Modelling Co-Infection with Malaria and Lymphatic Filariasis

Hannah C. Slater, Manoj Gambhir, Paul E. Parham, Edwin Michael

Research output: Contribution to journalArticleResearchpeer-review

15 Citations (Scopus)

Abstract

Malaria and lymphatic filariasis (LF) continue to cause a considerable public health burden globally and are co-endemic in many regions of sub-Saharan Africa. These infections are transmitted by the same mosquito species which raises important questions about optimal vector control strategies in co-endemic regions, as well as the effect of the presence of each infection on endemicity of the other; there is currently little consensus on the latter. The need for comprehensive modelling studies to address such questions is therefore significant, yet very few have been undertaken to date despite the recognised explanatory power of reliable dynamic mathematical models. Here, we develop a malaria-LF co-infection modelling framework that accounts for two key interactions between these infections, namely the increase in vector mortality as LF mosquito prevalence increases and the antagonistic Th1/Th2 immune response that occurs in co-infected hosts. We consider the crucial interplay between these interactions on the resulting endemic prevalence when introducing each infection in regions where the other is already endemic (e.g. due to regional environmental change), and the associated timescale for such changes, as well as effects on the basic reproduction number R0 of each disease. We also highlight potential perverse effects of vector controls on human infection prevalence in co-endemic regions, noting that understanding such effects is critical in designing optimal integrated control programmes. Hence, as well as highlighting where better data are required to more reliably address such questions, we provide an important framework that will form the basis of future scenario analysis tools used to plan and inform policy decisions on intervention measures in different transmission settings.

Original languageEnglish
Article numbere1003096
JournalPLoS Computational Biology
Volume9
Issue number6
DOIs
Publication statusPublished - Jun 2013
Externally publishedYes

Cite this

Slater, H. C., Gambhir, M., Parham, P. E., & Michael, E. (2013). Modelling Co-Infection with Malaria and Lymphatic Filariasis. PLoS Computational Biology, 9(6), [e1003096]. https://doi.org/10.1371/journal.pcbi.1003096