The impact of air pollution on influenza incidence in high-altitude regions: a time-stratified case-crossover study based on Qinghai Province.

Background: The unique characteristics of air pollution in high-altitude regions may significantly influence the transmission and incidence of influenza. However, current research on this phenomenon is limited, and further investigation is urgently needed.

Methods: This study collected influenza outpatient data from Qinghai Province between January 1, 2016, and December 31, 2021.

The interactive effect of extreme weather events and PM on respiratory health among the elderly: a case-crossover study in a high-altitude city.

With climate change posing increasing threats and aging populations, understanding the complex relationship between extreme temperatures, PM pollution, and respiratory health among the elderly is crucial. While some research exists, there remains a significant gap in studying the combined effects of heat waves, cold spells, and PM on elderly respiratory health in high-altitude regions. We collected data from Xining (2016-2021), including respiratory disease outpatient visits, meteorological, and pollutant data.

High altitude air pollution and respiratory disease: Evaluating compounded exposure events and interactions.

Today, air pollution remains a significant issue, particularly in high-altitude areas where its impact on respiratory disease remains incompletely explored. This study aims to investigate the association between various air pollutants and outpatient visits for respiratory disease in such regions, specifically focussing on Xining from 2016 to 2021. By analysing over 570,000 outpatient visits using a time-stratified case-crossover design and conditional logistic regression, we assessed the independent effects of pollutants like PM, PM, SO, NO, and CO, as well as their interactions.

Effects of combined exposure to fine particulate matter and cold waves and on IHD hospitalizations at low and high altitudes.

Climate change and air pollution are major challenges facing the world today. Cold waves and air pollution significantly impact ischemic heart disease (IHD), but the extent of these effects at different altitudes remains unclear, especially their interactions. We collected daily meteorological, pollutant, and IHD hospitalization data from Xining and Xinxiang from 2016 to 2021.

Effects of the interaction between cold spells and fine particulate matter on mortality risk in Xining: a case-crossover study at high altitude.

Background: With global climate change, the health impacts of cold spells and air pollution caused by PM are increasingly aggravated, especially in high-altitude areas, which are particularly sensitive. Exploring their interactions is crucial for public health.

Methods: We collected time-series data on meteorology, air pollution, and various causes of death in Xining.

Cold waves and fine particulate matter in high-altitude Chinese cities: assessing their interactive impact on outpatient visits for respiratory disease.

Background: Extreme weather events like heatwaves and fine particulate matter (PM) have a synergistic effect on mortality, but research on the synergistic effect of cold waves and PM on outpatient visits for respiratory disease, especially at high altitudes in climate change-sensitive areas, is lacking.

Methods: we collected time-series data on meteorological, air pollution, and outpatient visits for respiratory disease in Xining. We examined the associations between cold waves, PM, and outpatient visits for respiratory disease using a time-stratified case-crossover approach and distributional lag nonlinear modeling.

Health impacts of a cold wave and its economic loss assessment in China's high-altitude city, Xining.

Objective: Amidst climate change, extensive research has centered on the health impacts of heatwaves, yet the consequences of cold spells, particularly in cooler, higher-altitude regions, remain under-explored.

Methods: Analyzing climatic data and non-accidental mortality in Xining, China's second-highest provincial capital, from 2016 to 2020, this study defines cold spells as daily mean temperatures below the 10th, 7.5th, or 5th percentiles for 2-4 consecutive days.