The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A breeding site model for regional, dynamical malaria simulations evaluated using in situ temporary ponds observations
Open accessAbstract
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.
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Most attempts to represent surface hydrology in malaria transmission modeling resort to a simple conceptual water balance model to determine the availability of water for larval habitats.
“Most resort to a simple conceptual water balance model to determine the availability of water for larval habitats (Asare, Tompkins, Amekudzi, & Ermert, 2016; Montosi et al., 2012; Parham et al., 2012; Patz et al., 1998), while only a few have proposed more sophisticated hydrologic models that further consider canopy processes and subsurface flows (Bomblies et al., 2008; Le et al., 2018).”
From Investigating the Impact of Irrigation on Malaria Vector Larval Habitats and Transmission Using a Hydrology‐Based Model (2023) · cites this paper as Asare, Tompkins, Amekudzi, & Ermert, 2016
The Discussion describes the paper’s own water-balance model for predicting pond coverage, so it supports citing this study as an example of that approach. But the Introduction says most dynamical malaria models have no representation of surface hydrology, rather than saying most use a simple water-balance model. (LLM, conf=0.86)
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Citations
Cites
Productivity of Malaria Vectors from Different Habitat Types in the Western Kenya Highlands
Ndenga, B. A., Simbauni, J. A., Mbugi, J. P., Githeko, A. K., & Fillinger, U. (2011) · PLoS ONE · doi:10.1371/journal.pone.0019473 · Cited by 107
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Research works printed but not linked: 1
- Hayashi M, Van der Kamp G, 2007. Water level changes in ponds and lakes: the hydrological processes. In: Johnson EA, Miyanishi K, eds. Plant disturbance ecology: the process and the response. Elsevier Academic Press, Amsterdam, The Netherlands, pp 311-39.
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Rainfall Trends and Malaria Occurrences in Limpopo Province, South Africa
Adeola, A., Ncongwane, K., Abiodun, G., Makgoale, T., Rautenbach, H., Botai, J., Adisa, O., & Botai, C. (2019) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph16245156 · Cited by 54
Assessing Climate Driven Malaria Variability in Ghana Using a Regional Scale Dynamical Model
Asare, E., & Amekudzi, L. (2017) · Climate · doi:10.3390/cli5010020 · Cited by 35
Self-citationJiang, A., Lee, M., Selvaraj, P., Degefa, T., Getachew, H., Merga, H., Yewhalaw, D., Yan, G., & Hsu, K. (2023) · GeoHealth · doi:10.1029/2023gh000868 · Cited by 3
Metadata
- Authors
- Asare, E. O., Tompkins, A. M., Amekudzi, L. K., & Ermert, V.
- Affiliations
- The Abdus Salam International Centre for Theoretical Physics (ICTP) (IT)
- Kwame Nkrumah University of Science and Technology (GH)
- University of Cologne (DE)
- Venue
- Geospatial Health
- Publisher
- PAGEPress Publications
- Published
- 2016-03-31
- Volume
- 11
- Issue
- 1s
- Pages
- 390-390
- ISSN
- 1827-1987 (ISSN-L)
- 1970-7096
- OpenAlex
- W2319114615
- Cited by
- 23
- References
- 1
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 3 · 2023: 3 · 2022: 2 · 2019: 4 · 2018: 2 · 2017: 1 · 2016: 4
- FWCI
- 3.64
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Geospatial health (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- Kölner Universitäts PublikationsServer (Universität zu Köln) (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- INFM-OAR (INFN Catania) (submittedVersion, cc-by-nc)
- Funders
- European Commission (243964, 266327)
- Abdus Salam International Centre for Theoretical Physics
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Malaria Research and Control
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Mosquito-borne diseases and control
- Physical Sciences › Environmental Science › Water Science and Technology › Hydrology and Watershed Management Studies
- Keywords
- mosquito breeding sites, temporary ponds, water balance model, rainfall, Kumasi
- MeSH terms
- Animals, Ghana, Malaria, Models, Theoretical, Culicidae, Rain, Time Factors, Ecosystem, Ponds
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