Revisiting immunity vs. exposure in schistosomiasis: A mathematical modeling study of delayed concomitant immunity.
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Peer-reviewed
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Abstract
The relative contributions of exposure vs. acquired immunity to the epidemiology of human schistosomiasis has been long debated. While there is considerable evidence that humans acquire partial immunity to infection, age- and sex-related contact patterns with water bodies contaminated with infectious cercarial schistosome larvae also contribute to typical epidemiological profiles of infection. Here, we develop a novel schistosome transmission model that incorporates both partially protective "delayed concomitant" acquired immunity-stimulated by dying worms-and host age- and sex-dependent patterns of exposure. We use a contemporary Bayesian approach to fit the model to historical individual data on exposure to infectious cercaria, eggs per gram of feces, and immunoglobulin E antibodies specific to Schistosoma mansoni Tegumental-Allergen-Like protein 1 collected from a highly endemic community in Uganda, estimating the relative contributions of exposure and acquired immunity. We find that model variants incorporating or omitting delayed concomitant immunity describe equally well the age- and sex-specific immunoepidemiological patterns observed before intervention and 18 months after treatment. Over longer time horizons, we find that acquired immunity creates subtle differences in immunoepidemiological profiles during routine mass drug administration that may confer resilience against elimination. We discuss our findings in the broader context of the immunoepidemiology of schistosomiasis.
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Acknowledgements: This work could not be realized without the friendly co-operation of the people of Buliisa District. We would also like to acknowledge VCD technicians, especially the late J. Kemijumbi, A. Wamboko, and D. Nionsaba, and A. Babyesiza and N. Okumu for their dedication in leading the water contact observation team at Lake Albert. We deeply appreciate the field team leadership by Drs F. Kazibwe and E.M. Tukahebwa. The IgE data were generated under the leadership of Prof. D.W. Dunne; SW thanks him for the wealth of immunity data that allowed this work. Dr A. Pinot de Moira is thanked for her tireless work in generating the cercarial exposure scores. Finally, we are most grateful for the late Prof. A.E. Butterworth, Dr J.H. Ouma, Prof. B.J. Vennervald, and A.J.C. Fulford, whose inputs were extremely valuable in shaping the original study design.
Funder: European Union; doi: https://doi.org/10.13039/501100000780
Funder: UK Medical Research Council; doi: https://doi.org/10.13039/501100000265
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2752-6542

