Journal article

Joint Modeling of Mixed Plasmodium Species Infections Using a Bivariate Poisson Lognormal Model

Kathryn L Colborn, Ivo Mueller, Terence P Speed

AMERICAN JOURNAL OF TROPICAL MEDICINE AND HYGIENE | AMER SOC TROP MED & HYGIENE | Published : 2018

Abstract

Infectious diseases often present as coinfections that may affect each other in positive or negative ways. Understanding the relationship between two coinfecting pathogens is thus important to understand the risk of infection and burden of disease caused by each pathogen. Although coinfections with Plasmodium falciparum and Plasmodium vivax are very common outside Africa, it is yet unclear whether infections by the two parasite species are positively associated or if infection by one parasite suppresses the other. In this study, we use bivariate Poisson lognormal models (BPLM) to estimate covariate-adjusted associations between the incidence of infections (as measured by the force of blood-s..

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Grants

Awarded by Australian National Health and Medical Research Council (NHMRC)


Awarded by Swiss National Science Foundation Grants


Awarded by National Institutes of Health Grants


Funding Acknowledgements

This work was funded in part by Australian National Health and Medical Research Council (NHMRC) program grant 490037, Swiss National Science Foundation Grants 310030-134889 and 31003A-112196, and National Institutes of Health Grants AI063135, AI-46919, and TW007872.