Climate-driven models reveal temporal trends in Aedes breeding: implications for outbreak preparedness and control interventions
Our models demonstrated predictive potential for estimating vector populations and risk of disease outbreaks, which could help in emergency preparedness and the deployment of control measures. Additionally, these models offer a tool for anticipating shifts in vector distribution under changing climate conditions, providing valuable insights for improving disease prevention strategies.
Authors
- Sellase Pi-Bansa
- Esinam Abla Akorli (ORCID: https://orcid.org/0000-0002-6916-6338)
- Mufeez Abudu
- Samuel Dadzie (ORCID: https://orcid.org/0000-0002-4105-1010)
- Godwin Amlalo (ORCID: https://orcid.org/0000-0003-1280-4770)
- Helena Anokyewaa Boakye
- Millicent Opoku (ORCID: https://orcid.org/0000-0003-0074-1661)
- Jewelna Akorli (ORCID: https://orcid.org/0000-0002-3972-0860)
- Joseph Harold Nyarko Osei (ORCID: https://orcid.org/0000-0001-8143-5548)
- Nukunu Etornam Akyea-Bobi
- Samuel Sowah Akporh
- Kwadwo K. Frempong (ORCID: https://orcid.org/0000-0002-1747-5286)
- Reuben Mwimson Pul
- Derrick B. Sackitey
- Stephen K. D. Oware
Institutions
- University of Ghana (GH)
- La Trobe University (AU)
- Noguchi Memorial Institute for Medical Research (GH)
- Council for Scientific and Industrial Research (GH)
Publication Details
- Journal
- BMC Public Health
- Published
- 2025-08-12
- DOI
- https://doi.org/10.1186/s12889-025-24060-w
- Citations
- 2
- Primary Topic
- Mosquito-borne diseases and control
- Type
- article
- Field-Weighted Citation Impact
- 3.76
Funders
- Carnegie Corporation of New York