Screening COVID-19 Suspected Cases and Determining the Associated Factors
BackgroundThe incidence of corona-virus-positive persons in Africa, notably in Ethiopia, is rapidly increasing, leading to enhanced analyses. Even though the majority of people exhibit COVID-19's key symptoms, many refuse to go to the hospital to have the virus tested. This study aims to assess...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-07-01
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| Series: | Frontiers in Public Health |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpubh.2022.901356/full |
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| author | Lijalem Melie Tesfaw Aragaw Bizualem Kassie |
| author_facet | Lijalem Melie Tesfaw Aragaw Bizualem Kassie |
| author_sort | Lijalem Melie Tesfaw |
| collection | DOAJ |
| description | BackgroundThe incidence of corona-virus-positive persons in Africa, notably in Ethiopia, is rapidly increasing, leading to enhanced analyses. Even though the majority of people exhibit COVID-19's key symptoms, many refuse to go to the hospital to have the virus tested. This study aims to assess probable COVID-19 participants and the related characteristics among residents of Northwest Ethiopian municipal towns.MethodsThis project contains participants enlisted from Northwest Ethiopia municipal towns, and a cross-sectional data collection approach was employed. A total of 1,288 arbitrarily designated contestants accomplished an actively screening test questionnaire that was used to assess whether the participants were suspected of coronavirus. The statistical analysis Chi-square test and a binary logistic regression were implemented.ResultsAmong the 1,288 designated contestants, 788 (61.2%) of them were men. About 77.5% of the participants were from orthodox religion and 12.2% live in the rural area permanently. As compared to female participants (45.9%), the number of suspected male participants (54.1%) was higher. As compared to societies in Woldya municipal town, populations in Bahir Dar (aOR = 0.101;95% CI = 0.065,0.156), Gondar (aOR = 0.072;95% CI = 0.043,0.122), and Debre Markos (aOR = 0.368;95% CI = 0.271,0.501) municipal town were less likely to be suspected of COVID-19. Equated to the employed contestants, unemployed contestants had lower odds of being suspected of COVID-19 (aOR = 0.147; 95% CI = 0.1160.186).ConclusionThe prevalence of suspected cases of coronavirus in Northwest Ethiopia was considerably high. The city of residence, work status, hospital use, marital status, permanent residence, and source of information were important determinants of suspected cases of coronavirus. Thus, timely diagnosis of suspected cases of coronavirus and taking the appropriate remedial action help to reduce the spread and mortality rate. |
| first_indexed | 2024-12-11T01:12:30Z |
| format | Article |
| id | doaj.art-4c820ae79d364d909ed98ca5c1a6991a |
| institution | Directory Open Access Journal |
| issn | 2296-2565 |
| language | English |
| last_indexed | 2024-12-11T01:12:30Z |
| publishDate | 2022-07-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Public Health |
| spelling | doaj.art-4c820ae79d364d909ed98ca5c1a6991a2022-12-22T01:26:00ZengFrontiers Media S.A.Frontiers in Public Health2296-25652022-07-011010.3389/fpubh.2022.901356901356Screening COVID-19 Suspected Cases and Determining the Associated FactorsLijalem Melie Tesfaw0Aragaw Bizualem Kassie1Department of Statistics, Bahir Dar University, Bahir Dar, EthiopiaInstitution of EiTEX, Bahir Dar University, Bahir Dar, EthiopiaBackgroundThe incidence of corona-virus-positive persons in Africa, notably in Ethiopia, is rapidly increasing, leading to enhanced analyses. Even though the majority of people exhibit COVID-19's key symptoms, many refuse to go to the hospital to have the virus tested. This study aims to assess probable COVID-19 participants and the related characteristics among residents of Northwest Ethiopian municipal towns.MethodsThis project contains participants enlisted from Northwest Ethiopia municipal towns, and a cross-sectional data collection approach was employed. A total of 1,288 arbitrarily designated contestants accomplished an actively screening test questionnaire that was used to assess whether the participants were suspected of coronavirus. The statistical analysis Chi-square test and a binary logistic regression were implemented.ResultsAmong the 1,288 designated contestants, 788 (61.2%) of them were men. About 77.5% of the participants were from orthodox religion and 12.2% live in the rural area permanently. As compared to female participants (45.9%), the number of suspected male participants (54.1%) was higher. As compared to societies in Woldya municipal town, populations in Bahir Dar (aOR = 0.101;95% CI = 0.065,0.156), Gondar (aOR = 0.072;95% CI = 0.043,0.122), and Debre Markos (aOR = 0.368;95% CI = 0.271,0.501) municipal town were less likely to be suspected of COVID-19. Equated to the employed contestants, unemployed contestants had lower odds of being suspected of COVID-19 (aOR = 0.147; 95% CI = 0.1160.186).ConclusionThe prevalence of suspected cases of coronavirus in Northwest Ethiopia was considerably high. The city of residence, work status, hospital use, marital status, permanent residence, and source of information were important determinants of suspected cases of coronavirus. Thus, timely diagnosis of suspected cases of coronavirus and taking the appropriate remedial action help to reduce the spread and mortality rate.https://www.frontiersin.org/articles/10.3389/fpubh.2022.901356/fullbinary logistic regressionsuspected caseEthiopiacoronavirusAmhara region |
| spellingShingle | Lijalem Melie Tesfaw Aragaw Bizualem Kassie Screening COVID-19 Suspected Cases and Determining the Associated Factors Frontiers in Public Health binary logistic regression suspected case Ethiopia coronavirus Amhara region |
| title | Screening COVID-19 Suspected Cases and Determining the Associated Factors |
| title_full | Screening COVID-19 Suspected Cases and Determining the Associated Factors |
| title_fullStr | Screening COVID-19 Suspected Cases and Determining the Associated Factors |
| title_full_unstemmed | Screening COVID-19 Suspected Cases and Determining the Associated Factors |
| title_short | Screening COVID-19 Suspected Cases and Determining the Associated Factors |
| title_sort | screening covid 19 suspected cases and determining the associated factors |
| topic | binary logistic regression suspected case Ethiopia coronavirus Amhara region |
| url | https://www.frontiersin.org/articles/10.3389/fpubh.2022.901356/full |
| work_keys_str_mv | AT lijalemmelietesfaw screeningcovid19suspectedcasesanddeterminingtheassociatedfactors AT aragawbizualemkassie screeningcovid19suspectedcasesanddeterminingtheassociatedfactors |