Time series modelling of respiratory hospital admissions and geometrically weighted distributed lag effects from ambient particulate air pollution within Kathmandu Valley, Nepal
- Srijan Lal Shrestha
- … show all 1 hide
Rent the article at a discountRent now
* Final gross prices may vary according to local VAT.Get Access
The distributed lag effects of ambient particulate air pollution exposure on respiratory hospital admissions in Kathmandu Valley are modelled using daily time series data. The extended exposure to PM10 is accounted for by assigning weights to daily average PM10 which decline geometrically as the lag period increases in days. Results show that the percent increase in chronic obstructive pulmonary disease (COPD) hospital admissions and respiratory admissions including COPD, asthma, pneumonia, and bronchitis per 10 μg/m3 rise in PM10 are found to be 4.85% for 30 days lag effect, about 15.9% higher than that observed for same-day lag effect and 3.52% for 40 days lag effect, about 28.9% higher than the observed value for same-day lag effect, respectively.
- Cameron, A. C., & Trivedi, P. K. (1998). Regression Analysis of Count Data. UK: Cambridge University Press.
- Chow, G. C. (1983). Econometrics, International edition. Singapore: McGraw-Hill, Inc.
- Clean Energy Nepal (2003). Environment and Public Health Organization, Health Impacts of Kathmandu’s Air Pollution. Project Report, Kathmandu, Nepal.
- Dominici, F., McDermot, A., Zeger, S. L., & Samet, S. M. (2002). One the use of generalized additive models in time series studies of air pollution and health. American Journal of Epidemiology, 156, 193–203. CrossRef
- Hastie, T. J., & Tibsirani, R. J. (1990). Generalized Additive Models. USA: Chapman and Hall/CRC.
- Health Effects Institute (2004). Health Effects of Outdoor Air Pollution in Developing Countries of Asia: A Literature Review. Special report 15, USA.
- Katsouyanni, K., Touloumi, G., Samoli, E., Gryparis, A., Le Tetre, A., Monopolis, Y., et al. (2001). Confounding and effect modification in the short term effects of ambient particles on total mortality: results from 29 European cities within the APHEA2 project. Epidemiology, 12, 521–531. CrossRef
- Khanal, R. H., & Shrestha, S. L. (2006). Development of procedures and assessment of environmental burden of disease of local levels due to major environmental risk factors. Project report, Nepal Health Research Council, Kathmandu, Nepal.
- Mc Cullagh, P., & Nelder, J. A. (1989). Generalized Linear Models (2nd ed.). New York, NY: Chapman and Hall, Inc.
- Ministry of Health. (2005). Annual Report, 2003/2004, Department of Health Services. HMG, Nepal.
- Montgomery, D. C. (2003). Introduction to Linear Regression Analysis (3rd ed.). Singapore: John Wiley & Sons.
- Ostro, B. (2004). Outdoor Air Pollution, Environmental Burden of Disease Series No. 5. Geneva: World Health Organization.
- Ostro, B. D., Eskeland, G. S., Sanchez, J. M., & Feyzioglu, T. (1999b). Air pollution and health effects: a study of medical visits among children in Santiago, Chile. Environmental Health Perspectives, 107, 69–73. CrossRef
- Samet, J. M., Dominici, F., Curriero, F. C., Coursac, I., & Zeger, S. L. (2000b). Fine particulate air pollution and mortality in 20 US cities, 1987–1994. New England Journal of Medicine, 343, 1742–1749. CrossRef
- Samet, J. M., Zeger, S. L., Dominici, F., Curriero, F., Coursac, I., Dockery, D. W., et al. (2000). The National Morbidity, Mortality,and Air Pollution Study, Part II: Morbidity and Mortality from Air Pollution in the United States. USA: Health Effects Institute.
- Schwartz, J. (2000). Assessing confounding, effect modification, and threshold in association between ambient particles and daily deaths. Environmental Health Perspectives, 108, 563–568. CrossRef
- Sharma, T., Rainey, C. M., Neumann, C. M., Shrestha, I. L., Shahi, K. B., Shakya, A., et al. (2002). Roadside particulate levels at 30 locations in the Kathmandu Valley, Nepal. International Journal of Environment and Pollution, 17, 293–305. CrossRef
- Shwartz, J. (1999). Air pollution and hospital admission for heart disease in eight US counties. Epidemiology, 10, 17–22. CrossRef
- Time series modelling of respiratory hospital admissions and geometrically weighted distributed lag effects from ambient particulate air pollution within Kathmandu Valley, Nepal
Environmental Modeling & Assessment
Volume 12, Issue 3 , pp 239-251
- Cover Date
- Print ISSN
- Online ISSN
- Kluwer Academic Publishers
- Additional Links
- distributed lag effect
- geometrically declining weights
- Kathmandu Valley
- particulate air pollution
- respiratory admissions
- statistical modelling
- Author Affiliations
- 1. Central Department of Statistics, Tribhuvan University, Kirtipur, Kathmandu, Bagmati, Nepal