Evidence map›Paper›PMID 42326842›Full record

ArticleThe journal of climate change and health

Linking precipitation-driven flooding events to acute respiratory illness in New York city.

Laura T Cabrera-Rivera, Andrew Delgado, Andrew Maroko, Suresh A Sethi, Vishal Midya, Maanal Chowdhury, Brett F Branco, Ilias Kavouras, Ismail Nabeel

Abstract read
In one paragraph

Article in The journal of climate change and health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Laura T Cabrera-RiveraDepartment of Environmental Health-Graduate School of Public Health, University of Puerto Rico-Medical Sciences Campus, San Juan, Puerto Rico, USA.
Andrew DelgadoInstitute for Health Equity Research, Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Andrew MarokoInstitute for Health Equity Research, Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Suresh A SethiAquatic Research and Environmental Assessment Center, Brooklyn College, City University of New York, New York, NY, USA.
Vishal MidyaDepartment of Environmental Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Maanal ChowdhuryGraduate School of Public Health & Health Policy, City University of New York, New York, NY, USA.
Brett F BrancoScience and Resilience Institute at Jamaica Bay, Brooklyn College, New York, NY, USA.
Ilias KavourasGraduate School of Public Health & Health Policy, City University of New York, New York, NY, USA.
Ismail NabeelDepartment of Environmental Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Human-induced climate change is increasing extreme precipitation events, potentially affecting respiratory health and healthcare access in urban areas. This study examined the relationship between precipitation-driven flooding events and emergency department (ED) visits for acute respiratory illnesses in New York City (NYC) communities. Methods: We conducted a retrospective ecological study across 14 postal ZIP codes in New York City's five boroughs from October 2020 to November 2022. Using NYC Micronet sensor network data, we analyzed ED visits for influenza-like illness and pneumonia (n=53,534), categorizing flooding events as minor (<1.5 inches), moderate (1.5-2.5 inches), or major (>2.5 inches). Associations between flooding exposure and ED visits were analyzed using Poisson mixed effects models with a 6-day lag, controlling for socioeconomic status and COVID-19 rates. Results: Precipitation-driven flooding was associated with an average 2.8% decrease in respiratory ED visits after 6 days (IRR 0.972, 95% CI 0.955-0.989). Minor flooding showed a 2.4% reduction in visits, while moderate and major flooding were associated with 17.9% and 12.9% reductions, respectively. These associations remained significant after controlling for confounders. Conclusions: Acute urban flooding events were associated with decreased respiratory ED visits, suggesting possible disruptions to healthcare access or deferred care. These findings affect climate change adaptation and infrastructure planning to ensure continued healthcare accessibility during extreme weather events.

Indexed as

Climate changeEmergency visitsFloodingNew York cityPublic health

Identifiers

PMID42326842
PMCPMC13276443

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.