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ORIGINAL ARTICLE
Year : 2020  |  Volume : 13  |  Issue : 7  |  Page : 314-321

Predicting factors contributing to knowledge, attitudes and practices relating to Zika virus infection among the general public in Malaysia


1 Department of Pharmacy Practice, School of Pharmacy, International Medical University, Kuala Lumpur 57000, Malaysia
2 School of Pharmacy, International Medical University, Kuala Lumpur 57000, Malaysia

Correspondence Address:
Mari Kannan Maharajan
Department of Pharmacy Practice, School of Pharmacy, International Medical University, Kuala Lumpur 57000
Malaysia
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Source of Support: The study is supported by Institute for Research Development and Innovation, International Medical University, Malaysia [BP I-01/14 (55)2017], Conflict of Interest: None


DOI: 10.4103/1995-7645.285830

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Objective: To identify the predicting factors that contribute to knowledge, attitude and practices relating to Zika virus infection among the general public in Malaysia. Methods: A cross-sectional study was conducted using a validated self-administered questionnaire. Descriptive analysis was done for participants’ socio-demographic profile. Contingency table analysis was done to analyse the associations between knowledge, attitudes, and practices (KAP) scores and socio-demographic profile. A Bonferroni-corrected P-value was used to find the significance of the associations and multiple comparisons were performed in a single data set. To determine the linear relationship between each independent variable and the dependent variable, Spearman rank correlation was performed. Cohen’s correlation coefficient was evaluated to determine the strength of the effect size. Multiple correlations and regression analyses were performed to identify independent variables that predicts the dependent variable. Results: Multiple correlation analyses were conducted between respondents’ KAP score and independent variables (Age >60 years; Female gender; Selangor state; At least 1 pregnant woman per household). The independent variables such as ‘Female gender’, ‘Selangor state’ and ‘At least 1 pregnant woman per household’ were positively and significantly correlated with KAP score whereas, age >60 years was negatively and significantly correlated with the KAP scores. Conclusions: There were associations between four independent factors and the KAP scores, while only three factors contributed to changes in KAP scores among the public. Among these contributing factors, respondents’ age group was the strongest predictor.


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