Long-term impacts of Atlantic hurricanes on asthma exacerbations among children with asthma in the eastern United States Article Swipe
Kate R. Weinberger
,
Nina Veeravalli
,
Xiao Wu
,
Nicholas J. Nassikas
,
Gregory A. Wellenius
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1289/isee.2021.o-to-022
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1289/isee.2021.o-to-022
BACKGROUND AND AIM: Tropical cyclones (TCs) are associated with substantial, acute increases in mortality and morbidity. Relatively few studies have examined the longer-term health consequences of such storms. We assessed whether TCs increased the frequency of symptom exacerbation among children with a diagnosis of asthma in the 12 months following storms in counties in the eastern United States (US), 2000-2018. METHODS: We defined exposure to TCs as maximum sustained windspeed at the county center 21 meters/second, and matched each exposed county to one or more unexposed counties on sociodemographic variables, climate, and distance from the coast. Within each exposed and matched unexposed county, we used data from the OptumLabs Data Warehouse, a longitudinal, real-world data asset with de-identified administrative claims and electronic health record (EHR) data, to estimate monthly rates of asthma exacerbations requiring medical attention among children aged 5-17 with a prior diagnosis of asthma. Finally, we used a difference-in-differences approach implemented via a log-linear fixed effects model with an offset for eligible population size to compare the rate of asthma exacerbations occurring in exposed versus unexposed counties, in the 12 months before versus 12 months after each storm. RESULTS:Our analysis encompasses 43 TCs that affected at least one county during the study period. Overall, across these storms, we did not observe evidence of an increase in symptom exacerbation in the 12 months following the storm (random effects meta-analytic summary estimate: RR: 1.03 [95% CI: 0.96, 1.10], I2 = 19%). However, we did find evidence of an increase in symptom exacerbation following specific storms, such as Hurricane Sandy. CONCLUSIONS:These findings suggest that some TCs may be detrimental to the respiratory health of children, but that tropical cyclones are not in aggregate substantially associated with long-term exacerbation of asthma among a population of children with health insurance. KEYWORDS: Climate change, Tropical cyclones, Asthma
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1289/isee.2021.o-to-022
- OA Status
- diamond
- Cited By
- 1
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3193767351
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W3193767351Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1289/isee.2021.o-to-022Digital Object Identifier
- Title
-
Long-term impacts of Atlantic hurricanes on asthma exacerbations among children with asthma in the eastern United StatesWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-08-23Full publication date if available
- Authors
-
Kate R. Weinberger, Nina Veeravalli, Xiao Wu, Nicholas J. Nassikas, Gregory A. WelleniusList of authors in order
- Landing page
-
https://doi.org/10.1289/isee.2021.o-to-022Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1289/isee.2021.o-to-022Direct OA link when available
- Concepts
-
Asthma, Medicine, Exacerbation, Asthma exacerbations, Storm, Demography, Population, Environmental health, Pediatrics, Meteorology, Geography, Internal medicine, SociologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
-
2022: 1Per-year citation counts (last 5 years)
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W3193767351 |
|---|---|
| doi | https://doi.org/10.1289/isee.2021.o-to-022 |
| ids.doi | https://doi.org/10.1289/isee.2021.o-to-022 |
| ids.mag | 3193767351 |
| ids.openalex | https://openalex.org/W3193767351 |
| fwci | 0.39109569 |
| type | article |
| title | Long-term impacts of Atlantic hurricanes on asthma exacerbations among children with asthma in the eastern United States |
| biblio.issue | 1 |
| biblio.volume | 2021 |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T10747 |
| topics[0].field.id | https://openalex.org/fields/33 |
| topics[0].field.display_name | Social Sciences |
| topics[0].score | 0.9122999906539917 |
| topics[0].domain.id | https://openalex.org/domains/2 |
| topics[0].domain.display_name | Social Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/3312 |
| topics[0].subfield.display_name | Sociology and Political Science |
| topics[0].display_name | Disaster Management and Resilience |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C2776042228 |
| concepts[0].level | 2 |
| concepts[0].score | 0.8176842927932739 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q35869 |
| concepts[0].display_name | Asthma |
| concepts[1].id | https://openalex.org/C71924100 |
| concepts[1].level | 0 |
| concepts[1].score | 0.7102669477462769 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q11190 |
| concepts[1].display_name | Medicine |
| concepts[2].id | https://openalex.org/C2777014857 |
| concepts[2].level | 2 |
| concepts[2].score | 0.6318920254707336 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q1383410 |
| concepts[2].display_name | Exacerbation |
| concepts[3].id | https://openalex.org/C2909082789 |
| concepts[3].level | 3 |
| concepts[3].score | 0.5648989081382751 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q35869 |
| concepts[3].display_name | Asthma exacerbations |
| concepts[4].id | https://openalex.org/C105306849 |
| concepts[4].level | 2 |
| concepts[4].score | 0.5441539883613586 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q81054 |
| concepts[4].display_name | Storm |
| concepts[5].id | https://openalex.org/C149923435 |
| concepts[5].level | 1 |
| concepts[5].score | 0.5364499688148499 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q37732 |
| concepts[5].display_name | Demography |
| concepts[6].id | https://openalex.org/C2908647359 |
| concepts[6].level | 2 |
| concepts[6].score | 0.4626982808113098 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q2625603 |
| concepts[6].display_name | Population |
| concepts[7].id | https://openalex.org/C99454951 |
| concepts[7].level | 1 |
| concepts[7].score | 0.4017121195793152 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q932068 |
| concepts[7].display_name | Environmental health |
| concepts[8].id | https://openalex.org/C187212893 |
| concepts[8].level | 1 |
| concepts[8].score | 0.3472655415534973 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q123028 |
| concepts[8].display_name | Pediatrics |
| concepts[9].id | https://openalex.org/C153294291 |
| concepts[9].level | 1 |
| concepts[9].score | 0.15343812108039856 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q25261 |
| concepts[9].display_name | Meteorology |
| concepts[10].id | https://openalex.org/C205649164 |
| concepts[10].level | 0 |
| concepts[10].score | 0.14966022968292236 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q1071 |
| concepts[10].display_name | Geography |
| concepts[11].id | https://openalex.org/C126322002 |
| concepts[11].level | 1 |
| concepts[11].score | 0.10331088304519653 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q11180 |
| concepts[11].display_name | Internal medicine |
| concepts[12].id | https://openalex.org/C144024400 |
| concepts[12].level | 0 |
| concepts[12].score | 0.0 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q21201 |
| concepts[12].display_name | Sociology |
| keywords[0].id | https://openalex.org/keywords/asthma |
| keywords[0].score | 0.8176842927932739 |
| keywords[0].display_name | Asthma |
| keywords[1].id | https://openalex.org/keywords/medicine |
| keywords[1].score | 0.7102669477462769 |
| keywords[1].display_name | Medicine |
| keywords[2].id | https://openalex.org/keywords/exacerbation |
| keywords[2].score | 0.6318920254707336 |
| keywords[2].display_name | Exacerbation |
| keywords[3].id | https://openalex.org/keywords/asthma-exacerbations |
| keywords[3].score | 0.5648989081382751 |
| keywords[3].display_name | Asthma exacerbations |
| keywords[4].id | https://openalex.org/keywords/storm |
| keywords[4].score | 0.5441539883613586 |
| keywords[4].display_name | Storm |
| keywords[5].id | https://openalex.org/keywords/demography |
| keywords[5].score | 0.5364499688148499 |
| keywords[5].display_name | Demography |
| keywords[6].id | https://openalex.org/keywords/population |
| keywords[6].score | 0.4626982808113098 |
| keywords[6].display_name | Population |
| keywords[7].id | https://openalex.org/keywords/environmental-health |
| keywords[7].score | 0.4017121195793152 |
| keywords[7].display_name | Environmental health |
| keywords[8].id | https://openalex.org/keywords/pediatrics |
| keywords[8].score | 0.3472655415534973 |
| keywords[8].display_name | Pediatrics |
| keywords[9].id | https://openalex.org/keywords/meteorology |
| keywords[9].score | 0.15343812108039856 |
| keywords[9].display_name | Meteorology |
| keywords[10].id | https://openalex.org/keywords/geography |
| keywords[10].score | 0.14966022968292236 |
| keywords[10].display_name | Geography |
| keywords[11].id | https://openalex.org/keywords/internal-medicine |
| keywords[11].score | 0.10331088304519653 |
| keywords[11].display_name | Internal medicine |
| language | en |
| locations[0].id | doi:10.1289/isee.2021.o-to-022 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4210195765 |
| locations[0].source.issn | 1078-0475, 2169-2181 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 1078-0475 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | ISEE Conference Abstracts |
| locations[0].source.host_organization | https://openalex.org/P4310319799 |
| locations[0].source.host_organization_name | National Institute of Environmental Health Sciences |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310319799 |
| locations[0].license | |
| locations[0].pdf_url | |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | ISEE Conference Abstracts |
| locations[0].landing_page_url | https://doi.org/10.1289/isee.2021.o-to-022 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5035731100 |
| authorships[0].author.orcid | https://orcid.org/0000-0001-6001-0081 |
| authorships[0].author.display_name | Kate R. Weinberger |
| authorships[0].countries | CA, US |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I141945490, https://openalex.org/I4210124242 |
| authorships[0].affiliations[0].raw_affiliation_string | School of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada; OptumLabs® Visiting Fellow, Eden Prairie, Minnesota, USA |
| authorships[0].institutions[0].id | https://openalex.org/I141945490 |
| authorships[0].institutions[0].ror | https://ror.org/03rmrcq20 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I141945490, https://openalex.org/I4210128534, https://openalex.org/I4210135497, https://openalex.org/I4387154919 |
| authorships[0].institutions[0].country_code | CA |
| authorships[0].institutions[0].display_name | University of British Columbia |
| authorships[0].institutions[1].id | https://openalex.org/I4210124242 |
| authorships[0].institutions[1].ror | https://ror.org/0370sjj75 |
| authorships[0].institutions[1].type | company |
| authorships[0].institutions[1].lineage | https://openalex.org/I4210124242 |
| authorships[0].institutions[1].country_code | US |
| authorships[0].institutions[1].display_name | Optum (United States) |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Kate R. Weinberger |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | School of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada; OptumLabs® Visiting Fellow, Eden Prairie, Minnesota, USA |
| authorships[1].author.id | https://openalex.org/A5080246513 |
| authorships[1].author.orcid | |
| authorships[1].author.display_name | Nina Veeravalli |
| authorships[1].countries | US |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I4210124242 |
| authorships[1].affiliations[0].raw_affiliation_string | OptumLabs®, Eden Prairie, Minnesota, USA |
| authorships[1].institutions[0].id | https://openalex.org/I4210124242 |
| authorships[1].institutions[0].ror | https://ror.org/0370sjj75 |
| authorships[1].institutions[0].type | company |
| authorships[1].institutions[0].lineage | https://openalex.org/I4210124242 |
| authorships[1].institutions[0].country_code | US |
| authorships[1].institutions[0].display_name | Optum (United States) |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Nina Veeravalli |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | OptumLabs®, Eden Prairie, Minnesota, USA |
| authorships[2].author.id | https://openalex.org/A5072397998 |
| authorships[2].author.orcid | https://orcid.org/0000-0002-4884-657X |
| authorships[2].author.display_name | Xiao Wu |
| authorships[2].countries | US |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I136199984 |
| authorships[2].affiliations[0].raw_affiliation_string | Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA |
| authorships[2].institutions[0].id | https://openalex.org/I136199984 |
| authorships[2].institutions[0].ror | https://ror.org/03vek6s52 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I136199984 |
| authorships[2].institutions[0].country_code | US |
| authorships[2].institutions[0].display_name | Harvard University |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Xiao Wu |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA |
| authorships[3].author.id | https://openalex.org/A5084438390 |
| authorships[3].author.orcid | https://orcid.org/0000-0002-0798-3703 |
| authorships[3].author.display_name | Nicholas J. Nassikas |
| authorships[3].countries | US |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I27804330 |
| authorships[3].affiliations[0].raw_affiliation_string | Department of Pulmonary, Critical Care, and Sleep Medicine, Brown University, Providence, Rhode Island, USA |
| authorships[3].institutions[0].id | https://openalex.org/I27804330 |
| authorships[3].institutions[0].ror | https://ror.org/05gq02987 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I27804330 |
| authorships[3].institutions[0].country_code | US |
| authorships[3].institutions[0].display_name | Brown University |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Nicholas Nassikas |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | Department of Pulmonary, Critical Care, and Sleep Medicine, Brown University, Providence, Rhode Island, USA |
| authorships[4].author.id | https://openalex.org/A5075376639 |
| authorships[4].author.orcid | https://orcid.org/0000-0003-0427-7376 |
| authorships[4].author.display_name | Gregory A. Wellenius |
| authorships[4].countries | US |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I111088046 |
| authorships[4].affiliations[0].raw_affiliation_string | Boston University School of Public Health, Boston, Massachusetts, USA |
| authorships[4].institutions[0].id | https://openalex.org/I111088046 |
| authorships[4].institutions[0].ror | https://ror.org/05qwgg493 |
| authorships[4].institutions[0].type | education |
| authorships[4].institutions[0].lineage | https://openalex.org/I111088046 |
| authorships[4].institutions[0].country_code | US |
| authorships[4].institutions[0].display_name | Boston University |
| authorships[4].author_position | last |
| authorships[4].raw_author_name | Gregory A. Wellenius |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | Boston University School of Public Health, Boston, Massachusetts, USA |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://doi.org/10.1289/isee.2021.o-to-022 |
| open_access.oa_status | diamond |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Long-term impacts of Atlantic hurricanes on asthma exacerbations among children with asthma in the eastern United States |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10747 |
| primary_topic.field.id | https://openalex.org/fields/33 |
| primary_topic.field.display_name | Social Sciences |
| primary_topic.score | 0.9122999906539917 |
| primary_topic.domain.id | https://openalex.org/domains/2 |
| primary_topic.domain.display_name | Social Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/3312 |
| primary_topic.subfield.display_name | Sociology and Political Science |
| primary_topic.display_name | Disaster Management and Resilience |
| related_works | https://openalex.org/W2902262817, https://openalex.org/W4200354030, https://openalex.org/W1968184194, https://openalex.org/W1957770986, https://openalex.org/W2803609089, https://openalex.org/W1985426726, https://openalex.org/W2366151192, https://openalex.org/W4225925351, https://openalex.org/W2330224070, https://openalex.org/W4313421893 |
| cited_by_count | 1 |
| counts_by_year[0].year | 2022 |
| counts_by_year[0].cited_by_count | 1 |
| locations_count | 1 |
| best_oa_location.id | doi:10.1289/isee.2021.o-to-022 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4210195765 |
| best_oa_location.source.issn | 1078-0475, 2169-2181 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 1078-0475 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | ISEE Conference Abstracts |
| best_oa_location.source.host_organization | https://openalex.org/P4310319799 |
| best_oa_location.source.host_organization_name | National Institute of Environmental Health Sciences |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310319799 |
| best_oa_location.license | |
| best_oa_location.pdf_url | |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | ISEE Conference Abstracts |
| best_oa_location.landing_page_url | https://doi.org/10.1289/isee.2021.o-to-022 |
| primary_location.id | doi:10.1289/isee.2021.o-to-022 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4210195765 |
| primary_location.source.issn | 1078-0475, 2169-2181 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 1078-0475 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | ISEE Conference Abstracts |
| primary_location.source.host_organization | https://openalex.org/P4310319799 |
| primary_location.source.host_organization_name | National Institute of Environmental Health Sciences |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310319799 |
| primary_location.license | |
| primary_location.pdf_url | |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | ISEE Conference Abstracts |
| primary_location.landing_page_url | https://doi.org/10.1289/isee.2021.o-to-022 |
| publication_date | 2021-08-23 |
| publication_year | 2021 |
| referenced_works_count | 0 |
| abstract_inverted_index.= | 239 |
| abstract_inverted_index.a | 41, 111, 141, 149, 154, 290 |
| abstract_inverted_index.12 | 47, 181, 185, 222 |
| abstract_inverted_index.21 | 74 |
| abstract_inverted_index.43 | 193 |
| abstract_inverted_index.I2 | 238 |
| abstract_inverted_index.We | 28, 61 |
| abstract_inverted_index.an | 160, 215, 247 |
| abstract_inverted_index.as | 66, 256 |
| abstract_inverted_index.at | 70, 197 |
| abstract_inverted_index.be | 266 |
| abstract_inverted_index.in | 12, 45, 51, 53, 174, 179, 217, 220, 249, 280 |
| abstract_inverted_index.of | 25, 35, 43, 130, 144, 170, 214, 246, 272, 287, 292 |
| abstract_inverted_index.on | 87 |
| abstract_inverted_index.or | 83 |
| abstract_inverted_index.to | 64, 81, 126, 166, 268 |
| abstract_inverted_index.we | 103, 147, 209, 242 |
| abstract_inverted_index.AND | 1 |
| abstract_inverted_index.CI: | 235 |
| abstract_inverted_index.RR: | 232 |
| abstract_inverted_index.TCs | 31, 65, 194, 264 |
| abstract_inverted_index.and | 14, 76, 91, 99, 120 |
| abstract_inverted_index.are | 6, 278 |
| abstract_inverted_index.but | 274 |
| abstract_inverted_index.did | 210, 243 |
| abstract_inverted_index.few | 17 |
| abstract_inverted_index.for | 162 |
| abstract_inverted_index.may | 265 |
| abstract_inverted_index.not | 211, 279 |
| abstract_inverted_index.one | 82, 199 |
| abstract_inverted_index.the | 21, 33, 46, 54, 71, 94, 107, 168, 180, 202, 221, 225, 269 |
| abstract_inverted_index.via | 153 |
| abstract_inverted_index.1.03 | 233 |
| abstract_inverted_index.5-17 | 139 |
| abstract_inverted_index.AIM: | 2 |
| abstract_inverted_index.Data | 109 |
| abstract_inverted_index.[95% | 234 |
| abstract_inverted_index.aged | 138 |
| abstract_inverted_index.data | 105, 114 |
| abstract_inverted_index.each | 78, 97, 188 |
| abstract_inverted_index.find | 244 |
| abstract_inverted_index.from | 93, 106 |
| abstract_inverted_index.have | 19 |
| abstract_inverted_index.more | 84 |
| abstract_inverted_index.rate | 169 |
| abstract_inverted_index.size | 165 |
| abstract_inverted_index.some | 263 |
| abstract_inverted_index.such | 26, 255 |
| abstract_inverted_index.that | 195, 262, 275 |
| abstract_inverted_index.used | 104, 148 |
| abstract_inverted_index.with | 8, 40, 116, 140, 159, 284, 294 |
| abstract_inverted_index.(EHR) | 124 |
| abstract_inverted_index.(TCs) | 5 |
| abstract_inverted_index.(US), | 58 |
| abstract_inverted_index.0.96, | 236 |
| abstract_inverted_index.19%). | 240 |
| abstract_inverted_index.acute | 10 |
| abstract_inverted_index.after | 187 |
| abstract_inverted_index.among | 38, 136, 289 |
| abstract_inverted_index.asset | 115 |
| abstract_inverted_index.data, | 125 |
| abstract_inverted_index.fixed | 156 |
| abstract_inverted_index.least | 198 |
| abstract_inverted_index.model | 158 |
| abstract_inverted_index.prior | 142 |
| abstract_inverted_index.rates | 129 |
| abstract_inverted_index.storm | 226 |
| abstract_inverted_index.study | 203 |
| abstract_inverted_index.these | 207 |
| abstract_inverted_index.1.10], | 237 |
| abstract_inverted_index.Asthma | 302 |
| abstract_inverted_index.Sandy. | 258 |
| abstract_inverted_index.States | 57 |
| abstract_inverted_index.United | 56 |
| abstract_inverted_index.Within | 96 |
| abstract_inverted_index.across | 206 |
| abstract_inverted_index.asthma | 44, 131, 171, 288 |
| abstract_inverted_index.before | 183 |
| abstract_inverted_index.center | 73 |
| abstract_inverted_index.claims | 119 |
| abstract_inverted_index.coast. | 95 |
| abstract_inverted_index.county | 72, 80, 200 |
| abstract_inverted_index.during | 201 |
| abstract_inverted_index.health | 23, 122, 271, 295 |
| abstract_inverted_index.months | 48, 182, 186, 223 |
| abstract_inverted_index.offset | 161 |
| abstract_inverted_index.record | 123 |
| abstract_inverted_index.storm. | 189 |
| abstract_inverted_index.storms | 50 |
| abstract_inverted_index.versus | 176, 184 |
| abstract_inverted_index.(random | 227 |
| abstract_inverted_index.Climate | 298 |
| abstract_inverted_index.asthma. | 145 |
| abstract_inverted_index.change, | 299 |
| abstract_inverted_index.compare | 167 |
| abstract_inverted_index.county, | 102 |
| abstract_inverted_index.defined | 62 |
| abstract_inverted_index.eastern | 55 |
| abstract_inverted_index.effects | 157, 228 |
| abstract_inverted_index.exposed | 79, 98, 175 |
| abstract_inverted_index.matched | 77, 100 |
| abstract_inverted_index.maximum | 67 |
| abstract_inverted_index.medical | 134 |
| abstract_inverted_index.monthly | 128 |
| abstract_inverted_index.observe | 212 |
| abstract_inverted_index.period. | 204 |
| abstract_inverted_index.storms, | 208, 254 |
| abstract_inverted_index.storms. | 27 |
| abstract_inverted_index.studies | 18 |
| abstract_inverted_index.suggest | 261 |
| abstract_inverted_index.summary | 230 |
| abstract_inverted_index.symptom | 36, 218, 250 |
| abstract_inverted_index.whether | 30 |
| abstract_inverted_index.Finally, | 146 |
| abstract_inverted_index.However, | 241 |
| abstract_inverted_index.METHODS: | 60 |
| abstract_inverted_index.Overall, | 205 |
| abstract_inverted_index.Tropical | 3, 300 |
| abstract_inverted_index.affected | 196 |
| abstract_inverted_index.analysis | 191 |
| abstract_inverted_index.approach | 151 |
| abstract_inverted_index.assessed | 29 |
| abstract_inverted_index.children | 39, 137, 293 |
| abstract_inverted_index.climate, | 90 |
| abstract_inverted_index.counties | 52, 86 |
| abstract_inverted_index.cyclones | 4, 277 |
| abstract_inverted_index.distance | 92 |
| abstract_inverted_index.eligible | 163 |
| abstract_inverted_index.estimate | 127 |
| abstract_inverted_index.evidence | 213, 245 |
| abstract_inverted_index.examined | 20 |
| abstract_inverted_index.exposure | 63 |
| abstract_inverted_index.findings | 260 |
| abstract_inverted_index.increase | 216, 248 |
| abstract_inverted_index.specific | 253 |
| abstract_inverted_index.tropical | 276 |
| abstract_inverted_index.Hurricane | 257 |
| abstract_inverted_index.KEYWORDS: | 297 |
| abstract_inverted_index.OptumLabs | 108 |
| abstract_inverted_index.aggregate | 281 |
| abstract_inverted_index.attention | 135 |
| abstract_inverted_index.children, | 273 |
| abstract_inverted_index.counties, | 178 |
| abstract_inverted_index.cyclones, | 301 |
| abstract_inverted_index.diagnosis | 42, 143 |
| abstract_inverted_index.estimate: | 231 |
| abstract_inverted_index.following | 49, 224, 252 |
| abstract_inverted_index.frequency | 34 |
| abstract_inverted_index.increased | 32 |
| abstract_inverted_index.increases | 11 |
| abstract_inverted_index.long-term | 285 |
| abstract_inverted_index.mortality | 13 |
| abstract_inverted_index.occurring | 173 |
| abstract_inverted_index.requiring | 133 |
| abstract_inverted_index.sustained | 68 |
| abstract_inverted_index.unexposed | 85, 101, 177 |
| abstract_inverted_index.windspeed | 69 |
| abstract_inverted_index.2000-2018. | 59 |
| abstract_inverted_index.BACKGROUND | 0 |
| abstract_inverted_index.Relatively | 16 |
| abstract_inverted_index.Warehouse, | 110 |
| abstract_inverted_index.associated | 7, 283 |
| abstract_inverted_index.electronic | 121 |
| abstract_inverted_index.insurance. | 296 |
| abstract_inverted_index.log-linear | 155 |
| abstract_inverted_index.morbidity. | 15 |
| abstract_inverted_index.population | 164, 291 |
| abstract_inverted_index.real-world | 113 |
| abstract_inverted_index.variables, | 89 |
| abstract_inverted_index.RESULTS:Our | 190 |
| abstract_inverted_index.detrimental | 267 |
| abstract_inverted_index.encompasses | 192 |
| abstract_inverted_index.implemented | 152 |
| abstract_inverted_index.longer-term | 22 |
| abstract_inverted_index.respiratory | 270 |
| abstract_inverted_index.consequences | 24 |
| abstract_inverted_index.exacerbation | 37, 219, 251, 286 |
| abstract_inverted_index.substantial, | 9 |
| abstract_inverted_index.de-identified | 117 |
| abstract_inverted_index.exacerbations | 132, 172 |
| abstract_inverted_index.longitudinal, | 112 |
| abstract_inverted_index.meta-analytic | 229 |
| abstract_inverted_index.substantially | 282 |
| abstract_inverted_index.administrative | 118 |
| abstract_inverted_index.meters/second, | 75 |
| abstract_inverted_index.sociodemographic | 88 |
| abstract_inverted_index.CONCLUSIONS:These | 259 |
| abstract_inverted_index.difference-in-differences | 150 |
| cited_by_percentile_year.max | 94 |
| cited_by_percentile_year.min | 89 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 5 |
| citation_normalized_percentile.value | 0.70657888 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |