Compliance, Barriers, and Facilitators to Social Distancing Measures for Prevention of Coronavirus Disease 2019 in Northwest Ethiopia, 2020

Hailu, Workagegnehu; Derseh, Lemma; Hunegnaw, Melkamu Tamir; Tesfaye, Tsebaot; Angaw, Dessie Abebaw

doi:10.1016/j.curtheres.2021.100632

Cited by 23 publications

(35 citation statements)

References 20 publications

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“… 1 This newly identified disease is called COVID-19, which is a contagious disease among respiratory diseases 2 and is becoming the current global health crisis. 3 …”

Section: Introductionmentioning

confidence: 99%

Practices and associated factors of infection prevention of nurses working in public and private hospitals toward COVID-19 in Bahir Dar City, Northwest Ethiopia: Institution-based cross-sectional study

Eyayu¹,

Motbainor

Gizachew³

2022

SAGE Open Medicine

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Objective: To assess the levels of practices and associated factors of infection prevention of nurses working in public and private hospitals toward coronavirus 2019 (COVID-19) in Bahir Dar City, Ethiopia. Methods: Institution-based cross-sectional study design employed in public and private hospitals in Bahir Dar city from 26 March 2021 to 8 April 2021. A total of 442 study participants were recruited using stratified followed by simple random sampling techniques. A self-administered questionnaire was prepared and pretested on 5% of the total sample. The collected data were checked for completeness and consistency, and then the data were coded, entered, and cleaned with SPSS version 25 software. Descriptive statistics were carried out to display the means and proportions of sociodemographic characteristics. Logistic regression analysis was used to assess the association between the level of prevention practices and the independent variables. An adjusted odds ratio with 95% confidence interval was used to report the results. A significant association was set at p-value <0.05. Results: Of the total 442 samples, 431 (with response rate of 97.5%) answered the questions completely. The mean (±standard deviation) age of the participants was 29.33 (±5.62) years and 217 (50.3%) were females. The proportion of good prevention practices of nurses toward COVID-19 was 39.4% (95% confidence interval: 35%–44%). Female (adjusted odds ratio = 1.77, 95% confidence interval: 1.18–2.68), have training on COVID-19 (adjusted odds ratio = 1.65, 95% confidence interval: 1.10–2.48), personal protective equipment access (adjusted odds ratio = 1.57, 95% confidence interval: 1.01–2.44), availability of infection prevention guideline (adjusted odds ratio = 1.63, 95% confidence interval: 1.06–2.49), and favorable attitude (adjusted odds ratio = 2.05, 95% confidence interval: 1.25–3.36) were factors significantly associated with good infection prevention practices. Conclusion: Most nurses in Bahir Dar City public and private hospitals had poor prevention practices against COVID-19. Training provision, infection prevention guidelines distribution, sustainable personal protective equipment access, and promotion to change their attitudes are intervention areas that required emphasis.

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“… 1 This newly identified disease is called COVID-19, which is a contagious disease among respiratory diseases 2 and is becoming the current global health crisis. 3 …”

Section: Introductionmentioning

confidence: 99%

Practices and associated factors of infection prevention of nurses working in public and private hospitals toward COVID-19 in Bahir Dar City, Northwest Ethiopia: Institution-based cross-sectional study

Eyayu¹,

Motbainor

Gizachew³

2022

SAGE Open Medicine

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“…Fikrie et al’s study identified that knowledge and attitude were contributing factors causing poor practices of social distancing in the West Guji Zone of Ethiopia [ 31 ]. Hailu et al investigated the barriers and driving factors for influencing the compliance level of social distancing measures [ 17 ]. In Tolu et al’s study, the calculated ReadyScore was 52% indicating that more measures needed to be implemented, where they recommended social distancing measures, increasing case tracing, sanitary measures, etc [ 15 ].…”

Section: Introductionmentioning

confidence: 99%

Assessing the dynamic impacts of non-pharmaceutical and pharmaceutical intervention measures on the containment results against COVID-19 in Ethiopia

et al. 2022

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The rapid spread of COVID-19 in Ethiopia was attributed to joint effects of multiple factors such as low adherence to face mask-wearing, failure to comply with social distancing measures, many people attending religious worship activities and holiday events, extensive protests, country election rallies during the pandemic, and the war between the federal government and Tigray Region. This study built a system dynamics model to capture COVID-19 characteristics, major social events, stringencies of containment measures, and vaccination dynamics. This system dynamics model served as a framework for understanding the issues and gaps in the containment measures against COVID-19 in the past period (16 scenarios) and the spread dynamics of the infectious disease over the next year under a combination of different interventions (264 scenarios). In the counterfactual analysis, we found that keeping high mask-wearing adherence since the outbreak of COVID-19 in Ethiopia could have significantly reduced the infection under the condition of low vaccination level or unavailability of the vaccine supply. Reducing or canceling major social events could achieve a better outcome than imposing constraints on people’s routine life activities. The trend analysis found that increasing mask-wearing adherence and enforcing more stringent social distancing were two major measures that can significantly reduce possible infections. Higher mask-wearing adherence had more significant impacts than enforcing social distancing measures in our settings. As the vaccination rate increases, reduced efficacy could cause more infections than shortened immunological periods. Offsetting effects of multiple interventions (strengthening one or more interventions while loosening others) could be applied when the levels or stringencies of one or more interventions need to be adjusted for catering to particular needs (e.g., less stringent social distancing measures to reboot the economy or cushion insufficient resources in some areas).

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“…Also, as a previous study reports, hand sanitizers with moisturizers have minimal allergies and irritation ( 43 ). Third, cultural values, owing to different customs, socioeconomic status, and education levels of Ethiopians, may affect social distancing ( 44 ). Ethiopians have a culture of sharing food and drinking coffee with their neighbors, which facilitate easy transmission of COVID-19 in the community.…”

Section: Discussionmentioning

confidence: 99%

Early and Subsequent Epidemic Characteristics of COVID-19 and Their Impact on the Epidemic Size in Ethiopia

Amhare

Tao

et al. 2022

Front. Public Health

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In Ethiopia, multiple waves of the COVID-19 epidemic have been observed. So far, no studies have investigated the characteristics of the waves of epidemic waves in the country. Identifying the epidemic trend in Ethiopia will inform future prevention and control of COVID-19. This study aims to identify the early indicators and the characteristics of multiple waves of the COVID-19 epidemics and their impact on the overall epidemic size in Ethiopia. We employed the Jointpoint software to identify key epidemic characteristics in the early phase of the COVID-19 epidemic and a simple logistic growth model to identify epidemic characteristics of its subsequent waves. Among the first 100 reported cases in Ethiopia, we identified a slow-growing phase (0.37 [CI: 0.10–0.78] cases/day), which was followed by a fast-growing phase (1.18 [0.50–2.00] cases/day). The average turning point from slow to fast-growing phase was at 18 days after first reported. We identified two subsequent waves of COVID-19 in Ethiopia during 03/2020-04/2021. We estimated the number of COVID-19 cases that occurred during the second wave (157,064 cases) was >2 times more than the first (60,016 cases). The second wave's duration was longer than the first (116 vs. 96 days). As of April 30th, 2021, the overall epidemic size in Ethiopia was 794/100,000, ranging from 1,669/100,000 in the Harari region to 40/100,000 in the Somali region. The epidemic size was significantly and positively correlated with the day of the phase turning point (r = 0.750, P = 0.008), the estimated number of cases in wave one (r = 0.854, P < 0.001), and wave two (r = 0.880, P < 0.001). The second wave of COVID-19 in Ethiopia is far greater, and its duration is longer than the first. Early phase turning point and case numbers in the subsequent waves predict its overall epidemic size.

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Compliance, Barriers, and Facilitators to Social Distancing Measures for Prevention of Coronavirus Disease 2019 in Northwest Ethiopia, 2020

Cited by 23 publications

References 20 publications

Practices and associated factors of infection prevention of nurses working in public and private hospitals toward COVID-19 in Bahir Dar City, Northwest Ethiopia: Institution-based cross-sectional study

Practices and associated factors of infection prevention of nurses working in public and private hospitals toward COVID-19 in Bahir Dar City, Northwest Ethiopia: Institution-based cross-sectional study

Assessing the dynamic impacts of non-pharmaceutical and pharmaceutical intervention measures on the containment results against COVID-19 in Ethiopia

Early and Subsequent Epidemic Characteristics of COVID-19 and Their Impact on the Epidemic Size in Ethiopia

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