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ABSTRACT: Purpose
To identify weather variables associated with pathogens contributing to infectious conjunctivitis globally.Methods
Sample collection and pathogen identification from patients with acute infectious conjunctivitis was performed from 2017 to 2023. We linked pathogens identified from 13 sites across 8 countries with publicly available weather data by geographic coordinates. Mixed effects logistic regression analysis was performed to estimate the associations between temperature, precipitation, and relative humidity exposures, and the prevalence of infection types (RNA virus, DNA virus, bacteria, and fungus).Results
In total, 498 cases from the United States, India, Nepal, Thailand, Burkina Faso, Niger, Vietnam, and Israel were included in the analysis. The 8-day
SUBMITTER: Yan D
PROVIDER: S-EPMC11912971 | biostudies-literature | 2025 Mar
REPOSITORIES: biostudies-literature