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PreprintCC BY-NC-NDmedRxiv

Warming, thermal variability, and the 96% decline in childhood respiratory-infection mortality in China: a national time-series analysis of the Global Burden of Disease Study 2021 and the C-LSAT high-resolution climate dataset

  1. 1National Center for Children's Health, Beijing Children's Hospital, Capital Medical University, Beijing, China

Abstract

BackgroundChildhood respiratory mortality in China has fallen by over 90% in three decades alongside sustained national warming, yet national long-run evidence on temperature and child respiratory mortality is lacking.

MethodsWe linked Global Burden of Disease (GBD) 2021 mortality estimates for China -- lower respiratory infections (LRI), ages 0-19, and asthma, ages 0-24, 1990-2021 -- with C-LSAT 0.5{degrees} gridded temperature data (1990-2019), aggregated nationally and to five climate zones. Four annual indicators (mean temperature, diurnal temperature range, seasonal amplitude, interannual variability) entered regressions of log mortality rates with Newey-West standard errors. A bootstrapped (500 resamples) quadratic model probed the minimum mortality temperature (MMT), with PM2.5-adjusted analyses and future-exposure, permutation, and detrended falsification tests.

ResultsLRI deaths fell by 96.3% (330,194 in 1990 to 12,098 in 2021; 95% uncertainty interval 9,669-14,891) and asthma deaths by 94.9% (3,287 to 167), while mean temperature rose 0.364 {degrees}C per decade and diurnal temperature range narrowed 0.092 {degrees}C per decade. Baseline coefficients were large (mean temperature -1.696, SE 0.174; diurnal temperature range +2.408, SE 0.336; seasonal amplitude -0.162, SE 0.082; interannual variability +2.924, SE 1.514, per 1 {degrees}C in log rate), but the future-exposure test failed and detrending nullified every coefficient: the associations are trend-level, and short-cycle causal effects are not identifiable. Nor was the national MMT identifiable -- observed temperature support spans only 6.66-8.13 {degrees}C, and the nominal turning point of 35.84 {degrees}C is an extrapolation artifact (quadratic term p = 0.963). Within the observed range, warming and declining mortality moved in the same direction.

ConclusionsThe 96% decline in childhood respiratory mortality cannot be attributed to warming. China sits on the low-temperature side of the optimum, and the marginal direction of future warming requires stronger designs to establish. The falsification framework offers a discipline for climate-health inference in China.

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BibTeX
@misc{li2026warming,
  title = {{Warming, thermal variability, and the 96% decline in childhood respiratory-infection mortality in China: a national time-series analysis of the Global Burden of Disease Study 2021 and the C-LSAT high-resolution climate dataset}},
  author = {D. Li and Y. Miao and Y. Zhang and H. Chen and X. Wang and C. Shen},
  howpublished = {medRxiv},
  year = {2026},
  month = aug,
  doi = {10.64898/2026.08.31.26361879},
  url = {https://www.medrxiv.org/content/10.64898/2026.08.31.26361879v1},
  note = {CC BY-NC-ND},
}
RIS
TY  - UNPB
TI  - Warming, thermal variability, and the 96% decline in childhood respiratory-infection mortality in China: a national time-series analysis of the Global Burden of Disease Study 2021 and the C-LSAT high-resolution climate dataset
AU  - D. Li
AU  - Y. Miao
AU  - Y. Zhang
AU  - H. Chen
AU  - X. Wang
AU  - C. Shen
PY  - 2026
DA  - 2026/08/31
PB  - medRxiv
DO  - 10.64898/2026.08.31.26361879
UR  - https://www.medrxiv.org/content/10.64898/2026.08.31.26361879v1
AB  - BackgroundChildhood respiratory mortality in China has fallen by over 90% in three decades alongside sustained national warming, yet national long-run evidence on temperature and child respiratory mortality is lacking.  MethodsWe linked Global Burden of Disease (GBD) 2021 mortality estimates for China -- lower respiratory infections (LRI), ages 0-19, and asthma, ages 0-24, 1990-2021 -- with C-LSAT 0.5{degrees} gridded temperature data (1990-2019), aggregated nationally and to five climate zones. Four annual indicators (mean temperature, diurnal temperature range, seasonal amplitude, interannual variability) entered regressions of log mortality rates with Newey-West standard errors. A bootstrapped (500 resamples) quadratic model probed the minimum mortality temperature (MMT), with PM2.5-adjusted analyses and future-exposure, permutation, and detrended falsification tests.  ResultsLRI deaths fell by 96.3% (330,194 in 1990 to 12,098 in 2021; 95% uncertainty interval 9,669-14,891) and asthma deaths by 94.9% (3,287 to 167), while mean temperature rose 0.364 {degrees}C per decade and diurnal temperature range narrowed 0.092 {degrees}C per decade. Baseline coefficients were large (mean temperature -1.696, SE 0.174; diurnal temperature range +2.408, SE 0.336; seasonal amplitude -0.162, SE 0.082; interannual variability +2.924, SE 1.514, per 1 {degrees}C in log rate), but the future-exposure test failed and detrending nullified every coefficient: the associations are trend-level, and short-cycle causal effects are not identifiable. Nor was the national MMT identifiable -- observed temperature support spans only 6.66-8.13 {degrees}C, and the nominal turning point of 35.84 {degrees}C is an extrapolation artifact (quadratic term p = 0.963). Within the observed range, warming and declining mortality moved in the same direction.  ConclusionsThe 96% decline in childhood respiratory mortality cannot be attributed to warming. China sits on the low-temperature side of the optimum, and the marginal direction of future warming requires stronger designs to establish. The falsification framework offers a discipline for climate-health inference in China.
ER  -