Combining Hydrology and Mosquito Population Models to Identify the Drivers of Rift Valley Fever Emergence in Semi-Arid Regions of West Africa
PLoS Neglected Tropical Diseases·
- DOI
- 10.1371/journal.pntd.0001795
- PMID
- 22928055
- PMCID
- PMC3424242
- OpenAlex
- W2069231303
- Study type
- Journal article
- Publisher
- Public Library of Science (PLoS)
- Article type
- journal-article
- Integrity
- current
Why this research matters now
The study provides contextual evidence that rainfall, temporary pond behavior, and the joint dynamics of two mosquito species may be relevant to understanding Rift Valley fever emergence in semi-arid West African settings.
Structured evidence summary
Research question
The study examined how rainfall-driven temporary pond dynamics may influence Aedes vexans and Culex poicilipes abundance and how modeled abundance patterns corresponded with major Rift Valley fever outbreak years in semi-arid Senegal.
Study design
Researchers linked a rainfall-fed hydrological model with a mechanistic mosquito population model, validated the framework using field hydrology and entomology data, and simulated mosquito abundance for 1961–2003. Modeled abundance was then compared with years of major outbreaks.
Population and setting
The setting was an agropastoral area of Senegal's Ferlo Valley, where temporary ponds provide mosquito breeding habitat. The modeled vectors were Aedes vexans and Culex poicilipes.
Main findings
Major Rift Valley fever outbreaks occurred in years when the model predicted high abundance of both mosquito species at the same time. The authors interpreted the species as having complementary roles in transmission and called for further identification of rainfall patterns associated with viral amplification.
Public-health relevance
The study provides contextual evidence that rainfall, temporary pond behavior, and the joint dynamics of two mosquito species may be relevant to understanding Rift Valley fever emergence in semi-arid West African settings.
Important limitations
The findings rely on modeled mosquito abundance rather than direct measurement of transmission across the full 43-year period and concern one agropastoral region in Senegal. This summary is also limited to the supplied abstract and metadata; the full paper is needed for decision-grade assessment of assumptions, validation, uncertainty, and generalizability.
GIDS interpretation
The article is discoverable as peer-reviewed literature on Rift Valley fever in Senegal, particularly under climate and environment, outbreak investigation, and transmission dynamics. It offers historical and mechanistic context only and does not establish or validate any current surveillance signal.
Related GIDS surveillance
Literature context does not validate, explain, or change a surveillance signal. Exact and contextual relationships are shown separately.
Evidence relationships
This article has 7 auditable classifier relationships to diseases, places, topics, and study design.