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A model to forecast the risk periods of Plantago pollen allergy by using the ANN methodology

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Abstract

Some biological particles present in the atmosphere, such as pollen grains, give rise to human health problems, allergies, and infections. In view of the recognized special allergenic ability of Plantago pollen grains, a model based on an artificial neural network (ANN) was developed in this work in order to forecast the Plantago airborne pollen concentration. The proposed model uses data from Plantago pollen and the main meteorological variables recorded during 16 years (1993–2008) in the city of Ourense (northwest Spain). Its accuracy was tested during the years 2009 and 2010 with a prediction horizon of 2 days in advance. The model was applied in the atmosphere of the city of Ourense (Spain). Obtained results show that ANN model provides good results against other classical mathematical methodologies, which do not convergence so well. The forecasted pollen concentrations here are applied to allergology because they allow taking into account preventive measures in risk pollinosis suffers population.

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References

  • Andersen, T. B. (1991). A model to predict the beginning of the pollen season. Grana, 30, 269–275.

    Article  Google Scholar 

  • Arenas, L., González de la Cuesta, C., Tabarés, J. M., Iglesias, I., Jato, V., & Méndez, J. (1996). Sensibilización cutánea a pólenes en pacientes afectos de rinoconjuntivitis-asma en la población de Ourense en el año 1994–1995. In Proceedings of the 1st European Symposium on Aerobiology (93–94).

  • Arizmendi, C. M., Sánchez, J. R., Ramos, N. E., & Ramos, G. J. (1993). Time series predictions with neural sets: Application to airborne pollen forecasting. International Journal of Biometeorology, 37, 139–144.

    Article  Google Scholar 

  • Asero, R., Mistrello, G., Roncarolo, D., & Casarini, M. (2000). Detection of allergens in plantain (Plantago lanceolata) pollen. Allergy, 55, 1059–1062.

    Article  CAS  Google Scholar 

  • Astray, G., Galvez, J. F., Mejuto, J. C., Moldes, O. A., & Montoya, I. A. (2013a). Esters flash point prediction using artificial neural networks. Journal of Computational Chemistry, 34(5), 355–359.

    Article  CAS  Google Scholar 

  • Astray, G., Iglesias-Otero, M. A., Moldes, O. A., & Mejuto, J. C. (2013b). Predicting critical Micelle concentration values of non-ionic surfactants by using artificial neural network. Tenside, Surfactants, Detergents, 50(2), 118–124.

    Article  CAS  Google Scholar 

  • Belmonte, J., Roure, J. M., & March, X. (1998). Aerobiology of Vigo, North-Western Spain: Atmospheric pollen spectrum and annual dynamics of the most important taxa, and their clinical importance for allergy. Aerobiologia, 14, 155–163.

    Article  Google Scholar 

  • Blanco, B., Camazón, B., Valencia, R., Vega, A., Asturias, J., & Fernández González, D. (2008). Plantago sensitisation in León city (NW Spain). Allergy, 63(Supplement 88), 549.

    Google Scholar 

  • Bricchi, E., Frenguelli, G., Mincigrucci, G., Fornaciari, M., Ferranti, F., & Romano, B. (1995). Time linkages between pollination onsets of different taxa over an 11-year period in Perugia, Central Italy. Aerobiologia, 11, 57–61.

    Article  Google Scholar 

  • Calabozo, B., Barber, D., & Polo, F. (2001). Purification and characterization of the main allergen of Plantago lanceolata pollen, Pla l 1. Clinical and Experimental Allergy, 2, 322–330.

    Article  Google Scholar 

  • Carretero, P., Juste Picón, S., García González, F., Alloza Gómez, P., Pérez Giménez, R., Blanco Carmona, J., et al. (2005). Pólenes alergénicos y polinosis en la ciudad de Burgos. Alergología e Inmunología Clínica, 20, 90–94.

    Google Scholar 

  • Castellano-Méndez, M., Aira, M. J., Iglesias, I., Jato, V., & González-Manteiga, W. (2005). Artificial neural networks as a useful tool to predict the risk level of Betula pollen in the air. International Journal of Biometeorology, 49, 310–316.

    Article  Google Scholar 

  • Chuine, I., & Belmonte, J. (2004). Improving prophylaxis for pollen allergies: Predicting the time course of the pollen load of the atmosphere of major allergenic plants in Europe. Grana, 43, 1–17.

    Article  Google Scholar 

  • Cid, A., Astray, G., Manso, J. A., Mejuto, J. C., & Moldes, O. A. (2011). Artificial intelligence for electrical percolation of aot-based microemulsions prediction. Tenside Surfactants and Detergents, 48(6), 477–483.

    Article  CAS  Google Scholar 

  • Cotos-Yañez, T. R., Rodríguez-Rajo, F. J., & Jato, V. (2004). Short-term prediction of Betula airborne pollen concentration in Vigo (NW Spain) using logistic additive models and partially linear models. International Journal of Biometeorology, 48, 179–185.

    Article  Google Scholar 

  • Detandt, M., & Nolard, N. (1991). Allergenic pollen and pollinosis in Belgium. In G. D´Amato, F. T. H. Spieksma, & S. Bonini (Eds.), Allergenic pollen and pollinosis in Europe. Oxford: Blackwell.

    Google Scholar 

  • Feo Brito, F., Galindo Bonilla, P. A., García Rodríguez, R., Gómez Torrijos, E., Fernández, Martínez F., Fernández Pacheco, R., et al. (1998). Pólenes alergénicos en Ciudad Real: Aerobiología e incidencia clínica. Revista de Alergología e Inmunología Clínica, 13(2), 79–85.

    Google Scholar 

  • Ferreiro, M., Dopazo Martínez, A., & Aira, M. J. (2002). Incidence of pollinosis in the city of A Coruña. Correlation whit aerobiological data. Journal of Investigational Allergology and Clinical Immunology, 12(1), 28–33.

    Google Scholar 

  • Galan, C., Cariñanos, P., Alcazar, P., & Dominguez, E. (2007). Spanish aerobiology network: Management and quality manual. University of Córdoba.

  • García Ortiz, J. C., Cosmes Martín, P., & López, A. (1995). Melon sensitivity shares allergens with Plantago and grass pollens. Allergy, 50, 269–273.

    Article  Google Scholar 

  • González Minero, F. J., Iglesias, I., Jato, V., Aira, M. J., Candau, P., Morales, J., et al. (1998). Study of pollen emissions of Urticaceae, Plantaginaceae and Poaceae at five sites in western Spain. Aerobiologia, 14(2–3), 117–129.

    Article  Google Scholar 

  • Gonzalez-Parrado, Z., Fernandez-Gonzalez, D., Camazon, B., Valencia-Barrera, R. M., Vega-Maray, A. M., Asturias, J. A., et al. (2014a). Molecular aerobiology Plantago allergen Pla l 1 in the atmosphere. Annals of Agricultural and Environmental Medicine, 21, 82–289.

    Article  Google Scholar 

  • Gonzalez-Parrado, Z., Valencia-Barrera, R. M., Vega-Maray, A. M., Fuertes-Rodriguez, C. R., & Fernandez-Gonzalez, D. (2014b). The weak effects of climatic change on Plantago pollen concentration: 17 years of monitoring in Northwestern Spain. International Journal of Biometeorology, 58, 1641–1650.

    Article  Google Scholar 

  • Gutiérrez, M., Sáenz, C., Cervigón, P., Alcázar, P., Dopazo, A., Ruíz, L., et al. (1999). Comparative study of the presence of aeropollen from Plantago sp. at several locations in Spain. Polen, 10, 111–122.

    Google Scholar 

  • Haykin, S. (2008). Neural networks: A comprehensive foundation. New Jersey: Prentice Hall.

    Google Scholar 

  • Haykin, S. (2009). Neural networks and learning machines. New Jersey: Pearson Prentice Hall.

    Google Scholar 

  • Hilera, J. R., & Martínez, V. J. (1995). Redes neuronales artificiales. Fundamentos, modelos y Aplicaciones. Madrid. Iberoamericana S.A: Addisson-Wesley.

  • Hirst, J. (1952). An automatic volumetric spore-trap. Annals Applied Biology, 36, 257–265.

    Article  Google Scholar 

  • Hyde, H. A., & Williams, D. A. (1945). Studies in atmospheric pollen. III. Pollen production and pollen incidence in ribwort pollen (P. lanceolata L.). New Phytologist, 45, 271–277.

    Article  Google Scholar 

  • Izco, J., Ladero, M., & Sáenz de Rivas, C. (1972). Flora alergógena de España. Distribución, descripción e interés médico-alergológico de las especies responsables de síndromes alérgicos. Anales Real Academia Farmacia, 38(3), 521–570.

  • Jato, M. V., Rodríguez-Rajo, F. J., Aira, M. J., Tedeschini, E., & Frenguelli, G. (2013). Differences in atmospheric trees pollen seasons in winter, spring and summer in two European geographic areas, Spain and Italy. Aerobiologia, 29, 263–278.

    Article  Google Scholar 

  • Kersten, W., Von Wahl, P. G., & Debelic, M. (1991). Allergenic pollen and pollinosis in Western Germany. In G. D´Amato, F. T. M. Spieksma, & S. Bonini (Eds.), Allergenic pollen and pollinosis in Europe. Oxford: Blackwell.

    Google Scholar 

  • Laaidi, M. (2001). Forecasting the start of the pollen season of Poaceae: Evaluation of some methods based on meteorological factors. International Journal of Biometeorology, 45, 1–7.

    Article  CAS  Google Scholar 

  • Martínez, A., & Pérez, A. (1999). Atlas climático de Galicia. Santiago de Compostela (Spain): Xunta de Galicia.

    Google Scholar 

  • Montoya, I., Astray, G., Cid, A., Manso, J., Moldes, O., & Mejuto, J. C. (2012). Influence prediction of small organic molecules (Ureas and Thioureas) upon electrical percolation of AOT-based microemulsions using artificial neural networks. Tenside Surfactants and Detergents, 49(4), 316–320.

    Article  CAS  Google Scholar 

  • Osvath, P. (1991). Allergenic pollen and pollinosis in Hungary. In G. D´Amato, F. T. M. Spieksma, & S. Bonini (Eds.), Allergenic pollen and pollinosis in Europe. Oxford: Blackwell.

    Google Scholar 

  • Poot, P., Van den Broek, T., Van Damme, J. M. M., & Lambers, H. (1997). A comparison of the vegetative growth of male-sterile and hermaphroditic lines of Plantago lanceolata in relation to N-supply. The New Phytologist, 135, 429–437.

    Article  Google Scholar 

  • Puc, M. (2009). Meteorological factors and pollen season dynamics of selected herbaceous plants in Szczecin, 2004–2008. Acta Agrobotanica, 62, 97–109.

    Article  Google Scholar 

  • Puc, M. (2012). Artificial neural network model of the relationship between Betula pollen and meteorological factors in Szczecin (Poland). International Journal of Biometeorology, 56(2), 395–401.

    Article  Google Scholar 

  • Ranea Arroyo, S. (2002). Llantén, Plantago. In A. L. Valero Santiago & A. Cadahía García (Eds.), Polinosis: Polen y alergia. Spain: MRA Ediciones.

    Google Scholar 

  • Recio, M., Docampo, S., García-Sánchez, J., Trigo, M. M., Melgar, M., & Cabezudo, B. (2010). Influence of temperature, rainfall and wind trends on grass pollination in Málaga (western Mediterranean coast). Agricutural & Forest Meteorology, 150, 931–940.

    Article  Google Scholar 

  • Rodríguez de la Cruz, D. (2009). Estudio del contenido polínico en la atmósfera de la ciudad de Salamanca y su relación con los parámetros climáticos y los cuadros clínicos de alergia. Doctoral Thesis. University of Salamanca, Salamanca (Spain).

  • Rodriguez-Rajo, F. J., Astray, G., Ferreiro-Lage, J. A., Aira, M. J., Jato, M. V., & Mejuto, J. C. (2010). Evaluation of atmospheric Poaceae pollen concentration using a neural network applied to a coastal Atlantic climate región. Neural Networks, 23(3), 419–425.

    Article  CAS  Google Scholar 

  • Rodriguez-Rajo, F. J., Dacosta, N., & Jato, V. (2004). Airborne olive pollen in Vigo (Northwest Spain): A survey to forecast the onset and daily concentrations of the pollen season. Grana, 43(2), 101–110.

    Article  Google Scholar 

  • Rodriguez-Rajo, F. J., Valencia-Barrera, R. M., & Vega-Maray, A. M. (2006). Prediction of airborne Alnus pollen concentration by using Arima models. Annals of Agricultural and Environmental Medicine, 13(1), 25–32.

    Google Scholar 

  • Rosenblatt, F. (1958). The perceptron: A probabilistic model for information storage and organization in the brain, Cornell Aeronautical Laboratory. Psychological Review, 65(6), 386–408.

    Article  CAS  Google Scholar 

  • Sánchez-Mesa, J. A., Galán, C., & Hervás-Martinez, C. (2005). The use of discriminant analysis and neural network to forecast the severity of the Poaceae pollen season in a region with a typical Mediterranean climate. International Journal of Biometeorology, 49, 355–362.

    Article  Google Scholar 

  • Shea, K. M., Truckner, R. T., Weber, R. W., & Peden, D. B. (2008). Climate change and allergic disease. Journal of Allergological Clinical Immunology, 122(3), 442–453.

    Google Scholar 

  • Tormo Molina, R., Silva Palacios, I., Muñoz Rodriguez, A. F., Tavira Muñoz, J., & Moreno Corchero, A. (2001). Environmental factors affecting airborne pollen concentration in anemophilous species of Plantago. Annals of Botany, 87, 1–8.

    Article  Google Scholar 

  • Trigo, M. M., Recio, M., Toro, F. J., & Cabezudo, B. (1997). Incidencia del polen de “Plantago” en la atmósfera de Málaga y su relación con los parámetros meteorológicos. Acta Botánico Malacitana, 22, 103–113.

    Google Scholar 

  • Ziello, C., Sparks, T. H., Estrella, N., et al. (2012). Changes to airborne pollen counts across Europe. PLoS ONE, 7(4), e34076. doi:10.1371/journal.pone.0034076.g002.

    Article  CAS  Google Scholar 

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Authors and Affiliations

  1. Department of Physical Chemistry, Faculty of Sciences, University of Vigo, 32004, Ourense, Spain

    M. A. Iglesias-Otero, D. Rodríguez-Caride, G. Astray & J. C. Mejuto

  2. Department of Plant Biology and Soil Sciences, Faculty of Sciences, University of Vigo, 32004, Ourense, Spain

    M. Fernández-González & F. J. Rodríguez-Rajo

  3. Geological Sciences, Ohio University, Athens, OH, USA

    G. Astray

Authors
  1. M. A. Iglesias-Otero
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  2. M. Fernández-González
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  3. D. Rodríguez-Caride
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  4. G. Astray
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  5. J. C. Mejuto
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  6. F. J. Rodríguez-Rajo
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Correspondence to F. J. Rodríguez-Rajo.

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Iglesias-Otero, M.A., Fernández-González, M., Rodríguez-Caride, D. et al. A model to forecast the risk periods of Plantago pollen allergy by using the ANN methodology. Aerobiologia 31, 201–211 (2015). https://doi.org/10.1007/s10453-014-9357-z

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  • DOI: https://doi.org/10.1007/s10453-014-9357-z

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