ArticleFrontiers in public health2026
Time-series analysis of pollen concentration effects on allergic conjunctivitis healthcare visits in Beijing, 2023-2024.
Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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6 authors.
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Abstract
Objective: To analyze the lagged effects of pollen concentration on allergic conjunctivitis (AC) healthcare visits and investigate the influence of environmental factors and pathogen infections on AC risk. Methods: Daily AC outpatient and emergency cases from Beijing Shijitan Hospital, along with concurrent meteorological and pollen concentration data from March 1 to October 31 in 2023-2024, were collected. Spearman rank correlation analysis, generalized additive models (GAM), and distributed lag non-linear models (DLNM) were employed to plot lag-response curves for specific cumulative effects and incremental cumulative effects of relative risks. Results: AC visits significantly increased during spring and autumn, closely aligning with peak pollen concentrations (April in spring, September in autumn). Spearman correlation analysis revealed a strong positive association between pollen concentration and AC visits (2023: Conclusion: This study confirms that pollen concentration is the dominant factor affecting the lagged effects of AC visits, with a clear dose-response relationship. The findings provide a scientific basis for AC prevention strategies and public health early-warning systems.
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