A breeding site model for regional, dynamical malaria simulations evaluated using in situ temporary ponds observations
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Date
2016
Journal Title
Journal ISSN
Volume Title
Publisher
Geospatial Health
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
An article published by Geospatial Health 2016; volume 11(s1):390
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Citation
Geospatial Health 2016; volume 11(s1):390