Evidence map›Paper›PMID 42577474›Full record

ArticleFrontiers in public health2026

COVID-19 social interventions were associated with amplified, not attenuated, indoor source pollutant-respiratory health associations: a six-year time-series analysis in Xi'an, China.

Shikang Liu, Zhaozhao Hui, Wen Zhang, Luping Chen, Mingxu Wang

Abstract read
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Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Shikang LiuThe First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Zhaozhao HuiSchool of Public Health, Xi'an Jiaotong University, Xi'an, China.
Wen ZhangThe First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Luping ChenThe First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Mingxu WangSchool of Public Health, Xi'an Jiaotong University, Xi'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The COVID-19 pandemic triggered unprecedented social interventions that altered ambient air quality, population behavior, and healthcare-seeking. Whether these interventions modified the short-term association between air pollutants and respiratory health, and in which direction, remains unclear. Methods: We conducted a time-series study of daily respiratory outpatient visits (ICD-10: J00-J99, R04-R07, and R09) from a tertiary hospital in Xi'an, China, from January 2020 to December 2025. The study period was stratified into three COVID-19 phases: strict control (2020-2022), transition (Jan-Jun 2023), and post-pandemic (Jul 2023-2025). Generalized additive models with quasi-Poisson regression evaluated associations between PM2.5, SO2, NO2, and O3 and outpatient visits, adjusting for meteorological confounders, temporal trends, and phase. Pollutant-by-phase interaction terms tested for effect modification. Results: A total of 2,052,777 respiratory outpatient visits were recorded over 2,192 days. In full-period models, SO2 (lag4: ER = 9.11, 95% CI: 3.86-14.64%) and NO2 (lag5: ER = 2.72, 95% CI: 2.05-3.40%) showed the strongest associations. Phase-stratified analysis showed that the SO2 association was stronger during the strict control period (ER = 18.40, 95% CI: 10.29-27.11%) than the post-pandemic period (ER = 2.91, 95% CI: -4.82-11.28%), and the NO2 association followed the same pattern (3.07% vs. 1.31%). Formal interaction tests supported this gradient (SO2 × phase Conclusion: Contrary to the assumption that lockdowns would uniformly attenuate pollution-health effects, the health associations of combustion-source pollutants (SO2, NO2) in Xi'an were consistently stronger during strict COVID-19 control than the post-pandemic period, though formal interaction tests did not reach statistical significance. This pattern is consistent with, but does not confirm, an indoor exposure amplification mechanism in which prolonged home confinement increased cumulative exposure to residential heating emissions. These findings should be regarded as hypothesis-generating and indicate that reduced outdoor air pollution does not automatically translate into reduced health risk when population behavior changes substantially.

Indexed as

Air PollutantsAir Pollution, IndoorCOVID-19Respiratory Tract DiseasesChinaHumansNitrogen DioxideOzoneParticulate MatterSARS-CoV-2Sulfur DioxideAir PollutantsNitrogen DioxideOzoneParticulate MatterSulfur Dioxideair pollutionair quality health indexCOVID-19generalized additive modelnatural experimentrespiratory diseasestime-series analysisXi’an

Identifiers

PMID42577474
PMCPMC13454252

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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.