PurposeAMD is the leading cause of irreversible blindness in older individuals in the Western world, and there are currently no therapies to halt disease progression. Studies suggest that the commonly prescribed antidiabetic drug, metformin, is associated with decreased risk of several ocular diseases, but no work has investigated the effect of metformin use on development of AMD. Thus, we aim to investigate whether metformin use is associated with decreased risk of developing AMD.MethodsIn this retrospective case-control study, we used medical records from patients older than 55 who have visited a University of Florida health clinic. Three controls were matched for every AMD case, defined by International Classification of Diseases, Ninth Revision code, based on the Charlson Comorbidity Index to ensure comparable baseline overall health status. Univariate and conditional multivariable logistic regressions were used to determine the association between a variety of covariates, including metformin use, and AMD diagnosis.ResultsMetformin use was associated with decreased odds of developing AMD, independently of the other covariates investigated, with an odds ratio of 0.58 and a 95% confidence interval of 0.43 to 0.79. Other medications assessed were not associated with decreased odds of developing AMD.ConclusionsPatients who had taken metformin had decreased odds of developing AMD, suggesting that metformin may have a therapeutic role in AMD development or progression in those who are at risk. Further work should include clinical trials to investigate prospectively whether metformin has a protective effect in those at risk for developing AMD.

Background The importance of infectious disease epidemic forecasting and prediction research is underscored by decades of communicable disease outbreaks, including COVID-19. Unlike other fields of medical research, such as clinical trials and systematic reviews, no reporting guidelines exist for reporting epidemic forecasting and prediction research despite their utility. We therefore developed the EPIFORGE checklist, a guideline for standardized reporting of epidemic forecasting research. Methods and findings We developed this checklist using a best-practice process for development of reporting guidelines, involving a Delphi process and broad consultation with an international panel of infectious disease modelers and model end users. The objectives of these guidelines are to improve the consistency, reproducibility, comparability, and quality of epidemic forecasting reporting. The guidelines are not designed to advise scientists on how to perform epidemic forecasting and prediction research, but rather to serve as a standard for reporting critical methodological details of such studies. Conclusions These guidelines have been submitted to the EQUATOR network, in addition to hosting by other dedicated webpages to facilitate feedback and journal endorsement.

The goal of this study was to assess morbidity, mortality, and health-seeking behaviours during the 2014 Ebola outbreak in Monrovia, Liberia. This study examined commonly reported symptoms of illness, pre-clinical diagnostic practices, typical healthcare-seeking strategies, and health resources available to populations, in order to identify salient needs and gaps in healthcare that would inform local emergency response efforts. Semi-structured interviews were conducted with household members in four Monrovia neighbourhoods. Researchers used a multi-stage cluster approach to recruit participants. Within 555 households sampled, 505 individuals were reported sick (69%) or recently sick (38%) or deceased (7%). Common self-diagnoses included malaria, hypertension, influenza, typhoid, and Ebola. The most cited health-seeking strategy was to purchase medications from the private sector. Respondents also obtained healthcare from community members known to have medical experience. Findings suggest that non-formal healthcare systems played an important role in managing morbidity during the West African Ebola virus disease (EVD) outbreak. Lay community members engaged in complex assessments of health symptoms and sought biomedical care at rates perhaps higher than anticipated during the response. This study highlights how informal networks of healthcare providers can play an important role in preventing and curbing future emerging disease outbreaks.

Viral/arboviral infections were characterized by a pattern of recurrent outbreaks and case clusters, with the CHIKV epidemic representing just one of several arboviral agents moving through the population. Although clinical presentations of these agents are similar, arthralgias are highly suggestive of CHIKV infection.

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