TRACING OF COVID-19 TRANSMISSION BASED ON CLOSE CONTACT POPULATION: CASES IN SOUTH SUMATRA [similarity]

Sitorus, Rico Januar and Wibisono, Hariadi and Ridwan, Hibsah and Nyoman, Yudi Antara and Panjaitan, Merry Natalia and Sangalang, Reymart V. (2023) TRACING OF COVID-19 TRANSMISSION BASED ON CLOSE CONTACT POPULATION: CASES IN SOUTH SUMATRA [similarity]. Universitas Airlangga..

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Abstract

Background: COVID-19 causes a high death toll, illness, and economic losses. Transmission of the virus occurs from human to human and has spread to more than 200 countries. This research aims to determine the relationship between close contact and the COVID-19 incident in South Sumatra, Indonesia. Methods: This research used an observational analysis with a cross-sectional design. The population in this study were all COVID- 19 patients and those who had close contact with COVID-19 patients in South Sumatra. The data were analyzed using univariate, bivariate, and multivariate tests. The bivariate analysis uses the chi-square test, while the multivariate analysis uses the logistic regression test. Results: The results show that close contact was related to the incidence of COVID-19 with a P value of 0.00 and an odds ratio adjusted (ORAdj) of 3.59 (95% CI: 2.93– 4.39) after the variables of record of visiting local transmission areas, the record of visiting health facilities, the record of contact with suspected cases, and record of contact with confirmed cases were controlled. Conclusion: The transmission of close contact within families, such as households, was very high. A transmission could occur between a husband and wife and people who lived in the same house and shared plates while eating. To prevent a broader transmission, people who had close contact with COVID- 19 needed to be quarantined. Based on these results, we could carry out public health interventions globally to fight against the pandemic.

Item Type: Other
Subjects: #3 Repository of Lecturer Academic Credit Systems (TPAK) > Results of Ithenticate Plagiarism and Similarity Checker
Divisions: 10-Faculty of Public Health > 13201-Public Health (S1)
Depositing User: Dr Rico Januar
Date Deposited: 06 Apr 2023 12:59
Last Modified: 06 Apr 2023 12:59
URI: http://repository.unsri.ac.id/id/eprint/94079

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