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. 2024 Oct 9:387:e080944.
doi: 10.1136/bmj-2024-080944.

Rainfall events and daily mortality across 645 global locations: two stage time series analysis

Cheng He  1 Susanne Breitner-Busch  2   3 Veronika Huber  2   3 Kai Chen  4   5 Siqi Zhang  4   5 Antonio Gasparrini  6 Michelle Bell  7   8 Haidong Kan  9 Dominic Royé  10 Ben Armstrong  11 Joel Schwartz  12 Francesco Sera  13 Ana Maria Vicedo-Cabrera  14   15 Yasushi Honda  16 Jouni J K Jaakkola  17   18 Niilo Ryti  17 Jan Kyselý  19   20 Yuming Guo  21   22 Shilu Tong  23   24 Francesca de'Donato  25 Paola Michelozzi  25 Micheline de Sousa Zanotti Stagliorio Coelho  26 Paulo Hilario Nascimento Saldiva  27 Eric Lavigne  28   29 Hans Orru  30 Ene Indermitte  30 Mathilde Pascal  31 Patrick Goodman  32 Ariana Zeka  33 Yoonhee Kim  34 Magali Hurtado Diaz  35 Eunice Elizabeth Félix Arellano  35 Ala Overcenco  36 Jochem Klompmaker  37 Shilpa Rao  38 Alfonso Diz-Lois Palomares  38 Gabriel Carrasco  39   40 Xerxes Seposo  41 Susana das Neves Pereira da Silva  42 Joana Madureira  42   43   44 Iulian-Horia Holobaca  45 Noah Scovronick  46 Fiorella Acquaotta  47 Ho Kim  48 Whanhee Lee  49 Masahiro Hashizume  50 Aurelio Tobias  51   41 Carmen Íñiguez  52   53 Bertil Forsberg  54 Martina S Ragettli  55   56 Yue Leon Guo  57   58   59 Shih-Chun Pan  58 Samuel Osorio  60 Shanshan Li  21   22 Antonella Zanobetti  12 Tran Ngoc Dang  61 Do Van Dung  62 Alexandra Schneider  2
Affiliations

Rainfall events and daily mortality across 645 global locations: two stage time series analysis

Cheng He et al. BMJ. .

Abstract

Objective: To examine the associations between characteristics of daily rainfall (intensity, duration, and frequency) and all cause, cardiovascular, and respiratory mortality.

Design: Two stage time series analysis.

Setting: 645 locations across 34 countries or regions.

Population: Daily mortality data, comprising a total of 109 954 744 all cause, 31 164 161 cardiovascular, and 11 817 278 respiratory deaths from 1980 to 2020.

Main outcome measure: Association between daily mortality and rainfall events with return periods (the expected average time between occurrences of an extreme event of a certain magnitude) of one year, two years, and five years, with a 14 day lag period. A continuous relative intensity index was used to generate intensity-response curves to estimate mortality risks at a global scale.

Results: During the study period, a total of 50 913 rainfall events with a one year return period, 8362 events with a two year return period, and 3301 events with a five year return period were identified. A day of extreme rainfall with a five year return period was significantly associated with increased daily all cause, cardiovascular, and respiratory mortality, with cumulative relative risks across 0-14 lag days of 1.08 (95% confidence interval 1.05 to 1.11), 1.05 (1.02 to 1.08), and 1.29 (1.19 to 1.39), respectively. Rainfall events with a two year return period were associated with respiratory mortality only, whereas no significant associations were found for events with a one year return period. Non-linear analysis revealed protective effects (relative risk <1) with moderate-heavy rainfall events, shifting to adverse effects (relative risk >1) with extreme intensities. Additionally, mortality risks from extreme rainfall events appeared to be modified by climate type, baseline variability in rainfall, and vegetation coverage, whereas the moderating effects of population density and income level were not significant. Locations with lower variability of baseline rainfall or scarce vegetation coverage showed higher risks.

Conclusion: Daily rainfall intensity is associated with varying health effects, with extreme events linked to an increasing relative risk for all cause, cardiovascular, and respiratory mortality. The observed associations varied with local climate and urban infrastructure.

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Conflict of interest statement

Competing interests: All authors have completed the ICMJE uniform disclosure form at www.icmje.org/disclosure-of-interest/ and declare: Support from the Alexander von Humboldt Foundation no financial relationships with any organizations that might have an interest in the submitted work in the previous three years; no other relationships or activities that could appear to have influenced the submitted work.

Figures

Fig 1
Fig 1
Equation to calculate percentage of daily accumulated rainfall exceeding a two year return period. The return period is the expected average time between occurrences of an extreme event of a certain magnitude
Fig 2
Fig 2
Daily cumulative thresholds for extreme rainfall events in 645 locations. Analysis used the intensity-duration-frequency model across the three return periods. The return period is the expected average time between occurrences of an extreme event of a certain magnitude
Fig 3
Fig 3
Cumulative relative risks of all cause, cardiovascular, and respiratory mortality associated with exposure to extreme rainfall events with three different return periods across all locations, and by territory or region. CI=confidence interval; NA=not available
Fig 4
Fig 4
Exposure-response function of the relative risks of all cause, cardiovascular, and respiratory mortality associated with daily accumulated rainfall exceeding the two year return period threshold (PE2). The return period is the expected average time between occurrences of an extreme event of a certain magnitude

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