IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v317y2015icp41-49.html
   My bibliography  Save this article

Modeling the dynamics of mosquito breeding sites vs rainfall in Barkedji area, Senegal

Author

Listed:
  • Bicout, Dominique J.
  • Vautrin, Mathias
  • Vignolles, Cecile
  • Sabatier, Philippe

Abstract

Mosquito-borne diseases like Rift Valley Fever and Malaria that cause serious health threat to human and livestock populations are known to correlate with the tremendous increase of associated mosquito vectors following periods of widespread and heavy rainfall. In the Barkedji area, Senegal, rainfall occur only during the July–October wet season, and mosquito breeding sites are provided by relatively small temporary ponds, which account for the vast majority of the water surfaces during the rainy season. Given that rain fed ponds play a key role in the epidemiology of the mosquito-borne diseases, we have developed an approach allowing to model the flooding/drying dynamics of rain fed ponds in the Barkedji area by combining the detection of ponds using optical remote sensing techniques, field data on a small set of monitored ponds and modeling of both the pond profile, shapes and the flooding/drying dynamics at the single-pond level for each pond in the entire region.

Suggested Citation

  • Bicout, Dominique J. & Vautrin, Mathias & Vignolles, Cecile & Sabatier, Philippe, 2015. "Modeling the dynamics of mosquito breeding sites vs rainfall in Barkedji area, Senegal," Ecological Modelling, Elsevier, vol. 317(C), pages 41-49.
  • Handle: RePEc:eee:ecomod:v:317:y:2015:i:c:p:41-49
    DOI: 10.1016/j.ecolmodel.2015.08.027
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380015004147
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ecolmodel.2015.08.027?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. M. C. Thomson & F. J. Doblas-Reyes & S. J. Mason & R. Hagedorn & S. J. Connor & T. Phindela & A. P. Morse & T. N. Palmer, 2006. "Malaria early warnings based on seasonal climate forecasts from multi-model ensembles," Nature, Nature, vol. 439(7076), pages 576-579, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ngwa, Gideon A. & Teboh-Ewungkem, Miranda I. & Njongwe, James A., 2023. "Continuous-time predator-prey-like systems used to investigate the question: Can human consciousness help eliminate temporary mosquito breeding sites from around human habitats?," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 206(C), pages 437-469.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. LonÄ arić, Željka & K. Hackenberger, Branimir, 2013. "Stage and age structured Aedes vexans and Culex pipiens (Diptera: Culicidae) climate-dependent matrix population model," Theoretical Population Biology, Elsevier, vol. 83(C), pages 82-94.
    2. Paulina Phoobane & Muthoni Masinde & Tafadzwanashe Mabhaudhi, 2022. "Predicting Infectious Diseases: A Bibliometric Review on Africa," IJERPH, MDPI, vol. 19(3), pages 1-20, February.
    3. Mohd Danish Khan & Hong Ha Thi Vu & Quang Tuan Lai & Ji Whan Ahn, 2019. "Aggravation of Human Diseases and Climate Change Nexus," IJERPH, MDPI, vol. 16(15), pages 1-26, August.
    4. J.M. Milani, 2013. "Ecological conditions affecting mycotoxin production in cereals: a review," Veterinární medicína, Czech Academy of Agricultural Sciences, vol. 58(8), pages 405-411.
    5. Turvey, Calum G. & Chantarat, Sommarat, 2006. "Weather-Linked Bonds," 2006 Agricultural and Rural Finance Markets in Transition, October 2-3, 2006, Washington, DC 133091, Regional Research Committee NC-1014: Agricultural and Rural Finance Markets in Transition.
    6. R. S. Sparks & T. Keighley & D. Muscatello, 2011. "Optimal exponentially weighted moving average (EWMA) plans for detecting seasonal epidemics when faced with non-homogeneous negative binomial counts," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(10), pages 2165-2181.
    7. Ting-Wu Chuang & Luis Fernando Chaves & Po-Jiang Chen, 2017. "Effects of local and regional climatic fluctuations on dengue outbreaks in southern Taiwan," PLOS ONE, Public Library of Science, vol. 12(6), pages 1-20, June.
    8. Jaewon Kwak & Huiseong Noh & Soojun Kim & Vijay P. Singh & Seung Jin Hong & Duckgil Kim & Keonhaeng Lee & Narae Kang & Hung Soo Kim, 2014. "Future Climate Data from RCP 4.5 and Occurrence of Malaria in Korea," IJERPH, MDPI, vol. 11(10), pages 1-19, October.
    9. Elorm Donkor & Matthew Kelly & Cecilia Eliason & Charles Amotoh & Darren J. Gray & Archie C. A. Clements & Kinley Wangdi, 2021. "A Bayesian Spatio-Temporal Analysis of Malaria in the Greater Accra Region of Ghana from 2015 to 2019," IJERPH, MDPI, vol. 18(11), pages 1-15, June.
    10. Musemwa, L. & Muchenje, V. & Mushunje, A. & Zhou, L., 2012. "The Impact of Climate Change on Livestock Production amongst the Resource-Poor Farmers of Third World Countries: A Review," Asian Journal of Agriculture and Rural Development, Asian Economic and Social Society (AESS), vol. 2(04), pages 1-12, December.
    11. Früh, Linus & Kampen, Helge & Kerkow, Antje & Schaub, Günter A. & Walther, Doreen & Wieland, Ralf, 2018. "Modelling the potential distribution of an invasive mosquito species: comparative evaluation of four machine learning methods and their combinations," Ecological Modelling, Elsevier, vol. 388(C), pages 136-144.
    12. Sietz, Diana & Boschutz, Maria & Klein, Richard JT & Lotsch, Alexander, 2008. "Mainstreaming climate adaptation into development assistance in Mozambique: Institutional barriers and opportunities," Policy Research Working Paper Series 4711, The World Bank.
    13. Lindsey Jones & Clara Champalle & Sabrina Chesterman & Laura Cramer & Todd A. Crane, 2017. "Constraining and enabling factors to using long-term climate information in decision-making," Climate Policy, Taylor & Francis Journals, vol. 17(5), pages 551-572, July.
    14. Intergovernmental Authority on Development (IGAD) and the Climate Prediction and Applications Centre (ICPAC), 2007. "Climate Change and Human Development in Africa: Assessing the Risks and Vulnerability of Climate Change in Kenya, Malawi and Ethiopia," Human Development Occasional Papers (1992-2007) HDOCPA-2007-08, Human Development Report Office (HDRO), United Nations Development Programme (UNDP).
    15. Xavier Rodó & Mercedes Pascual & Francisco Doblas-Reyes & Alexander Gershunov & Dáithí Stone & Filippo Giorgi & Peter Hudson & James Kinter & Miquel-Àngel Rodríguez-Arias & Nils Stenseth & David Alons, 2013. "Climate change and infectious diseases: Can we meet the needs for better prediction?," Climatic Change, Springer, vol. 118(3), pages 625-640, June.
    16. Walter Vergara & Alejandro Deeb & Irene Leino & Akio Kitoh & Marisa Escobar, 2011. "Assessment of the Impacts of Climate Change on Mountain Hydrology : Development of a Methodology through a Case Study in the Andes of Peru," World Bank Publications - Books, The World Bank Group, number 2278, December.
    17. Marcia Castro, 2007. "Spatial Demography: An Opportunity to Improve Policy Making at Diverse Decision Levels," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 26(5), pages 477-509, December.
    18. Cyril Caminade & Jacques A. Ndione & Mawlouth Diallo & Dave A. MacLeod & Ousmane Faye & Yamar Ba & Ibrahima Dia & Andrew P. Morse, 2014. "Rift Valley Fever Outbreaks in Mauritania and Related Environmental Conditions," IJERPH, MDPI, vol. 11(1), pages 1-16, January.
    19. Tom Lindström & Michael Tildesley & Colleen Webb, 2015. "A Bayesian Ensemble Approach for Epidemiological Projections," PLOS Computational Biology, Public Library of Science, vol. 11(4), pages 1-30, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecomod:v:317:y:2015:i:c:p:41-49. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/ecological-modelling .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.