The burden, admission, and outcome of COVID-19 in Africa: protocol for a systematic review and meta-analysis

Tadesse, Degena Bahrey; Gebremeskel, Gebreamlak Gebremedhn; Asefa, Guesh Gebreayezgi; Abay, Mebrahtu; Demoz, Gebre Teklemariam

doi:10.1080/22221751.2020.1775499

Cited by 19 publications

(11 citation statements)

References 23 publications

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“…COVID-19 has also affected most African countries, with over 103,875 cases and 3,184 deaths. The largest number of cases have been recorded in South Africa and 64,388 cases have been reported in the WHO African region [ 6 , 7 ]. Many African countries suffer from internal conflicts complicated by the emergence of some infectious diseases.…”

Section: Outbreak Investigation Reportmentioning

confidence: 99%

The epidemiological characteristics of COVID-19 in Libya during the ongoing-armed conflict

Daw¹,

El-Bouzedi²,

Ahmed³

et al. 2020

Pan Afr Med J

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COVID-19 can have even more dire consequences in countries with ongoing armed conflict. Libya, the second largest African country, has been involved in a major conflict since 2011. This study analyzed the epidemiological situation of the COVID-19 pandemic in Libya, examined the impact of the armed conflict in Libya on the spread of the pandemic, and proposes strategies for dealing with the pandemic during this conflict. We collected the available information on all COVID-19 cases in the different regions of Libya, covering the period from March 25 th to May 25 th 2020. The cumulative number of cases and the daily new cases are presented in a way to illustrate the patterns and trends of COVID-19, and the effect of the ongoing armed conflict was assessed regionally. A total of 698 cases of COVID-19 were reported in Libya within a period of three months. The number of cases varied from one region to another and was affected by the fighting. The largest number of cases were reported in the southern part of the country, which has been severely affected by the conflict in comparison to the eastern and western parts of the country. This study describes the epidemiological pattern of COVID-19 in Libya and how it has been affected by the ongoing-armed conflict. This conflict seems to have hindered access to populations and there by masked he true dimensions of the pandemic. Hence, efforts should be combined to combat these consequences.

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Section: Outbreak Investigation Reportmentioning

confidence: 99%

The epidemiological characteristics of COVID-19 in Libya during the ongoing-armed conflict

Daw¹,

El-Bouzedi²,

Ahmed³

et al. 2020

Pan Afr Med J

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“…The coronavirus disease 2019 (COVID-19) spread rapidly worldwide, causing high morbidity and heavy economic burden (Docherty et al, 2020;Karagiannidis et al, 2020;Onder et al, 2020;Tadesse et al, 2020;Tang et al, 2020;Wu and McGoogan, 2020;Loomba et al, 2021). In December 2019, a pneumonia of unknown cause was detected and became an epidemic in Wuhan, China.…”

Section: Introductionmentioning

confidence: 99%

Prevalence and Associated Factors for Depressive Symptomatology in Chinese Adults During COVID-19 Epidemic

Peng

Lai

et al. 2020

Front. Psychol.

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Background: The coronavirus disease 2019 (COVID-19) has been rapidly transmitted worldwide, which contributed to various psychological problems (such as fear, depression, and anxiety) among the general population in China. The purpose of this study is to investigate the prevalence and associated factors of depressive symptoms among Chinese adults.Methods: A cross-sectional study of Chinese adults was conducted during 17–29 February 2020. Symptoms of depression were assessed using the Center for Epidemiologic Studies Depression scale (CES-D).Results: A total of 3,399 respondents were included in the analysis. It was observed that 14.2% (481/3,399) of the participants were screened positive for depressive symptoms. In a multivariate logistic regression analysis, older age (OR = 0.98; 95% CI, 0.97–0.99), smoking (OR = 1.57; 95% CI, 1.10–2.26), self-rated health (good: OR = 0.49; 95% CI, 0.37–0.66; fairly: OR = 0.60; 95% CI, 0.45–0.80), having greater support scores (OR = 0.95; 95% CI, 0.94–0.96), knowledge about the main symptom of COVID-19 (very clearly: OR = 0.58; 95% CI, 0.42–0.79; relatively clearly: OR = 0.59; 95% CI, 0.44–0.79), and staying in Wuhan within 3 months before the outbreak of epidemic (OR = 1.78; 95% CI, 1.34–2.38) were associated with depressive symptoms.Conclusion: A considerable proportion of the general population in China had depressive symptoms during the COVID-19 epidemic. Routine screening and targeted interventions for depression are needed among high-risk depressed individuals during the COVID-19 epidemic.

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“…However, future studies on the additional topic are still required to verify its suitability for the application of the α-Sutte Indicator. The COVID-19 pandemic has been placing an intolerable burden on the health system capacity worldwide [45,46]. Currently, there is a great concern on whether the countries severely affected by the COVID-19 pandemic have an ability to provide the sufficient number of materials and resources under dynamic demand for the infected people, such as the increased intensive care unit (ICU), the adequate medical supplies, the eventual vaccine and the like [4,8,47].…”

Section: Discussionmentioning

confidence: 99%

Forecasting the epidemiological trends of COVID-19 prevalence and mortality using the advanced α-Sutte Indicator

Wang

Yao

et al. 2020

Epidemiol. Infect.

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Forecasting the epidemics of the diseases is very valuable in planning and supplying resources effectively. This study aims to estimate the epidemiological trends of the coronavirus disease 2019 (COVID-19) prevalence and mortality using the advanced α-Sutte Indicator, and its prediction accuracy level was compared with the most frequently adopted autoregressive integrated moving average (ARIMA) method. Time-series analysis was performed based on the total confirmed cases and deaths of COVID-19 in the world, Brazil, Peru, Canada and Chile between 27 February 2020 and 30 June 2020. By comparing the prediction reliability indices, including the root mean square error, mean absolute error, mean error rate, mean absolute percentage error and root mean square percentage error, the α-Sutte Indicator was found to produce lower forecasting error rates than the ARIMA model in all data apart from the prevalence testing set globally. The α-Sutte Indicator can be recommended as a useful tool to nowcast and forecast the COVID-19 prevalence and mortality of these regions except for the prevalence around the globe in the near future, which will help policymakers to plan and prepare health resources effectively. Also, the findings of our study may have managerial implications for the outbreak in other countries.

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The burden, admission, and outcome of COVID-19 in Africa: protocol for a systematic review and meta-analysis

Cited by 19 publications

References 23 publications

The epidemiological characteristics of COVID-19 in Libya during the ongoing-armed conflict

The epidemiological characteristics of COVID-19 in Libya during the ongoing-armed conflict

Prevalence and Associated Factors for Depressive Symptomatology in Chinese Adults During COVID-19 Epidemic

Forecasting the epidemiological trends of COVID-19 prevalence and mortality using the advanced α-Sutte Indicator

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