Household hardships and responses to COVID-19 pandemic-related shocks in Eastern Ethiopia

Coronavirus awareness, prevention, and household hardship survey data for the CHAMPS HDSS network: Data collected between August and September of 2022 from the Bamako HDSS, Mali

Data were gathered through a collaborative initiative to investigate impacts of the COVID-19 pandemic and related lockdowns on child and maternal health, economic hardships, and access to care for children and pregnant women by the Child Health and Mortality Prevention Surveillance (CHAMPS) Network. The data were gathered in Bamako, the capital city of Mali (population ∼2.9 million) between August and September of 2022 through a Health and Demographic Surveillance System (HDSS). Data collectors used a survey instrument specifically designed to measure household awareness, knowledge, and prevalence of COVID-19, as well as hardships that households experienced since the onset of the pandemic in March of 2020. The data are from two neighborhoods of Bamako, Banconi and Djicoroni; the Health and Demographic Surveillance System (HDSS) operating in these neighborhoods tracks the health of approximately 235,000 inhabitants. The data were collected using a stratified random sample of 454 households.

Coronavirus awareness and household hardship survey data for the CHAMPS HDSS network: Data collected between April 2021 and February 2022 in the Manhiça HDSS, Mozambique

Data collection was implemented through an initiative by the Child Health and Mortality Prevention Surveillance (CHAMPS) Network to assess whether lockdowns and other social distancing policies during COVID-19 had implications for household economic status, maternal and child health, and healthcare accessibility for pregnant women and children. The data were collected from April 2021 until February 2022 from a population living in a rural community of Mozambique. This rural community is located within a Health and Demographic Surveillance System (HDSS) that operates in the Manhiça district of Maputo province. The survey instrument used for data collection was specifically designed to examine household awareness, knowledge, and prevalence of COVID-19; it was also designed to document hardships experienced by households during the pandemic period such as food insecurity, job losses and/or business closures of household members, and access to healthcare. The data are generalizable to a contiguous community in Manhiça, Mozambique of approximately 200,000 inhabitants.

Prevalence of food insecurity amid COVID-19 lockdowns and sociodemographic indicators of household vulnerability in Harar and Kersa, Ethiopia

BACKGROUND

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 resource-limited countries, we examine food insecurity during the pandemic period.

METHODS

We conducted a cross-sectional study and used 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. The study is set in two communities in Eastern Ethiopia, one rural (Kersa) and one urban (Harar), and included a random sample of 880 households.

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.

CONCLUSIONS

After taking individual and household level sociodemographic characteristics into consideration, households in urban areas were at higher risk for food insecurity. These findings suggest a need for expanding food assistance programs to more urban areas to help mitigate the impact of lockdowns on more vulnerable households.