January,2019 to May,2023 by the Polio Regional Reference Laboratory,Sri Lanka.Methods:This retrospective study analyzed all stool samples received under the acute flaccid paralysis(AFP)and immunodeficient vaccine-derived poliovirus(VDPV)surveillance at Polio Regional Reference Laboratory,Sri Lanka from January,2019 to May,2023.The results of the testing methodologies were extracted from the laboratory data system,i.e.,poliovirus virus isolation,intra-typic differentiation/VDPV real time reverse transcriptase polymerase chain reaction(ITD/VDPV rRTPCR)and sequencing,along with the data on timing of reporting results,stool adequacy and socio-demographics.Data was analyzed using descriptive statistics.Results:A total of 2141 stool samples from 1644 cases were received for AFP surveillance from Sri Lanka(93.61%),Maldives(1.52%),and immunodeficient VDPV(4.86%)surveillance.Both polioviruses(19/1644,1.15%)and non-polio enteroviruses(73/1644,4.44%)were isolated,while Sabin-like 3 virus was detected in majority(12/19,63.15%)among the poliovirus isolated.Wild polioviruses or circulating VDPVs were not detected among the cases.During all years of the study,the non-polio AFP detection rate was>1/100000 in children aged less than 15 years,whereas stool adequacy rate was>80%.All results were reported within 14 days of receipt,ensuring timely reporting as per global guidelines.Conclusions:The Polio Regional Reference Laboratory,Sri Lanka plays a vital role in maintaining the polio-free status in the country through its robust laboratory surveillance,while adhering to the surveillance indicators.Non-detection of wild polioviruses and circulating VDPV during the study period reinforces the polio-free status in the country.
文摘Mpox disease is caused by a double-stranded DNA virus, genus Orthopoxvirus of the family Poxviridae. The incubation period is usually 6 to 13 days but can range from 5 to 21 days while symptoms and signs may persist for 2 to 5 weeks. Although, the clinical features are usually less severe when compared to the deadly smallpox, the disease can be fatal with case fatality rate between 1% and 10%. In Imo State, Nigeria, there has been a changing epidemiology of the disease in the last 6 years and the frequency and geographic distribution of cases have progressively increased. This study aims to conduct a review of the disease epidemiology between 2017 and 2023 and implications for surveillance in Imo State. Surveillance data from the Surveillance Outbreak Response and Management System (SORMAS) was extracted between January 2017 and December 2023 across the 27 Local Government Areas (LGAs) of Imo State. A line list of 231 suspected cases was downloaded into an excel template and analyzed using SPSS<sup>®</sup> version 20 software. Analysis was done using descriptive statistics and associations were tested using Fischer’s exact at 0.05 level of significance. Of the 231 suspected cases, 57.1% (132) were males, 42.9% (99) were females and the modal age group was between the ages of 0 - 4 (32.5%). Eight (8) LGAs (districts) accounted for 71% (n = 164) of all the suspected cases. 21.2% (49) were confirmed positive, 27 males (55.1%) and 22 females (44.9%) (p > 0.05). Modal age group was 20 - 24 (22.4%, n = 11), 18% (9) were children under 14 years, p > 0.05. Case fatality rate was 8% (n = 4). There was no significant association between mortality and age group. Five (5) LGAs accounted for about 60% (29) of all confirmed cases. These LGAs contribute only 20% to the total population in the State. Only 5.6% and 4% of suspected and confirmed cases, respectively, had knowledge of contact with an infectious source. The study described the epidemiology of Mpox outbreaks between 2017 and 2023 and the findings have significant implications on detection and outbreak response activities.
文摘The rise of new viruses, like SARS-CoV-2 causing the COVID-19 outbreak, along with the return of antibiotic resistance in harmful bacteria, demands a swift and efficient reaction to safeguard the health and welfare of the global population. It is crucial to have effective measures for prevention, intervention, and monitoring in place to address these evolving and recurring risks, ensuring public health and international security. In countries with limited resources, utilizing recombinant mutation plasmid technology in conjunction with PCR-HRM could help differentiate the existence of novel variants. cDNA synthesis was carried out on 8 nasopharyngeal samples following viral RNA extraction. The P1 segment of the SARS-CoV-2 Spike S protein was amplified via conventional PCR. Subsequently, PCR products were ligated with the pGEM-T Easy vector to generate eight recombinant SARS-CoV-2 plasmids. Clones containing mutations were sequenced using Sanger sequencing and analyzed through PCR-HRM. The P1 segment of the S gene from SARS-CoV-2 was successfully amplified, resulting in 8 recombinant plasmids generated from the 231 bp fragment. PCR-HRM analysis of these recombinant plasmids differentiated three variations within the SARS-CoV-2 plasmid population, each displaying distinct melting temperatures. Sanger sequencing identified mutations A112C, G113T, A114G, G214T, and G216C on the P1 segment, validating the PCR-HRM findings of the variations. These mutations led to the detection of L452R or L452M and F486V protein mutations within the protein sequence of the Omicron variant of SARS-CoV-2. In summary, PCR-HRM is a vital and affordable tool for distinguishing SARS-CoV-2 variants utilizing recombinant plasmids as controls.
基金supported by the Central government subsidies to local public health special funds,National Key Research and Development Program of China[2022YFC2503101]Basic Research and Development Funds for Heilongjiang Province-affiliated Universities[2023-KYYWF-0272].
文摘Objective To analyze the epidemiological characteristics and epidemic situation of children with Kashin-Beck disease(KBD)in China,and provide the basis for formulating prevention and control measures.Methods Fixed-point monitoring,moving-point monitoring,and full coverage of monitoring were promoted successively from 1990 to 2023.Some children(7-12 years old)underwent clinical and right-hand X-ray examinations every year.According to the KBD diagnosis criteria,clinical and X-ray assessments were used to confirm the diagnosis.Results In 1990,the national KBD detectable rate was 21.01%.X-ray detection decreased to below 10%in 2003 and below 5%in 2007.Between 2010 and 2018,the prevalence of KBD in children was less than 0.4%,which fluctuated at a low level,and has decreased to 0%since 2019.Spatial epidemiological analysis indicated a spatial clustering of adult patients prevalence rate in the KBD areas.Conclusion The evaluation results of the elimination of KBD in China over the last 5 years showed that all villages in the monitored areas have reached the elimination standard.While the adult KBD patients still need for policy consideration and care.
基金National Key R&D Program of China(2021YFE0112300)State Scholarship Fund from the China Scholarship Council(CSC)(No.201906865016)Special Fund for Public Welfare Scientific Institutions of Fujian Province(No.2020R1002002).
文摘Rainfall data with high spatial and temporal resolutions are essential for urban hydrological modeling.Ubiquitous surveillance cameras can continuously record rainfall events through video and audio,so they have been recognized as potential rain gauges to supplement professional rainfall observation networks.Since video-based rainfall estimation methods can be affected by variable backgrounds and lighting conditions,audio-based approaches could be a supplement without suffering from these conditions.However,most audio-based approaches focus on rainfall-level classification rather than rainfall intensity estimation.Here,we introduce a dataset named Surveillance Audio Rainfall Intensity Dataset(SARID)and a deep learning model for estimating rainfall intensity.First,we created the dataset through audio of six real-world rainfall events.This dataset's audio recordings are segmented into 12,066 pieces and annotated with rainfall intensity and environmental information,such as underlying surfaces,temperature,humidity,and wind.Then,we developed a deep learning-based baseline using Mel-Frequency Cepstral Coefficients(MFCC)and Transformer architecture to estimate rainfall intensity from surveillance audio.Validated from ground truth data,our baseline achieves a root mean absolute error of 0.88 mm h^(-1) and a coefficient of correlation of 0.765.Our findings demonstrate the potential of surveillance audio-based models as practical and effective tools for rainfall observation systems,initiating a new chapter in rainfall intensity estimation.It offers a novel data source for high-resolution hydrological sensing and contributes to the broader landscape of urban sensing,emergency response,and resilience.
文摘Kawasaki disease(KD)is a significant pediatric vasculitis known for its potential to cause severe coronary artery complications.Despite the effectiveness of initial treatments,such as intravenous immunoglobulin,KD patients can experience long-term cardiovascular issues,as evidenced by a recent case report of an adult who suffered a ST-segment elevation myocardial infarction due to previous KD in the World Journal of Clinical Cases.This editorial emphasizes the critical need for long-term management and regular surveillance to prevent such complications.By drawing on recent research and case studies,we advocate for a structured approach to follow-up care that includes routine cardiac evaluations and preventive measures.
文摘This letter discusses the incidence of anal cancer among Crohn's disease(CD)-related malignancies.Patients with CD have been demonstrated to be at a higher risk of developing small bowel and colorectal cancers than healthy individuals.Although CD-associated anal cancer is relatively rare,patients with CD accom-panied by anal or perianal lesions are at increased risk of anal cancer.Addi-tionally,compared to ulcerative colitis,which is also an inflammatory disease,CD-related anal cancer is often detected at an advanced stage owing to the complexity of CD and is associated with a poor prognosis with frequent local recurrences.Therefore,the detection of early-stage cancer is crucial for improving the prognosis.However,the surveillance methods recommended for CD-related malignancies in the United States and Europe are similar to those for ulcerative colitis.They are not appropriate for detecting CD-related malignancies in the recto-anal region.Therefore,there is an urgent need for surveillance programs aimed at the early detection of malignant anorectal lesions in patients with CD.
基金Guangdong Provincial Key Laboratory of Traditional Chinese Medicine Informatization(2021B1212040007)Clinical Frontier Technology Program of the First Affiliated Hospital of Jinan University,China(JNU1AF-CFTP-2022-a01235)Science and Technology Projects in Guangzhou,China(202201020054,2023A03J1032).
文摘In the United States(US),the Surveillance,Epidemiology,and End Results(SEER)program is the only comprehensive source of population-based information that includes stage of cancer at the time of diagnosis and patient survival data.This program aims to provide a database about cancer incidence and survival for studies of surveillance and the development of analytical and methodological tools in the cancer field.Currently,the SEER program covers approximately half of the total cancer patients in the US.A growing number of clinical studies have applied the SEER database in various aspects.However,the intrinsic features of the SEER database,such as the huge data volume and complexity of data types,have hindered its application.In this review,we provided a systematic overview of the commonly used methodologies and study designs for retrospective epidemiological research in order to illustrate the application of the SEER database.Therefore,the goal of this review is to assist researchers in the selection of appropriate methods and study designs for enhancing the robustness and reliability of clinical studies by mining the SEER database.
基金supported by the Shenzhen Key Discipline of Medicine,the Key Specialty of Public Health(SZXK064)the research on intelligent prediction,early warning,prevention,and control decision support system of Infectious diseases based on multi-source big data(Key Project of Basic Research of Shenzhen Science and Technology Plan,JCYJ20200109150715644)+3 种基金the research on comprehensive monitoring system for emerging infectious diseases and key insect-borne pathogens(supported by the Basic Research Funds of Central Public Welfare Research Institutes,Chinese Academy of Medical Sciences,2020-PT330-006)the research on new precision diagnosis technology for emerging infectious diseases and public emergency prevention and control system(Shenzhen Sustainable Development Science and Technology Project,KCXFZ202002011006190)the Sanming Project of Medicine in Shenzhen(Shenzhen Science and Technology Innovation Committee,SZSM202011008)the research and development of key technologies for rapid detection kit of novel coronavirus variant(Key Project of Shenzhen Innovation and Entrepreneurship Plan,JSGG20210901145004012).
文摘China has been continuously improving its monitoring methods and strategies to address key infectious diseases(KIDs).After the severe acute respiratory syndrome epidemic in 2003,China established a comprehensive report-ing system for infectious diseases(IDs)and public health emergencies.The relatively lagging warning thresholds,limited warning information,and outdated warning technology are insufficient to meet the needs of comprehensive monitoring for modern KIDs.Strengthening early monitoring and warning capabilities to enhance the public health system has become a top priority,with increasing demand for early warning thresholds,information,and tech-niques,thanks to constant innovation and development in molecular biology,bioinformatics,artificial intelligence,and other identification and analysis technologies.A panel of 31 experts has recommended a fourth-generation comprehensive surveillance system targeting KIDs(41 notifiable diseases and emerging IDs).The aim of this surveil-lance system is to systematically monitor the epidemiology and causal pathogens of KIDs in hosts such as humans,animals,and vectors,along with associated environmental pathogens.By integrating factors influencing epidemic spread and risk assessment,the surveillance system can serve to detect,predict,and provide early warnings for the occurrence,development,variation,and spread of known or novel KIDs.Moreover,we recommend comprehensive ID monitoring based on the fourth-generation surveillance system,along with a data-integrated monitoring and early warning platform and a consortium pathogen detection technology system.This series of considerations is based on systematic and comprehensive monitoring across multiple sectors,dimensions,factors,and pathogens that is sup-ported by data integration and connectivity.This expert consensus will provides an opportunity for collaboration in various fields and relies on interdisciplinary application to enhance comprehensive monitoring,prediction,and early warning capabilities for the next generation of ID surveillance.This expert consensus will serve as a reference for ID prevention and control as well as other related activities.
文摘Hepatocellular carcinoma(HCC)is a disease of public health concern in Nigeria,with chronic hepatitis B and C infections contributing most to the disease burden.Despite the increasing incidence of HCC,surveillance practices for early diagnosis and possible cure are not deeply rooted in the country.This article aims to review the current status of HCC surveillance in Nigeria,stressing the encounters,breaches,and potential prospects.Several factors,such as limited tools for screening and diagnostics,insufficient infrastructure,and low cognizance among the doctors,and the general public affect the surveillance practices for HCC in Nigeria.Moreover,the lack of standardized guidelines and protocols for HCC surveillance further intensifies the suboptimal diagnosis and treatment.Nevertheless,there are opportunities for refining surveillance practices in the country.This would be achieved through boosted public health sensitization campaigns,integrating HCC screening into routine clinical services,and leveraging technological developments for early detection and monitoring.Furthermore,collaboration between government agencies,healthcare providers,and international organizations can facilitate the development of comprehensive HCC surveillance programs person-alized to the Nigerian setting.Thus,HCC surveillance practice faces substantial challenges.By addressing the drawbacks and leveraging prospects,Nigeria can improve HCC surveillance,with subsequent improved outcomes for individuals at risk of developing the disease.
文摘Surveillance systems are vital for detecting,managing,and mitigating infectious disease outbreaks.This review highlights the importance of modern technologies like AI and big data in enhancing surveillancecapabilities.It underscores the need for global collaboration and examines the role of surveillance in diseases likeinfluenza,Ebola,and COVID-19.Technological innovations such as geospatial mapping and wearable healthdevices are transforming disease control,though they raise ethical concerns about privacy.Continuousadvancements and ethical safeguards are crucial for effective surveillance and global health protection.
基金supported by the National Natural Science Foundation of China under Grant No. 61175007the National Key Technologies R&D Program under Grant No. 2012BAH07B01the National Key Basic Research Program of China (973 Program) under Grant No. 2012CB316302
文摘Crowd density estimation in wide areas is a challenging problem for visual surveillance. Because of the high risk of degeneration, the safety of public events involving large crowds has always been a major concern. In this paper, we propose a video-based crowd density analysis and prediction system for wide-area surveillance applications. In monocular image sequences, the Accumulated Mosaic Image Difference (AMID) method is applied to extract crowd areas having irregular motion. The specific number of persons and velocity of a crowd can be adequately estimated by our system from the density of crowded areas. Using a multi-camera network, we can obtain predictions of a crowd's density several minutes in advance. The system has been used in real applications, and numerous experiments conducted in real scenes (station, park, plaza) demonstrate the effectiveness and robustness of the proposed method.
文摘Different follow-up strategies are available for patients with rectal cancer following curative treatment.A combination of biochemical testing and imaging investigation,associated with physical examination are commonly used.However,there is currently no consensus about the types of tests to perform,the timing of the testing,and even the need for follow-up at all has been questioned.The aim of this study was to review the evidence of the impact of different followup tests and programs in patients with non-metastatic disease after definitive treatment of the primary.A literature review was performed of studies published on MEDLINE,EMBASE,the Cochrane Library and Web of Science up to November 2022.Current published guidelines from the most authoritative specialty societies were also reviewed.According to the follow-up strategies available,the office visit is not efficient but represents the only way to maintain direct contact with the patient and is recommended by all authoritative specialty societies.In colorectal cancer surveillance,carcinoembryonic antigen represents the only established tumor marker.Abdominal and chest computed tomography scan is recommended considering that the liver and lungs are the most common sites of recurrence.Since local relapse in rectal cancer is higher than in colon cancer,endoscopic surveillance is mandatory.Different follow-up regimens have been published but randomized comparisons and meta-analyses do not allow to determine whether intensive or less intensive follow-up had any significant influence on survival and recurrence detection rate.The available data do not allow the drawing of final conclusions on the ideal surveillance methods and the frequency with which they should be applied.It is very useful and urgent for clinicians to identify a cost-effective strategy that allows early identification of recurrence with a special focus for highrisk patients and patients undergoing a“watch and wait”approach.
基金Collaborative Innovation Center Project of Translational Medicine,Shanghai Jiaotong University School of Medicine,No.TM202116PT(2021-2023)Clinical Research Plan of SHDC,No.SHDC2022CRS032and the Sumitomo Pharmaceuticals(Suzhou)Co.,Ltd.
文摘BACKGROUND Schizophrenia is a psychiatric disorder characterized by chronic or recurrent symptoms.Lurasidone was licensed in China in 2019 for the treatment of adult schizophrenia in adults with a maximum dose of 80 mg/d.However,post-market surveillance(PMS)with an adequate sample size is required for further validation of the drug’s safety profile and effectiveness.AIM To conduct PMS in real-world clinical settings and evaluate the safety and effectiveness of lurasidone in the Chinese population.METHODS A prospective,multicenter,open-label,12-wk surveillance was conducted in China's Mainland.All patients with schizophrenia from 10 sites who had begun medication with lurasidone between September 2019 and August 2022 were eligible for enrollment.Safety assessments included adverse events(AEs),adverse drug reactions(ADRs),extrapyramidal symptoms(EPS),akathisia,use of EPS drugs,weight gain,and laboratory values as metabolic parameters and the QTc interval.The effectiveness was assessed using the brief psychiatric rating scale(BPRS)from baseline to the end of treatment.RESULTS A total of 965 patients were enrolled in the full analysis set and 894 in the safety set in this interim analysis.The average daily dose was 61.7±19.08 mg(mean±SD)during the treatment.AEs and ADRs were experienced by 101 patients(11.3%)and 78 patients(8.7%),respectively,which were mostly mild.EPS occurred in 25 individuals with a 2.8%incidence,including akathisia in 20 individuals(2.2%).Moreover,59 patients received drugs for treating EPS during the treatment,with an incidence of 6.6%which dropped to 5.4%at the end of the treatment.The average weight change was 0.20±2.36 kg(P=0.01687)with 0.8%of patients showing a weight gain of≥7%at week 12 compared with that at the baseline.The mean values of metabolic parameters and the QTc interval at baseline and week 12 were within normal ranges.The mean changes in total BPRS scores were-8.9±9.76(n=959),-13.5±12.29(n=959),and-16.8±13.97(n=959)after 2/4,6/8,and 12 wk,respectively(P<0.001 for each visit compared with the baseline)using the last-observation-carried-forward method.CONCLUSION The interim analysis of the PMS of adult patients with schizophrenia demonstrate the safety and effectiveness of lurasidone in the Chinese population.No new safety or efficacy concerns were identified.
基金suppor ted by the National Key Research and Development Plan of China(Technology helps Economy 2020,2016YFC0106300)the National Natural Science Foundation of China(82174230)the Major Program Fund of Technical Innovation Project of Department of Science and Technology of Hubei Province(2016ACAl52)。
文摘Non-muscle invasive bladder cancer(NMIBC)is a major type of bladder cancer with a high incidence worldwide,resulting in a great disease burden.Treatment and surveillance are the most important part of NIMBC management.In 2018,we issued“Treatment and surveillance for non-muscle-invasive bladder cancer in China:an evidencebased clinical practice guideline”.Since then,various studies on the treatment and surveillance of NMIBC have been published.There is a need to incorporate these materials and also to take into account the relatively limited medical resources in primary medical institutions in China.Developing a version of guideline which takes these two issues into account to promote the management of NMIBC is therefore indicated.We formed a working group of clinical experts and methodologists.Through questionnaire investigation of clinicians including primary medical institutions,24 clinically concerned issues,involving transurethral resection of bladder tumor(TURBT),intravesical chemotherapy and intravesical immunotherapy of NMIBC,and follow-up and surveillance of the NMIBC patients,were determined for this guideline.Researches and recommendations on the management of NMIBC in databases,guideline development professional societies and monographs were referred to,and the European Association of Urology was used to assess the certainty of generated recommendations.Finally,we issued 29 statements,among which 22 were strong recommendations,and 7 were weak recommendations.These recommendations cover the topics of TURBT,postoperative chemotherapy after TURBT,Bacillus Calmette–Guérin(BCG)immunotherapy after TURBT,combination treatment of BCG and chemotherapy after TURBT,treatment of carcinoma in situ,radical cystectomy,treatment of NMIBC recurrence,and follow-up and surveillance.We hope these recommendations can help promote the treatment and surveillance of NMIBC in China,especially for the primary medical institutions.
基金supported by the MSIT(Ministry of Science and ICT),Korea,under the ITRC(Information Technology Research Center)Support Program(IITP-2023-2018-0-01426)supervised by the IITP(Institute for Information&Communications Technology Planning&Evaluation).The funding of this work was provided by Princess Nourah bint Abdulrahman University Researchers Supporting Project Number(PNURSP2023R410),Princess Nourah bint Abdulrahman University,Riyadh,Saudi Arabia.
文摘Road congestion,air pollution,and accident rates have all increased as a result of rising traffic density andworldwide population growth.Over the past ten years,the total number of automobiles has increased significantly over the world.In this paper,a novel method for intelligent traffic surveillance is presented.The proposed model is based on multilabel semantic segmentation using a random forest classifier which classifies the images into five classes.To improve the results,mean-shift clustering was applied to the segmented images.Afterward,the pixels given the label for the vehicle were extracted and blob detection was applied to mark each vehicle.For the validation of each detection,a vehicle verification method based on the structural similarity index is proposed.The tracking of vehicles across the image frames is done using the Identifier(ID)assignment technique and particle filter.Also,vehicle counting in each frame along with trajectory estimation was done for each object.Our proposed system demonstrated a remarkable vehicle detection rate of 0.83 over Vehicle Aerial Imaging from Drone(VAID),0.86 over AU-AIR,and 0.75 over the Unmanned Aerial Vehicle Benchmark Object Detection and Tracking(UAVDT)dataset during the experimental evaluation.The proposed system can be used for several purposes,such as vehicle identification in traffic,traffic density estimation at intersections,and traffic congestion sensing on a road.
基金supported by the Natural Science Foundation of China 62102147National Science Foundation of Hunan Province 2022JJ30424,2022JJ50253,and 2022JJ30275+2 种基金Scientific Research Project of Hunan Provincial Department of Education 21B0616 and 21B0738Hunan University of Arts and Sciences Ph.D.Start-Up Project BSQD02,20BSQD13the Construct Program of Applied Characteristic Discipline in Hunan University of Science and Engineering.
文摘In the environment of smart examination rooms, it is important to quickly and accurately detect abnormal behavior(human standing) for the construction of a smart campus. Based on deep learning, we propose an intelligentstanding human detection (ISHD) method based on an improved single shot multibox detector to detect thetarget of standing human posture in the scene frame of exam room video surveillance at a specific examinationstage. ISHD combines the MobileNet network in a single shot multibox detector network, improves the posturefeature extractor of a standing person, merges prior knowledge, and introduces transfer learning in the trainingstrategy, which greatly reduces the computation amount, improves the detection accuracy, and reduces the trainingdifficulty. The experiment proves that the model proposed in this paper has a better detection ability for the smalland medium-sized standing human body posture in video test scenes on the EMV-2 dataset.
基金Princess Nourah bint Abdulrahman University Researchers Supporting Project Number(PNURSP2023R349)Princess Nourah bint Abdulrahman University,Riyadh,Saudi Arabia.This study is supported via funding from Prince Sattam bin Abdulaziz University Project Number(PSAU/2023/R/1444).
文摘Face recognition technology automatically identifies an individual from image or video sources.The detection process can be done by attaining facial characteristics from the image of a subject face.Recent developments in deep learning(DL)and computer vision(CV)techniques enable the design of automated face recognition and tracking methods.This study presents a novel Harris Hawks Optimization with deep learning-empowered automated face detection and tracking(HHODL-AFDT)method.The proposed HHODL-AFDT model involves a Faster region based convolution neural network(RCNN)-based face detection model and HHO-based hyperparameter opti-mization process.The presented optimal Faster RCNN model precisely rec-ognizes the face and is passed into the face-tracking model using a regression network(REGN).The face tracking using the REGN model uses the fea-tures from neighboring frames and foresees the location of the target face in succeeding frames.The application of the HHO algorithm for optimal hyperparameter selection shows the novelty of the work.The experimental validation of the presented HHODL-AFDT algorithm is conducted using two datasets and the experiment outcomes highlighted the superior performance of the HHODL-AFDT model over current methodologies with maximum accuracy of 90.60%and 88.08%under PICS and VTB datasets,respectively.
文摘Objective:Guidelines for muscle-invasive bladder cancer(MIBC)recommend that patients receive neoadjuvant chemotherapy with radical cystectomy as treatment over radical cystectomy alone.Though trends and practice patterns of MIBC have been defined using the National Cancer Database,data using the Surveillance,Epidemiology,and End Results(SEER)program have been poorly described.Methods:Using the SEER database,we collected data of MIBC according to the American Joint Commission on Cancer.We considered differences in patient demographics and tumor charac-teristics based on three treatment groups:chemotherapy(both adjuvant and neoadjuvant)with radical cystectomy,radical cystectomy,and chemoradiotherapy.Multinomial logistic regression was performed to compare likelihood ratios.Temporal trends were included for each treatment group.Kaplan-Meier curves were performed to compare cause-specific sur-vival.A Cox proportional-hazards model was utilized to describe predictors of survival.Results:Of 16728 patients,10468 patients received radical cystectomy alone,3236 received chemotherapy with radical cystectomy,and 3024 received chemoradiotherapy.Patients who received chemoradiotherapy over radical cystectomy were older and more likely to be African American;stage III patients tended to be divorced.Patients who received chemotherapy with radical cystectomy tended to be males;stage II patients were less likely to be Asian than Caucasian.Stage III patients were less likely to receive chemoradiotherapy as a treatment op-tion than stage II.Chemotherapy with radical cystectomy and chemoradiotherapy are both un-derutilized treatment options,though increasingly utilized.Kaplan-Meier survival curves showed significant differences between stage II and III tumors at each interval.A Cox proportional-hazards model showed differences in gender,tumor stage,treatment modality,age,andmarital status.Conclusion:Radical cystectomy alone is still the most commonly used treatment for muscle-invasive bladder cancer based on temporal trends.Significant disparities exist in those who receive radical cystectomy over chemoradiotherapy for treatment.
文摘Objective:To surveill emerging variants by nanopore technology-based genome sequencing in different COVID-19 waves in Sri Lanka and to examine the association with the sample characteristics,and vaccination status.Methods:The study analyzed 207 RNA positive swab samples received to sequence laboratory during different waves.The N gene cut-off threshold of less than 30 was considered as the major inclusion criteria.Viral RNA was extracted,and elutes were subjected to nanopore sequencing.All the sequencing data were uploaded in the publicly accessible database,GISAID.Results:The Omicron,Delta and Alpha variants accounted for 58%,22%and 4%of the variants throughout the period.Less than 1%were Kappa variant and 16%of the study samples remained unassigned.Omicron variant was circulated among all age groups and in all the provinces.Ct value and variants assigned percentage was 100%in Ct values of 10-15 while only 45%assigned Ct value over 25.Conclusions:The present study examined the emergence,prevalence,and distribution of SARS-CoV-2 variants locally and has shown that nanopore technology-based genome sequencing enables whole genome sequencing in a low resource setting country.
