Background Malaria is a major worldwide health concern that impacts many individuals worldwide.P.falciparum is Africa’s main malaria cause.However,P.vivax share a large number in Ethiopia than any other countries in ...Background Malaria is a major worldwide health concern that impacts many individuals worldwide.P.falciparum is Africa’s main malaria cause.However,P.vivax share a large number in Ethiopia than any other countries in Africa,followed by the closest countries.This research aims to examine the spatiotemporal trends in the risk of malaria caused by P.falciparum and P.vivax in Ethiopia and other countries that share borders between 2011 and 2020.Methods This study was carried-out in seven East African countries in 115 administration level 1(region)settings.We used secondary data on two plasmodium parasites,P.falciparum,and P.vivax,between 2011 and 2020 from the Malaria Atlas Project.This study used a Bayesian setup with an integrated nested Laplace approximation to adopt spatiotemporal models.Results We analyzed P.falciparum and P.vivax malaria incidence data from 2011 to 2020 in 115 regions.Between 2011 and 2020,all of South Sudan’s areas,Ethiopia’s Gambella region,and Kenya’s Homa Bay,Siaya,Busia,Kakamega,and Vihita regions were at a higher risk of contracting P.falciparum malaria than their neighbors in seven East African nations.However,the Southern Nations,nationalities,and people,as well as the Oromia,Harari,Afar,and Amhara areas in Ethiopia,and the Blue Nile in Sudan,are the regions with a higher risk of P.vivax malaria than their bordering regions.For both P.falciparum and P.vivax,the spatially coordinated main effect and the unstructured spatial effect show minimal fluctuation across and within 115 regions during the study period.Through a random walk across 115 regions,the time-structured effect of P.falciparum malaria risk shows linear increases,whereas the temporally structured effect of P.vivax shows increases from 2011 to 2014 and decreases from 2017 to 2020.Conclusions The global malaria control and eradication effort should concentrate particularly on the South Sudan and Ethiopia regions to provide more intervention control to lower the risk of malaria incidence in East African countries,as both countries have high levels of P.falciparum and P.vivax,respectively.展开更多
Poverty and malaria appear to have an intertwined link.This paper aims to define the relationship between poverty and malaria in Yunnan,China,and to make recommendations for future research in this important area.Data...Poverty and malaria appear to have an intertwined link.This paper aims to define the relationship between poverty and malaria in Yunnan,China,and to make recommendations for future research in this important area.Data on malaria prevalence and the population’s income in each county between 2005 and 2010 were obtained from the Yunnan Center for Disease Control and Prevention and the Yunnan Bureau of Statistics,respectively.Geographic mapping shows an apparent spatial convergence of poverty and the incidence of malaria at a county level,and suggests that poverty may be one of the drivers of malaria transmission in Yunnan.Future research should focus on:1.measuring and quantifying the relationship between poverty and the malaria burden at the individual,community,county and regional level in Yunnan;and 2.developing the GIS-based spatial decision support system(SDSS)framework in malaria endemic areas,particularly along the border areas in Yunnan.展开更多
文摘Background Malaria is a major worldwide health concern that impacts many individuals worldwide.P.falciparum is Africa’s main malaria cause.However,P.vivax share a large number in Ethiopia than any other countries in Africa,followed by the closest countries.This research aims to examine the spatiotemporal trends in the risk of malaria caused by P.falciparum and P.vivax in Ethiopia and other countries that share borders between 2011 and 2020.Methods This study was carried-out in seven East African countries in 115 administration level 1(region)settings.We used secondary data on two plasmodium parasites,P.falciparum,and P.vivax,between 2011 and 2020 from the Malaria Atlas Project.This study used a Bayesian setup with an integrated nested Laplace approximation to adopt spatiotemporal models.Results We analyzed P.falciparum and P.vivax malaria incidence data from 2011 to 2020 in 115 regions.Between 2011 and 2020,all of South Sudan’s areas,Ethiopia’s Gambella region,and Kenya’s Homa Bay,Siaya,Busia,Kakamega,and Vihita regions were at a higher risk of contracting P.falciparum malaria than their neighbors in seven East African nations.However,the Southern Nations,nationalities,and people,as well as the Oromia,Harari,Afar,and Amhara areas in Ethiopia,and the Blue Nile in Sudan,are the regions with a higher risk of P.vivax malaria than their bordering regions.For both P.falciparum and P.vivax,the spatially coordinated main effect and the unstructured spatial effect show minimal fluctuation across and within 115 regions during the study period.Through a random walk across 115 regions,the time-structured effect of P.falciparum malaria risk shows linear increases,whereas the temporally structured effect of P.vivax shows increases from 2011 to 2014 and decreases from 2017 to 2020.Conclusions The global malaria control and eradication effort should concentrate particularly on the South Sudan and Ethiopia regions to provide more intervention control to lower the risk of malaria incidence in East African countries,as both countries have high levels of P.falciparum and P.vivax,respectively.
基金Yan Bi was supported by a Queensland University of Technology Postgraduate Research Scholarship and Write Up ScholarshipShilu Tong was supported by a NHMRC Research Fellowship(#553043).
文摘Poverty and malaria appear to have an intertwined link.This paper aims to define the relationship between poverty and malaria in Yunnan,China,and to make recommendations for future research in this important area.Data on malaria prevalence and the population’s income in each county between 2005 and 2010 were obtained from the Yunnan Center for Disease Control and Prevention and the Yunnan Bureau of Statistics,respectively.Geographic mapping shows an apparent spatial convergence of poverty and the incidence of malaria at a county level,and suggests that poverty may be one of the drivers of malaria transmission in Yunnan.Future research should focus on:1.measuring and quantifying the relationship between poverty and the malaria burden at the individual,community,county and regional level in Yunnan;and 2.developing the GIS-based spatial decision support system(SDSS)framework in malaria endemic areas,particularly along the border areas in Yunnan.
