Evidence map›Paper›PMID 39232844›Full record

ArticleTropical medicine and health2024

A serological survey of COVID-19 among predominantly aboriginal residents of a tourist island in southern Thailand.

Supakorn Sripaew, Kameelah Yasharad, Dzerlina S Rahari, Weiyan Feng, Zhenzhu Qian, Huynh Ngoc Thanh, Pei Li, Agus Fitriangga, Satiti Palupi Purwanto, Aye Nyein Phyu and 5 more

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Article in Tropical medicine and health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

15 authors.

Supakorn SripaewDepartment of Epidemiology, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, 90110, Thailand.
Kameelah YasharadOffice of Disease Prevention and Control Region 12, Songkhla, Thailand.
Dzerlina S RahariDepartment of Epidemiology, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, 90110, Thailand.
Weiyan FengDepartment of Epidemiology, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, 90110, Thailand.
Zhenzhu QianDepartment of Epidemiology, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, 90110, Thailand.
Huynh Ngoc ThanhDepartment of Epidemiology, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, 90110, Thailand.
Pei LiDepartment of Epidemiology, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, 90110, Thailand.
Agus FitrianggaDepartment of Epidemiology, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, 90110, Thailand.
Satiti Palupi PurwantoDepartment of Epidemiology, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, 90110, Thailand.
Aye Nyein PhyuDepartment of Epidemiology, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, 90110, Thailand.
Fangming XianyuDepartment of Epidemiology, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, 90110, Thailand.
Sombat PhadungvitvatthanaSatun Provincial Public Health Office, Satun, Thailand.
Wit WichaiditDepartment of Epidemiology, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, 90110, Thailand.
Ponlagrit KumwicharDepartment of Epidemiology, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, 90110, Thailand.
Virasakdi ChongsuvivatwongDepartment of Epidemiology, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, 90110, Thailand. cvirasak@medicine.psu.ac.th.ORCID http://orcid.org/0000-0002-9850-4463

Funding

TB/MDR-TB Research training and Capacity Strengthening for LMIC in Southeast Asia Phase II: Promotion of Diversity, Equity and Inclusion (DEI)D43TW009522 · FIC · PRINCE OF SONGKLA UNIVERSITY · PI Virasakdi Chongsuvivatwong · 2015 to 2026
$3.0M
FIC NIH HHS D43 TW009522
6 · The paper itself

Abstract

backgroundThe current survey describes the seroprevalence, history of coronavirus disease 2019 (COVID-19), and vaccination status among predominantly aboriginal residents on a tourist island in southern Thailand. This information can be translated into COVID-19 vaccination and control plans for this population.

methodsWe implemented questionnaire interviews and collected blood samples from 249 residents of Lipe Island, Satun Province, in January 2022. We measured the anti-nucleocapsid protein and anti-spike (anti-S) receptor-binding protein levels of immunoglobulin (Ig) M and IgG. The differences in antibody levels among participants with different histories of vaccination and infection were analyzed using one-way analysis of variance with multiple comparisons.

resultsDuring the 2-year pandemic period, no island residents with COVID-19 required hospitalization despite the high prevalence of hypertension (33.3%) and diabetes mellitus (21.7%). Approximately 18.8% of the participants reported a history of COVID-19 diagnosis. In total, 95.1% of the participants had a history of complete vaccination, of which 93.5% were seropositive. The anti-S IgG geometric means (geometric standard deviation) were 3945.8 (2.0), 829.8 (9.7) AU/mL, 789.9 (5.3) AU/mL, and 22.7 (7.1) AU/mL, respectively, in participants with a history of both COVID-19 diagnosis and complete vaccination (group 1), incomplete vaccination and subsequent COVID-19 diagnosis (group 2), complete vaccination but no previous infection (group 3), or neither previous COVID-19 and complete vaccination (group 4). Significant pairwise differences in anti-S IgG levels were found between certain groups (1 vs 3, 1 vs 4, 2 vs 4, and 3 vs 4).

conclusionsThe high coverage of vaccination, high levels of population antibody titers, variable antibody levels among completely vaccinated non-infected residents, and high prevalence of non-communicable diseases (NCDs) suggested that the local health systems could control the pandemic. However, continuing surveillance, booster vaccinations, and NCD prevention programs were still required.

Indexed as

Chronic diseaseCOVID-19EthnicitySeroprevalenceTourism

Identifiers

PMID39232844
PMCPMC11373474

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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.