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Exploring relationships between drought and epidemic cholera in Africa using generalised linear models

استكشاف العلاقات بين الجفاف والكوليرا الوبائية في أفريقيا باستخدام نماذج خطية معممة
Authors: Ilan Kelman; Ilan Kelman; Nathan Green; Kris A. Murray; Kris A. Murray; Gina E C Charnley; Wes Hinsley; +1 Authors

Exploring relationships between drought and epidemic cholera in Africa using generalised linear models

Abstract

AbstractBackgroundTemperature and precipitation are known to affectVibrio choleraeoutbreaks. Despite this, the impact of drought on outbreaks has been largely understudied. Africa is both drought and cholera prone and more research is needed in Africa to understand cholera dynamics in relation to drought.MethodsHere, we analyse a range of environmental and socioeconomic covariates and fit generalised linear models to publicly available national data, to test for associations with several indices of drought and make cholera outbreak projections to 2070 under three scenarios of global change, reflecting varying trajectories of CO2emissions, socio-economic development, and population growth.ResultsThe best-fit model implies that drought is a significant risk factor for African cholera outbreaks, alongside positive effects of population, temperature and poverty and a negative effect of freshwater withdrawal. The projections show that following stringent emissions pathways and expanding sustainable development may reduce cholera outbreak occurrence in Africa, although these changes were spatially heterogeneous.ConclusionsDespite an effect of drought in explaining recent cholera outbreaks, future projections highlighted the potential for sustainable development gains to offset drought-related impacts on cholera risk. Future work should build on this research investigating the impacts of drought on cholera on a finer spatial scale and potential non-linear relationships, especially in high-burden countries which saw little cholera change in the scenario analysis.

Countries
United Kingdom, Norway, Norway
Keywords

Epidemiology, Economics, Infectious and parasitic diseases, RC109-216, 910, FOS: Health sciences, Disease Outbreaks, Agricultural and Biological Sciences, Endocrinology, Cholera, 1108 Medical Microbiology, Climate change, Disease outbreaks, Vibrio cholerae, Climatology, Public health, Dynamics and Pathogenesis of Cholera Bacteria, Nutrition and Dietetics, Geography, Ecology, Life Sciences, Geology, Droughts, Environmental health, VDP::Medisinske Fag: 700::Helsefag: 800, Socioeconomic status, Medicine, 0605 Microbiology, 570, 330, Population, Soil Science, Nursing, Microbiology, Environmental science, Biochemistry, Genetics and Molecular Biology, Virology, Health Sciences, Humans, Epidemics, Poverty, Biology, Economic growth, Maternal and Child Nutrition in Developing Countries, Research, Risk Management and Vulnerability in Agriculture, 1103 Clinical Sciences, Outbreak, FOS: Earth and related environmental sciences, Socioeconomics, FOS: Biological sciences, Africa, Linear Models

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
16
Top 10%
Top 10%
Top 10%