Abstract
Objectives
To examine the relationship between meteorological factors and epidemiological pattern of Japanese encephalitis in Linyi City during 1956–2004.
Methods
Autoregressive integrated moving average (ARIMA) models were used to evaluate the relationship between monthly JE incidence and weather factors. Logarithmic transformation was applied to the JE incidence series to assure the normality and homogeneity of variance of the residuals. The effect of mass vaccination on JE incidence was also evaluated using a transfer function in the time series analysis.
Results
The analysis suggested that monthly average temperature [β = 0.0574, 95% confidence interval (CI) = (0.0172, 0.0976)] and relative humidity [β = 0.0082, 95% CI = (0.0004, 0.0158)] were positively associated with the logarithmic incidence of Japanese encephalitis after adjusting for mass vaccination in this area.
Conclusions
Weather variables might be treated as possible predictors of Japanese encephalitis incidence for regions with similar geographic, weather, and socio-economic conditions to Linyi, China.
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Acknowledgments
This study was supported by the National Natural Science Foundation of China (grant No. 30771873) and partially supported by the social welfare research special program of the Ministry of Science and Technology, China (grant No. 2003DIA6N009). One of the authors (HLL) thanks the studentship support by a grant from the NSFC/RGC Joint Research Scheme sponsored by the Research Grants Council of Hong Kong and the National Natural Science Foundation of China (Project No. N_CUHK454_08).
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The authors declare that they have no competing interests.
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H. Lin and L. Yang contributed equally to this work.
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Lin, H., Yang, L., Liu, Q. et al. Time series analysis of Japanese encephalitis and weather in Linyi City, China. Int J Public Health 57, 289–296 (2012). https://doi.org/10.1007/s00038-011-0236-x
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DOI: https://doi.org/10.1007/s00038-011-0236-x