ArticleDisaster medicine and public health preparedness2023
Diagnosis Codes for Mold Infections and Mold Exposure Before and After Hurricane Harvey Among a Commercially Insured Population-Houston, Texas, 2016-2018.
Article in Disaster medicine and public health preparedness, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- The Associations of Various Types of Hurricane-Related Exposures with Psychiatric and Substance Use Disorders in Puerto Rico Following Hurricane Maria.Disaster medicine and public health preparedness · 2026Article
- Diagnosis and treatment ofIDCases · 2025Article
- Effects of climate change on fungal infections.PLoS pathogens · 2024Review
- The impact of climate change on the epidemiology of fungal infections: implications for diagnosis, treatment, and public health strategies.Therapeutic advances in infectious diseaseReview
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Authors and funding
3 authors.
Funding
Abstract
objectiveIndoor mold after flooding poses health risks, including rare but serious invasive mold infections. The purpose of this study was to evaluate use of International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) diagnosis codes for mold infection and mold exposure in Houston, Texas, during the year before and the year after Hurricane Harvey.
methodsThis study used data from MarketScan, a large health insurance claims database.
resultsThe incidence of invasive mold infections remained unchanged in the year after Hurricane Harvey; however, the incidence of diagnosis codes for mold exposure nearly doubled compared with the year before the hurricane (6.3 vs 11.0 per 100 000 enrollees, rate ratio: 1.7, 95% confidence interval 1.0-3.1).
conclusionsDiagnosis codes alone may not be sufficiently sensitive to detect changes in invasive mold infection rates within this population and time frame, demonstrating the need for more comprehensive studies.
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