Evidence map›Paper›PMID 38252630›Full record

ArticlePLoS medicine2024

Tropical cyclone-specific mortality risks and the periods of concern: A multicountry time-series study.

Wenzhong Huang, Zhengyu Yang, Yiwen Zhang, Thomas Vogt, Ben Armstrong, Wenhua Yu, Rongbin Xu, Pei Yu, Yanming Liu, Antonio Gasparrini and 14 more

Abstract read
In one paragraph

Article in PLoS medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
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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

24 authors.

Wenzhong HuangClimate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.ORCID https://orcid.org/0000-0001-8871-1947
Zhengyu YangClimate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.ORCID https://orcid.org/0000-0001-7291-4475
Yiwen ZhangClimate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.ORCID https://orcid.org/0000-0001-9570-4147
Thomas VogtPotsdam Institute for Climate Impact Research, Potsdam, Germany.ORCID https://orcid.org/0000-0002-2135-4436
Ben ArmstrongDepartment of Public Health Environments and Society, London School of Hygiene & Tropical Medicine, London, United Kingdom.ORCID https://orcid.org/0000-0003-4407-0409
Wenhua YuClimate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.
Rongbin XuClimate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.ORCID https://orcid.org/0000-0003-1906-8614
Pei YuClimate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.
Yanming LiuClimate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.ORCID https://orcid.org/0000-0001-8599-7118
Antonio GasparriniDepartment of Public Health Environments and Society, London School of Hygiene & Tropical Medicine, London, United Kingdom.ORCID https://orcid.org/0000-0002-2271-3568
Samuel HundessaClimate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.
Eric LavigneEnvironmental Health Science and Research Bureau, Health Canada, Ottawa, Canada.
Tomas MolinaDepartment Applied Physics, Universitat de Barcelona, Barcelona, Spain.
Tobias GeigerDeutscher Wetterdienst (DWD), Regional Climate Office Potsdam, Potsdam, Germany.
Yue Leon GuoDepartment of Environmental and Occupational Medicine, National Taiwan University (NTU) and NTU Hospital, Taipei, Taiwan.ORCID https://orcid.org/0000-0002-8530-4809
Christian OttoPotsdam Institute for Climate Impact Research, Potsdam, Germany.
Simon HalesDepartment of Public Health, University of Otago, Wellington, New Zealand.
Farnaz PourzandDepartment of Public Health, University of Otago, Wellington, New Zealand.
Shih-Chun PanNational Institute of Environmental Health Sciences, National Health Research Institutes, Miaoli, Taiwan.ORCID https://orcid.org/0000-0003-2362-3940
Ke JuClimate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.
Elizabeth A RitchieSchool of Earth Atmosphere and Environment, Monash University, Melbourne, Australia.ORCID https://orcid.org/0000-0002-3413-5830
Shanshan LiClimate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.
Yuming GuoClimate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.ORCID https://orcid.org/0000-0002-1766-6592
MCC Collaborators

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMore intense tropical cyclones (TCs) are expected in the future under a warming climate scenario, but little is known about their mortality effect pattern across countries and over decades. We aim to evaluate the TC-specific mortality risks, periods of concern (POC) and characterize the spatiotemporal pattern and exposure-response (ER) relationships on a multicountry scale. METHODS AND

findingsDaily all-cause, cardiovascular, and respiratory mortality among the general population were collected from 494 locations in 18 countries or territories during 1980 to 2019. Daily TC exposures were defined when the maximum sustained windspeed associated with a TC was ≥34 knots using a parametric wind field model at a 0.5° × 0.5° resolution. We first estimated the TC-specific mortality risks and POC using an advanced flexible statistical framework of mixed Poisson model, accounting for the population changes, natural variation, seasonal and day of the week effects. Then, a mixed meta-regression model was used to pool the TC-specific mortality risks to estimate the overall and country-specific ER relationships of TC characteristics (windspeed, rainfall, and year) with mortality. Overall, 47.7 million all-cause, 15.5 million cardiovascular, and 4.9 million respiratory deaths and 382 TCs were included in our analyses. An overall average POC of around 20 days was observed for TC-related all-cause and cardiopulmonary mortality, with relatively longer POC for the United States of America, Brazil, and Taiwan (>30 days). The TC-specific relative risks (RR) varied substantially, ranging from 1.04 to 1.42, 1.07 to 1.77, and 1.12 to 1.92 among the top 100 TCs with highest RRs for all-cause, cardiovascular, and respiratory mortality, respectively. At country level, relatively higher TC-related mortality risks were observed in Guatemala, Brazil, and New Zealand for all-cause, cardiovascular, and respiratory mortality, respectively. We found an overall monotonically increasing and approximately linear ER curve of TC-related maximum sustained windspeed and cumulative rainfall with mortality, with heterogeneous patterns across countries and regions. The TC-related mortality risks were generally decreasing from 1980 to 2019, especially for the Philippines, Taiwan, and the USA, whereas potentially increasing trends in TC-related all-cause and cardiovascular mortality risks were observed for Japan.

conclusionsThe TC mortality risks and POC varied greatly across TC events, locations, and countries. To minimize the TC-related health burdens, targeted strategies are particularly needed for different countries and regions, integrating epidemiological evidence on region-specific POC and ER curves that consider across-TC variability.

Indexed as

Cyclonic StormsRespiratory Tract DiseasesBrazilClimateHumansJapanUnited States

Identifiers

PMID38252630
PMCPMC10843109

What OpenQuestion holds

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Registered trials

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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.