Association between PM2.5 and asthma patients hospital visits in Rawalpindi, Pakistan

Paper Details

Research Paper 10/10/2022
Views (416) Download (50)
current_issue_feature_image
publication_file

Association between PM2.5 and asthma patients hospital visits in Rawalpindi, Pakistan

Javairia Shabnum, Sheikh Saeed Ahmad, Mehwish Jamil Noor, Javeria Saleem
J. Bio. Env. Sci.21( 4), 42-47, October 2022.
Certificate: JBES 2022 [Generate Certificate]

Abstract

Exposure to air pollution especially PM2.5 has detrimental effect on human health especially on respiratory system. It can cause exacerbations in pre-exisiting asthma and onset new asthma as well. Asthma patient hospital visits in district Rawalpindi, Pakistan were analyzed by using kernel density estimation in ArcGIS 10.2. PM2.5 concentrations were recorded gravimetrically as well as OLI/TIRS Land Sat 8 data was processed to reveal the PM2.5 concentrations over the study area. Kernel density maps and PM2.5 concentration maps were studied to Fig. out the correlation of asthma patient hospital visits and PM2.5. Our study revealed the presence of more asthma hotspots with higher PM2.5 concentrations exceeding the national air quality standards. Therefore, PM2.5 is one of the contributing factors to the asthma prevalence in district Rawalpindi, Pakistan.

VIEWS 53

Auerbach A, Hernandezm L. 2012. The effect of environmental oxidative stress on airway inflammation. Curr Opin Allergy ClinImmunol. 12(2), 133-9. DOI: 10.1097/ACI.0b013e32835113d6. PMID: 22306553; PMCID: PMC3319111.

Feng M, Yang Z, Pan L, Lai X, Xian M, Huang X, Wong GW. 2016. Associations of Early Life Exposures and Environmental Factors With Asthma Among Children in Rural and Urban Areas of Guangdong, China. CHEST Journal. vol 149(4). p.1030-1041.

Gaffin JM, Kanchongkittiphon W, Phipatanakul W. 2014.Perinatal and early childhood environmental factors influencing allergic asthma immunopathogenesis. International Journal of Immunopharmacology. Vol 22(1),  p. 21-30.

Gavett SH, Koren HS. 2001.The role of particulate matter in excerbaton of ectopic asthma. International Archieves of Allergy and immunology. Vol 124(1-3), p.109-12.

Gorai Ak, Tuluri F, Tchounwou PB. 2014. A GIS based approach for assessing the association between air pollution and asthma in New York state, USA. International journal of environmental research and public health, vol 11(5), p. 4845-4869.

Guarnieri M, Balmes JR. 2014. Outdoor air pollution and asthma. The Lancet, Vol 383( 9928), p.1581-1592.

Iskandar A, Andersen ZJ, Bonnelykke K, Ellermann T, Andersen KK, Bisgaard H. 2012. Coarse and fine particles but not ultrafine particles in urban air trigger hospital admission for asthma in children. Thorax, vol 67, p.252-57.

Kelly JF, Fussell CF. 2012. Size, source and chemical composition as determinants of toxicity attributable to ambient particulate matter. Atmosperic Environment. Vol 60. p. 504-526.

Kim k, Jahan AS, Kabir E. 2013. A review on human health prespective of air pollution with respect to allergies and asthma. Environmental International. Vol 59. p.41-52.

Kloog I, Haim A, Portnov AB. 2009. Using kernel density function as an urban analysis tool: Investigating the association between nightlight exposure and the incidence of breast cancer in Haifa, IsraelComputers, Environment and Urban Systems. vol 33(1), P. 55-63.

Lijuan Y. 2020. A novel approach of Landsat 8 imagery to predict PM 2.5 concentrations in a south-eastern coastal city of China. IOP Conference Series: Earth and Environmental Science. Vol 619.

Mann JK, Balmes JR, Bruckner TA. 2010.Short-term effects of air pollution on wheeze in asthmatic children in Fresno, California. Environ Health Perspect, vol 118, P. 1497-502.

Meng Y-Y, Rull RP, Wilhelm M, Lombardi C, Balmes J, Ritz B. 2010. Outdoor air pollution and uncontrolled asthma in the San Joaquin Valley, California. J. of Epidemiol Community Health, vol 64, p.142-47.

Mishra KR, Agarwal A, Shukla A. 2021. Predicting Ground Level PM2.5 Concentration Over Delhi Using Landsat 8 Satellite Data. International Journal of Remote Sensing, vol 42(3), p. 827-838, DOI: 10.1080/2150704X.2020.1832279

Murad A, Khashoggi BF. 2020. Using GIS for Disease Mapping and Clustering in Jeddah, Saudi Arabia. ISPRS International Journal of Geo-Information, vol 9(5), p.328. MDPI AG. Retrieved from http://dx.doi.org/10.3390/ijgi9050328

Pawankar R, Canonica GW, Holgate ST, Lockey RF. 2012. Allergic diseases and asthma: a major global health concern. Current Opinion in Allergy and Clinical Immunology.vol 12(1), p. 39-41.

RA E. 2003. How environmental exposures influence the development and exacerbation of asthma. Pediatrics. Vol 112, P. 233-9.

Rybnikova N, Richard G, Stevens DI. Samociuk HG, Portnov AB. 2018. Kernel density analysis reveals a halo pattern of breast cancer incidence in Connecticut, Spatial and Spatio-temporal Epidemiology. Vol 26, p. 143-151,ISSN 1877-5845, https://doi.org/10.1016/j.sste.2018.06.003.

Sinharoy A, Mitra S, Mondal P. 2018. Socioeconomic and Environmental Predictors of Asthma-Related Mortality. J Environ Public Health. Vol 24, doi: 10.1155/2018/9389570. PMID: 29853926; PMCID: PMC5941796.

To T, Stanojevic S, Moores G, Gershon AS, Bateman ED, Cruz AA, Boulet LP. 2012. Global asthma prevalence in adults: findings from the cross-sectional world health survey. BMC Public Health. Vol 12(1), p.1.

Voynow JA, Auten R. 2015.Environmental Pollution and the Developing Lung. Clinical pulmonary medicine 22(4), 177-184. https://doi.org/10.1097/ cpm.0000000000000095

Wang Z, Chen L, Tao J, Zhang Y, Su L. 2010. Satellite-based estimation of regional particulate matter (PM) in Beijing using vertical-and-RH correcting method.Remote sensing of Environment. Vol 114(1), p. 50-63. DOI: 10.1016/j. rse.2009.08.009

Zafar L, Ahmad SS, Syed WAA, Ali SS. 2012. Temporal variations in nitrogen dioxide concentration due to vehicular emissions in Islamabad capital territory (ICT) & Rawalpindi. Science International Lahore. Vol 24, p. 265-268.

Zhao Y, Huang B, Marinoni A, Gamba P. 2018.High spatiotemporal resolution PM2.5 concentration estimation with satellite and ground observations: A case study in New York City. IEEE International Conference on Environmental Engineering (EE), p. 1-5.