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Air Pollution and Public Health: A Multi-City Assessment of PM₂.₅ Exposure in Punjab, Pakistan

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Particulate matter, particularly PM₂.₅ continues to be a critical determinant of the global disease burden, underscoring the scale of exposure and the multifaceted processes through which it affects human health. In Pakistan, particularly the Punjab province, fast-growing urbanization and industrialization has dramatically intensified PM₂.₅ load, with many metropolitan cities consistently surpassing WHO air quality guidelines. This study aims to examine the persuasive relationship between PM₂.₅ exposure and associated health impacts across five major cities including Lahore, Faisalabad, Rawalpindi, Multan and Rahim Yar Khan. Integrating NASA MERRA-2 satellite derived PM₂.₅ data (January 2015–July 2025) with hospital health records, this study performed a time series epidemiological analysis to quantify the impact of PM₂.₅ on morbidity and mortality from respiratory, cardiovascular, and allergic diseases across multiple urban centers. Demographic factors including gender and age group have also been considered for evaluating vulnerable populations. Results indicate a positive correlation between escalating PM₂.₅ concentrations and respiratory (r = 0.33), cardiovascular (r = 0.46), and allergies (r = 0.44) diseases, with pediatric and older being more susceptible. Although significance dip in PM₂.₅ levels was observed during COVID-19 period, the disease incidence continued to surge with a little decline during lockdown months displaying just a short-term fluctuation. Findings underscore the pressing need for consolidated, data-driven approaches including strict air quality regulations, healthcare system strengthening and sustainable city development strategies. Ultimately, this study will contribute to the current understanding of environmental and public health, providing a foundation for future research and policy interventions aimed at safeguarding populations from the health impacts of particulate matter.
Title: Air Pollution and Public Health: A Multi-City Assessment of PM₂.₅ Exposure in Punjab, Pakistan
Description:
Particulate matter, particularly PM₂.
₅ continues to be a critical determinant of the global disease burden, underscoring the scale of exposure and the multifaceted processes through which it affects human health.
In Pakistan, particularly the Punjab province, fast-growing urbanization and industrialization has dramatically intensified PM₂.
₅ load, with many metropolitan cities consistently surpassing WHO air quality guidelines.
This study aims to examine the persuasive relationship between PM₂.
₅ exposure and associated health impacts across five major cities including Lahore, Faisalabad, Rawalpindi, Multan and Rahim Yar Khan.
Integrating NASA MERRA-2 satellite derived PM₂.
₅ data (January 2015–July 2025) with hospital health records, this study performed a time series epidemiological analysis to quantify the impact of PM₂.
₅ on morbidity and mortality from respiratory, cardiovascular, and allergic diseases across multiple urban centers.
Demographic factors including gender and age group have also been considered for evaluating vulnerable populations.
Results indicate a positive correlation between escalating PM₂.
₅ concentrations and respiratory (r = 0.
33), cardiovascular (r = 0.
46), and allergies (r = 0.
44) diseases, with pediatric and older being more susceptible.
Although significance dip in PM₂.
₅ levels was observed during COVID-19 period, the disease incidence continued to surge with a little decline during lockdown months displaying just a short-term fluctuation.
Findings underscore the pressing need for consolidated, data-driven approaches including strict air quality regulations, healthcare system strengthening and sustainable city development strategies.
Ultimately, this study will contribute to the current understanding of environmental and public health, providing a foundation for future research and policy interventions aimed at safeguarding populations from the health impacts of particulate matter.

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