Abstract:
Artificial Neural Network (ANN) models were developed and applied in order to predict the total weekly number of Childhood Asthma Admission (CAA) at the greater Athens area (GAA) in Greece. Hourly meteorological data from the National Observatory of Athens and ambient air pollution data from seven different areas within the GAA for the period 2001-2004 were used. Asthma admissions for the same period were obtained from hospital registries of the three main Children's Hospitals of Athens. Three different ANN models were developed and trained in order to forecast the CAA for the subgroups of 0-4, 5-14-year olds, and for the whole study population. The results of this work have shown that ANNs could give an adequate forecast of the total weekly number of CAA in relation to the bioclimatic and air pollution conditions. The forecasted numbers are in very good agreement with the observed real total weekly numbers of CAA. © 2012 Taylor & Francis.
Notes:
Cited By :3Export Date: 2 November 2015CODEN: IJERECorrespondence Address: Douros, K.; 3rd Pediatric Department, Medical School, University of Athens, Athens, Greece; email:
costasdouros@gmail.comChemicals/CAS: carbon monoxide, 630-08-0; nitrogen dioxide, 10102-44-0; ozone, 10028-15-6; sulfur dioxide, 7446-09-5; Air Pollutants; Carbon Monoxide, 630-08-0; Nitrogen Dioxide, 10102-44-0; Ozone, 10028-15-6; Particulate Matter; Sulfur Dioxide, 7446-09-5References: Badjate, S.L., Dudul, S.V., Multi step ahead prediction of North and South hemisphere sun spots chaotic time series using focused time lagged recurrent neural network model (2009) WSEAS Trans Infor Sci Appl., 6, pp. 684-693;Barnett, A.G., Williams, G.M., Schwartz, J., Neller, A.H., Best, T.L., Petroeschevsky, A.L., Simpson, R.W., Air pollution and child respiratory health. A case-crossover study in Australia and New Zealand (2005) Am J Resp Crit Care., 171, pp. 1272-1278;
Basheer, I.A., Hajmeer, M., Artificial neural networks: Fundamentals, computing, design, and application (2000) J Microbiol Meth., 43, pp. 3-31;
Blaisdell, C.J., Weiss, S.R., Kimes, D.S., Levine, E.R., Myers, M., Timmins, S., Bollinger, M.E., Using seasonal variations in asthma hospitalizations in children to predict hospitalization frequency (2002) J Asthma, 39, pp. 567-575;
Celenza, A., Fothergill, J., Kupek, E., Shaw, R.J., Thunderstorm-associated asthma: A detailed analysis of environmental factors (1996) BMJ, 312, pp. 604-607;
Comrie, A.C., Comparing neural networks and regression models for ozone forecasting (1997) J Air Waste Manage., 47, pp. 653-663;
Crighton, E.J., Mamdani, M.M., Upshur, R.E.G., A population based time series analysis of asthma hospitalizations in Ontario, Canada: 1988 to 2000 (2001) BMC Health Serv Res., 1, pp. 1-6;
Limit values of sulphur dioxide, nitrogen dioxide and oxides of nitrogen, particulate matter and lead in ambient air (1999) Off J Eur Comm., L163, pp. 41-60. , EC Council Directive 1999/30/EC (29.6.1999);
Limit values for benzene and carbon monoxide in ambient air (2000) Off J Eur Comm., L313, pp. 12-22. , EC Council Directive 2000/69/EC of the European Parliament and the Council (13.12.2000);
Ozone in ambient air (2002) Off J Eur Comm., L67, pp. 14-31. , EC Council Directive 2002/3/EC of the European Parliament and the Council (9.3.2002);
On ambient air quality assessment and management (1996) Off J Eur Comm., L296, pp. 55-63. , EC Council Directive 96/62/EC (21.11.1996);
Frize, M., Ennett, C.M., Stevenson, M., Trigg, H.C.E., Clinical decision support systems for intensive care units: Using artificial neural networks (2001) Med Eng Phys., 23, pp. 217-225;
Garty, B.Z., Kosman, E., Ganor, E., Berger, V., Garty, L., Wietzen, T., Waisman, Y., Waisel, Y., Emergency room visits of asthmatic children, relation to air pollution, weather, and airborne allergens (1998) Ann Allergy Asthma Immunol., 81, pp. 563-570;
Grech, V., Balzan, M., Asciak, R.P., Buhagiar, A., Seasonal variations in hospital admissions for asthma in Malta (2002) J Asthma, 39, pp. 263-268;
Grossi, E., Buscema, M., Introduction to artificial neural networks (2007) Eur J Gastroenterol Hepatol., 19, pp. 1046-1054;
Gunhan, T., Demir, V., Hancioglu, E., Hepbasli, A., Mathematical modelling of drying of bay leaves (2005) Energy Conversion Manage, 46, pp. 1667-1679;
Hoppe, P.R., The physiological equivalent temperature - A universal index for the biometeorological assessment of the thermal environment (1999) Int J Biometeorol., 43, pp. 71-75;
Ivey, M.A., Simeon, D.T., Monteil, M.A., Meteorological variables are associated with acute asthma seasonal admissions to accident and emergency room facilities in trinidad, west indies (2003) Clin Exp Allergy, 33, pp. 1526-1530;
Jalaludin, B.B., O'Toole, B.I., Leedor, S.R., Acute effects of urban ambient air pollution on respiratory symptoms, asthma medication use, and doctor visits for asthma in a cohort of Australian children (2004) Environ Res., 95, pp. 32-42;
Johnston, N.W., Johnston, S.L., Duncan, J.M., Greene, J.M., Kebadze, T., Keith, P.K., Roy, M., Sears, M.R., The september epidemic of asthma exacerbations in children: A search for etiology (2005) J Allergy Clin Immunol., 115, pp. 132-138;
Jones, S.S., Thomas, A., Evans, S.R., Welch, S.J., Haug, P.J., Snow, G.L., Forecasting daily patient volumes in the emergency department (2008) Acad Emerg Med., 15, pp. 159-170;
Kale, S.N., Dudul, S.V., Intelligent noise removal from EMG signal using focused time-lagged recurrent neural network (2009) Appl Computat Intel Soft Computing, , Article ID 29761, doi:10.1155/2009/129761, 12;
Kassomenos, P., Papaloukas, C., Petrakis, M., Karakitsios, S., Assessment and prediction of short term hospital admissions: The case of athens (2008) Greece. Atmos Environ., 42, pp. 7078-7086;
Khetsuriani, N., Kazerouni, N.N., Erdman, D.D., Lu, X., Redd, S.C., Anderson, L.J., Teague, W.G., Prevalence of viral respiratory tract infections in children with asthma (2007) J Allergy Clin Immunol., 119, pp. 314-321;
Kolehmainen, M., Martikainen, H., Ruuskanen, J., Neural networks and periodic components used in air quality forecasting (2001) Atmos Environ., 35, pp. 815-825;
Krogh, A., What are artificial neural networks? (2008) Nat Biotechnol., 26, pp. 195-197;
Lee, S.L., Wong, W.H.S., Lau, Y.L., Association between air pollution and asthma admission among children in Hong Kong (2006) Clin Exp Allergy, 36, pp. 1138-1146;
Leegon, J., Jones, I., Lanaghan, K., Aronsky, D., Predicting hospital admission in a pediatric emergency department using an artificial neural network (2006) Proc Am Med Informat Assoc Symp., p. 1004. , 2006;
Lin, S., Liu, X., Le, L.H., Hwang, S., Chronic exposure to ambient ozone and asthma hospital admissions among children (2008) Environ Health Perspect, 116, pp. 1725-1730;
Matzarakis, A., Mayer, H., (1996) Another Kind of Environmental Stress: Thermal Stress, pp. 7-10. , WHO Collaborating Centre for Air Quality Management and Air Pollution Control. Newsletters No. 18;
Matzarakis, A., Mayer, H., Iziomon, M., Applications of a universal thermal index: Physiological equivalent temperature (1999) Int J Biometeorol., 43, pp. 76-84;
Matzarakis, A., Nastos, P.T., Human-biometeorological assessment of heat waves in athens (2011) Theor Appl Climatol., 105, pp. 99-106;
Matzarakis, A., Rutz, F., Mayer, H., Modelling radiation fluxes in simple and complex environments - Basics of the RayMan model (2010) Int J Biometeorol., 54, pp. 131-139;
Mayer, H., Hoppe, P., Thermal comfort of man in different urban environments (1987) Theor Appl Climatol, 38, pp. 3-49;
Mireku, N., Wang, Y., Ager, J., Reddy, R.C., Baptist, A.P., Changes in weather and the effects on pediatric asthma exacerbations (2009) Ann Allergy Asthma Immunol., 103, pp. 220-224;
Moore, K., Neugebauer, R., Lurmann, F., Hall, J., Brajer, V., Alcorn, S., Tager, I., Ambient ozone concentrations cause increased hospitalizations for asthma in children: An 18-year study in Southern California (2008) Environ Health Perspect, 116, pp. 1063-1070;
Moustris, K., Ziomas, I.C., Paliatsos, A.G., Three-day-ahead forecasting of regional pollution index for the pollutants NO 2, CO, SO 2 and O 3 using artificial neural networks in athens, greece (2010) Water Air Soil Poll, 209, pp. 29-43;
Nastos, P.T., Matzarakis, A., Variability of tropical days over greece within the second half of the twentieth century (2008) Theor Appl Climatol., 93, pp. 75-89;
Nastos, P.T., Paliatsos, A.G., Anthracopoulos, M.B., Roma, E.S., Priftis, K.N., Outdoor particulate matter and childhood asthma admissions in athens, greece: A time-series study (2010) Environ Health, 28 (9), p. 45;
Nastos, P.T., Paliatsos, A.G., Papadopoulos, M., Bakoula, C., Priftis, K.N., The effect of weather variability on pediatric asthma admissions in athens, greece (2008) J Asthma, 45, pp. 59-65;
Nastos, P.T., Paliatsos, A.G., Priftis, K.N., Kaldellis, J.K., Panagiotopoulou-Gartagani, P., Tapratzi-Potamianou, P., Zachariadi-Xypolita, A., Saxoni-Papageorgiou, P., The effect of weather types on the frequency of childhood asthma admissions in athens, greece (2006) Fresen Environ Bull., 15, pp. 936-942;
Neidell, M.J., Air pollution, health, and socio-economic status: The effect of outdoor air quality on childhood asthma (2004) J Health Econ., 23, pp. 1209-1236;
Olenec, J.P., Kim, W.K., Lee, W.M., Vang, F., Pappas, T.E., Salazar, L.E., Evans, M.D., Gern, J.E., Weekly monitoring of children with asthma for infections and illness during common cold seasons (2010) J Allergy Clin Immunol., 125, pp. 1001-1006;
Ostro, B., Roth, L., Malig, B., Marty, M., The effects of fine particle components on respiratory hospital admissions in children (2009) Environ Health Perspect, 117, pp. 475-480;
Ostro, B.D., Eskeland, G.S., Sanchez, J.M., Feyzioglu, T., Air pollution and health effects: A study of medical visits among children in santiago, Chile (1999) Environ Health Perspect, 107, pp. 69-73;
Paliatsos, A.G., Priftis, K.N., Ziomas, I.C., Panagiotopoulou-Gartagani, P., Tapratzi-Potamianou, P., Zachariadi-Xypolita, A., Nicolaidou, P., Saxoni-Papageorgiou, P., Association between ambient air pollution and childhood asthma in athens, greece (2006) Fresen Environ Bull, 15, pp. 614-618;
Priftis, K., Anagnostakis, J., Harokopos, E., Orfanou, I., Petraki, M., Saxoni-Papageorgiou, P., Time trends and seasonal variation in hospital admissions for childhood asthma in the athens region of greece: 1978-88 (1993) Thorax, 48, pp. 1168-1169;
Roberts, G., Hurley, C., Bush, A., Lack, G., Longitudinal study of grass pollen exposure, symptoms, and exhaled nitric oxide in childhood seasonal allergic asthma (2004) Thorax., 59, pp. 752-756;
(1998) VDI 3787, Part I: Environmental Meteorology: Methods for the Human-biometeorological Assessment of Climate and Air Hygiene for Urban and Regional Planning at a Regional Level. Part I: Climate, , VDI Beuth, Berlin;
Walker, S.-E., Slordal, H.L., Guerreiro, C., Gram, F., Grønskei, E.K., Air pollution exposure monitoring and estimation. Part II: Model evaluation and population exposure (1999) J Environ Monit., 1, pp. 321-326;
(2006) Asthma (fact Sheet No. 307), ,
http://www.who.int/mediacentre/factsheets/fs307/en/index.html, the website;
Willmott, C.J., Ackleson, S.G., Davis, R.E., Feddema, J.J., Klink, K.M., Legates, D.R., O'Donnell, J., Rowe, C., Statistics for the evaluation and comparison of models (1985) J Geophys Res., 90, pp. 8995-9005;
Willmott, C.J., Some comments on the evaluation of model performance (1982) Bull Am Meteorol Soc., 63, pp. 1309-1313
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