Migration and Mental Health in the Aftermath of Disaster: Evidence from Mt. Merapi, Indonesia

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.

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

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.

Environmental Displacement and Mental Well-Being in Banjarnegara, Indonesia

BACKGROUND

Residential moves (displacement) owing to climate- and weather-related disasters may significantly impact mental health. Despite the growing risk from climate change, health impacts of environmental-mobility remain understudied.

OBJECTIVES

We assessed the effects of displacement on the association between landslides and changes in perceived mental well-being in Banjarnegara, Indonesia. We also investigated whether sociodemographics (age, sex, level of education, household-level income, or employment in agriculture) and landslide characteristics (number and severity of landslides) were associated with differing odds of relocation after experiencing landslides.

METHODS

In this cross-sectional study, we surveyed 420 individuals who experienced landslides between 2014 and 2018 to assess perceived changes in mental well-being, comparing after landslide exposure to before landslide exposure. We used a novel six-item measure that was created in collaboration with the local community to compare perceived changes between those who were displaced by landslides and those who were not displaced, using logistic and multinomial regressions adjusted for sociodemographic characteristics. We then assessed whether the odds of displacement differed based on sociodemographic characteristics and landslide exposure characteristics, using logistic regressions.

RESULTS

Those who were displaced were more likely than those who were not displaced to report perceived increases in economic stability [odds ratio (OR)=3.06; 95% confidence interval (CI): 1.45, 6.46], optimism (OR=4.01; 95% CI: 1.87, 8.61), safety (OR=2.71; 95% CI: 1.44, 5.10), religiosity (OR=1.92; 95% CI: 1.03, 3.65), and closeness with community (OR=1.90; 95% CI: 1.10, 3.33) after landslides compared with before their first landslide during the study period. More frequent landslide exposures were associated with reduced odds of relocation, but more severe landslides were associated with increased odds of relocation.

DISCUSSION

These findings suggest that landslides affect the mental well-being not only of those who are displaced but also of those who are left behind. Further, this work supports the need for community-based participatory research to fully capture the health impacts of environmental mobility. https://doi.org/10.1289/EHP9391.

Community recovery after a natural disaster: Core data from a survey of communities affected by the 2010 Mt. Merapi eruptions in Central Java, Indonesia

The ``Community Recovery after a Natural Disaster: A Survey of Communities Affected by Mt. Merapi Eruptions'' data that are described herein were gathered 16 months after the 2010 Mt. Merapi volcanic eruptions in Central Java, Indonesia. Data collection was organized as a pilot effort to document victim experiences of the disaster; including disaster preparation, mitigation, and recovery. Three-stage clustered random sampling was conducted to create a sample that was representative of varying levels of destruction experienced by victims of the eruptions as well as one that included respondents who were still living in a disaster shelter, who had returned to their previous community, and who had moved on to a new community. By drawing respondents from 10 different villages or shelter communities, a total respondent sample of 400 was collected.