Evidence map›Paper›PMID 38317882›Full record

ArticleHeliyon2024

Public perceptions of government policies to COVID-19: A comparative study in six African countries.

Yi-Jun Wang, Marly Loria Diabakanga Batatana, Maximino Horacio Bikoumou Gambat

Abstract read
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Yi-Jun WangSchool of Public Administration, Xi'an University of Architecture and Technology, Shaanxi, 710055, China.
Marly Loria Diabakanga BatatanaSchool of Public Administration, Xi'an University of Architecture and Technology, Shaanxi, 710055, China.
Maximino Horacio Bikoumou GambatSchool of Civil Engineering, Chang'an University, Shaanxi, 710064, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The outbreak of COVID-19 has affected countries across the world, including those in Africa. Governments in these countries have implemented various policies to curb the spread of the virus. However, the effectiveness of these policies largely depends on how the public perceives them. This study aims to investigate public perceptions of government policies regarding COVID-19 in six African countries by conducting a sentiment analysis of the public. The motivation behind this study relies in the recognition that a deeper understanding of public perceptions is essential for crafting effective strategies that resonate with the diverse needs and concerns of the population, ultimately contributing to the ongoing global efforts to navigate the complexities of the COVID-19 pandemic. We collected tweets related to COVID-19 and government policies on Twitter's API from March 07, 2020 to February 02, 2022. We performed data processing steps such as tokenization and stop-word removal to clean the data. Next, we used Natural Language Processing (NLP) techniques to classify the sentiment of each tweet as positive, negative, or neutral. The six African countries selected for this study are Nigeria, South Africa, Kenya, Ghana, Rwanda, and Uganda. We collected 134,494 tweets on Twitter accounts and we evaluated policies by countries in three categories: while some countries implemented too strict policies, others implemented strict or relaxed policies. The findings of this study will provide valuable insights into how the public perceived the policies. This is used to advice policymakers and public health officials on enhancing their messaging and policies to combat the spread of COVID-19 effectively. Data showed heterogeneous reactions with negative perceptions, for instance, earlier, different governments implemented face mask and lockdown policies and vaccination policy later. Researchers and policymakers should exercise caution and consider complementary data sources and methods to ensure a more comprehensive and accurate understanding of public perceptions in the context of government policies related to COVID-19; also, investigate how government policies during the pandemic may have affected the environment, such as changes in pollution levels, waste management, and conservation efforts.

Indexed as

COVID-19Government policiesPublic perceptionsSentiment analysisTwitter

Identifiers

PMID38317882
PMCPMC10839870

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.