The journal "Environmental Research" published a study conducted by Nguyen Thi Khanh and colleagues exploring the associations between ambient temperature, air pollution, and SARS-CoV-2 infection, as well as post-COVID-19 conditions.

The study analyzed data using a bidirectional time-stratified case-crossover design, focusing on a population of 6,302 individuals who tested positive for SARS-CoV-2, including 2,850 cases with post-COVID-19 conditions, between May 2021 and June 2022. The findings revealed that exposure to non-optimal cold temperatures increased the odds of infection and post-COVID-19 conditions, especially on days with higher air pollution levels. Non-optimal heat had a more complex relationship, sometimes increasing the odds of infection and post-COVID-19 condition development under specific conditions. The researchers utilized conditional logistic regression and distributed lag non-linear models to analyze the data, adjusting for factors such as relative humidity and particulate matter concentrations. The results suggest that cold temperatures and air pollution are significant risk factors for SARS-CoV-2 infection, underscoring the need for strategies to mitigate the effects of climate change and air pollution to reduce infection risks and the development of post-COVID-19 conditions.

The full article is available via https://www.sciencedirect.com/science/article/pii/S0013935123028700?casa_token=nFB1EcJkhXMAAAAA:hH8Y4ph6z9vimBHE7RYqQzfvms6uJg1emEUrPF7c4IsdeIGHT54cdeZAEkZfFKIrHjFGzci4jEI