ArticlePublic health in practice (Oxford, England)2022
A case-control study to determine the risk factors of dengue fever in Chattogram, Bangladesh.
Article in Public health in practice (Oxford, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.
- Epidemiological Characteristics of Dengue Infection in Bangladesh: A Systematic Review.International journal of environmental research and public health · 2026Pooled it
- Study of the circulation of dengue, yellow fever, and West Nile viruses in Guinea: implications for achieving the health objectives of the Simandou 2040 program.Tropical medicine and health · 2026Article
- Article
- Case-control study determining risk factors for dengue fever among patients attending selected hospitals in Mogadishu, Somalia.BMC infectious diseases · 2026Article
- Risk factors analysis of febrile diseases in LMICs: a case of southern Nigeria.BMC infectious diseases · 2026Article
- Dengue Investigation Research in Bangladesh: Insights From a Scoping Review.Health science reports · 2025Review
- Article
- Impact of environmental factors on the spread of dengue fever in Sri Lanka.International journal of environmental science and technology : IJEST · 2022Article
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objectives: In a tropical country like Bangladesh, where the climatic condition favors the growth of Study design: A case-control study including 150 cases and 150 controls was conducted in Chattogram district of Bangladesh. Cases were confirmed dengue patients admitted in Chattogram medical college hospital and Bangladesh institute of tropical and infectious diseases during August and September 2019. On the other hand, controls were non-dengue patients admitted in other departments of the same hospitals through gender, age, and location matching. Methods: The questionnaire data were collected through telephone-based interviews, which included general demography, daily life activities, housing and surrounding environment of participants. Chi-square and binary logistic regression were performed to identify potential risk factors. Results: The study found that travel history to the high incidence area, staying most of the daytime in office (AOR = 18.10), living in 21-40 years old houses (AOR = 9.74), and the temporary residency in the city (AOR = 10.20) were statistically significant risk factors for getting dengue infection. However, day time sleep, house type and structure, number of family members, morning and evening walk, plant in resident, and junk yard around 250 m of the house were also showed a significant effect in chi square test. Conclusions: Results strengthen our understanding regarding the role of factors associated with daily lifestyle and living environment of people in the development of dengue and hence support the dengue control program in Bangladesh. The study will provide a basis for future extended research covering different parts of the country.
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