Prevalence of antenatal depression and associated factors among pregnant women during COVID-19 pandemic in North Shewa zone, Amhara region, Ethiopia, 2021

Background Antenatal depression is a form of depression that occurs during pregnancy. This problem may worsen during the COVID-19 epidemic and may result in serious consequences for pregnant women, including depression and other multiple psychosocial problems. However, the prevalence of depression during the COVID-19 pandemic in pregnant women and its associated factors has not been studied in the study area, even in Ethiopia. Methods An institution-based cross-sectional study was conducted among 422 pregnant women who were attending antenatal care in public health institutions in the North Shewa Zone, Ethiopia. The data were collected from May 1- June 30, 2021. A logistic regression model with adjusted odds ratio (AOR) and P-value < 0.05 at the 95% confidence interval was used to determine significantly associated factors. Results The prevalence of antenatal depression among pregnant women during the COVID-19 pandemic was 34.1% (95% CI: 29.6-38.9). Divorced marital status (AOR= 7.52, CI: 2.707-20.911), husband’s educational status “cannot read and write” (AOR= 4.05, CI: 1.834- 8.962) and “can read and write without formal education” (AOR= 2.39, CI: 1.107-5.154) are statistically significant variables associated with depression among pregnant women during the COVID-19 pandemic. Conclusions In this study, the prevalence of antenatal depression in pregnant women during the novel coronavirus pandemic was high. To reduce the level of depression in pregnant women, strategies have to be designed for the early detection of divorced pregnant women with inadequate social support and address enough information for pregnant women and their husbands about depression and COVID-19 during the pandemic.

Collaborative engagement of health professional associations in Ethiopia's COVID-19 response: achievements and lessons learned. (Special Issue: Special issue.)

Introduction: Effective and speedy response to a public health crisis such as the covid-19 pandemic requires collaboration. Therefore, Ethiopian health professional associations formed a scientific advisory council in March 2020 to provide collaborative technical assistance to the Ministry of Health (MOH) in the national COVID-19 pandemic response. In this paper, we reflect on achievements and lessons learned in the collaborative partnership between health professional associations and the MOH in the COVID-19 response. Achievements and challenges: The scientific advisory council created a platform for coordinated communication between professional associations and the MOH, which provided technical assistance on preventive and control measures and established a web-based information repository to share credible and locally relevant COVID-19 resources to health workers. Professional associations also cooperatively provided COVID-19 training to health workers, engaged the media for public health education and advocacy, and called for better protection and support of health workers. However, the lack of institutional arrangement for collaboration, delay in implementation of recommendations, decrease in engagement of scientific advisory council members over time, and shortage of funding was observed as challenges in the collaborative engagement of professional associations. Conclusion and recommendation: The COVID-19 pandemic created unprecedented opportunities for a collaborative partnership between professional associations and the MOH. We believe this partnership contributed to reducing the spread of COVID-19 and saved many lives. Going forward, the partnership should be formalized to ensure effective and sustainable relationships and this partnership should be upgraded to engage professional associations in co-creating, implementing, and monitoring health policies and programs.

The COVID-19 pandemic and healthcare systems in Africa: a scoping review of preparedness, impact and response.

BACKGROUND: The COVID-19 pandemic has overwhelmed health systems in both developed and developing nations alike. Africa has one of the weakest health systems globally, but there is limited evidence on how the region is prepared for, impacted by and responded to the pandemic. METHODS: We conducted a scoping review of PubMed, Scopus, CINAHL to search peer-reviewed articles and Google, Google Scholar and preprint sites for grey literature. The scoping review captured studies on either preparedness or impacts or responses associated with COVID-19 or covering one or more of the three topics and guided by Arksey and O'Malley's methodological framework. The extracted information was documented following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension checklist for scoping reviews. Finally, the resulting data were thematically analysed. RESULTS: Twenty-two eligible studies, of which 6 reported on health system preparedness, 19 described the impacts of COVID-19 on access to general and essential health services and 7 focused on responses taken by the healthcare systems were included. The main setbacks in health system preparation included lack of available health services needed for the pandemic, inadequate resources and equipment, and limited testing ability and surge capacity for COVID-19. Reduced flow of patients and missing scheduled appointments were among the most common impacts of the COVID-19 pandemic. Health system responses identified in this review included the availability of telephone consultations, re-purposing of available services and establishment of isolation centres, and provisions of COVID-19 guidelines in some settings. CONCLUSIONS: The health systems in Africa were inadequately prepared for the pandemic, and its impact was substantial. Responses were slow and did not match the magnitude of the problem. Interventions that will improve and strengthen health system resilience and financing through local, national and global engagement should be prioritised.

Community-Based Assessment of People with Chronic Diseases and Conditions Worsening the Severity of COVID-19 in Addis Ababa City Administration

Background: the COVID-19 pandemic stayed in a sporadic form for a long time after introducing the coronavirus in the country, later appearing in clusters within communities. During such sporadic and clustered spread of the disease, the government of Ethiopia started identifying suspects through active surveillance for COVID-19. This study aimed to describe people who have chronic illnesses that could be underlying conditions for increased severity of COVID-19. Methods: A survey was conducted in May 2020 using active community-based case surveillance in 30 randomly selected woredas in Addis Ababa City. Data were collected from each household member by assessing for general conditions and diseases expected to increase their risk of suffering higher severity from COVID-19. Data were stored in M.S. Excel and analyzed using SPSS-version 26 for windows. Descriptive analysis was conducted to know the proportion of persons with chronic diseases, and thus the population with a higher risk of suffering more severity from COVID-19 by place, person, and time. The results are presented using tables and graphs as appropriate. Results: The point prevalence of flu-like syndrome was 51.9 per 100,000 persons, and the prevalence was higher among older people. The study showed that 11,600 per 100,000 households have at least a member with chronic diseases that worsen the severity of COVID-19 morbidity. The survey also found 6,939 and 5,140 households per 100,000 households have diabetes mellitus and hypertension, respectively, and about 1950 per 100,000 households were with bronchial asthma. Nearly a quarter of the households have people with two or more chronic diseases that worsen their risk of facing a more severe course of COVID-19 than it would be for people without those underlying conditions. Discussion: High proportion of households have people with chronic diseases that worsen their risk of suffering a more severe course of COVID-19 than it would be for people without those underlying conditions. The Ministry of Health should devise and implement mechanisms to safeguard people with chronic diseases from contracting the diseases.

COVID-19 in Ethiopia: a geospatial analysis of vulnerability to infection, case severity and death.

BACKGROUND: COVID-19 has caused a global public health crisis affecting most countries, including Ethiopia, in various ways. This study maps the vulnerability to infection, case severity and likelihood of death from COVID-19 in Ethiopia. METHODS: Thirty-eight potential indicators of vulnerability to COVID-19 infection, case severity and likelihood of death, identified based on a literature review and the availability of nationally representative data at a low geographic scale, were assembled from multiple sources for geospatial analysis. Geospatial analysis techniques were applied to produce maps showing the vulnerability to infection, case severity and likelihood of death in Ethiopia at a spatial resolution of 1 km×1 km. RESULTS: This study showed that vulnerability to COVID-19 infection is likely to be high across most parts of Ethiopia, particularly in the Somali, Afar, Amhara, Oromia and Tigray regions. The number of severe cases of COVID-19 infection requiring hospitalisation and intensive care unit admission is likely to be high across Amhara, most parts of Oromia and some parts of the Southern Nations, Nationalities and Peoples' Region. The risk of COVID-19-related death is high in the country's border regions, where public health preparedness for responding to COVID-19 is limited. CONCLUSION: This study revealed geographical differences in vulnerability to infection, case severity and likelihood of death from COVID-19 in Ethiopia. The study offers maps that can guide the targeted interventions necessary to contain the spread of COVID-19 in Ethiopia.

Risk factors for COVID-19 infection, disease severity and related deaths in Africa: a systematic review.

OBJECTIVE: The aim of this study was to provide a comprehensive evidence on risk factors for transmission, disease severity and COVID-19 related deaths in Africa. DESIGN: A systematic review has been conducted to synthesise existing evidence on risk factors affecting COVID-19 outcomes across Africa. DATA SOURCES: Data were systematically searched from MEDLINE, Scopus, MedRxiv and BioRxiv. ELIGIBILITY CRITERIA: Studies for review were included if they were published in English and reported at least one risk factor and/or one health outcome. We included all relevant literature published up until 11 August 2020. DATA EXTRACTION AND SYNTHESIS: We performed a systematic narrative synthesis to describe the available studies for each outcome. Data were extracted using a standardised Joanna Briggs Institute data extraction form. RESULTS: Fifteen articles met the inclusion criteria of which four were exclusively on Africa and the remaining 11 papers had a global focus with some data from Africa. Higher rates of infection in Africa are associated with high population density, urbanisation, transport connectivity, high volume of tourism and international trade, and high level of economic and political openness. Limited or poor access to healthcare are also associated with higher COVID-19 infection rates. Older people and individuals with chronic conditions such as HIV, tuberculosis and anaemia experience severe forms COVID-19 leading to hospitalisation and death. Similarly, high burden of chronic obstructive pulmonary disease, high prevalence of tobacco consumption and low levels of expenditure on health and low levels of global health security score contribute to COVID-19 related deaths. CONCLUSIONS: Demographic, institutional, ecological, health system and politico-economic factors influenced the spectrum of COVID-19 infection, severity and death. We recommend multidisciplinary and integrated approaches to mitigate the identified factors and strengthen effective prevention strategies.

Predictors of adherence to COVID-19 prevention measure among communities in North Shoa Zone, Ethiopia based on health belief model: A cross-sectional study.

INTRODUCTION: Coronavirus disease 2019 (COVID-19) is an emerging respiratory infections and is known to cause illness ranging from the common cold to severe acute respiratory syndrome. At present, the disease has been posing a serious threat to the communities, and it is critical to know the communities' level of adherence on COVID-19 prevention measures. Thus, this study aimed to identify the predictors of adherence to COVID-19 prevention measure among communities in North Shoa zone, Ethiopia by using a health belief model. METHODS: Community-based cross-sectional study design was employed. A total of 683 respondents were interviewed using a structured and pre-tested questionnaire. The data were collected by using a mobile-based application called "Google form." Logistic regression was performed to analyze the data. Estimates were reported in adjusted odds ratios with 95% confidence intervals (CI) and a significant association was declared at p-value of less than 0.05. RESULT: The overall adherence level of the community towards the recommended safety measures of COVID-19 was 44.1%. Self-efficacy (AOR = 0.23; 95% 0.14, 0.36), perceived benefits (AOR = 0.35; 95% 0.23, 0.56), perceived barriers (AOR = 3.36; 95% 2.23, 5.10), and perceived susceptibility of COVID-19 (AOR = 1.60; 95% 1.06, 2.39) were important predictors that influenced the adherence of the community to COVID-19 preventive behaviors. CONCLUSIONS: In this study, the overall adherence level of the community towards the recommended safety measures of COVID-19 was relatively low. It is vital to consider the communities' self-efficacy, perceived benefits, perceived barriers and perceived susceptibility of COVID-19 in order to improve the adherence of the community towards the recommended safety measures of COVID-19.