Evidence map›Paper›PMID 36034008›Full record

ArticleThe Pan African medical journal2022

An internet-based cross-sectional study on infection control practices and drug use for COVID-19 prevention in Nigerian adults.

Adedoyin Oyeyimika Ogunyemi, Adedunni Wumi Olusanya, Adesina Paul Arikawe, Oluwarotimi Bolaji Olopade, Uyiekpen Ima-Edomwonyi, Roland Oluwapelumi Ojo

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Article in The Pan African medical journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Adedoyin Oyeyimika OgunyemiDepartment of Community Medicine, Faculty of Clinical Sciences, College of Medicine, University of Lagos, Idi-Araba, Lagos State, Nigeria.
Adedunni Wumi OlusanyaDepartment of Pharmacology, Therapeutics & Toxicology, Faculty of Basic Medical Sciences, College of Medicine, University of Lagos, Idi-Araba, Lagos State, Nigeria.
Adesina Paul ArikaweDepartment of Physiology, Faculty of Basic Medical Sciences, College of Medicine, University of Lagos, Idi-Araba, Lagos State, Nigeria.
Oluwarotimi Bolaji OlopadeDepartment of Medicine, Lagos University Teaching Hospital, Idi-Araba, Lagos State, Nigeria.
Uyiekpen Ima-EdomwonyiDepartment of Medicine, Lagos University Teaching Hospital, Idi-Araba, Lagos State, Nigeria.
Roland Oluwapelumi OjoDepartment of Community Medicine, Lagos University Teaching Hospital, Idi- Araba, Lagos State, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: COVID-19 has affected several millions of people globally and various means have been employed to curb the spread. This nationwide survey investigated adherence to infection control protocols and drug uptake among Nigerian adults. Methods: this was a descriptive cross-sectional survey using an internet-based questionnaire to investigate adherence to infection control practices and drug use among adults, who have been resident in Nigeria for at least 6 months. The data was analyzed using Stata software version 16 with levels of significance at p<0.05. Results: a total of 1235 adults participated in the study. The respondents were aged 18-78 years with a mean age of 36.3 ±11.1 years. Over half (53.0%) of the participants were between 31-50 years. The male to female ratio was 1: 1.45. Majority (92.6%) had a minimum of tertiary educational qualification. One hundred (27.1%) reported a positive test result for COVID-19. A total of 1,204 (97.5%) admitted to wearing of face masks, 1,125 (91.1%) washed hands regularly, 1,142 (92.5%) used hand sanitizers while physical distancing was maintained in 985 (79.8%). A total of 854 (69.2%) were on at least a drug or herbal based therapy. Herbal based remedies were used in 112 (9.1%), supplements in 763 (61.8%), antibiotics in 210 (17%), ivermectin in 205 (16.6%), and antimalarials in 128 (10.4%) participants. Conclusion: adherence to behavioural measures was high among the population, with widespread uptake of supplements, antibiotics, and antimalarial drugs. The high uptake of antibiotics emphasizes the need to step up regulatory policies for antibiotic use.

Indexed as

COVID-19AdultAnti-Bacterial AgentsCross-Sectional StudiesFemaleHumansInfection ControlInternetMaleMiddle AgedNigeriaSARS-CoV-2Surveys and QuestionnairesAnti-Bacterial Agentsanti-bacterial agentsantimalarialsCOVID-19infection controlIvermectinmasksNigeriapharmaceutical preparationsplant preparations

Identifiers

PMID36034008
PMCPMC9379443

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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.