ArticleMalaria journal2018
Socio-demographic and household attributes may not necessarily influence malaria: evidence from a cross sectional study of households in an urban slum setting of Chennai, India.
Article in Malaria journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 17 citations in OpenAlex.
- Socioeconomic and household water management determinants of malaria and other vector-borne disease prevention in Urban Gujarat, India.Malaria journal · 2026Article
- Determinants of malaria infection across different districts of Khyber Pakhtunkhwa, Pakistan: a cross-sectional study.Malaria journal · 2026Article
- Thermal dynamics of vector breeding habitats and their impact on immature survivorship of Anopheles stephensi in Chennai, India.Scientific reports · 2026Article
- Influence of Household Roof Types on the Development of Plasmodium vivax in Anopheles stephensi Mosquitoes.The American journal of tropical medicine and hygiene · 2025Article
- Examining the paradox: increased malaria risk in children under 5 in female-headed households in Nigeria.Malaria journal · 2024Article
- Risk factors of malaria transmission in mining workers in Muara Enim, South Sumatra, Indonesia.Scientific reports · 2023Article
- Article
- Knowledge, attitudes, and practices regarding malaria control among communities living in the south Cameroon forest region.IJID regions · 2022Article
- Does the roof type of a house influence the presence of adult Anopheles stephensi, urban malaria vector? - evidence from a few slum settings in Chennai, India.Parasitology research · 2022Article
- The Effect of Socioeconomic Factors and Indoor Residual Spraying on Malaria in Mangaluru, India: A Case-Control Study.International journal of environmental research and public health · 2021Article
- Socio-economic and household determinants of malaria in adults aged 45 and above: analysis of longitudinal ageing survey in India, 2017-2018.Malaria journal · 2021Article
- Entomological and Anthropological Factors Contributing to Persistent Malaria Transmission in Kenya, Ethiopia, and Cameroon.The Journal of infectious diseases · 2021Article
- Socio-economic determinants of malaria in tribal dominated Mandla district enrolled in Malaria Elimination Demonstration Project in Madhya Pradesh.Malaria journal · 2021Article
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8 authors at 1 institution in 1 country.
Funding
Abstract
backgroundHousehold and environmental factors are reported to influence the malaria endemicity of a place. Hence, a careful assessment of these factors would, potentially help in locating the possible areas under risk to plan and adopt the most suitable and appropriate malaria control strategies.
methodsA cross-sectional household survey was carried out in the study site, Besant Nagar, Chennai, through random sampling method from February 2014 to February 2015. A structured interviewer-administered questionnaire was used to assess selected variables of demography, structural particulars of a household, usage of repellents, animals on site, presence of breeding habitats and any mosquito/vector breeding in the household, malaria/vector control measures undertaken by government in each houses. The data was collected through one to one personal interview method, statistically analysed overall and compared between the households/people infected with malaria within a period of 1 year and their non-infected counterparts of the same area.
resultsPresence of malaria was found to be significantly associated with the occupation, number of inhabitants, presence of a separate kitchen, availability of overhead tanks and cisterns, immatures of vector mosquitoes, presence of mosquito breeding and type of roof structures (p < 0.05). However, age, gender, usage of repellents, animals on site, number of breeding habitats or detection of vector breeding did not significantly associate with the malaria incidence/prevalence.
conclusionsThe survey revealed various demographic, household and environmental factors likely to associate with the malaria incidence/prevalence in an urban slum of Chennai. The socio-demographic and household variables have revealed disparities in malaria infection from the present cross sectional study. The absence of significant association with many parameters indicates the probable role of other confounding factors which influence the malaria prevalence.
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