This paper presents analysis of a cost effective methodology using remotely sensed data analysed within a geographical systems (GIS) environment for mapping out </span><span style="font-family:Verdana;&q...This paper presents analysis of a cost effective methodology using remotely sensed data analysed within a geographical systems (GIS) environment for mapping out </span><span style="font-family:Verdana;">potential habitats of anthropod vectors responsible for trypanosomiasis in northern Nigeria. These geographical locations are areas with high population of livestock in Nigeria. </span></span><span style="font-family:Verdana;">Animal Trypanosomiasis </span><span style="font-family:Verdana;">is considered as </span><span style="font-family:Verdana;">an arthropod-borne viral disease which is </span><span style="font-family:Verdana;">endemic in about 37 countries of the sub-Saharan Africa and in particular northern Nigeria. </span><span style="font-family:Verdana;">This anthropod-borne viral disease </span><span style="font-family:Verdana;">remains a threat to both humans and livestock in many communities, and the outbreak of such diseases </span><span style="font-family:Verdana;">i</span><span style="font-family:Verdana;">s shown to relate to fluctuations in the changing climate</span><span style="font-family:Verdana;"> mostly experienced whenever there are changes in global precipitation</span><span style="font-family:Verdana;"> which </span><span style="font-family:Verdana;">also relates to changes in sea surface temperatures otherwise known as </span><span style="font-family:Verdana;">“</span><span style="font-family:Verdana;">El Niňo Southern Oscillations</span><span style="font-family:Verdana;">”</span><span style="font-family:Verdana;"> (ENSO). Monthly </span><span style="font-family:Verdana;">Satellite imageries in the form of Normalised Difference Vegetation Index (NDVI) at 250</span><span style="font-family:""> </span><span style="font-family:Verdana;">meters spatial resolution obtained from NASA-MODIS/CMD w</span><span style="font-family:Verdana;">ere</span><span style="font-family:Verdana;"> subjected to principal component analysis utilizing the standardized principal components within a GIS environment and supplemented with Digital Elevation Model (DEM) data in the analysis. Results from the maps showed </span><span style="font-family:Verdana;">that </span><span style="font-family:Verdana;">pockets of probable habitats of these anthropod vectors responsible for trypanosomiasis mostly located around forest islands characterized by dry woodland and savanna, and in some cases around gallery forests and few lowland and riverine areas. This study provides baseline information for policy makers in Nigeria and other stakeholders as a cost effective measure for mapping potential habitats for anthropod vectors responsible for trypanosomiasis in Northern Nigeria. Further studies are encouraged so as to clearly understand the magnitude and actual locations of the habitat of this vector and find ways of targeting their locations for minimizing or even eradicating these vectors.展开更多
文摘This paper presents analysis of a cost effective methodology using remotely sensed data analysed within a geographical systems (GIS) environment for mapping out </span><span style="font-family:Verdana;">potential habitats of anthropod vectors responsible for trypanosomiasis in northern Nigeria. These geographical locations are areas with high population of livestock in Nigeria. </span></span><span style="font-family:Verdana;">Animal Trypanosomiasis </span><span style="font-family:Verdana;">is considered as </span><span style="font-family:Verdana;">an arthropod-borne viral disease which is </span><span style="font-family:Verdana;">endemic in about 37 countries of the sub-Saharan Africa and in particular northern Nigeria. </span><span style="font-family:Verdana;">This anthropod-borne viral disease </span><span style="font-family:Verdana;">remains a threat to both humans and livestock in many communities, and the outbreak of such diseases </span><span style="font-family:Verdana;">i</span><span style="font-family:Verdana;">s shown to relate to fluctuations in the changing climate</span><span style="font-family:Verdana;"> mostly experienced whenever there are changes in global precipitation</span><span style="font-family:Verdana;"> which </span><span style="font-family:Verdana;">also relates to changes in sea surface temperatures otherwise known as </span><span style="font-family:Verdana;">“</span><span style="font-family:Verdana;">El Niňo Southern Oscillations</span><span style="font-family:Verdana;">”</span><span style="font-family:Verdana;"> (ENSO). Monthly </span><span style="font-family:Verdana;">Satellite imageries in the form of Normalised Difference Vegetation Index (NDVI) at 250</span><span style="font-family:""> </span><span style="font-family:Verdana;">meters spatial resolution obtained from NASA-MODIS/CMD w</span><span style="font-family:Verdana;">ere</span><span style="font-family:Verdana;"> subjected to principal component analysis utilizing the standardized principal components within a GIS environment and supplemented with Digital Elevation Model (DEM) data in the analysis. Results from the maps showed </span><span style="font-family:Verdana;">that </span><span style="font-family:Verdana;">pockets of probable habitats of these anthropod vectors responsible for trypanosomiasis mostly located around forest islands characterized by dry woodland and savanna, and in some cases around gallery forests and few lowland and riverine areas. This study provides baseline information for policy makers in Nigeria and other stakeholders as a cost effective measure for mapping potential habitats for anthropod vectors responsible for trypanosomiasis in Northern Nigeria. Further studies are encouraged so as to clearly understand the magnitude and actual locations of the habitat of this vector and find ways of targeting their locations for minimizing or even eradicating these vectors.
