Predicted Impact of Vaccination and Active Case Finding Measures to Control Epidemic of Coronavirus Disease 2019 in a Migrant-Populated Area in Thailand

• Published in: Risk management and healthcare policy 2021-01, Vol.14, p.3197-3207
• Main Authors: Suphanchaimat, Rapeepong, Nittayasoot, Natthaprang, Thammawijaya, Panithee, Teekasap, Pard, Ungchusak, Kumnuan
• Format: Article
• Language: English
• Subjects: active case finding; Analysis; China; Control; Coronaviruses; COVID-19; COVID-19 diagnostic tests; COVID-19 vaccines; Development and progression; Disease control; Disease transmission; Epidemics; Epidemiology; Immunization; Migrant workers; Original Research; Population number; Public health; reproduction number; Secondary analysis; Sensitivity analysis; Severe acute respiratory syndrome coronavirus 2; Social distancing; Thailand; Vaccination; vaccine
• ISSN: 1179-1594; 1179-1594
• DOI: 10.2147/RMHP.S318012

Background: Thailand experienced the first wave of Coronavirus Disease 2019 (COVID-19) during March--May 2020 and has been facing the second wave since December 2020. The area facing the greatest impact was Samut Sakhon, a main migrant-receiving province in the country. The Department of Disease Control (DDC) of the Thai Ministry of Public Health (MOPH) considered initiating a vaccination strategy in combination with active case finding (ACF) in the epidemic area. The DDC commissioned a research team to predict the impact of various vaccination and ACF policy scenarios in terms of case reduction and deaths averted, which is the objective of this study. Methods: The design of this study was a secondary analysis of quantitative data. Most of the data were obtained from the DDC, MOPH. Deterministic system dynamics and compartmental models were exercised. A basic reproductive number ([R.sub.0]) was estimated at 3 from the beginning. Vaccine efficacy against disease transmission was assumed to be 50%. A total of 10,000 people were estimated as an initial population size. Results: The findings showed that the greater the vaccination coverage, the smaller the size of incident and cumulative cases. Compared with a no-vaccination and no-ACF scenario, the 90%-vaccination coverage combined with 90%-ACF coverage contributed to a reduction of cumulative cases by 33%. The case reduction benefit would be greater when [R.sub.0] was smaller (~53% and ~51% when [R.sub.0] equated 2 and 1.5, respectively). Conclusion: This study reaffrmed the idea that a combination of vaccination and ACF measures contributed to favourable results in reducing the number of COVID-19 cases and deaths, relative to the implementation of only a single measure. The greater the vaccination and ACF coverage, the greater the volume of cases saved. Though we demonstrated the benefit of vaccination strategies in this setting, actual implementation should consider many more policy angles, such as social acceptability, cost-effectiveness and operational feasibility. Further studies that address these topics based on empirical evidence are of great value. Keywords: COVID-19, vaccine, active case finding, reproduction number, Thailand