BackgroundChildhood diarrhea is a major public health problem, especially in developing countries, including Ethiopia. Exploring the spatial pattern of childhood diarrhea is important to monitor and design effective intervention programs. Therefore, this study aimed to explore the spatial patterns of childhood diarrhea in Ethiopia over the past one decade.MethodsA total of 29,358 under-five children were retrieved from three consecutive Ethiopian demographic and health surveys (2000, 2005, and 2011) and included into the study. Spatial cluster and autocorrelation analysis was done to explore the patterns of childhood diarrhea.ResultsChildhood diarrhea clustered spatially at a national level in all survey periods (Moran’s I: 0.3830–1.3296, p < 0.05). Significant spatial clusters were found in different survey periods across the regions. The most likely spatial clusters were found in Southern Nations Nationalities and people, West Oromia, Gambella, Benshangul-Gumuz, and Somali regions. Childhood diarrhea also clustered at the border areas of Southern Nations Nationalities and People and Tigray, Central Somali and Western Oromia, Gambella and Amhara (West Gojam, Awi, Oromia, and Wag Himra) regions. In 2000, the most likely clusters were found in Southern Nations Nationalities and People, West Oromia, and Gambella regions (LLR = 55.37, p < 0.001); in 2005, at Southern Nations Nationalities and People (LLR: 45.69, p < 0.001); and in 2011, at Gambella, West Southern Nations Nationalities and People and Oromia, and Benshangul-Gumuz regions (LLR: 51.09, p < 0.001).ConclusionIn this study, childhood diarrhea remains public health problem and had a spatial variation across the regions. Identifying the risk areas would help in designing effective interventions to reduce childhood diarrhea in these areas.

ObjectiveIn Ethiopia, community-level knowledge about the current COVID-19 pandemic has not been well studied. This study is aimed to assess knowledge level and factors influencing the prevention of the COVID-19 pandemic among residents of Dessie and Kombolcha city administrations, Ethiopia.DesignCommunity-based cross-sectional study.SettingsDessie and Kombolcha city administrations.ParticipantsParticipants were household heads or members (n=828, >18 years) who have lived in the study area for at least 2 months preceding the survey.MethodsBinary logistic regression was used for a single outcome and multiple response variables. In the multivariable regression model, a value of p<0.05 and adjusted OR (AOR) with 95% CI were used to identify factors associated with knowledge level of the community. Epi Info V.7.2 and SPSS V.20 software were used for data entry and analysis, respectively.OutcomeKnowledge level.ResultsA total of 828 participants was involved with a response rate of 98%. Women were 61.7%. Participants’ mean (±SD) age was 39 (±14) years. Of the total participants 54.11% (95% CI 50.6% to 57.6%) had inadequate knowledge about COVID-19 prevention. Significant associations were reported among women (AOR=1.41; 95% CI 1.03 to 1.92); age ≥65 years (AOR=2.72; 95% CI 1.45 to 5.11); rural residence (AOR=2.69; 95% CI 1.78 to 4.07); unable to read and write (AOR=1.60; 95% CI 1.02 to 2.51); information not heard from healthcare workers, mass media and social media (AOR=1.95; 95% CI 1.35 to 2.82), (AOR=2.5; 95% CI 1.58 to 4.19) and (AOR=2.13; 95% CI 1.33 to 3.42), respectively, with inadequate knowledge.ConclusionThese findings revealed that more than 50% of participants had inadequate knowledge about COVID-19. It highlights the need for widespread awareness campaigns about COVID-19 through mass media, healthcare professionals and social media as sources of information. House-to-house awareness creation is recommended to address older adults who are more vulnerable to the pandemic.

Stunting remains a major public health concern in Ethiopia. Government needs to reshape and redesign new interventions to reduce stunting among under-five children. Hence, this study identified the problem according to location and risk factor. This study is a secondary data analysis of the 2016 Ethiopian Demographic and Health Survey. A total of 9588 children aged 0–59 months were included in the study. The spatial and multilevel logistic regression analyses were used to explore spatial heterogeneity and identify individual- and household-level factors associated with stunting and severe stunting. Spatial heterogeneity of stunting and severe stunting was seen across the study setting. Male children (AOR = 1.51, CI 1.16, 1.96); multiple births (AOR = 27.6, CI 10.73, 71.18); older children (AOR = 1.04, CI 1.01, 1.05) and anemic children (AOR = 3.21, CI 2.3, 4.49) were severely stunted at individual-level factors. Children from educated and malnourished mothers (respectively, AOR = 0.18, CI 0.05, 0.71; AOR = 5.35, CI 3.45, 8.32), and from less wealthier mothers (AOR = 5.95, CI 2.58, 13.69) were severely stunted at household-level factors. Giving priority to the hotspot areas of stunting and older and anemic children, multiple births, and maternal undernutrition is important to reduce stunting. Studies are recommended to fill the gaps of this study.

Background. Under nutrition is one of the leading causes of morbidity and mortality in under-five children in developing countries including Ethiopia. In Ethiopia, many children with severe acute malnutrition (SAM) are treated at inpatient therapeutic feeding centers. However, the survival status and its determinants are not well understood. Therefore, the aim of this study was to estimate the survival status and its determinants among under-five children with severe acute malnutrition admitted to inpatient therapeutic feeding centers (ITFCs). Methods. A record review was conducted on 414 under-five children who were admitted with severe acute malnutrition to ITFCs in South Wollo Zone, northeast Ethiopia, between September 11, 2014, and January 9, 2016. Data were entered into Epi-Info version 7.2 and analyzed using SPSS version 20. Life table analysis was used to estimate cumulative proportion of survival. The relationship between time to recovery and covariates was determined using Cox-proportional hazards regression model. p<0.05 was used to declare presence of significant association between recovery time and covariates. Results. Of the total children recorded, 75.4% of children were recovered and discharged, 10.3% were defaulters, 3.4% died, 7.4% were nonresponders, and 3.4% were unknown. The mean (±standard deviation) time to recovery was 12 (±5.26) days, whereas the median time to recovery was 11 (interquartile range of 8–15) days. Children’s breastfeeding status at admission (AHR: 1.42, 95% CI: 1.10, 1.83) and children without comorbidities at admission (AHR: 1.44, 95% CI: 1.03, 2.00) had statistically significant effect on time to recovery from SAM. Conclusion. All treatment responses in this study were within the recommended and acceptable range of global standards. Policy makers, health facilities, and care providers may need to focus on the importance of breastfeeding especially for those under two years of age and give emphasis for cases with comorbidities.

Introduction Coronavirus-19 is a global health challenge and need an immediate action. Thus, understanding client’s knowledge about SARS-COV2 causes, roots of transmissions, and prevention strategies are urgently warranted. Although there were global studies reported knowledge and preventive practices of COVID-19, but the information is not representative and inclusive for Ethiopia. Thus, the current study is done to identify the knowledge and the prevention strategies for COVID-19 among clients in South Wollo, Ethiopia. Methods An institutional based cross-sectional study was conducted from May 21 to 30, 2020 among clients seeking service in Dessie town health facilities. A total of 81 clients were included from the selected health facilities with simple random sampling technique. We developed measuring tools by adopting from World Health Organization and center for disease prevention recommendation manual for assessing service providers’ knowledge and preventive practices. For data entry Epi-data 3.1 version was employed and further data management and analysis was performed using STATA Version 14. Student T-test and one way ANOVA were computed to see the mean difference in knowledge and practice between and among the group. Chi-square test was also done to portray the presence of association between different co-variants with client’s knowledge and preventive practices. Results Findings of the study showed that more than half (56.8%) of the participants had good knowledge about its symptoms, way of spread and prevention of the virus. Furthermore, 65.4% of clients demonstrated five or more preventive practice measures of COVID-19. The mean preventive practice score with standard deviation was (4.75±1.28 from 6 components). In the current study, knowledge had no significant difference among sex, education status, and monthly income. However, COVID-19 transmission knowledge was significantly higher among urban residents. Thus, clients who were knowledgeable about way of transmission and symptoms of COVID-19 had significantly higher COVID-19 preventive practice. Conclusion Our findings revealed that clients’ knowledge and preventive practice of COVID-19 were not optimal. Clients with good knowledge and urban residents had practiced better prevention measures of the pandemic, signifying that packages and programs directed in enhancing knowledge about the virus is useful in combating the pandemic and continuing safe practices.