Background. Prelacteal feeding is defined as administration of any substances other than breast milk to newborn babies during the first 3 days after birth. Despite its negative health outcomes, it is commonly practiced in developing countries. Therefore, this study aimed at assessing the prevalence of pre-lacteal feeding practices and associated factors among mothers of children aged less than 2 years of age in Kersa district, Eastern Ethiopia. Method. A community-based cross-sectional study design was conducted among 465 mothers having children aged less than 2 years in Kersa district. A multistage sampling technique was used to select study participants. Binary logistic regression analysis was fitted to identify factors associated with prelacteal feeding practices. Variables with a P-value <.05 were identified as statistically significant factors. Results. The prevalence of pre-lacteal feeding in Kersa district was 46.4% (95% CI; 42.0%, 51.5%). Initiating breastfeeding after 1 hour of delivery (AOR = 10.80, 95% CI: (5.79, 20.17)), giving birth at home (AOR = 2.77, 95% CI: (1.41, 5.46)), not knowing risks associated with pre-lacteal feeding (AOR = 3.25, 95% CI: (1.72, 6.15)) and perceiving pre-lacteal feeding as beneficial (AOR = 9.56, 95% CI: (4.45, 20.52)) were factors significantly associated with practice pre-lacteal feeding practices. Conclusion. Significant proportions of mothers were practicing pre-lacteal feeding in the study area. Late initiation of breastfeeding, home delivery, not knowing risks of prelacteal feeding, and perceiving pre-lacteal feeding as beneficial were contributing factors for practicing of pre-lacteal feeding. Therefore, promoting institutional delivery and timely initiation of breastfeeding would reduce prelacteal feeding in Kersa district.

Objective The COVID-19 pandemic was associated with widespread social disruptions, as governments implemented lockdowns to quell disease spread. To advance knowledge of consequences for households in lower-income countries, we examine food insecurity during the pandemic period. Design Cross-sectional study using logistic regression to examine factors associated with food insecurity. Data were collected between August and September of 2021 through a Health and Demographic Surveillance System (HDSS) using a survey instrument focused on knowledge regarding the spread of COVID-19; food availability; COVID-19 related shocks/coping; under-five child healthcare services; and healthcare services for pregnant women. Setting The study is set in two communities in Eastern Ethiopia, one rural and one urban. Participants A random sample of 880 households residing in Kersa and Harar. Results Roughly 16% of households reported not having enough food to eat during the pandemic, an increase of 6% since before the pandemic. After adjusting for other variables, households were more likely to report food insecurity if they were living in an urban area, were a larger household, had a family member lose employment, reported an increase in food prices, or were food insecure before the pandemic. Households were less likely to report food insecurity if they were wealthier or had higher household income. Discussion After taking other characteristics into consideration, households in urban areas were at higher risk for food insecurity. These findings point to the need for expanding food assistance programs to more urban areas to help mitigate the impact of lockdowns on more vulnerable households.

COVID-19 is associated with one of the largest disturbances to life in the 21st century. To quell disease spread, governments implemented lockdowns that likely created hardships for house-holds. To improve knowledge of consequences, we examine how the pandemic period was associ-ated with household hardships and assess factors associated with these hardships. We conducted a cross-sectional study using quasi-Poisson regression to examine factors associated with house-hold hardships. Data were collected between August and September of 2021 from a random sam-ple of 880 households living in a Health and Demographic Surveillance System (HDSS) located in the Harari Region and the District of Kersa, both in Ethiopia. Having a head of household with no education, residing in a rural area, larger household size, lower income and/or wealth, and community responses to COVID-19 including lockdowns and travel restrictions were inde-pendently associated with experiencing household hardships. Our results identify characteristics of groups at-risk for food insecurity during the pan-demic; households that were already strug-gling prior to the onset of the pandemic were at greatest risk of adverse consequences during the pandemic period. These findings may inform future efforts to mitigate the consequences of COVID-19 and future disease out-breaks.

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