Evidence map›Paper›PMID 36161649›Full record

ArticleJournal of epidemiology and global health2022

Impact of Vaccination and Control Measures on the Fatality of COVID-19: An Ecological Study.

Jinlin Tan, Zhilong Wu, Lin Gan, Qianhong Zhong, Yajuan Zhu, Yufen Li, Dingmei Zhang

Open access · goldAbstract read
In one paragraph

Article in Journal of epidemiology and global health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 35% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Effectiveness of social distancing measures and lockdowns for reducing transmission of COVID-19 in non-healthcare, community-based settings.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2023
    Pooled it
  2. Article
  3. Article
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

7 authors at 2 institutions in 1 country.

Jinlin Tan *Department of Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, Guangdong, China.
Zhilong Wu *Department of Tuberculosis Control, The Fourth People's Hospital of Foshan City, Foshan, 528000, Guangdong, China.
Lin GanDepartment of Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, Guangdong, China.
Qianhong ZhongDepartment of Tuberculosis Control, The Fourth People's Hospital of Foshan City, Foshan, 528000, Guangdong, China.
Yajuan ZhuDepartment of Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, Guangdong, China.
Yufen LiDepartment of Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, Guangdong, China.
Dingmei ZhangDepartment of Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, Guangdong, China. zhdingm@mail.sysu.edu.cn.
Sun Yat-sen University · CNThe Fourth People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDuring the COVID-19 pandemic, reducing the case fatality rate (CFR) becomes an urgent goal.

objectiveThis study explored the effect of vaccination and variants on COVID-19 fatality and provide a basis for the adjustment of control measures.

methodsThis study collected epidemiological information on COVID-19 from January to October 2021. By setting different lag times, we calculated the adjusted CFR. The Spearman correlation coefficient and beta regression were used to explore factors that may affect COVID-19 fatality.

resultsEvery 1% increase in the percentage of full vaccinations may reduce the 3 weeks lagging CFR by 0.66%. Increasing the restrictions on internal movement from level 0 to 1, restrictions on international travel controls from level 2 to 3, and stay-at-home restrictions from level 0 to 2 were associated with an average reduction in 3 weeks lagging CFR of 0.20%, 0.39%, and 0.36%, respectively. Increasing strictness in canceling public events from level 0 to 1 and 2 may reduce the 3 weeks lagging CFR by 0.49% and 0.37, respectively. Increasing the severity of school and workplace closures from level 1 or level 0 to 3 may increase the 3 weeks lagging CFR of 0.39% and 0.83, respectively. Every 1-point increase in the Global Health Security (GHS) index score may increase the 3 weeks lagging CFR by 0.12%.

conclusionA higher percentage of full vaccinations, higher levels of internal movement restrictions, international travel control restrictions, cancelations of public events, and stay-at-home restrictions are factors that may reduce the adjusted CFR.

Indexed as

COVID-19Global HealthHumansPandemicsSARS-CoV-2VaccinationCase fatality rateCOVID-19Prevention and control measuresVaccinationVariant

Identifiers

PMID36161649
PMCPMC9513007
OpenAlexW4297239423

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.