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Volume 26, Number 2—February 2020

Exposure to Ebola Virus and Risk for Infection with Malaria Parasites, Rural Gabon

Jessica L. AbbateComments to Author , Pierre Becquart, Eric Leroy, Vanessa O. Ezenwa1, and Benjamin Roche1
Author affiliations: Institut de Recherche pour le Développement, Unité Mixte de Recherche MIVEGEC, Montpellier, France (J.L. Abbate, P. Becquart, E. Leroy, B. Roche); Institut de Recherche pour le Développement, Unité Mixte Internationale UMMISCO, Bondy, France (J.L. Abbate, B. Roche); CIRMF, Franceville, Gabon (E. Leroy); University of Georgia, Athens, Georgia, USA (V.O. Ezenwa); Universidad National Autonoma de Mexico, Mexico City, Mexico (B. Roche)

Main Article

Figure 2

Association of Ebola virus exposure and Plasmodium spp. infection across rural communities in Gabon. A) Geographic distribution of Ebola virus antibody seroprevalence. B) Geographic distribution of malaria parasite (all Plasmodium species) prevalence. C) Correlation between these geographic distributions at the level of administrative department (ρ = 0.43, p<0.01). The fitted curve and 95% CIs (gray shading) were generated by using the predict function from the basic stats package in the R ve

Figure 2. Association of Ebola virus exposure and Plasmodium spp. infection across rural communities in Gabon. A) Geographic distribution of Ebola virus antibody seroprevalence. B) Geographic distribution of malaria parasite (all Plasmodium species) prevalence. C) Correlation between these geographic distributions at the level of administrative department (ρ = 0.43, p<0.01). The fitted curve and 95% CIs (gray shading) were generated by using the predict function from the basic stats package in the R version 3.2.2 statistical programming environment (23), based on a linear model between the 2 variables weighted by the number of persons sampled in each department.

Main Article

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Main Article

1These senior authors contributed equally to this article.

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