ArticlePathogens (Basel, Switzerland)2024
Modeling the Role of Weather and Pilgrimage Variables on Dengue Fever Incidence in Saudi Arabia.
Article in Pathogens (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Epidemiological characterisation of dengue fever across Saudi Arabia.Transactions of the Royal Society of Tropical Medicine and Hygiene · 2026Article
- Advances in mosquito-borne disease surveillance using machine learning.New microbes and new infections · 2026Article
- Spatiotemporal patterns and forecasted trends of dengue in Saudi Arabia: a national surveillance study, 2012-2024.BMC infectious diseases · 2026Article
- Characterising secondary dengue infections in Saudi Arabia using combined IgG and PCR testing.Transactions of the Royal Society of Tropical Medicine and Hygiene · 2026Article
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Authors and funding
3 authors.
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Abstract
The first case of dengue fever (DF) in Saudi Arabia appeared in 1993 but by 2022, DF incidence was 11 per 100,000 people. Climatologic and population factors, such as the annual Hajj, likely contribute to DF's epidemiology in Saudi Arabia. In this study, we assess the impact of these variables on the DF burden of disease in Saudi Arabia and we attempt to create robust DF predictive models. Using 10 years of DF, weather, and pilgrimage data, we conducted a bivariate analysis investigating the role of weather and pilgrimage variables on DF incidence. We also compared the abilities of three different predictive models. Amongst weather variables, temperature and humidity had the strongest associations with DF incidence, while rainfall showed little to no significant relationship. Pilgrimage variables did not have strong associations with DF incidence. The random forest model had the highest predictive ability (R
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