There is an urgent need to provide an evidence-based study to support and mainstream PWD on the development agenda in Indonesia due to low prioritisation of poverty eradication of PWD. Thus, this study aims at examining the impacts of disability, types of disability and causes of disability on household's poverty status and household's poverty gap index. Applying Logistic and Tobit regressions, this study confirmed that disabled-headed households are more likely to become poor by 1.3 percentage points and have deeper poverty gap index by 2.6 percent. Household with a visually impaired household head is less likely to be poor compared to other disabled-headed households, while one that has a household head with self-care problem tends to have higher probability of falling into poverty. Moreover, a household in which the household head has congenital disability (disability at birth) has higher probability of being poor by 4.8 percentage points and has deeper poverty gap index of about 7.8 percent.

(1) Background: because of close contacts with COVID-19 patients, hospital workers are among the highest risk groups for infection. This study examined the socioeconomic and behavioral correlates of COVID-19 infection among hospital workers in Indonesia, the country hardest-hit by the disease in the Southeast Asia region. (2) Methods: we conducted a cross-sectional study, which collected data from 1397 hospital staff from eight hospitals in the Greater Jakarta area during April–July 2020. The data was collected using an online self-administered questionnaire and Reverse Transcription-Polymerase Chain Reaction (RT-PCR) tests. We employed descriptive statistics and adjusted and unadjusted logistic regressions to analyze the data of hospital workers as well as the subgroups of healthcare and non-healthcare workers. (3) Results: from a total of 1397 hospital staff in the study, 22 (1.6%) were infected. In terms of correlates, being a healthcare worker (adjusted odds ratio (AOR) = 8.31, 95% CI 1.27–54.54) and having a household size of more than five (AOR = 4.09, 1.02–16.43) were significantly associated with a higher risk of infection. On the other hand, those with middle- and upper-expenditure levels were shown to have a lower risk of infection (AOR = 0.06, 0.01–0.66). Behavioral factors associated with COVID-19 infection among healthcare and non-healthcare workers included knowledge of standard personal protective equipment (PPE) (AOR = 0.08, 0.01–0.54) and application of the six-step handwashing technique (AOR = 0.32, 0.12–0.83). (4) Conclusion: among hospital staff, correlates of COVID-19 infection included being a healthcare worker, household size, expenditure level, knowledge and use of PPE, and application of appropriate hand washing techniques.

This study ( N = 1306) investigated the role behavioural immune system and specific beliefs in COVID-19 misinformation in predicting COVID-19 protective behaviours. By analysing the data from an online survey, we found that germ avoidance significantly predicted social distancing and was negatively correlated to transportation use. Belief in conspiracy theories and non-psychological cures and prevention methods were negatively associated to social distancing, while the latter also predicted lower preventive commodities purchasing. These findings suggested that germ aversion should be incorporated in the promotion of COVID-19 prevention behaviours and that any misinformation related to COVID-19 should be minimized to improve people’s protective behaviours.

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