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Stunting, which refers to low height-for-age, is one of the most important public health problems in Ethiopia, and it more accurately reflects nutritional deficiencies and illness that occur during the most critical periods for growth and development in early life. Given this, this paper aims at determining the magnitude and factors associated with stunting among 6–59 month old children in Ilubabor Zone, Southwest Ethiopia.

This paper opted for a descriptive study using an interviewer-administered questionnaire and anthropometric measurements of 617 children aged 6–59 months. A systematic random sampling technique was used to select the study participants. Data was analyzed using Statistical Package for Social Sciences (SPSS) version 25 and World Health Organization (WHO) Anthro software. Multivariate logistic regression analysis was used to identify independent predictors of stunting.

About 33.7% of children aged 6–59 months included in this study were stunted. The proportion of moderate and severe stunting among the stunted children was 26.4% and 7.3%, respectively. Large family size (AOR = 4.0; 95% confidence interval [CI]: 2.5, 6.4), low dietary diversity score (AOR = 7.8; 95% CI: 4.6, 13.0) and household food insecurity (AOR = 16.4; 95% CI: 10.0, 26.7) were independent predictors of stunting.

Reporting and recall bias related to food groups consumed over the past seven days and seasonal variation may affect the findings related to factors associated with stunting.

Globally, it is estimated that nearly 165 million children under the age of five are stunted. Outcomes associated with stunting include increased risk of mortality, increased disease risk, developmental delays, diminished ability to learn and lower school achievement and reduced lifelong productivity. So, determining the level of stunting in a particular community is important to design strategies for curbing the contributing factors.

This study’s community-based design yields a representative sample of study subjects in the Hurumu district, which is valuable for intervention methods and actions. Standardized tools that are validated for use by the World Health Organization are used. Besides, anthropometric data were analyzed using the updated WHO Anthro software.

Due to global trade and transportation, the COVID-19 pandemic has rapidly reached all corners of the world; it has most impacted the poor communities and rural areas with limited or no access to recovery. This paper aims to understand the pandemic's impact on the market supply of vegetables (agrifood) in Ethiopia and other countries in sub-Saharan Africa and to implement scientifically based recommendations that can improve the challenges caused by the pandemic and improve the livelihoods of vegetable producers.

This study assessed the major incidents that follow the occurrence of the COVID-19 pandemic in Ethiopia with the factors that significantly influence onion market supply in the Mecha district of Northwestern Ethiopia using linear multiple regression.

The study revealed that producers, processors, local collectors, cooperatives, wholesalers, retailers and consumers are the main actors. The most important difference that happened on the onion market channel after the outbreak of coronavirus was brokers were removed from the market channel after the pandemic and this saved the cost producers pay as a commission. The pandemic disrupted input distribution, extension and cooperative services and created labor scarcity. Access to market, postharvest value addition, price and marketing contract were significant factors that influence the market supply of onion. The study identified the need for policy interventions by the government to overcome the postpandemic challenges and ensure the sustainable development of onion production and marketing in the Mecha district.

The limitations of the study are primarily related to the methodology as data are collected at a single moment in time. However, the study observes that those changes after the pandemic are better understood if we collect data at different time. Therefore, the future study needs to provide longitudinal data to examine stability of response and to observe performance of the market that occur over time.

This original research is the first to study the impacts of the COVID-19 pandemic in Northwestern Ethiopia. The data used in the analysis are primary.