Effect of meteorological factors on incidence of tuberculosis: A 15-year retrospective study based on Chinese medicine theory of five circuits and six qi

Xuan Zhang; Yu Hao; Zhan-yang Fei; Juan He

doi:10.1007/s11655-015-2319-7

Your Location：

Home >

Browse articles >

Effect of meteorological factors on incidence of tuberculosis: A 15-year retrospective study based on Chinese medicine theory of five circuits and six qi

OriginalPaper | Updated：2021-08-27

- Effect of meteorological factors on incidence of tuberculosis: A 15-year retrospective study based on Chinese medicine theory of five circuits and six qi
- Effect of meteorological factors on incidence of tuberculosis: A 15-year retrospective study based on Chinese medicine theory of five circuits and six qi
- 中国结合医学杂志（英文版） 2015年21卷第10期页码：751-758
- Affiliations：
  
  School of Basic Medicial Science, Beijing University of Chinese Medicine,Beijing,China
- Author bio：
- Funds：
  
  Supported by the National Natural Science Foundation of China (No. 81072896)
- DOI：10.1007/s11655-015-2319-7
  中图分类号：
- 纸质出版日期：2015，
  
  网络出版日期：2015-11-3，
Scan for full text
Zhang, X., Hao, Y., Fei, Zy. et al. Effect of meteorological factors on incidence of tuberculosis: A 15-year retrospective study based on Chinese medicine theory of five circuits and six qi., Chin. J. Integr. Med. 21, 751–758 (2015). https://doi.org/10.1007/s11655-015-2319-7

Xuan Zhang, Yu Hao, Zhan-yang Fei, et al. Effect of meteorological factors on incidence of tuberculosis: A 15-year retrospective study based on Chinese medicine theory of five circuits and six qi[J]. Chinese Journal of Integrative Medicine, 2015,21(10):751-758.
Zhang, X., Hao, Y., Fei, Zy. et al. Effect of meteorological factors on incidence of tuberculosis: A 15-year retrospective study based on Chinese medicine theory of five circuits and six qi., Chin. J. Integr. Med. 21, 751–758 (2015). https://doi.org/10.1007/s11655-015-2319-7 DOI：

Xuan Zhang, Yu Hao, Zhan-yang Fei, et al. Effect of meteorological factors on incidence of tuberculosis: A 15-year retrospective study based on Chinese medicine theory of five circuits and six qi[J]. Chinese Journal of Integrative Medicine, 2015,21(10):751-758. DOI： 10.1007/s11655-015-2319-7.

摘要

To analyze the correlations between the incidence of tuberculosis and meteorological factors over the same period and previous periods including 1

2 and 3 years ago

defined according to the Chinese medicine theory of five circuits (Wu Yun) and six qi

to establish medical-meteorological forecast models for the Beijing area of China. Data regarding the incidence of tuberculosis between 1990 and 2004 were obtained from the Beijing Center for Disease Control and Prevention

and the data regarding the meteorological factors (including daily average temperatures

wind speeds

precipitations

relative humidities

vapor pressures and low cloud covers) between 1987 and 2004 were collected from the Beijing Meteorological Observatory and analyzed. Descriptive statistics and a back-propagation artificial neural network were adopted to analyze the data. There were significant correlations between the incidence of tuberculosis and the meteorological factors in the corresponding year and previous years. Among these correlations

wind speed was the factor with the strongest inflfl uence on tuberculosis (the standardized significance was 100%). Additionally

all prediction models would successfully established

suggesting the use of a collection of meteorological factors spanning from three years ago to the present is superior to the use of single data. The incidence of tuberculosis in Beijing area is correlated to meteorological factors in the current year and previous years

which verifies the practicality of the theory of five circuits and six qi.

Abstract

To analyze the correlations between the incidence of tuberculosis and meteorological factors over the same period and previous periods including 1

2 and 3 years ago

defined according to the Chinese medicine theory of five circuits (Wu Yun) and six qi

and the data regarding the meteorological factors (including daily average temperatures

wind speeds

precipitations

relative humidities

wind speed was the factor with the strongest inflfl uence on tuberculosis (the standardized significance was 100%). Additionally

all prediction models would successfully established

which verifies the practicality of the theory of five circuits and six qi.

关键词

tuberculosismeteorological factorsChinese Medicinefive circuits and six qiback-propagation artificial neural networkBeijing

Keywords

tuberculosismeteorological factorsChinese Medicinefive circuits and six qiback-propagation artificial neural networkBeijing

references

Li LY. The prevention and control situation of tuberculosis is still grim—Dialogue Feng HONG, the director of Beijing Institute of Tuberculosis Control. Capit Med Newspaper (Chin) 2009;10:21–22.

Falagas ME, Bliziotis IA, Kosmidis J, Daikos GK. Unusual climatic conditions and infectious diseases: observations made by Hippocrates. Enferm Infecc Microbiol Clin 2010;28:716–718.

Fisman DN. Seasonality of infectious diseases. Annu Rev Public Health 2007;28:127–143.

Gu ZS. Inspiration for treatment of SARS with doctrine of five circuits and six qi based on syndrome differentiation of TCM. Chin J Tradit Chin Med Pharm (Chin) 2005;20:261–264.

Gu ZS. The traditional understanding of epidemic diseases. J Zhejiang Univ Tradit Chin Med (Chin) 2009;33:648–649.

Gu ZS. Analysis of SARS based on the theory of "pestilence occurring after three years". China J Basic Med Tradit Chin Med (Chin) 2003;9:1–3.

Gu ZS. To explore the relationship between SARS and the theory of five circuits and six qi. J Jiangxi Univ Tradit Chin Med (Chin) 2003;15:13–16.

Koh GCKW, Hawthorne G, Turner AM, Kunst H, Dedicoat M. Tuberculosis incidence correlates with sunshine: an ecological 28-year time series study. PLoS One 2013;8:1–5.

Fu YY, Ma YC, Yao HB. To explore the relationship between the mortality of patients with tuberculosis and meteorological factors. Henan J Diagn Ther (Chin) 1998;12:44–45.

Jin RF, Huang CG, Qiu H, Wang ZM, Huang DX, Zhou X, et al. Forecasting incidence of tuberculosis in a city with four types of models. Mod Prev Med (Chin) 2008;35:4866–4869.

Deng B, Zhou ZG, Ma ZL, Yi LL, Zhang XD, Guo HC, et al. The model of back-propagation neural network about the relationship between meteorological factors and pulmonary tuberculosis. In Med Health Guid News (Chin) 2008;14:17–20.

Hu JY, Jiang MJ, Jing YS, Wan BC, Liu C. Application of neural network in forecasting tuberculosis caused by meteorological factors. Bull Sci Technol (Chin) 2013;29:19–23.

Liu YQ, Gao SH, Zhang DS, He J, Ding Y, Ma XM. On WANG Bing’s mistake in calculation model for annotating Yunqi (five circuits and six qi) based on Beijing meteorological data for 60 years. J Beijing Univ Tradit Chin Med (Chin) 2010;33:813–816.

Wu XY, Wang TF, Zhao Y, Yu CG, Li ZG, Wang QG. Exploration of the use of mathematical methods in the syndrome analysis research. Jiangsu J Tradit Chin Med (Chin) 2007;39:53–55.

Sun ZQ, Medical statistics. Beijing: People’s Health Publishing Press;2007:478.

Ma SL, Tang QL, Liu HW, Gao SH, He J. Correlation analysis for the attack of bacillary dysentery and meteorological factors based on the Chinese medicine theory of Yunqi and medical-meteorological forecast model. Chin J Integr Med 2013;19:182–186.

Zhang WT, Zhong YF, Case pristine in data analysis and mining of IBM SPSS. Beijing: Tsinghua University Press;2013:128.

Critselis E, Nastos PT, Theodoridou K, Theodoridou M, Tsolia MN, Hadjichristodoulou C, et al. Time trends in pediatric hospitalizations for varicella infection are associated with climatic changes: a 22-year retrospective study in a Tertiary Greek Referral Center. PLoS One 2012;7:1–7.

Li XY, Wang QY, Gao T, Jia L, Pang XH. Correlation study on association between meteorological factors and incidence of scarlet fever in Beijing. Pract Prev Med (Chin) 2007;14:1435–1436.

Jia L, Li XY, Liu GR, Liu Y, Yan HQ, Dou XF, et al. Analysis of the association between meteorological factors and incidence of dysentery in Beijing. Mod Prev Med (Chin) 2007;34:2470–2471.

Liu ZD, Zhang X, He J. Relationship between meteorological factors and incidence of dysentery in Beijing area based on theory of "pestilence occurring after three years". J Beijing Univ Tradit Chin Med (Chin) 2013;36:258–262.

Zhang X, Zulihumaer A, Liu ZD, Ma SL, He J. Correlation between typhoid/paratyphoid and meteorological factors and establishment of forecast model based on theory of five circuits and six qi. J Beijing Univ Tradit Chin Med (Chin) 2013;36:797–801.

FULL TEXT LINK

More>

浏览量

Downloads

CSCD

文章被引用时，请邮件提醒。

Submit

工具集

关联资源

Correlation analysis for the attack of bacillary dysentery and meteorological factors based on the Chinese medicine theory of Yunqi and the medical-meteorological forecast model

Correlation analysis for the attack of respiratory diseases and meteorological factors

Future view and development of immunology: Exploring the immunology based on Chinese medicine and culture

Cost-effectiveness analysis of combined Chinese medicine and Western medicine for ischemic stroke patients

Objective tongue inspection on 142 liver cancer patients with damp-heat syndrome