Predicting mosquito-borne disease outbreaks using poisson and negative binomial models: A comparative study
Incorporating delayed climatic and entomological factors using a Negative Binomial hierarchical framework significantly enhanced dengue outbreak prediction in Oman. The findings support the integration of lagged predictors and hierarchical modeling into early warning systems for mosquito-borne diseases, facilitating timely public health interventions and improved outbreak preparedness.
Authors
- Mohammed H Al-Azri (ORCID: https://orcid.org/0000-0002-6136-4081)
- Adil Al Wahaibi (ORCID: https://orcid.org/0000-0002-5052-0800)
- Moon Fai Chan (ORCID: https://orcid.org/0000-0002-2899-3118)
- Abdullah Al-Manji
Institutions
- Ministry of Health (UA)
- Sultan Qaboos University (OM)
Publication Details
- Journal
- Journal of Infection and Public Health
- Published
- 2025-07-18
- DOI
- https://doi.org/10.1016/j.jiph.2025.102906
- Citations
- 7
- Primary Topic
- Mosquito-borne diseases and control
- Type
- article
- Field-Weighted Citation Impact
- 13.15
Funders
- Ministry of Health