Identifying Plasmodium falciparum transmission patterns through parasite prevalence and entomological inoculation rate.
File(s)elife-65682-v1.pdf (3.64 MB)
Published version
OA Location
Author(s)
Type
Journal Article
Abstract
Background: 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. Funding: This work was supported by Stichting Dioraphte grant number 13050800.
Date Issued
2021-10-21
Date Acceptance
2021-09-30
Citation
eLife, 2021, 10, pp.1-32
ISSN
2050-084X
Publisher
eLife Sciences Publications Ltd
Start Page
1
End Page
32
Journal / Book Title
eLife
Volume
10
Copyright Statement
© Amoah et al. This
article is distributed under the
terms of the Creative Commons
Attribution License, which
permits unrestricted use and
redistribution provided that the
original author and source are
credited.
article is distributed under the
terms of the Creative Commons
Attribution License, which
permits unrestricted use and
redistribution provided that the
original author and source are
credited.
License URL
Identifier
https://www.ncbi.nlm.nih.gov/pubmed/34672946
PII: 65682
Subjects
P. falciparum
Plasmodium falciparum
disease mapping
entomological inoculation rate
epidemiology
global health
malaria
model-based geostatistics
parasite prevalence
Adolescent
Adult
Animals
Anopheles
Child, Preschool
Female
Humans
Infant
Malaria, Falciparum
Malawi
Male
Middle Aged
Models, Statistical
Mosquito Vectors
Plasmodium falciparum
Prevalence
Spatio-Temporal Analysis
Young Adult
Publication Status
Published
Coverage Spatial
England
Date Publish Online
2021-10-21