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1.
BMC Nutr ; 10(1): 7, 2024 Jan 09.
Artigo em Inglês | MEDLINE | ID: mdl-38195646

RESUMO

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.

2.
BMC Public Health ; 23(1): 2086, 2023 10 25.
Artigo em Inglês | MEDLINE | ID: mdl-37880613

RESUMO

BACKGROUND: COVID-19 resulted in enormous disruption to life around the world. To quell disease spread, governments implemented lockdowns that likely created hardships for households. To improve knowledge of consequences, we examine how the pandemic period was associated with household hardships and assess factors associated with these hardships. METHODS: We conducted a cross-sectional study using quasi-Poisson regression to examine factors associated with household hardships. Data were collected between August and September of 2021 from a random sample of 880 households living within a Health and Demographic Surveillance System (HDSS) located in the Harari Region and the District of Kersa, both in Eastern Ethiopia. RESULTS: 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 independently associated with experiencing household hardships. CONCLUSIONS: Our results identify characteristics of groups at-risk for household hardships during the pandemic; these findings may inform efforts to mitigate the consequences of COVID-19 and future disease outbreaks.


Assuntos
COVID-19 , Choque , Humanos , COVID-19/epidemiologia , Pandemias , Etiópia/epidemiologia , Estudos Transversais , Controle de Doenças Transmissíveis , Características da Família , Choque/epidemiologia
3.
Data Brief ; 50: 109508, 2023 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-37663768

RESUMO

Data were collected as part of the Child Health and Mortality Prevention Surveillance (CHAMPS) network to learn about the effects of COVID-19 lockdowns on child health and access to care. Data were collected between August and September 2021 through a Health and Demographic Surveillance System (HDSS) operating in Eastern Ethiopia using a survey instrument focused on knowledge about COVID-19 and changes in food availability and healthcare services during the COVID-19 related lockdown. The data are representative of two communities in Eastern Ethiopia, one rural (Kersa) and one urban (Harar), and consist of a random sample of 880 households.

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