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Is hand, foot and mouth disease associated with meteorological parameters?

  • E. MA (a1), T. LAM (a1), C. WONG (a1) and S. K. CHUANG (a1)
Summary

We examined the relationship between meteorological parameters and hand, foot and mouth disease (HFMD) activity. Meteorological data collected from 2000 to 2004 were tested for correlation with HFMD consultation rates calculated through the sentinel surveillance system in Hong Kong. The regression model constructed was used to predict HFMD consultation rates for 2005–2009. After adjusting for the effect of collinearity, mean temperature, diurnal difference in temperature, relative humidity, and wind speed were positively associated with HFMD consultation rates, and explained HFMD consultation rates well with 2 weeks' lag time (R2=0·119, P=0·010). The predicted HFMD consultation rates were also also well matched with the observed rates (Spearman's correlation coefficient=0·276, P=0·000) in 2005–2009. Sensitivity analysis showed that HFMD consultation rates were mostly affected by relative humidity and least affected by wind speed. Our model demonstrated that climate parameters help in predicting HFMD activity, which could assist in explaining the winter peak detected in recent years and in issuing early warning.

Copyright
COPYRIGHT: © Cambridge University Press 2010
Corresponding author
*Author for correspondence: Dr E. Ma, M.B.ChB., M.Med.Sc.(HK), PdipID(HK), PDip Epidemiology and Biostatistics (CUHK), PdipCommunityGeriatric(Hong Kong), MFPH(UK), FHCCM(HK), FHKAM (Community Medicine), Senior Medical and Health Officer, Surveillance and Epidemiology Branch, Centre for Health Protection, Department of Health, Hong Kong Special Administrative Region. (Email: smo_ss4@dh.gov.hk)
References
Hide All
1.Frydenberg, A, Starr, M. Hand, foot and mouth disease. Australian Family Physician 2003; 32: 594–595.
2.Kushner, D, Caldwell, BD. Hand-foot-and-mouth disease. Journal of American Podiatric Medical Association 1996; 86: 257–259.
3.Ho, M. Enterovirus 71: the virus, its infections and outbreaks. Journal of Microbiology, Immunology and Infection 2000; 33: 205–216.
4.Bendig, JW, Fleming, DM. Epidemiological, virological and clinical features of an epidemic of hand, foot, and mouth disease in England and Wales. Communicable Disease Report Review 1996; 6: R81–R86.
5.Sasidharan, CK, et al. Hand-foot-and-mouth disease in Calicut. Indian Journal of Pediatrics 2005; 72: 17–21.
6.CDC. Enterovirus surveillance – United States, 1997–1999. Morbidity and Mortality Weekly Report 2000; 49: 913–916.
7.Gilbert, GL, et al. Outbreak of enterovirus 71 infection in Victoria, Australia, with a high incidence of neurologic involvement. Pediatric Infectious Disease Journal 1988; 7: 484–488.
8.AbuBakar, S, et al. Identification of enterovirus 71 isolates from an outbreak of hand, foot and mouth disease (HFMD) with fatal cases of encephalomyelitis in Malaysia. Virus Research 1999; 61: 1–9
9.Ho, M, et al. Taiwan Enterovirus Epidemic Working Group. An epidemic of enterovirus 71 infection in Taiwan. New England Journal of Medicine 1999; 341: 929–935.
10.Shah, VA, et al. Clinical characteristics of an outbreak of hand, foot and mouth disease in Singapore. Annals of the Academy of Medicine Singapore 2003; 32: 381–387.
11.Fujimoto, T, et al. Outbreak of central nervous system disease associated with hand, foot, and mouth disease in Japan during the summer of 2000: detection and molecular epidemiology of enterovirus 71. Microbiology and Immunology 2002; 46: 621–627.
12.Ding, NZ, et al. Appearance of mosaic enterovirus 71 in the 2008 outbreak of China. Virus Research 2009; 145: 157–161.
13.Huang, SW, et al. Reemergence of enterovirus 71 in 2008 in taiwan: dynamics of genetic and antigenic evolution from 1998 to 2008. Journal of Clinical Microbiology 2009; 47: 3653–3662.
14.Ministry of Health, Singapore. EV71-associated epidemic hand, foot and mouth disease in Singapore. Epidemiological News Bulletin 2008; 34: 63–66.
15.Ma, E, et al. Epidemic of enterovirus 71 in 2008 – its public health implication to Hong Kong. International Journal of Infectious Disease 2010; 14: e775–e780.
16.Lowen, AC, et al. Influenza virus transmission is dependent on relative humidity and temperature. PLoS Pathogens 2007; 3: 1470–1476.
17.Zuk, T, Rakowski, F, Radomski, JP. A model of influenza virus spread as a function of temperature and humidity. Computional Biolology and Chemistry 2009; 33: 176–180.
18.du Prel, JB, et al. Are meteorological parameters associated with acute respiratory tract infections? Clinical Infectious Disease 2009; 49: 861–868.
19.Chan, PK, et al. Seasonal influenza activity in Hong Kong and its association with meteorological variations. Journal of Medical Virology 2009; 81: 1797–1806.
20.Næs, T, Mevik, BH. Understanding the collinearity problem in regression and discriminant analysis. Journal of Chemometrics 2001; 15: 413–426.
21.Heymann, DL. Control of Communicable Diseases Manual, 18th edn. American Public Health Association, 2004, pp. 133–135.
22.Lo, JY, et al. Respiratory infections during SARS outbreak, Hong Kong, 2003. Emerging Infectious Diseases 2005; 11: 1738–1741.
23.Druyts-Voets, E. Epidemiological features of entero non-poliovirus isolations in Belgium 1980–94. Epidemiology and Infection 1997; 119: 71–77.
24.Chen, KT, et al. Epidemiologic features of hand-foot-mouth disease and herpangina caused by enterovirus 71 in Taiwan, 1998–2005. Pediatrics 2007; 120: e244–252.
25.Ang, LW, et al. Epidemiology and control of hand, foot and mouth disease in Singapore, 2001–2007. Annals of the Academy of Medicine Singapore 2009; 38: 106–112.
26.Podin, Y, et al. Sentinel surveillance for human enterovirus 71 in Sarawak, Malaysia: lessons from the first 7 years. BMC Public Health 2006; 6: 180.
27.Hong Kong Observatory. Climate of Hong Kong (http://www.hko.gov.hk/wxinfo/climat/climahk.htm#). Accessed 11 May 2010.
28.Zuk, T, Rakowski, F, Radomski, JP. A model of influenza virus spread as a function of temperature and humidity. Computational Biology and Chemistry 2009; 33: 176–180.
29.Shaman, J, et al. Absolute humidity and the seasonal onset of influenza in the continental US. PLoS Biology 2010; 8: e1000316.
30.Zuk, T, Rakowski, F, Radomski, JP. Probabilistic model of influenza virus transmissibility at various temperature and humidity conditions. Computational Biology and Chemistry 2009; 33: 339–343.
31.Urashima, M, Shindo, N, Okabe, N. Seasonal models of herpangina and hand-foot-mouth disease to simulate annual fluctuations in urban warming in Tokyo. Japanese Journal of Infectious Diseases 2003; 56: 48–53.
32.Abad, FX, Pintó, RM, Bosch, A. Survival of enteric viruses on environmental fomites. Applied and Environmental Microbiology 1994; 60: 3704–3710.
33.Mbithi, JN, Springthorpe, VS, Sattar, SA. Effect of relative humidity and air temperature on survival of hepatitis A virus on environmental surfaces. Applied and Environmental Microbiology 1991; 57: 1394–1399.
34.McGeady, ML, Siak, JS, Crowell, RL. Survival of coxsackievirus B3 under diverse environmental conditions. Applied and Environmental Microbiology 1979; 37: 972–977.
35.Minhaz Ud-Dean, SM. Structural explanation for the effect of humidity on persistence of airborne virus: seasonality of influenza. Journal of Theoretical Biology 2010; 264: 822–829.
36.Dowell, SF. Seasonal variation in host susceptibility and cycles of certain infectious diseases. Emerging Infectious Disesaes 2001; 7: 369–374.
37.Costello, A, et al. Managing the health effects of climate change: Lancet and University College London Institute for Global Health Commission. Lancet 2009; 373: 1693–1733.
38.McMichael, AJ, Woodruff, RE, Hales, S. Climate change and human health: present and future risks. Lancet 2006; 367: 859–869.
39.Intergovernmental Panel on Climate Change. Climate change 2007. In: Parry, ML, Canziani, OF, Palutikof, JP, van der Linden, PJ, eds. Impacts, Adaptation, and Vulnerability, Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge: Cambridge University Press, 2007.
40.Leung, YK, Wu, MC, Yeung, KH.Climate forecasting – what the temperature and rainfall in Hong Kong are going to be like in 100 years? (http://www.weather.gov.hk/publica/reprint/r638.pdf). Accessed 12 May 2010.
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