Monthly Entomological Inoculation Rate Data for Studying the Seasonality of Malaria Transmission in Africa

Edmund I. Yamba; Adrian M. Tompkins; Andreas H. Fink; Volker Ermert; Mbouna D. Amelie; Leonard K. Amekudzi; Olivier J. T. Briët

doi:10.3390/data5020031

Data (Mar 2020)

Monthly Entomological Inoculation Rate Data for Studying the Seasonality of Malaria Transmission in Africa

Edmund I. Yamba,
Adrian M. Tompkins,
Andreas H. Fink,
Volker Ermert,
Mbouna D. Amelie,
Leonard K. Amekudzi,
Olivier J. T. Briët

Affiliations

Edmund I. Yamba: Department of Physics, Kwame Nkrumah University of Science and Technology (KNUST), 039-5028 Kumasi, Ghana
Adrian M. Tompkins: International Centre for Theoretical Physics, Earth System Physics, 34100 Trieste, Italy
Andreas H. Fink: Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology, 76021 Karlsruhe, Germany
Volker Ermert: Institute of Geophysics and Meteorology, University of Cologne, 50670 Cologne, Germany
Mbouna D. Amelie: Laboratory for Environmental Modelling and Atmospheric Physics (LEMAP), Department of Physics, Faculty of Science, University of Yaounde I, P.O. Box 812 Yaounde, Cameroon
Leonard K. Amekudzi: Department of Physics, Kwame Nkrumah University of Science and Technology (KNUST), 039-5028 Kumasi, Ghana
Olivier J. T. Briët: Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Socinstrasse 57, P.O. Box, CH-4002 Basel, Switzerland

DOI: https://doi.org/10.3390/data5020031
Journal volume & issue: Vol. 5, no. 2
p. 31

Abstract

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A comprehensive literature review was conducted to create a new database of 197 field surveys of monthly malaria Entomological Inoculation Rates (EIR), a metric of malaria transmission intensity. All field studies provide data at a monthly temporal resolution and have a duration of at least one year in order to study the seasonality of the disease. For inclusion, data collection methodologies adhered to a specific standard and the location and timing of the measurements were documented. Auxiliary information on the population and hydrological setting were also included. The database includes measurements that cover West and Central Africa and the period from 1945 to 2011, and hence facilitates analysis of interannual transmission variability over broad regions.

Published in Data

ISSN: 2306-5729 (Online)
Publisher: MDPI AG
Country of publisher: Switzerland
LCC subjects: Bibliography. Library science. Information resources
Website: http://www.mdpi.com/journal/data

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