Evidence map›Paper›PMID 38074078›Full record

ArticleInfectious Disease Modelling2023

Modeling vaccination strategies with limited early COVID-19 vaccine access in low- and middle-income countries: A case study of Thailand.

Suparinthon Anupong, Tanakorn Chantanasaro, Chaiwat Wilasang, Natcha C Jitsuk, Chayanin Sararat, Kan Sornbundit, Busara Pattanasiri, Dhammika Leshan Wannigama, Mohan Amarasiri, Sudarat Chadsuthi and 1 more

Open access · goldAbstract read
In one paragraph

Article in Infectious Disease Modelling, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.7field-weighted citation impact, top 9% of its field
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

11 citing papers in PubMed, 14 citations in OpenAlex.

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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

11 authors at 4 institutions in 4 countries.

Suparinthon AnupongBiophysics Group, Department of Physics, Faculty of Science, Mahidol University, Bangkok, 10400, Thailand.
Tanakorn ChantanasaroBiophysics Group, Department of Physics, Faculty of Science, Mahidol University, Bangkok, 10400, Thailand.
Chaiwat WilasangBiophysics Group, Department of Physics, Faculty of Science, Mahidol University, Bangkok, 10400, Thailand.
Natcha C JitsukBiophysics Group, Department of Physics, Faculty of Science, Mahidol University, Bangkok, 10400, Thailand.
Chayanin SararatBiophysics Group, Department of Physics, Faculty of Science, Mahidol University, Bangkok, 10400, Thailand.
Kan SornbunditCenter for Disease Modeling, Faculty of Science, Mahidol University, Bangkok, 10400, Thailand.
Busara PattanasiriCenter for Disease Modeling, Faculty of Science, Mahidol University, Bangkok, 10400, Thailand.
Dhammika Leshan WannigamaDepartment of Infectious Diseases and Infection Control, Yamagata Prefectural Central Hospital, Yamagata, Japan.
Mohan AmarasiriLaboratory of Environmental Hygiene, Department of Health Science, School of Allied Health Sciences/Graduate School of Medical Sciences, Kitasato University, Kitasato, Sagamihara-Minami, Kanagawa, 252-0373, Japan.
Sudarat ChadsuthiCenter for Disease Modeling, Faculty of Science, Mahidol University, Bangkok, 10400, Thailand.
Charin ModchangBiophysics Group, Department of Physics, Faculty of Science, Mahidol University, Bangkok, 10400, Thailand.
Mahidol University · THKasetsart University · THKitasato University · JPThai Red Cross Society · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Low- and middle-income countries faced significant challenges in accessing COVID-19 vaccines during the early stages of the pandemic. In this study, we utilized an age-structured modeling approach to examine the implications of various vaccination strategies, vaccine prioritization, and vaccine rollout speeds in Thailand, an upper-middle-income country experiencing vaccine shortages during the early stages of the pandemic. The model directly compares the effectiveness of several vaccination strategies, including the heterologous vaccination where CoronaVac (CV) vaccine was administered as the first dose, followed by ChAdOx1 nCoV-19 (AZ) vaccine as the second dose, under varying disease transmission dynamics. We found that the traditional AZ homologous vaccination was more effective than the CV homologous vaccination, regardless of disease transmission dynamics. However, combining CV and AZ vaccines via either parallel homologous or heterologous vaccinations was more effective than relying solely on AZ homologous vaccination. Additionally, prioritizing vaccination for the elderly aged 60 years and above was the most effective way to reduce mortality when community transmission is well-controlled. On the other hand, prioritizing workers aged 20-59 was most effective in lowering COVID-19 cases, irrespective of the transmission dynamics. Lastly, despite the vaccine prioritization strategy, rapid vaccine rollout speeds were crucial in reducing COVID-19 infections and deaths. These findings suggested that in low- and middle-income countries where early access to high-efficacy vaccines might be limited, obtaining any accessible vaccines as early as possible and using them in parallel with other higher-efficacy vaccines might be a better strategy than waiting for and relying solely on higher-efficacy vaccines.

Indexed as

COVID-19Low- and middle-income countriesThailandVaccine inequality

Identifiers

PMID38074078
PMCPMC10709621
OpenAlexW4388706488

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.