Paper Title

Modelling Predictors for Usage of facemasks among the students of the Federal Polytechnic Ado-Ekiti, Nigeria

Article Identifiers

Registration ID: IJNRD_194283

Published ID: IJNRD2305494

DOI: Click Here to Get

Authors

Ajao, I. O. , Nwaka R. N. , Abereifa, O. L.

Keywords

Facemasks, log-linear model, residual deviance, three-factor terms

Abstract

Face cover use by the overall population for restricting the spread of the COVID-19 pandemic has been causing arguments across the globe, however progressively suggested, and the capability of this mediation is not surely known. This paper addressed the use of facemasks among the students of Federal Polytechnic Ado-Ekiti, Nigeria. Three factors investigated to be predictors for use of facemasks in the institution are gender of the students, prior keeping to the rule of social distancing and their various schools or faculties. The log-linear model was employed in order measure the students’ tendencies on the use of facemasks and relationship among the variables. Proportional allocation sampling technique was used to carry out the survey on the students from four faculties in the institution. The variable facemasks has three ordered levels (always, sometimes, never) upon which frequencies were predicted from the identified variables. Data collected revealed that 47% of the students claimed to always use facemasks while 24% claimed they have never used it. Results revealed that there is a strong relationship between use of facemasks and those who keep social distancing rules and faculties (schools) at 5% level having p-values 3.42e-12 and 0.018 respectively. Results of analysis on three-factor terms shows that model (GFS, GD, FD, DS) having residual deviance value 17.4 on 17 degree of freedom and p = 0.43 gave the closest fitted values to the observed frequencies, and consequently the best model. This suggests that the institution should continue to encourage the students to maintain social distancing in order have reasonable number of them complying with the rule of facemasks usage.

How To Cite

"Modelling Predictors for Usage of facemasks among the students of the Federal Polytechnic Ado-Ekiti, Nigeria", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 5, page no.e771-e784, May-2023, Available :https://ijnrd.org/papers/IJNRD2305494.pdf

Issue

Volume 8 Issue 5, May-2023

Pages : e771-e784

Other Publication Details

Paper Reg. ID: IJNRD_194283

Published Paper Id: IJNRD2305494

Downloads: 000121111

Research Area: Applied Mathematics

Country: Ado-Ekiti, Ekiti, Nigeria

Published Paper PDF: https://ijnrd.org/papers/IJNRD2305494.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2305494

About Publisher

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

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Call For Paper - Volume 10 | Issue 8 | August 2025

IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool), Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) with Open-Access Publications.

INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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