The coronavirus disease 2019(COVID-19)pandemic is a global crisis,and medical systems in many countries are overwhelmed with supply shortages and increasing demands to treat patients due to the surge in cases and seve...The coronavirus disease 2019(COVID-19)pandemic is a global crisis,and medical systems in many countries are overwhelmed with supply shortages and increasing demands to treat patients due to the surge in cases and severe illnesses.This study aimed to assess COVID-19-related essential clinical resource demands in China,based on different scenarios involving COVID-19 spreads and interventions.We used a susceptible–exposed–infectious–hospitalized/isolated–removed(SEIHR)transmission dynamics model to estimate the number of COVID-19 infections and hospitalizations with corresponding essential healthcare resources needed.We found that,under strict non-pharmaceutical interventions(NPIs)or mass vaccination of the population,China would be able to contain community transmission and local outbreaks rapidly.However,under scenarios involving a low intensity of implemented NPIs and a small proportion of the population vaccinated,the use of a peacetime–wartime transition model would be needed for medical source stockpiles and preparations to ensure a normal functioning healthcare system.The implementation of COVID-19 vaccines and NPIs in different periods can influence the transmission of COVID-19 and subsequently affect the demand for clinical diagnosis and treatment.An increased proportion of asymptomatic infections in simulations will not reduce the demand for medical resources;however,attention must be paid to the increasing difficulty in containing COVID-19 transmission due to asymptomatic cases.This study provides evidence for emergency preparations and the adjustment of prevention and control strategies during the COVID-19 pandemic.It also provides guidance for essential healthcare investment and resource allocation.展开更多
Background The global coronavirus disease 2019(COVID-19)has caused many negative effects on physical and mental health of patients who have survived COVID-19.Apart from some long-lasting physical sequelae,those COVID-...Background The global coronavirus disease 2019(COVID-19)has caused many negative effects on physical and mental health of patients who have survived COVID-19.Apart from some long-lasting physical sequelae,those COVID-19 survivors are also suffering stigma and discrimination at different levels around the world.The current study aims to assess the role resilience played in stigma and mental disorders among COVID-19 survivors.Methods The cross-sectional study was carried out among former COVID-19 patients in Jianghan District(Wuhan,China)from June 10 to July 25,2021.The demographic questions,the Impact of Events Scale-Revised,the Generalized Anxiety Disorder Questionnaire,the Patient Health Questionnaire,the Resilience Style Questionnaire and the Short Version of COVID-19 Stigma Scale of 12 items were used to collect relevant information of the participants.Descriptive analyses,Pearson correlation analysis and Structural Equation Modeling were used to make data description and analysis.Results A total of 1541 out of 1601 COVID-19 survivors(887 females and 654 males)were included in the analysis.Perceived stigma of those COVID-19 survivors correlates significantly with anxiety(r=0.335,P<0.001),depression(r=0.325,P<0.001)and post-traumatic stress disorder(PTSD)(r=0.384,P<0.001).It has a direct effect on COVID-19 survivors’anxiety(β=0.326,P<0.001),depression(β=0.314,P<0.001),PTSD(β=0.385,P<0.001)and their resilience(β=−0.114,P<0.01).Resilience partially mediated the association between perceived stigma and anxiety(β=0.020,P<0.01),depression(β=0.020,P<0.01),and PTSD(β=0.014,P<0.01)among COVID-19 survivors.Conclusion Stigma has a significant negative impact on mental health,while resilience plays a mediator role in the relationship between stigma and mental health among COVID-19 survivors.Based on our study,we suggested that when designing psychological interventions for COVID-19 survivors,consideration should be taken into account to reduce stigma and improve resilience.展开更多
As we enter.2022,we are facedwith the fact that coronavirus disease2019(CovID-19)has been devastating the world formore than 2full years.Since the original outbreak of COVID-19in December2019,the disease has proved to...As we enter.2022,we are facedwith the fact that coronavirus disease2019(CovID-19)has been devastating the world formore than 2full years.Since the original outbreak of COVID-19in December2019,the disease has proved to be a major threat to global health and,perhaps more importantly,one that is not likely to be resolved soon.Severe_acute respiratory syndrome coronavirus.展开更多
Background: A high-risk prevention strategy is an effective way to fight against human immunodeficiency virus (HIV) and acquired immunodeficiency syndrome (AIDS). The China AIDS Fund for Non-Governmental Organizations...Background: A high-risk prevention strategy is an effective way to fight against human immunodeficiency virus (HIV) and acquired immunodeficiency syndrome (AIDS). The China AIDS Fund for Non-Governmental Organizations (CAFNGO) was established in 2015 to help social organizations intervene to protect high-risk populations in 176 cities. This study aimed to evaluate the role of social organizations in high-risk population interventions against HIV/AIDS.Methods: This study was based on the CAFNGO program from 2016 to 2020. The collected data included the number and types of social organizations participating in high-risk group interventions and the amount of funds obtained by these organizations each year. We explored the factors influencing the number of newly diagnosed AIDS cases using a spatial econometric model. Furthermore, we evaluated the effectiveness of intervention activities by comparing the percentages of the individuals who initially tested positive, and the individuals who took the confirmatory test, as well as those who retested positive and underwent the treatment.Results: Overall, from 2016 to 2020, the number of social organizations involved in interventions to protect HIV/AIDS high-risk populations increased from 441 to 532, and the invested fund increased from $3.98 to $10.58 million. The number of newly diagnosed cases decreased from 9128 to 8546 during the same period. Although the number of cities with overall spatial correlations decreased, the spatial agglomeration effect persisted in the large cities. Citywise, the number of social organizations (direct effect 19.13), the permanent resident population (direct effect 0.12), GDP per capita (direct effect 17.58;indirect effect -15.38), and passenger turnover volume (direct effect 5.50;indirect effect -8.64) were the major factors influencing new positive cases confirmed through the testing interventions performed by the social organizations. The initial positive test rates among high-risk populations were below 5.5%, the retesting rates among those who initially tested positive were above 60%, and the treatment rates among diagnosed cases were above 70%.Conclusions: The spatial effect of social organizations participating in interventions targeting high-risk populations funded by CAFNGO is statistically significant. Nevertheless, despite the achievements of these social organizations in tracking new cases and encouraging treatment, a series of measures should be taken to further optimize the use of CAFNGO. Working data should be updated from social organizations to CAFNGO more frequently by establishing a data monitoring system to help better track newly diagnosed AIDS cases. Multichannel financing should be expanded as well.展开更多
What is already known about this topic?Health-adjusted life expectancy(HALE)is a crucial indicator of global health,which is strongly correlated with the socio-demographic index(SDI)and population dynamics.What is add...What is already known about this topic?Health-adjusted life expectancy(HALE)is a crucial indicator of global health,which is strongly correlated with the socio-demographic index(SDI)and population dynamics.What is added by this report?This study revealed that the correlation between total fertility rate(TFR)and HALE of older adults varies across countries with different SDI levels,offering valuable insights for the development of more targeted health promotion programs and interventions.What are the implications for public health practice?Different health interventions should be tailored to countries with different levels of SDI.In countries with both low fertility rates and low SDI,advanced measures are needed to address the challenge of an aging population that may live longer but face poorer health in the future.展开更多
基金supported by the following fundings:Chinese Academy of Medical Sciences(CAMS)Innovation Fund for Medical Sciences(2020-I2M-1-001,2020-I2M-2-015,and 2016-I2M-1-014)National Social Science Fund of China(20&ZD201).
文摘The coronavirus disease 2019(COVID-19)pandemic is a global crisis,and medical systems in many countries are overwhelmed with supply shortages and increasing demands to treat patients due to the surge in cases and severe illnesses.This study aimed to assess COVID-19-related essential clinical resource demands in China,based on different scenarios involving COVID-19 spreads and interventions.We used a susceptible–exposed–infectious–hospitalized/isolated–removed(SEIHR)transmission dynamics model to estimate the number of COVID-19 infections and hospitalizations with corresponding essential healthcare resources needed.We found that,under strict non-pharmaceutical interventions(NPIs)or mass vaccination of the population,China would be able to contain community transmission and local outbreaks rapidly.However,under scenarios involving a low intensity of implemented NPIs and a small proportion of the population vaccinated,the use of a peacetime–wartime transition model would be needed for medical source stockpiles and preparations to ensure a normal functioning healthcare system.The implementation of COVID-19 vaccines and NPIs in different periods can influence the transmission of COVID-19 and subsequently affect the demand for clinical diagnosis and treatment.An increased proportion of asymptomatic infections in simulations will not reduce the demand for medical resources;however,attention must be paid to the increasing difficulty in containing COVID-19 transmission due to asymptomatic cases.This study provides evidence for emergency preparations and the adjustment of prevention and control strategies during the COVID-19 pandemic.It also provides guidance for essential healthcare investment and resource allocation.
文摘Background The global coronavirus disease 2019(COVID-19)has caused many negative effects on physical and mental health of patients who have survived COVID-19.Apart from some long-lasting physical sequelae,those COVID-19 survivors are also suffering stigma and discrimination at different levels around the world.The current study aims to assess the role resilience played in stigma and mental disorders among COVID-19 survivors.Methods The cross-sectional study was carried out among former COVID-19 patients in Jianghan District(Wuhan,China)from June 10 to July 25,2021.The demographic questions,the Impact of Events Scale-Revised,the Generalized Anxiety Disorder Questionnaire,the Patient Health Questionnaire,the Resilience Style Questionnaire and the Short Version of COVID-19 Stigma Scale of 12 items were used to collect relevant information of the participants.Descriptive analyses,Pearson correlation analysis and Structural Equation Modeling were used to make data description and analysis.Results A total of 1541 out of 1601 COVID-19 survivors(887 females and 654 males)were included in the analysis.Perceived stigma of those COVID-19 survivors correlates significantly with anxiety(r=0.335,P<0.001),depression(r=0.325,P<0.001)and post-traumatic stress disorder(PTSD)(r=0.384,P<0.001).It has a direct effect on COVID-19 survivors’anxiety(β=0.326,P<0.001),depression(β=0.314,P<0.001),PTSD(β=0.385,P<0.001)and their resilience(β=−0.114,P<0.01).Resilience partially mediated the association between perceived stigma and anxiety(β=0.020,P<0.01),depression(β=0.020,P<0.01),and PTSD(β=0.014,P<0.01)among COVID-19 survivors.Conclusion Stigma has a significant negative impact on mental health,while resilience plays a mediator role in the relationship between stigma and mental health among COVID-19 survivors.Based on our study,we suggested that when designing psychological interventions for COVID-19 survivors,consideration should be taken into account to reduce stigma and improve resilience.
基金This work was supported by the grants from Chinese Academy of Medical Sciences(CAMS)Innovation Fund for Medical Sciences(No.2020-I2M-1-001,2021-I2M-1-044),the Beijing Advanced Disciplines Construction Project:"Population Medicine",the Double First-Class Disciplines Construction Project of Peking Union Medical College(No.201910200501)"Population Medicine",and the CAMS Innovation Fund for Medical Sciences(CIFMS)(No.2020-I2M-2-00):Demonstration site establishment based on population medicine&Integration of clinical medicine and public health in Guizhou.
文摘As we enter.2022,we are facedwith the fact that coronavirus disease2019(CovID-19)has been devastating the world formore than 2full years.Since the original outbreak of COVID-19in December2019,the disease has proved to be a major threat to global health and,perhaps more importantly,one that is not likely to be resolved soon.Severe_acute respiratory syndrome coronavirus.
基金Research on population medicine theory,XK-001-YWZChina AIDS Fund for Non-governmental Organizations,Disciplines construction project:Population medicine,Zhejiang Province soft science research program,2021C35013.
文摘Background: A high-risk prevention strategy is an effective way to fight against human immunodeficiency virus (HIV) and acquired immunodeficiency syndrome (AIDS). The China AIDS Fund for Non-Governmental Organizations (CAFNGO) was established in 2015 to help social organizations intervene to protect high-risk populations in 176 cities. This study aimed to evaluate the role of social organizations in high-risk population interventions against HIV/AIDS.Methods: This study was based on the CAFNGO program from 2016 to 2020. The collected data included the number and types of social organizations participating in high-risk group interventions and the amount of funds obtained by these organizations each year. We explored the factors influencing the number of newly diagnosed AIDS cases using a spatial econometric model. Furthermore, we evaluated the effectiveness of intervention activities by comparing the percentages of the individuals who initially tested positive, and the individuals who took the confirmatory test, as well as those who retested positive and underwent the treatment.Results: Overall, from 2016 to 2020, the number of social organizations involved in interventions to protect HIV/AIDS high-risk populations increased from 441 to 532, and the invested fund increased from $3.98 to $10.58 million. The number of newly diagnosed cases decreased from 9128 to 8546 during the same period. Although the number of cities with overall spatial correlations decreased, the spatial agglomeration effect persisted in the large cities. Citywise, the number of social organizations (direct effect 19.13), the permanent resident population (direct effect 0.12), GDP per capita (direct effect 17.58;indirect effect -15.38), and passenger turnover volume (direct effect 5.50;indirect effect -8.64) were the major factors influencing new positive cases confirmed through the testing interventions performed by the social organizations. The initial positive test rates among high-risk populations were below 5.5%, the retesting rates among those who initially tested positive were above 60%, and the treatment rates among diagnosed cases were above 70%.Conclusions: The spatial effect of social organizations participating in interventions targeting high-risk populations funded by CAFNGO is statistically significant. Nevertheless, despite the achievements of these social organizations in tracking new cases and encouraging treatment, a series of measures should be taken to further optimize the use of CAFNGO. Working data should be updated from social organizations to CAFNGO more frequently by establishing a data monitoring system to help better track newly diagnosed AIDS cases. Multichannel financing should be expanded as well.
基金Supported by the National Key Research and Development Program of China(No.2022YFC3600800)the Peking Union Medical College Education Foundation+2 种基金the Chinese Academy of Medical Sciences Basic Fund-Talent Introduction and Development Project(NO.2023-RC330-01)Population and Aging Health Science Program(WH10022023035)the Postdoctoral Fellowship Program of CPSF under Grant Number GZC20240155.
文摘What is already known about this topic?Health-adjusted life expectancy(HALE)is a crucial indicator of global health,which is strongly correlated with the socio-demographic index(SDI)and population dynamics.What is added by this report?This study revealed that the correlation between total fertility rate(TFR)and HALE of older adults varies across countries with different SDI levels,offering valuable insights for the development of more targeted health promotion programs and interventions.What are the implications for public health practice?Different health interventions should be tailored to countries with different levels of SDI.In countries with both low fertility rates and low SDI,advanced measures are needed to address the challenge of an aging population that may live longer but face poorer health in the future.
