References
- Emergency physicians branch of Chinese Medical Association. Expert consensus on emergency diagnosis and treatment process of acute upper gastrointestinal bleeding. Emerg Med China. 2015;35:873.
- Wang J, Cui Y, Wang J, et al. Clinical epidemiological trend of upper gastrointestinal bleeding in 15 years. Chin J Gastrointest Surg. 2017;20(4):425–431.
- Ping L, Xiaoyan H, Qiang Z, et al. Clinical reanalysis of the influence of temperature and solar term on upper gastrointestinal bleeding. J Guangzhou Univ Trad Chin Med. 2007;1:5–8, 16.
- Prechter F, Bürger M, Lehmann T, et al. A study on the correlation of gastrointestinal bleeding and meteorological factors–is there a weather condition for GI bleeding? Z Gastroenterol. 2019;57(12):1476–1480. doi:10.1055/a-1008-9863
- Wei WWS. Time series analysis. In: Little TD, Editor. The Oxford Handbook of Quantitative Methods in Psychology; Oxford, UK: Oxford University Press; 2006.
- De Livera AM, Hyndman RJ, Snyder RD. Forecasting time series with complex seasonal patterns using exponential smoothing. J Am Stat Assoc. 2011;106(496):1513–1527. doi:10.1198/jasa.2011.tm09771
- Lee YS, Tong LI. Forecasting time series using a methodology based on autoregressive integrated moving average and genetic programming. Knowl Based Syst. 2011;24(1):66–72. doi:10.1016/j.knosys.2010.07.006
- Zhiquan F, Caijuan H, Chunxia L, et al. Rhythm of acute upper gastrointestinal hemorrhage and its correlation with meteorology. Chin Trad Med Sci Technol. 2013;06:5–9.
- Jiaping X, Jingrun Z, Ruiying S, et al. Seasonal onset of esophageal and gastric variceal bleeding and the influence of related meteorological factors. Chin J Gastroenterol. 2011;31(4):271–273.
- Jian L, Baihua H, Yuqin L, et al. Correlation between upper gastrointestinal bleeding and seasonal variation and meteorological factors. Chin J Clin. 2015;4:581–584.
- Lenzen H, Musmann E, Kottas M, et al. Acute gastrointestinal bleeding cases presenting to the emergency department are associated with age, sex and seasonal and circadian factors. Eur J Gastroenterol Hepatol. 2017;29(1):78–83. doi:10.1097/MEG.0000000000000752
- Tahri N, Amouri A, Fekih H, et al. Meteorologic conditions and esophageal varices rupture. Ann Med Interne. 2003;154(8):509–514.
- Siddiqui MT, Bilal M, Haq KF, et al. Seasonal impacts on the incidence of esophageal variceal hemorrhage: a nationwide analysis across a decade. Clin Endosc. 2019. doi:10.5946/ce.2019.094
- Caijuan H, Zhiquan F, Zhen L, et al. Research progress on correlation between acute upper gastrointestinal bleeding and TCM time phase and meteorology. Chin J Trad Chin Med. 2012;08:159–162. Chinese.
- Xiaoyan L, Zhaolan Z, Jie H, et al. Analysis of the relationship between TCM syndrome types of upper gastrointestinal bleeding and temperature and solar term changes. Journal of Emergency in Traditional Chinese Medicine,2012;21(3):370. Chinese.
- Shuqing S. Syndrome differentiation and treatment of upper gastrointestinal bleeding. Chin Med Emerg. 2014;23(6):1135–1136. Chinese.
- Liu Y. Pathogenesis of upper gastrointestinal bleeding in traditional Chinese medicine. Heilongjiang Trad Chin Med. 2006;3:4–5. Chinese.
- Li Q, Guo NN, Han ZY, et al. Application of an autoregressive integrated moving average model for predicting the incidence of hemorrhagic fever with renal syndrome. Am J Trop Med Hyg. 2012;87(2):364–370. doi:10.4269/ajtmh.2012.11-0472
- Peng W, Ying P, Xiaobing Y. Application of ARIMA model and Holt winters exponential smoothing model in prediction of influenza like cases in Wuhan. Mod Prev Med. 2018;45(3). Chinese.
- Zhixing P, Changjun B, Yang Z, et al. Arima product seasonal model and its application in prediction of infectious diseases. Math Stat Manag. 2008;27(2):362. Chinese.