Evidence map›Paper›PMID 36093422›Full record

ArticleSAGE open medicine2022

Self-reported adherence to preventive practices during the third wave of COVID-19 in Afghanistan.

Arash Nemat, Mohammad Faiq Sediqi, Yasir Ahmed Mohammed Elhadi, Nahid Raufi, Mohammad Yasir Essar, Abdullah Asady

Abstract read
In one paragraph

Article in SAGE open medicine, 2022. 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

6 authors.

Arash NematDepartment of Microbiology, Kabul University of Medical Sciences, Kabul, Afghanistan.ORCID https://orcid.org/0000-0002-7044-5473
Mohammad Faiq SediqiDepartment of Histology, Kabul University of Medical Sciences, Kabul, Afghanistan.
Yasir Ahmed Mohammed ElhadiDepartment of Health Administration and Behavioral Sciences, High Institute of Public Health, Alexandria University, Alexandria, Egypt.
Nahid RaufiDepartment of Dermatology, Kabul University of Medical Sciences, Kabul, Afghanistan.
Mohammad Yasir EssarFaculty of Dentistry, Kabul University of Medical Sciences, Kabul, Afghanistan.ORCID https://orcid.org/0000-0002-6554-7619
Abdullah AsadyDepartment of Microbiology, Kabul University of Medical Sciences, Kabul, Afghanistan.ORCID https://orcid.org/0000-0001-9775-739X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The study objectives were aimed to highlight the areas where public awareness is needed to enhance preventive practices among the public. Hence, to avoid the spread of virus in public settings. In addition, the study has provided compelling data and evidence on the coronavirus disease-2019 trend for health policymakers to make strategic decisions. Introduction: The coronavirus disease-2019 is a highly contagious respiratory disease caused by severe acute respiratory syndrome coronavirus type-2. The disease has spread across the globe. In Afghanistan, thousands of confirmed cases with hundreds of deaths have been reported. In addition, due to insufficient healthcare workforce, insecurity, fragile healthcare infrastructure, low coronavirus disease-2019 vaccination and low testing capacity, the true nature of the pandemic is unlcear. Method: An online survey of the general population in Afghanistan was conducted from April-May 2021. Convenience sampling technique was used to recruit the respondents. Social media platforms were used (WhatsApp, Twitter and Facebook Messenger) to disseminate the electronic survey instrument. Written informed consent was taken from the participants before the filling questionnaires. Data collection was guided through a self-administered questionnaire developed by the researchers according to the World Health Organization guidelines. The sample size was calculated using EPI software. The inclusion criteria were being 18 years or older and having access to the Internet to fill out the online questionnaire. IBM SPSS Statistics version 25.0 was used for analysis. Descriptive statistics (frequencies, percentages) and bi-variable (chi-square) analyses were done. A p value of <0.05 was considered significant at a 95% confidence interval. Results: From 1094 respondents, 78% were male. The majority of respondents were aged ⩽30 years and had an undergraduate education. Nearly 1 in 3 participants were healthcare workers, and 70% lived in households with five or more family members. Overall, 70% of the respondents reported good preventive practices. The majority of the participants reported covering their mouth and nose while coughing and sneezing and cleaning their hands regularly and using alcohol. Meanwhile, 80% of the participants wore a mask when going outside. Moreover, people with post-graduate education had a higher level of preventive practices than those with an undergraduate education.The results of logistic regression revealed participants residence in Kabul, healthcare workers, family size less than 5, avoid meeting people outside, gender, and avoiding 3Cs, were the significant determinants of adhering to good preventive practices. Conclusion: Generally, the public in Afghanistan followed infection prevention rules. However, certain areas require further improvement, such as observing social distance and avoiding shaking hands when meeting others. Negligence of these prevention practices can lead to an increase in infection transmission among people. Public awareness should be continued to keep the people supportive of the government policies.

Indexed as

AfghanistanCoronavirus disease-2019pandemicpreventive practicesthird wave

Identifiers

PMID36093422
PMCPMC9459448

What OpenQuestion holds

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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.