Evidence map›Paper›PMID 25102949›Full record

ArticleMalaria journal2014

Malaria-related knowledge and prevention practices in four neighbourhoods in and around Mumbai, India: a cross-sectional study.

Gaurav Dhawan, Nidhin Joseph, Penelope S Pekow, Christine A Rogers, Krishna C Poudel, Maria T Bulzacchelli

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Article in Malaria journal, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

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17citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Gaurav Dhawan
Nidhin Joseph
Penelope S Pekow
Christine A Rogers
Krishna C Poudel
Maria T BulzacchelliDepartment of Public Health, School of Public Health and Health Sciences, University of Massachusetts-Amherst, 715 N, Pleasant St, 01003 Amherst, MA, USA. bulzacchelli@schoolph.umass.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIndia accounts for the highest number of malaria cases outside of Africa. Eighty per cent of India's population lives in malaria-risk areas, with cases increasing in urban areas. Mumbai, India, one of the most populous cities in the world, has experienced such an increase. To be successful, many malaria control efforts require community participation, which in turn depends on individuals' knowledge and awareness of the disease. This study assessed the knowledge and prevention practices regarding malaria in residents of four different areas of Mumbai, India, around the time of a malaria outbreak and the start of a widespread awareness campaign.

methodsA cross-sectional comparative study assessed malaria-related knowledge and prevention practices in four geographically and socio-demographically distinct areas of Mumbai, India. A structured interviewer-administered questionnaire was administered to a stratified random sample of 119 households between 16 December 2010 and 30 January 2011. Participant socio-demographic characteristics, malaria knowledge, malaria prevention practices, and household environmental factors were examined overall and compared across the four areas of Mumbai.

resultsOverall, respondents had excellent knowledge of the mosquito as the means of transmission of malaria, mosquito biting times and breeding sites, and fever as a symptom of malaria. However, many respondents also held misconceptions about malaria transmission and symptoms. Respondents generally knew that bed nets are an effective prevention strategy, but only 30% used them, and only 4% used insecticide-treated bed nets. Knowledge and prevention practices varied across the four areas of Mumbai.

conclusionsAlthough most residents know that bed nets are effective in preventing malaria, usage of bed nets is very low, and almost no residents use insecticide-treated bed nets. As the four areas of Mumbai differed in knowledge, prevention practices, and primary sources of information, malaria control campaigns should be tailored according to the knowledge gaps, practices, environments, resources, and preferences in different areas of the city, using the interpersonal and media channels most likely to reach the target audiences. Malaria control efforts involving bed nets should emphasize use of insecticide-treated bed nets.

Indexed as

Health Knowledge, Attitudes, PracticeAdultAnimalsCross-Sectional StudiesFemaleHumansIndiaInsecticide-Treated BednetsMalariaMaleMiddle AgedMosquito ControlSurveys and QuestionnairesYoung Adult

Identifiers

PMID25102949
PMCPMC4248467

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.