The ability to synthesize and analyze massive amounts of data is critical to the success of organizations, including those that involve global health. As countries become highly interconnected, increasing the risk for pandemics and outbreaks, the demand for big data is likely to increase. This requires a global health workforce that is trained in the effective use of big data. To assess implementation of big data training in global health, we conducted a pilot survey of members of the Consortium of Universities of Global Health. More than half the respondents did not have a big data training program at their institution. Additionally, the majority agreed that big data training programs will improve global health deliverables, among other favorable outcomes. Given the observed gap and benefits, global health educators may consider investing in big data training for students seeking a career in global health.

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Guyana has annually experienced excessive rainfall and flooding since 2005. This study investigated the general well-being and mental health problems among occupants of households affected by the December 2008 flooding in Guyana. A cross-sectional study design was used to administer validated questionnaires, which included sections on demographics, environmental exposure, general health, and personal behavior. The response rate to the survey was 70% (130/185). The findings indicate an increased self-reported poor health for study participants who smelled moldy odors inside of their home (OR: 4.1, 95% CI: 2.0‐12.0) and for individuals who had mold or mildew inside of their homes (OR: 3.0, 95% CI: 1.2‐7.5). Individuals whose homes had flooded previously were also shown to be slightly more at risk for experiencing diminished interest in daily activities (OR: 1.3, 95% CI: 0.5‐2.9) as well as diminished involvement in social activities (OR: 1.9, 95% CI: 0.7‐4.8). Also, participants who had their houses previously flooded reported an increased difficulty in concentrating (OR: 2.4, 95% CI: 0.9‐6.4). Flooding might be a possible risk factor for well-being and mental health problems among the occupants of affected households.