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dc.contributor.authorAmoah, Benjamin
dc.contributor.authorMcCann, Robert S.
dc.contributor.authorKabaghe, Alinune N.
dc.contributor.authorMburu, Monicah
dc.contributor.authorChipeta, Michael G.
dc.contributor.authorMoraga, Paula
dc.contributor.authorGowelo, Steven
dc.contributor.authorTizifa, Tinashe
dc.contributor.authorvan den Berg, Henk
dc.contributor.authorMzilahowa, Themba
dc.contributor.authorTakken, Willem
dc.contributor.authorvan Vugt, Michéle
dc.contributor.authorPhiri, Kamija S.
dc.contributor.authorDiggle, Peter J.
dc.contributor.authorTerlouw, Dianne J.
dc.contributor.authorGiorgi, Emanuele
dc.date.accessioned2021-02-25T11:19:14Z
dc.date.available2021-02-25T11:19:14Z
dc.date.issued2021-01-17
dc.identifier.citationAmoah, B., McCann, R. S., Kabaghe, A. N., Mburu, M., Chipeta, M. G., Moraga, P., … Giorgi, E. (2021). Identifying Plasmodium falciparum transmission patterns through parasite prevalence and entomological inoculation rate. doi:10.1101/2021.01.14.426709
dc.identifier.doi10.1101/2021.01.14.426709
dc.identifier.urihttp://hdl.handle.net/10754/667675
dc.description.abstractAbstractMonitoring malaria transmission is a critical component of efforts to achieve targets for elimination and eradication. Two commonly monitored metrics of transmission intensity are parasite prevalence (PR) and the entomological inoculation rate (EIR). Using geostatistical methods, we investigate the relationship between Plasmodium falciparum PR and EIR using data collected over 38 months in a rural area of Malawi. Our results indicate that hotspots identified through the EIR and PR partly overlapped during high transmission seasons but not during low transmission seasons. The estimated relationship showed a one-month delayed effect of EIR on PR such that at low transmission levels increases in EIR are associated with rapid rise in PR, but at high transmission levels, decreases in EIR do not translate into notable reductions in PR. Our study emphasises the need for integrated malaria control strategies that combines vector and human host managements monitored by both entomological and parasitaemia indices.
dc.description.sponsorshipThis study was generously supported by Dioraphte Foundation, The Netherlands. RSM received ad552 ditional support from an NIH-funded postdoctoral fellowship (T32AI007524). The content is solely the responsibility of the authors and does not necessarily represent the official views of the funders. We thank African Parks and The Hunger Project for their significant and practical contributions in facilitating the study. We are grateful to the entire Majete Malaria Project team for their tireless efforts in carrying out the study. The population of the study area is thanked for their cooperation with the study. We also thank: Alex Hiscox for advice on mosquito sampling and study design; Jeroen Spitzen for logistical assistance; and Martin Donnelley, Karl Seydel, and their respective laboratory teams for assistance in molecular identification of malaria parasites and anopheline mosquitoes.
dc.publisherCold Spring Harbor Laboratory
dc.relation.urlhttp://biorxiv.org/lookup/doi/10.1101/2021.01.14.426709
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.titleIdentifying Plasmodium falciparum transmission patterns through parasite prevalence and entomological inoculation rate
dc.typePreprint
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.eprint.versionPre-print
dc.contributor.institutionCentre for Health Informatics, Computing, and Statistics (CHICAS), Lancaster Medical School, Lancaster University, Lancaster, United Kingdom.
kaust.personMoraga, Paula
refterms.dateFOA2021-02-25T11:19:52Z


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