Knowledge and Practice to Prevent Against Corona Virus Disease (COVID-19) and Its Associated Factors Among Pregnant Women in Debre Tabor Town Northwest Ethiopia: a Community Based Cross-Sectional Study.

Ayele, Alemu Degu; Mihretie, Gedefaye Nibret; Belay, Habtamu Gebrehana; Teffera, Adanech Getie; Kassa, Bekalu Getnet; Amsalu, Bedemariam Tadesse

doi:10.21203/rs.3.rs-50212/v1

Cited by 7 publications

(18 citation statements)

References 14 publications

(26 reference statements)

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“…In another way younger participants have a better educational level, and another study has shown participants with a higher level of education have better preventive practices. 38 Results of this study also showthat younger participants have a better educational status when compared to older participants.…”

Section: Discussionsupporting

confidence: 53%

“…Consistently, a study conducted in Debre Tabor town shows that participants aged 15–24 were more likely to practice COVID-19 preventive measures. 38 …”

Section: Discussionmentioning

confidence: 99%

“…Consistently, a study conducted in Debre Tabor town shows that participants aged 15-24 were more likely to practice COVID-19 preventive measures. 38 This might be due to information access to younger participants being better. This study also shows most younger participants have access to print media, internet, television, and radio.…”

Section: Discussionmentioning

confidence: 99%

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COVID-19 Preventive Measure Practices and Knowledge of Pregnant Women in Guraghe Zone Hospitals

Fikadu¹,

Yeshaneh²,

Melis³

et al. 2021

IJWH

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Background:The COVID-19 pandemic is caused by a severe acute respiratory syndrome coronavirus which emerged in Wuhan. Recently this virus has rapidly spread throughout Ethiopia. The current preventive measure practices and knowledge have gaps. Therefore this study aimed to assess COVID-19 preventive measure practices and knowledge of pregnant women in Guraghe Zone hospitals. Methods and Materials: This cross-sectional study was conducted from July 27-August 27, 2020 among pregnant women in Guraghe zone hospitals. Systematic random sampling technique were employed to select 403 participants. Data were checked manually for completeness, cleaned, and stored in Epi Data and exported to SPSS for further analysis. Variables which have a P-value less than 0.25 on bivariate analysis were taken to multivariate analysis. A P-value of less than 0.05 and 95% confidence level was used as a cut-off point for presence of association in multivariate analysis. Results: COVID-19 preventive measure practice and knowledge of pregnant women visiting Guraghe Zone hospitals was 76.2% and 54.84%, respectively. Those aged 20-24 (AOR=1.22, 95% CI=1.15-22.24), 25-29 (AOR=1.32, 95% CI=1.20-20.25), and 30-34 (AOR=2.57, 95% CI-2.32-43.38) were more likely to practice COVID-19 preventive measures. Those residing in urban area (AOR=2.16, 95% CI=1.24-3.77) and perceiving that COVID-19 is worst for people with chronic disease (AOR=5.12, 95% CI=1.73-15.17) were more likely to practice COVID-19 preventive measures. Conclusion: COVID-19 preventive measure practices and knowledge were low. Age, residence, and perception of COVID-19 on chronic disease were independent factors associated with preventive measure practices. Pregnant women aged ≥35 need to be counseled on practices of preventing COVID-19 by their healthcare providers.

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Section: Discussionsupporting

confidence: 53%

“…Consistently, a study conducted in Debre Tabor town shows that participants aged 15–24 were more likely to practice COVID-19 preventive measures. 38 …”

Section: Discussionmentioning

confidence: 99%

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COVID-19 Preventive Measure Practices and Knowledge of Pregnant Women in Guraghe Zone Hospitals

Fikadu¹,

Yeshaneh²,

Melis³

et al. 2021

IJWH

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“…25 However, the trend of confirmed COVID-19 cases in Ethiopia has shown that it is better than the US and European countries, though they had comparatively higher testing capacities. Having significant level of inadequate preventive practice measures in Ethiopia, 26,27 thus there is important to comprehend the trend of COVID-19 and to generalize the implications of the strategies used by the government to mitigate the spread of the disease.…”

Section: Discussionmentioning

confidence: 99%

“…AI may also help to decide which patients should be prioritized for treatment and quickly learn which factors predict a higher risk of mortality, as well interventions and population-level controls, have led to reduced harm. 33,34 As the number of COVID-19 cases increased nationally in Ethiopia and different studies showed the majority of the community had poor practice on preventive measures, 26,27 there should be a need to focus on further measures to minimize the spread of COVID-19.…”

Section: Dovepressmentioning

confidence: 99%

Trend Analysis and Forecasting the Spread of COVID-19 Pandemic in Ethiopia Using Box–Jenkins Modeling Procedure

Gebretensae¹,

Asmelash²

2021

IJGM

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Introduction: COVID-19, which causes severe acute respiratory syndrome, is spreading rapidly across the world, and the severity of this pandemic is rising in Ethiopia. The main objective of the study was to analyze the trend and forecast the spread of COVID-19 and to develop an appropriate statistical forecast model. Methodology: Data on the daily spread between 13 March, 2020 and 31 August 2020 were collected for the development of the autoregressive integrated moving average (ARIMA) model. Stationarity testing, parameter testing and model diagnosis were performed. In addition, candidate models were obtained using autocorrelation function (ACF) and partial autocorrelation functions (PACF). Finally, the fitting, selection and prediction accuracy of the ARIMA models was evaluated using the RMSE and MAPE model selection criteria. Results: A total of 51,910 confirmed COVID-19 cases were reported from 13 March to 31 August 2020. The total recovered and death rates as of 31 August 2020 were 37.2% and 1.57%, respectively, with a high level of increase after the mid of August, 2020. In this study, ARIMA (0, 1, 5) and ARIMA (2, 1, 3) were finally confirmed as the optimal model for confirmed and recovered COVID-19 cases, respectively, based on lowest RMSE, MAPE and BIC values. The ARIMA model was also used to identify the COVID-19 trend and showed an increasing pattern on a daily basis in the number of confirmed and recovered cases. In addition, the 60-day forecast showed a steep upward trend in confirmed cases and recovered cases of COVID-19 in Ethiopia. Conclusion: Forecasts show that confirmed and recovered COVID-19 cases in Ethiopia will increase on a daily basis for the next 60 days. The findings can be used as a decision-making tool to implement health interventions and reduce the spread of COVID-19 infection.

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Pregnant women's knowledge and practice in preventing coronavirus disease and its associated factors in the Dire Dawa administration, Ethiopia

Mohammed¹,

Aliyi²

2023

Preprint

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Background Severe acute respiratory infections are a group of respiratory tract infections caused by a beta coronavirus (SARS-COV2).Corona Virus Disease ("COVID-19") is a family of SARS caused by a novel coronavirus that has recently spread rapidly throughout the world. The literature reveals gaps in preventive measures for specific groups, such as pregnant women. Thus, this study was aimed at assessing this gap to help with interventions. Methods A cross-sectional study was conducted from May 1 to 30, 2022, in the Dire Dawa city administration, Ethiopia. A systematic random sampling technique was employed to select participants, and data were collected through face-to-face interviews using a pre-tested structured questionnaire. Data were entered and cleaned by Epi DATA (Version 3.1) and analyzed using SPSS (Version 22). A P-value < 0.25 at bivariate to select variables for multivariate and ≤ 0.05 at multivariate with 95% confidence intervals was considered statistically significant. Results A total of 404 participants were included, for a response rate of 96.4%. About 60.6 percent and 46.3 percent of pregnant women attending antenatal care (ANC) were knowledgeable and had good practice against COVID-19 prevention measures, respectively. The predictors for knowledge were urban residence (AOR = 0.10, 95% CI: 0.06–0.17), media exposure (AOR = 2.0, 95% CI: 1.17–3.40), antenatal care visits (AOR = 2.70, 95% CI: 1.33–5.35), and parity (AOR = 0.40, 95% CI: 0.18–0.88). While urban residence (AOR = 6.60, 95% CI: 4.01–10.90), low income (AOR = 0.60, 95% CI: 0.37–0.93), and wanted pregnancy (AOR = 1.75, 95% CI: 1.01–3.04) were predictors for practice, Conclusion Knowledge of pregnant women on COVID-19 was moderate compared to other studies, but their prevention practice was poor. Increased health education programs about COVID-19 were recommended for both urban and rural areas, as well as at hospital ANC wards.

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Knowledge and Practice to Prevent Against Corona Virus Disease (COVID-19) and Its Associated Factors Among Pregnant Women in Debre Tabor Town Northwest Ethiopia: a Community Based Cross-Sectional Study.

Cited by 7 publications

References 14 publications

COVID-19 Preventive Measure Practices and Knowledge of Pregnant Women in Guraghe Zone Hospitals

COVID-19 Preventive Measure Practices and Knowledge of Pregnant Women in Guraghe Zone Hospitals

Trend Analysis and Forecasting the Spread of COVID-19 Pandemic in Ethiopia Using Box–Jenkins Modeling Procedure

Pregnant women's knowledge and practice in preventing coronavirus disease and its associated factors in the Dire Dawa administration, Ethiopia

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