Evidence map›Paper›PMID 34682548›Full record

ArticleInternational journal of environmental research and public health2021

Prioritization of the Target Population for Coronavirus Disease 2019 (COVID-19) Vaccination Program in Thailand.

Rapeepong Suphanchaimat, Titiporn Tuangratananon, Nattadhanai Rajatanavin, Mathudara Phaiyarom, Warisara Jaruwanno, Sonvanee Uansri

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 5 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Rapeepong SuphanchaimatInternational Health Policy Program, Ministry of Public Health, Nonthaburi 11000, Thailand.
Titiporn TuangratananonInternational Health Policy Program, Ministry of Public Health, Nonthaburi 11000, Thailand.ORCID 0000-0002-3479-0886
Nattadhanai RajatanavinInternational Health Policy Program, Ministry of Public Health, Nonthaburi 11000, Thailand.ORCID 0000-0001-6505-7911
Mathudara PhaiyaromInternational Health Policy Program, Ministry of Public Health, Nonthaburi 11000, Thailand.ORCID 0000-0002-1156-1984
Warisara JaruwannoInternational Health Policy Program, Ministry of Public Health, Nonthaburi 11000, Thailand.
Sonvanee UansriInternational Health Policy Program, Ministry of Public Health, Nonthaburi 11000, Thailand.

Funding

Health Systems Research Institute 64-166
6 · The paper itself

Abstract

Thailand was hit by the second wave of Coronavirus Disease 2019 (COVID-19) in a densely migrant-populated province (Samut Sakhon). COVID-19 vaccines were known to be effective; however, the supply was limited. Therefore, this study aimed to predict the effectiveness of Thailand's COVID-19 vaccination strategy. We obtained most of the data from the Ministry of Public Health. Deterministic system dynamics and compartmental models were utilized. The reproduction number (R) between Thais and migrants was estimated at 1.25 and 2.5, respectively. Vaccine effectiveness (VE) to prevent infection was assumed at 50%. In Samut Sakhon, there were 500,000 resident Thais and 360,000 resident migrants. The contribution of migrants to the province's gross domestic product was estimated at 20%. Different policy scenarios were analyzed. The migrant-centric vaccination policy scenario received the lowest incremental cost per one case or one death averted compared with the other scenarios. The Thai-centric policy scenario yielded an incremental cost of 27,191 Baht per one life saved, while the migrant-centric policy scenario produced a comparable incremental cost of 3782 Baht. Sensitivity analysis also demonstrated that the migrant-centric scenario presented the most cost-effective outcome even when VE diminished to 20%. A migrant-centric policy yielded the smallest volume of cumulative infections and deaths and was the most cost-effective scenario, independent of R and VE values. Further studies should address political feasibility and social acceptability of migrant vaccine prioritization.

Indexed as

COVID-19COVID-19 VaccinesCost-Benefit AnalysisHumansSARS-CoV-2ThailandVaccinationCOVID-19 Vaccinescost-benefit analysiscost-effectiveness analysisCOVID-19economic evaluationmigrantvaccine

Identifiers

PMID34682548
PMCPMC8535856

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.