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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, Michele
dc.contributor.authorPhiri, Kamija S
dc.contributor.authorDiggle, Peter J
dc.contributor.authorTerlouw, Dianne J
dc.contributor.authorGiorgi, Emanuele
dc.date.accessioned2021-10-28T12:55:09Z
dc.date.available2021-10-28T12:55:09Z
dc.date.issued2021-10-21
dc.identifier.urihttp://hdl.handle.net/10713/16969
dc.description.abstractBackground: Monitoring 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). Comparing the spatial and temporal variations in the PR and EIR of a given geographical region and modelling the relationship between the two metrics may provide a fuller picture of the malaria epidemiology of the region to inform control activities. Methods: Using geostatistical methods, we compare the spatial and temporal patterns of Plasmodium falciparum EIR and PR using data collected over 38 months in a rural area of Malawi. We then quantify the relationship between EIR and PR by using empirical and mechanistic statistical models. Results: Hotspots identified through the EIR and PR partly overlapped during high transmission seasons but not during low transmission seasons. The estimated relationship showed a 1-month delayed effect of EIR on PR such that at lower levels of EIR, increases in EIR are associated with rapid rise in PR, whereas at higher levels of EIR, changes in EIR do not translate into notable changes in PR. Conclusions: Our study emphasises the need for integrated malaria control strategies that combine vector and human host managements monitored by both entomological and parasitaemia indices.en_US
dc.description.urihttps://doi.org/10.7554/eLife.65682en_US
dc.language.isoenen_US
dc.publishereLife Sciences Publicationsen_US
dc.relation.ispartofeLifeen_US
dc.rights© 2021, Amoah et al.en_US
dc.subjectP. falciparumen_US
dc.subjectPlasmodium falciparumen_US
dc.subjectdisease mappingen_US
dc.subjectentomological inoculation rateen_US
dc.subjectepidemiologyen_US
dc.subjectglobal healthen_US
dc.subjectmalariaen_US
dc.subjectmodel-based geostatisticsen_US
dc.subjectparasite prevalenceen_US
dc.titleIdentifying transmission patterns through parasite prevalence and entomological inoculation rateen_US
dc.typeArticleen_US
dc.identifier.doi10.7554/eLife.65682
dc.identifier.pmid34672946
dc.source.volume10
dc.source.countryEngland


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