This study used hospital records from two time periods to understand the implication of COVID-19 on hospital-based deaths in Burundi. The place of COVID-19 symptoms was sought among deaths that occurred from January to May 2020 (during the pandemic) vs. January to May 2019 (before the pandemic). First, death proportions were tested to seize differences between mortality rates for each month in 2020 vs. 2019. In the second time, we compared mean time-to-death between the two periods using the Kaplan–Meier survival curve. Finally, a logistic regression was fitted to assess the likelihood of dying from COVID-19 symptoms between the two periods. We found statistical evidence of a higher death rate in May 2020 as compared to May 2019. Moreover, death occurred faster in 2020 (mean = 6.7 days, s.d. = 8.9) than in 2019 (mean = 7.8 days, s.d. = 10.9). Unlike in 2019, being a male was significantly associated with a much lower likelihood of dying with one or more COVID-19 symptom(s) in 2020 (odds ratio 0.35, 95% confidence interval 0.14–0.87). This study yielded some evidence for a possible COVID-19-related hospital-based mortality trend for May 2020. However, considering the time-constraint of the study, further similar studies over a longer period of time need to be conducted to trace a clearer picture on COVID-19 implication on hospital-based deaths in Burundi.

Introduction: Due to recent disasters, disaster planners increasingly are focusing on healthcare worker preparedness and response in the event of a disaster. In this study, factors associated with pediatric healthcare workers’ willingness to respond are identified.

Hypothesis: It was hypothesized that personal factors may affect a pediatric healthcare worker’s willingness to respond to work in the event of a disaster.

Methods: Employees of a tertiary, pediatric care hospital in Los Angeles were asked to complete a brief, 24-question online survey to determine their willingness to respond in the event of a disaster. Information on demographics, employment, disaster-related training, personal preparedness, and necessary resources was collected. A logistic regression model was performed to derive adjusted odds ratios (OR) and their corresponding 95% confidence intervals (95% CI).

Results: Eight hundred seventy-seven pediatric healthcare employees completed the survey (22% response rate). Almost 50% (n = 318) expressed willingness to respond in the event of a disaster. Men were more likely to be willing to respond to a disaster than were women (OR = 2.4; 95%CI = 1.6–3.6), and single/divorced/widowed employees were more willing to respond than married or partnered employees (OR = 1.5; 95%CI = 1.1–2.1). An inverse relationship was observed between number of dependents and willingness to respond (OR = 0.45; 95%CI = 0.25–0.80, ≥3 dependents compared to 0). An inverse dose response relationship between commuting distance and number of necessary resources (ptrend = 0.0485 and 0.0001, respectively) was observed. There was no association between previous disaster experience, disaster training, or personal preparedness and willingness to respond.

Conclusions: Number of dependents and resources were major factors in willingness to respond. Healthcare facilities must clearly communicate their disaster plans as well as any provisions they may make for their employees’ families in order to improve willingness among hospital employees.