Global climate change is expected to affect waterborne enteric diseases, yet to date there has been no comprehensive, systematic review of the epidemiological literature examining the relationship between meteorological conditions and diarrheal diseases. We searched PubMed, Embase, Web of Science and the Cochrane Collection for studies describing the relationship between diarrheal diseases and four meteorological conditions that are expected to increase with climate change: ambient temperature, heavy rainfall, drought, and flooding. We synthesized key areas of agreement and evaluated the biological plausibility of these findings, drawing from a diverse, multidisciplinary evidence base. We identified 141 articles that met our inclusion criteria. Key areas of agreement include a positive association between ambient temperature and diarrheal diseases, with the exception of viral diarrhea; and an increase in diarrheal disease following heavy rainfall and flooding events. Insufficient evidence was available to evaluate the effects of drought on diarrhea. There is evidence to support the biological plausibility of these associations, but publication bias is an ongoing concern. Future research evaluating whether interventions, such as improved water and/or sanitation access, modify risk would further our understanding of the potential impacts of climate change on diarrheal diseases and aid in the prioritization of adaptation measures.

Changes in temperature due to global climate change can and may already be affecting diarrhoeal disease incidence. The vulnerability of populations may depend, in part, on local pathogen distribution. However, evidence of publication bias and the uneven geographical distribution of studies limit the precision and generalizability of the pooled estimates.

Study objective-To investigate the association between drinking water quality and gastrointestinal illness in the elderly of Philadelphia. Design-Within the general population, children and the elderly are at highest risk for gastrointestinal disease. This study investigates the potential association between daily fluctuations in drinking water turbidity and subsequent hospital admissions for gastrointestinal illness of elderly persons, controlling for time trends, seasonal patterns, and temperature using Poisson regression analysis. Setting and participants-All residents of Philadelphia aged 65 and older in 1992-1993 were studied through their MEDI-CARE records. Main results-For Philadelphia's population aged 65 and older, we found water quality 9 to 11 days before the visit was associated with hospital admissions for gastrointestinal illness, with an interquartile range increase in turbidity being associated with a 9% increase (95% CI 5.3%, 12.7%). In the Belmont service area, there was also an association evident at a lag of 4 to 6 days (9.1% increase, 95% CI 5.2, 13.3). Both associations were stronger in those over 75 than in the population aged 65-74. This association occurred in a filtered water supply in compliance with US standards. Conclusions-Elderly residents of Philadelphia remain at risk of waterborne gastrointestinal illness under current water treatment practices. Hospitalisations represent a very small percentage of total morbidity. (J Epidemiol Community Health 2000;54:45-51)

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Introduction COVID-19 disrupted access to critical healthcare and resources for many, especially affecting patients at safety-net hospitals who rely on regular care for multiple complex conditions. Students realized they could support patients from the sidelines by helping navigate abrupt healthcare changes and proactively addressing needs at home. Aim To comprehensively identify and meet the clinical and social needs of Atlanta, Georgia’s patients at highest risk, left without their usual access to healthcare, through proactive telephonic outreach. Setting and Patients Medical and Physician’s Assistant students from Emory and Morehouse Schools of Medicine partnered with Grady Health System, Atlanta’s safety-net hospital. Artificial intelligence prioritized over 15,000 patients by risk of morbidity and mortality from COVID-19. Program Description In this novel program, students performed telephonic outreach to thousands of patients at highest risk of poor outcomes from COVID-19. Students used a custom REDCap form that served as both a call script and data collection tool. It provided step-by-step guidance to (1) screen for COVID-19 and educate on prevention; (2) help patients navigate health system changes to fill gaps in care; and (3) identify and address social needs. Based on patients’ responses, the form prompted tailored reminders for next steps and connections to medical and social resources. Program Evaluation In the program’s first 16 months, students made 7,988 calls, of which 3,354 were answered. Over half (53%) of patients had at least one need requiring action: 48% health and 16% social. Discussion This proactive, novel initiative identified substantial clinical and social need among patients at highest risk for poor outcomes and filled a pressing health system gap exacerbated by COVID-19. Simultaneously, interprofessional students gained applied exposure to health systems sciences. This program can serve as a model for rapid, cost-effective, high-yield outreach to promote patient health at home both during and beyond the pandemic. Supplementary Information The online version contains supplementary material available at 10.1007/s11606-021-07319-x.