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      Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2 ) IgG-antibody seroprevalence among quarantined population, during the first wave of COVID-19 pandemic, In North West Ethiopia (from 30 April to 30 May 2020)

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          Abstract

          Objective:

          The spread of Severe Acute Respiratory Syndrome Corona Virus-2 (SARS-CoV-2) in Ethiopia is below par understood and to date has been poorly characterized by a lower number of confirmed cases and deaths as compared with other regions of the Sub-Saharan African (SSA) countries. We aimed to investigate the seroprevalence of SARS-CoV-2 specific IgG antibodies, using the Abbott anti-nucleocapsid IgG chemiluminescent microparticle immunoassay, in two COVID-19 diagnosed and treatment centers of quarantined population during the first wave of the COVID-19 pandemic (since 30 April–30 May 2020).

          Methods:

          We analyzed data of 446 quarantined individuals during the first wave of COVID-19 pandemic. The data were collected using both interviewed and blood sample collection. Participants asked about demographic characteristics, COVID-19 infection symptoms, and its practice of preventive measures. Seroprevalence was determined using the severe acute respiratory syndrome coronavirus 2 IgG test.

          Results:

          The mean (± standard deviation) age of the respondent was 37.5 (±18.5) years. The estimated SARS-CoV-2 infection seroprevalence was found 4.7% (95% confidence interval: 3.1–6.2) with no significant difference on age and gender of participants. Severe acute respiratory syndrome coronavirus 2 antibody seroprevalence was significantly associated with individuals who have been worked by moving from home to work area (adjusted odds ratio = 7.8, 95% confidence interval: 4.2–14.3, p < 0.019), not wearing masks (adjusted odds ratio = 2.4, 95% confidence interval: 1.9–3.8, p < 0.02), and baseline comorbidity (adjusted odds ratio = 6.3, 95% confidence interval: 2.3–17.1, p < 0.01) as compared to their counter groups, respectively.

          Conclusion:

          Our study concluded that lower coronavirus disease 2019 seroprevalence, yet the large population in the community to be infected and insignificant proportion of seroprevalence, was observed between age and sex of respondents. Protective measures like contact tracing, face covering, and social distancing are therefore vital to demote the risk of community—strengthening factors should be continued as effect modification of anticipation for severe course of coronavirus disease 2019.

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          Most cited references35

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          The Natural History, Pathobiology, and Clinical Manifestations of SARS-CoV-2 Infections

          Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the etiological agent of coronavirus disease 2019 (COVID-19). SARS-CoV-2, is a positive-sense single-stranded RNA virus with epithelial cell and respiratory system proclivity. Like its predecessor, SARS-CoV, COVID-19 can lead to life-threatening disease. Due to wide geographic impact affecting an extremely high proportion of the world population it was defined by the World Health Organization as a global public health pandemic. The infection is known to readily spread from person-to-person. This occurs through liquid droplets by cough, sneeze, hand-to-mouth-to-eye contact and through contaminated hard surfaces. Close human proximity accelerates SARS-CoV-2 spread. COVID-19 is a systemic disease that can move beyond the lungs by blood-based dissemination to affect multiple organs. These organs include the kidney, liver, muscles, nervous system, and spleen. The primary cause of SARS-CoV-2 mortality is acute respiratory distress syndrome initiated by epithelial infection and alveolar macrophage activation in the lungs. The early cell-based portal for viral entry is through the angiotensin-converting enzyme 2 receptor. Viral origins are zoonotic with genomic linkages to the bat coronaviruses but without an identifiable intermediate animal reservoir. There are currently few therapeutic options, and while many are being tested, although none are effective in curtailing the death rates. There is no available vaccine yet. Intense global efforts have targeted research into a better understanding of the epidemiology, molecular biology, pharmacology, and pathobiology of SARS-CoV-2. These fields of study will provide the insights directed to curtailing this disease outbreak with intense international impact. Graphical Abstract
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            Prevalence of comorbidities and their association with mortality in patients with COVID ‐19: A Systematic Review and Meta‐analysis

            Abstract Aims COVID‐19 is a global pandemic that as of the 4th May has registered over 3 585 711 confirmed cases and 248 780 deaths. This review aims to estimate the prevalence of both cardiometabolic and other co‐morbidities in patients with COVID‐19 infection, and to estimate the increased risk of severity and mortality in people with co‐morbidities. Materials and Methods Medline, Scopus and the World Health Organisation (WHO) website for Global research on COVID‐19 were searched from January 2019 up to April 23, 2020. Study inclusion was restricted to English language publications, original articles that reported prevalence of co‐morbidities in individuals with COVID‐19 disease, and case‐series >10 patients. 18 studies were selected for inclusion. Data were analysed using random effects meta‐analysis models. Results Eighteen studies with a total of 14 558 individuals were identified. The pooled prevalence for co‐morbidities in patients with COVID‐19 disease was 22.9% (95% CI: 15.8 to 29.9) for hypertension; 11.5% (9.7 to 13.4) for diabetes; and 9.7% (6.8 to 12.6) for cardiovascular disease (CVD). For chronic obstructive pulmonary disease (COPD), chronic kidney disease (CKD), cerebrovascular disease, and cancer, the pooled prevalences were all less than 4%. With the exception of cerebrovascular disease, all other co‐morbidities had a significantly increased risk for having severe COVID‐19. In addition, the risk of mortality was significantly increased in individuals with CVD, COPD, CKD, cerebrovascular disease, and cancer. Conclusions In individuals with COVID‐19, the presence of co‐morbidities (both cardiometabolic and other) is associated with a higher risk of severe COVID‐19 and mortality. These findings have important implications for the public health with regards to risk stratification and future planning. This article is protected by copyright. All rights reserved.
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              Knowledge, Attitude and Practice Towards COVID-19 Among Chronic Disease Patients at Addis Zemen Hospital, Northwest Ethiopia

              Purpose The recent outbreak of coronavirus disease 2019 (COVID-19) is the worst global crisis after the Second World War. Since no successful treatment and vaccine have been reported, efforts to enhance the knowledge, attitudes, and practice of the public, especially the high-risk groups, are critical to manage COVID-19 pandemic. Thus, this study aimed to assess knowledge, attitude, and practice towards COVID-19 among patients with chronic disease. Patients and Methods A cross-sectional study was conducted among 404 chronic disease patients from March 02 to April 10, 2020, at Addis Zemen Hospital, Northwest Ethiopia. Both bivariable and multivariable logistic regression analyses with a 95% confidence interval were fitted to identify factors associated with poor knowledge and practice towards COVID-19. The adjusted odds ratio (AOR) was used to determine the magnitude of the association between the outcome and independent variables. P-value <0.05 was considered statistically significant. Results The mean age of the participants was 56.5±13.5. The prevalence of poor knowledge and poor practice was 33.9% and 47.3%, respectively. Forty-one percent of the participants perceived that avoiding of attending a crowded population is very difficult. Age (AOR=1.05, (95% CI (1.01–1.08)), educational status of “can’t read and write” (AOR=7.1, 95% CI (1.58–31.93)), rural residence (AOR=19.0, 95% CI (6.87–52.66)) and monthly income (AOR=0.8, 95% CI (0.79–0.89)) were significantly associated with poor knowledge. Being unmarried (AOR=3.9, 95% CI (1.47–10.58)), cannot read and write (AOR=2.7, 95% CI (1.03–7.29)), can read and write (AOR=3.5, 95% CI (1.48–8.38)), rural residence (AOR=2.7, 95% CI (1.09–6.70)), income of <7252 Ethiopian birr (AOR=2.3, 95% CI (1.20–4.15)) and poor knowledge (AOR=8.6, 95% CI (3.81–19.45)) were significantly associated with poor practice. Conclusion The prevalence of poor knowledge and poor practice was high. Leaflets prepared in local languages should be administered and health professionals should provide detailed information about COVID-19 to their patients.
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                Author and article information

                Journal
                SAGE Open Med
                SAGE Open Med
                SMO
                spsmo
                SAGE Open Medicine
                SAGE Publications (Sage UK: London, England )
                2050-3121
                7 February 2022
                2022
                : 10
                : 20503121221076931
                Affiliations
                [1 ]Department of Epidemiology & Biostatistics, School of Public Health, College of Health Science, Woldia University, Woldia, Ethiopia
                [2 ]Department of Geography and Environmental Studies, College of Social Science, Bahir Dar University, Bahir Dar, Ethiopia
                [3 ]Pawe Woreda Agricultural Inpute and Production Team Leaders, Metekel Zone, Pawe Woreda, North West, Ethiopia
                Author notes
                [*]Fassikaw Kebede, Department of Epidemiology & Biostatistics, School of Public Health, College of Health Science, Woldia University, Woldia, P.o.box 400, Ethiopia. Email: fassikaw123@ 123456gmail.com
                Author information
                https://orcid.org/0000-0002-6117-5272
                Article
                10.1177_20503121221076931
                10.1177/20503121221076931
                8832578
                35154744
                6deb7760-1df9-4542-844a-019a2ed6e422
                © The Author(s) 2022

                This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License ( https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages ( https://us.sagepub.com/en-us/nam/open-access-at-sage).

                History
                : 27 May 2021
                : 10 January 2022
                Categories
                Original Research Article
                Custom metadata
                January-December 2022
                ts1

                seroprevalence,quarantined population,coronavirus disease 2019,ethiopia

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