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Ecology Drives the Worldwide Distribution of Human Diseases

Authors: Guernier, Vanina; Hochberg, Michael; Guégan, Jean-François;

Ecology Drives the Worldwide Distribution of Human Diseases

Abstract

Identifying the factors underlying the origin and maintenance of the latitudinal diversity gradient is a central problem in ecology, but no consensus has emerged on which processes might generate this broad pattern. Interestingly, the vast majority of studies exploring the gradient have focused on free-living organisms, ignoring parasitic and infectious disease (PID) species. Here, we address the influence of environmental factors on the biological diversity of human pathogens and their global spatial organization. Using generalized linear multivariate models and Monte Carlo simulations, we conducted a series of comparative analyses to test the hypothesis that human PIDs exhibit the same global patterns of distribution as other taxonomic groups. We found a significant negative relationship between latitude and PID species richness, and a nested spatial organization, i.e., the accumulation of PID species with latitude, over large spatial scales. Additionally, our results show that climatic factors are of primary importance in explaining the link between latitude and the spatial pattern of human pathogens. Based on our findings, we propose that the global latitudinal species diversity gradient might be generated in large part by biotic interactions, providing strong support for the idea that current estimates of species diversity are substantially underestimated. When parasites and pathogens are included, estimates of total species diversity may increase by more than an order of magnitude.

Country
France
Keywords

570, QH301-705.5, Climate, 590, Environment, Communicable Diseases, Parasitic Diseases, Humans, Biology (General), Species diversity, Demography, Latitude, Ecology, Geography, Viral pathogens, Biodiversity, Northern hemisphere, Parasitic diseases, Monte Carlo method, [SDE.BE] Environmental Sciences/Biodiversity and Ecology, [SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie, Multivariate Analysis, Linear Models, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Pathogens, Monte Carlo Method, Research Article

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    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).
    543
    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.
    Top 0.1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
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!
543
Top 0.1%
Top 1%
Top 1%
Green
gold