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Comprehensive evaluation of demographic, socio-economic and other associated risk factors affecting the occurrence of dengue incidence among Colombo and Kandy Districts of Sri Lanka: a cross-sectional study

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dc.contributor.author Udayanga, L. en
dc.contributor.author Gunathilaka, N.
dc.contributor.author Iqbal, M.C.M.
dc.contributor.author Lakmal, K.
dc.contributor.author Amarasinghe, U.S.
dc.contributor.author Abeyewickreme, W.
dc.date.accessioned 2019-01-02T07:02:40Z
dc.date.available 2019-01-02T07:02:40Z
dc.date.issued 2018
dc.identifier.citation Parasites & Vectors.2018;11(1):478 en_US
dc.identifier.issn 1756-3305 (Electronic)
dc.identifier.issn 1756-3305 (Linking)
dc.identifier.uri http://repository.kln.ac.lk/handle/123456789/19245
dc.description Indexed In MEDLINE en_US
dc.description.abstract BACKGROUND: Comprehensive understanding of risk factors related to socio-economic and demographic status and knowledge, attitudes and practices (KAP) of local communities play a key role in the design and implementation of community-based vector management programmes, along with the identification of gaps in existing control activities. METHODS: A total of 10 Medical Officers of Health (MOH) areas recording high dengue incidence over the last five years were selected from Colombo (n = 5) and Kandy (n = 5) Districts, Sri Lanka. From each MOH area, 200 houses reporting past dengue incidence were selected randomly as test group (n = 1000 for each district) based on the dengue case records available at relevant MOH offices. Information on socio-economic and demographic status and knowledge, attitudes and practices were gathered using an interviewer administered questionnaire. The control group contained 200 households from each MOH area that had not reported any dengue case and the same questionnaire was used for the assessment (n = 1000 for each district). Statistical comparisons between the test and control groups were carried out using the Chi-square test of independence, cluster analysis, analysis of similarities (ANOSIM) and multi-dimensional scaling (MDS) analysis. RESULTS: Significant differences among the test and control groups in terms of basic demographic and socio-economic factors, living standards, knowledge, attitude and practices, were recognized (P < 0.05 at 95% level of confidence). The test group indicated similar risk factors, while the control group also shared more or less similar characteristics as depicted by the findings of cluster analysis and ANOSIM. Findings of the present study highlight the importance of further improvement in community education, motivation and communication gaps, proper coordination and integration of control programmes with relevant entities. Key infrastructural risk factors such as urbanization and waste collection, should be further improved, while vector controlling entities should focus more on the actual conditions represented by the public on knowledge, attitudes and personal protective practices. CONCLUSIONS: The design of flexible and community friendly intervention programmes to ensure the efficacy and sustainability of controlling dengue vectors through community based integrated vector management strategies, is recommended. en_US
dc.language.iso en_US en_US
dc.publisher BioMed Central en_US
dc.subject Dengue en_US
dc.subject Dengue-epidemiology en
dc.subject Dengue-prevention & control en
dc.subject Dengue-transmission en
dc.subject Health Knowledge, Attitudes, Practice en
dc.subject Cross-Sectional Studies en
dc.subject Risk factors
dc.subject Demography en
dc.subject Socioeconomic Factors en
dc.title Comprehensive evaluation of demographic, socio-economic and other associated risk factors affecting the occurrence of dengue incidence among Colombo and Kandy Districts of Sri Lanka: a cross-sectional study en_US
dc.type Article en_US


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