ArticleInternational journal of environmental research and public health2021
Explaining Neighbourhood Variations in the Incidence of Dengue Fever in Jeddah City, Saudi Arabia.
Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Epidemiological characterisation of dengue fever across Saudi Arabia.Transactions of the Royal Society of Tropical Medicine and Hygiene · 2026Article
- Article
- Factors contributing to mosquito-borne disease: A systematic review in the Middle East and North Africa (MENA) region.Current research in parasitology & vector-borne diseases · 2025Review
- Investigating the Determinants of Dengue Outbreak in Oman: A Study in Seeb.Journal of epidemiology and global health · 2024Review
- Association Between Hydrological Conditions and Dengue Fever Incidence in Coastal Southeastern China From 2013 to 2019.JAMA network open · 2023Article
- Spatio-Temporal Modelling InformingInsects · 2022Article
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The rapid growth and development of cities is a contributing factor to the rise and persistence of dengue fever (DF) in many areas around the world. Many studies have examined how neighbourhood environmental conditions contribute to dengue fever and its spread, but have not paid enough attention to links between socio-economic conditions and other factors, including population composition, population density, the presence of migrant groups, and neighbourhood environmental conditions. This study examines DF and its distribution across 56 neighbourhoods of Jeddah City, Saudi Arabia, where the incidence of dengue remains high. Using stepwise multiple regression analysis it focuses on the key ecological correlates of DF from 2006-2009, the years of the initial outbreak. Neighbourhood variations in average case rates per 10,000 population (2006-2009) were largely predicted by the Saudi gender ratio and socio-economic status (SES), the respective beta coefficients being 0.56 and 0.32 (
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