Abstract
This work aims to study associations between monthly averages of meteorological variables and monthly frequencies of diverse diseases in the calls to the public ambulance emergency service of the city of Buenos Aires during the years 1999–2004. Throughout this time period no changes were made in the classification codes of the illnesses. Heart disease, arrhythmia, heart failure, cardiopulmonary arrest, angina pectoris, psychiatric diseases, stroke, transient ischemic attack, syncope and the total number of calls were analyzed against 11 weather variables and the four seasons. All illnesses exhibited some seasonal behavior, except cardiorespiratory arrest and angina pectoris. The largest frequencies of illnesses that exhibited some association with the meteorological variables used to occur in winter, except the psychiatric cases. Heart failure, stroke, psychiatric diseases and the total number of calls showed significant correlations with the 11 meteorological variables considered, and the largest indices (absolute values above 0.6) were found for the former two pathologies. On the other side, cardiorespiratory arrest and angina pectoris revealed no significant correlations and nearly null indices. Variables associated with temperature were the meteorological proxies with the largest correlations against diseases. Pressure and humidity mostly exhibited positive correlations, which is the opposite of variables related to temperature. Contrary to all other diseases, psychiatric pathologies showed a clear predominance of positive correlations. Finally, the association degree of the medical dataset with recurrent patterns was further evaluated through Fourier analysis, to assess the presence of statistically significant behavior. In the Northern Hemisphere high morbidity and mortality rates in December are usually assigned to diverse factors in relation to the holidays, but such an effect is not observed in the present analysis. There seems to be no clearly preferred meteorological proxy among the different types of temperatures used. It is shown that the amount of occurrences depends mainly on season rather on its strength quantified by temperature.
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References
Auliciems A, Frost D (1989) Temperature and cardiovascular deaths in Montreal. Int J Biometeorol 33:151–156
Auliciems A, Skinner J (1989) Cardiovascular deaths and temperature in subtropical Brisbane. Int J Biometeorol 33:215–221
Bartková J (2003) The influence of temperature, relative humidity and rainfall on the ocurrence of pollen allergens (Betula, Poaceae, Ambrosia artemisiifolia) in the atmosphere of Bratislavia (Slovakia). Int J Biometeorol 48:1–5
Becker S, Weng S (1998) Seasonal patterns of death in Matlab, Bangladesh. Int J Epidemiol 27:814–823
Bendat JS, Piersol AG (1971) Random data: analysis and measurement procedures. Wiley-Interscience, New York
Davis R, Knappenberger P, Novicoff MP (2003) Decadal changes in summer mortality in U.S. cities. Int J Biometeorol 47:166–175
Dessai S (2002) Heat stress and mortality in Lisbon Part I: model construction and validation. Int J Biometeorol 47:6–12
Ebi K, Exuzides K, Lau E, Kelsh M, Barnston A (2004) Weather changes associated with hospitalizations for cardiovascular diseases and stroke in California, 1983–1998. Int J Biometeorol 49:48–58
Gemmell I, McLoone P, Boddy FA, Dickinson GJ, Watt GCM (2000) Seasonal variation in mortality in Scotland. Int J Epidemiol 29:274–279
Giua A, Abbas MA, Murgia N, Corea F (2010) Climate and stroke: a controversial association. Int J Biometeorol 54:1–3. doi:10.1007/s00484-009-0253-0
González S, Díaz J, Pajares M, Alberdi J, Otero A, López C (2001) Relationship between atmospheric pressure and mortality in the Madrid Autonomus Region: a time-series study. Int J Biometeorol 45:34–40
Hair JF, Anderson RE, Black W, Tatham R (1995) Multivariate data analysis. Prentice Hall, Englewood Cliffs
Keatinge W, Coleshaw S, Holmes J (1989) Changes in seasonal mortalities with improvement in home heating in England and Wales from 1964 to 1984. Int J Biometeorol 33:71–76
Kloner RA, Poole WK, Perritt RL (1999) When throughout the year is coronary death most likely to occur? A 12- year population-based analysis of more than 220,000 cases. Circulation 100:1630–1634
Liang WM, Liu WP, Chou SY, Kuo HW (2008) Ambient temperature and emergency room admissions for acute coronary syndrome in Taiwan. Int J Biometeorol 52:223–229. doi:10.1007/s00484-007-0116-5
McGregor G (2001) The meteorological sensitivity of ischaemic heart disease mortality events in Birmingham, UK. Int J Biometeorol 45:133–142
McGregor G (2005) Winter North Atlantic oscillation, temperature and ischaemic heart disease mortality in three English counties. Int J Biometeorology 49:197–204
Moolgavkar S, Luebeck E, Anderson E (1997) Air pollution and hospital admissions for respiratory causes in Minneapolis–St Paul and Birmingham. Epidemiology 8:364–370
Nakaji S, Parodi S, Fontana V, Umeda T, Suzuki K, Sakamoto J, Fukuda S, Wada S, Sugawara K (2004) Seasonal changes in mortality rates from main causes of death in Japan (1970–1999). Eur J Epidemiol 19:905–913
Ohshige K, Hori Y, Tochikubo O, Sugiyama M (2006) Influence of weather on emergency transport events coded as stroke: population-based study in Japan. Int J Biometeorol 50:305–311. doi:10.1007/s00484-005-0018-3
Pell JP, Cobbe SM (1999) Seasonal variations in coronary heart disease. QJM-Mon J Assoc Phys 92:689–696
Phillips DP, Jarvinen JR, Abramson IS, Phillips RR (2004) Cardiac mortality is higher around Christmas and New Year's than at any other time: the holidays as a risk factor for death. Circulation 110:3781–3788
Rogot E, Fabsitz R, Feinleib M (1976) Daily variation in USA mortality. Am J Epidemiol 103:1198–1211
Rusticucci M, Bettolli ML, Harris MA (2002) Association between weather conditions and the number of patients at the emergency room in an Argentine hospital. Int J Biometeorol 46:42–51
Sakamoto-Momiyama M (1978) Changes in the seasonality of human mortality: a medico-geographical study. Soc Sci Med 12:29–42
Seto T, Mittleman M, Davis R, Taira D, Kawachi I (1998) Seasonal variation in coronary artery disease mortality in Hawaii: observational study. Br Med J 316:1946–1947
Spiegel MR, Stephens LJ (1998) Statistics. McGraw-Hill, New York
Van Rossum CTM, Shipley MJ, Hemingway H, Grobbee DE, Mackenbach JP, Marmot MG (2001) Seasonal variation in cause-specific mortality: are there high-risk groups? 25-year follow-up of civil servants from the first Whitehall study. Int J Epidemiol 30:1109–1116
Wang Y, Levi CR, Attia JR, D’Este CA, Spratt N, Fisher J (2003) Seasonal variation in stroke in the Hunter Region, Australia. A 5-year Hospital-based Study, 1995–2000. Stroke 34:1144–1150
Acknowledgements
I wish to express my gratitude to authorities and staff of the public emergency service of the city of Buenos Aires SAME for making medical data available and explaining their details, particularly to Mrs. Claudia Devita and Dr. Ester Dabul. I would also like to thank the meteorological data downloaded from the National Center for Atmospheric Research, Boulder, CO (ds512.0, ds570.0).
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Alexander, P. Association of monthly frequencies of diverse diseases in the calls to the public emergency service of the city of Buenos Aires during 1999–2004 with meteorological variables and seasons. Int J Biometeorol 57, 83–90 (2013). https://doi.org/10.1007/s00484-012-0536-8
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DOI: https://doi.org/10.1007/s00484-012-0536-8