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Identifying Plasmodium falciparum transmission patterns through parasite prevalence and entomological inoculation rate

View ORCID ProfileBenjamin Amoah, Robert S. McCann, Alinune N. Kabaghe, Monicah Mburu, Michael G. Chipeta, Paula Moraga, Steven Gowelo, Tinashe Tizifa, Henk van den Berg, Themba Mzilahowa, Willem Takken, Michéle van Vugt, Kamija S. Phiri, Peter J. Diggle, Dianne J. Terlouw, View ORCID ProfileEmanuele Giorgi
doi: https://doi.org/10.1101/2021.01.14.426709
Benjamin Amoah
1Centre for Health Informatics, Computing, and Statistics (CHICAS), Lancaster Medical School, Lancaster University, Lancaster, United Kingdom
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  • For correspondence: [email protected]
Robert S. McCann
2Laboratory of Entomology, Wageningen University and Research, Wageningen, The Netherlands
3Department of Public Health, College of Medicine, University of Malawi, Blantyre, Malawi
4Center for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore, MD, USA
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Alinune N. Kabaghe
3Department of Public Health, College of Medicine, University of Malawi, Blantyre, Malawi
5Academic Medical Centre, University of Amsterdam, Amsterdam, The Netherlands
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Monicah Mburu
2Laboratory of Entomology, Wageningen University and Research, Wageningen, The Netherlands
3Department of Public Health, College of Medicine, University of Malawi, Blantyre, Malawi
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Michael G. Chipeta
3Department of Public Health, College of Medicine, University of Malawi, Blantyre, Malawi
7Malawi-Liverpool Wellcome Trust Research Programme, Blantyre, Malawi
8Big Data Institute, University of Oxford, Oxford, United Kingdom
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Paula Moraga
1Centre for Health Informatics, Computing, and Statistics (CHICAS), Lancaster Medical School, Lancaster University, Lancaster, United Kingdom
9King Abdullah University of Science and Technology, University in Thuwal, Thuwal, Saudi Arabia
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Steven Gowelo
2Laboratory of Entomology, Wageningen University and Research, Wageningen, The Netherlands
3Department of Public Health, College of Medicine, University of Malawi, Blantyre, Malawi
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Tinashe Tizifa
3Department of Public Health, College of Medicine, University of Malawi, Blantyre, Malawi
5Academic Medical Centre, University of Amsterdam, Amsterdam, The Netherlands
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Henk van den Berg
2Laboratory of Entomology, Wageningen University and Research, Wageningen, The Netherlands
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Themba Mzilahowa
3Department of Public Health, College of Medicine, University of Malawi, Blantyre, Malawi
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Willem Takken
2Laboratory of Entomology, Wageningen University and Research, Wageningen, The Netherlands
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Michéle van Vugt
5Academic Medical Centre, University of Amsterdam, Amsterdam, The Netherlands
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Kamija S. Phiri
3Department of Public Health, College of Medicine, University of Malawi, Blantyre, Malawi
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Peter J. Diggle
1Centre for Health Informatics, Computing, and Statistics (CHICAS), Lancaster Medical School, Lancaster University, Lancaster, United Kingdom
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Dianne J. Terlouw
3Department of Public Health, College of Medicine, University of Malawi, Blantyre, Malawi
6Liverpool School of Tropical Medicine, Liverpool, United Kingdom
7Malawi-Liverpool Wellcome Trust Research Programme, Blantyre, Malawi
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Emanuele Giorgi
1Centre for Health Informatics, Computing, and Statistics (CHICAS), Lancaster Medical School, Lancaster University, Lancaster, United Kingdom
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  • ORCID record for Emanuele Giorgi
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Abstract

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). 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.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
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Posted January 16, 2021.
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Identifying Plasmodium falciparum transmission patterns through parasite prevalence and entomological inoculation rate
Benjamin Amoah, Robert S. McCann, Alinune N. Kabaghe, Monicah Mburu, Michael G. Chipeta, Paula Moraga, Steven Gowelo, Tinashe Tizifa, Henk van den Berg, Themba Mzilahowa, Willem Takken, Michéle van Vugt, Kamija S. Phiri, Peter J. Diggle, Dianne J. Terlouw, Emanuele Giorgi
bioRxiv 2021.01.14.426709; doi: https://doi.org/10.1101/2021.01.14.426709
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Identifying Plasmodium falciparum transmission patterns through parasite prevalence and entomological inoculation rate
Benjamin Amoah, Robert S. McCann, Alinune N. Kabaghe, Monicah Mburu, Michael G. Chipeta, Paula Moraga, Steven Gowelo, Tinashe Tizifa, Henk van den Berg, Themba Mzilahowa, Willem Takken, Michéle van Vugt, Kamija S. Phiri, Peter J. Diggle, Dianne J. Terlouw, Emanuele Giorgi
bioRxiv 2021.01.14.426709; doi: https://doi.org/10.1101/2021.01.14.426709

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