Journal article
Investigating differences in village-level heterogeneity of malaria infection and household risk factors in Papua New Guinea
D Gul, D Rodríguez-Rodríguez, E Nate, A Auwan, M Salib, L Lorry, JB Keven, M Katusele, J Rosado, N Hofmann, M Ome-Kaius, C Koepfli, I Felger, JW Kazura, MW Hetzel, I Mueller, S Karl, ACA Clements, FJI Fowkes, M Laman Show all
Scientific Reports | Published : 2021
Abstract
Malaria risk is highly heterogeneous. Understanding village and household-level spatial heterogeneity of malaria risk can support a transition to spatially targeted interventions for malaria elimination. This analysis uses data from cross-sectional prevalence surveys conducted in 2014 and 2016 in two villages (Megiar and Mirap) in Papua New Guinea. Generalised additive modelling was used to characterise spatial heterogeneity of malaria risk and investigate the contribution of individual, household and environmental-level risk factors. Following a period of declining malaria prevalence, the prevalence of P. falciparum increased from 11.4 to 19.1% in Megiar and 12.3 to 28.3% in Mirap between 2..
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Awarded by Wellcome Trust
Funding Acknowledgements
The authors would like to thank all study participants and their communities for their time and support of PNGIMR's vector-borne disease research program. We thank all PNGIMR field, laboratory and administrative staff who contributed for their efforts on the study, across community engagement, data collection, cleaning and analysis, sample collection, processing, light microscopy and molecular analysis. We also thank Tim Freeman from Rotarians Against Malaria PNG for providing details of the timing of LLIN distributions in PNG. This work was funded by WHO/Tropical Disease Research Program grant (WCCPRD4426109 2016/639607), NIH NIAID International Centres of Excellence in Malaria Research South West Pacific (U19 AI089686) and Asia Pacific (U19 AI129392-01) and NHMRC Australian Centre of Research Excellence for Malaria Elimination (ACREME GNT1134989). D.G. is supported by an Australian Government Research Training Program (RTP) Scholarship. M.K. is the recipient of a Wellcome Trust International Masters Fellowship. I.M. (GNT11155075), S.K. (GNT1141441) and L.J.R. (GNT1161627) are supported by NHMRC Fellowships.