Evidence map›Paper›PMID 35881650›Full record

ArticlePloS one2022

Assessing the dynamic impacts of non-pharmaceutical and pharmaceutical intervention measures on the containment results against COVID-19 in Ethiopia.

Hongli Zhu, Shiyong Liu, Wenwen Zheng, Haimanote Belay, Weiwei Zhang, Ying Qian, Yirong Wu, Tadesse Guadu Delele, Peng Jia

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 26% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Observational
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 6 institutions in 2 countries.

Hongli ZhuResearch Institute of Economics and Management, Southwestern University of Finance and Economics, Chengdu, China.
Shiyong LiuInstitute of Advanced Studies in Humanities and Social Sciences, Beijing Normal University at Zhuhai, Zhuhai, China.ORCID 0000-0003-4463-9431
Wenwen ZhengPersonal Finance Department, HQ of China Construction Bank, Beijing, China.
Haimanote BelayResearch Institute of Economics and Management, Southwestern University of Finance and Economics, Chengdu, China.
Weiwei ZhangResearch Institute of Economics and Management, Southwestern University of Finance and Economics, Chengdu, China.
Ying QianBusiness School, University of Shanghai for Science & Technology, Shanghai, China.ORCID 0000-0002-1995-9153
Yirong WuCollege of Business and Economics, University of Gondar, Gondar, Ethiopia.
Tadesse Guadu DeleleInstitute of Advanced Studies in Humanities and Social Sciences, Beijing Normal University at Zhuhai, Zhuhai, China.
Peng JiaDepartment of Public Health, College of Medicine & Health Science, University of Gondar, Gondar, Ethiopia.
Southwestern University of Finance and Economics · CNBeijing Normal University · CNChina Construction Bank · CNUniversity of Gondar · ETUniversity of Shanghai for Science and Technology · CNWuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid spread of COVID-19 in Ethiopia was attributed to joint effects of multiple factors such as low adherence to face mask-wearing, failure to comply with social distancing measures, many people attending religious worship activities and holiday events, extensive protests, country election rallies during the pandemic, and the war between the federal government and Tigray Region. This study built a system dynamics model to capture COVID-19 characteristics, major social events, stringencies of containment measures, and vaccination dynamics. This system dynamics model served as a framework for understanding the issues and gaps in the containment measures against COVID-19 in the past period (16 scenarios) and the spread dynamics of the infectious disease over the next year under a combination of different interventions (264 scenarios). In the counterfactual analysis, we found that keeping high mask-wearing adherence since the outbreak of COVID-19 in Ethiopia could have significantly reduced the infection under the condition of low vaccination level or unavailability of the vaccine supply. Reducing or canceling major social events could achieve a better outcome than imposing constraints on people's routine life activities. The trend analysis found that increasing mask-wearing adherence and enforcing more stringent social distancing were two major measures that can significantly reduce possible infections. Higher mask-wearing adherence had more significant impacts than enforcing social distancing measures in our settings. As the vaccination rate increases, reduced efficacy could cause more infections than shortened immunological periods. Offsetting effects of multiple interventions (strengthening one or more interventions while loosening others) could be applied when the levels or stringencies of one or more interventions need to be adjusted for catering to particular needs (e.g., less stringent social distancing measures to reboot the economy or cushion insufficient resources in some areas).

Indexed as

COVID-19EthiopiaHumansMasksPandemicsSARS-CoV-2

Identifiers

PMID35881650
PMCPMC9321453
OpenAlexW4288041523

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.