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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/12041

Title: A breeding site model for regional, dynamical malaria simulations evaluated using in situ temporary ponds observations
Authors: Amekudzi, L. K.
Tompkins, Adrian M.
Asare, Ernest O.
Ermert, Volker
Keywords: Pond water area
Pond water depth
Area-depth relation
Water fraction
Issue Date: Feb-2016
Publisher: Geospatial Health
Citation: Geospatial Health, 2016; volume 11(s1):391
Abstract: Daily observations of potential mosquito developmental habitats in a suburb of Kumasi in central Ghana reveal a strong variability in their water persistence times, which ranged between 11 and 81 days. The persistence of the ponds was strongly tied with rainfall, location and size of the puddles. A simple power-law relationship is found to fit the relationship between the average pond depth and area well. A prognostic water balance model is derived that describes the temporal evolution of the pond area and depth, incorporating the power-law geometrical relation. Pond area increases in response to rainfall, while evaporation and infiltration act as sink terms. Based on a range of evaluation metrics, the prognostic model is judged to provide a good representation of the pond coverage evolution at most sites. Finally, we demonstrate that the prognostic equation can be generalised and equally applied to a grid-cell to derive a fractional pond coverage, and thus can be implemented in spatially distributed models for relevant vector-borne diseases such as malaria.
Description: This article is published in Geospatial Health and available at KNUST
URI: doi:10.4081/gh.2016.390
Appears in Collections:College of Science

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