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Predictive determinants of scorpion stings in a tropical zone of south Iran: use of mixed seasonal autoregressive moving average model J. Venom. Anim. Toxins incl. Trop. Dis.
Ebrahimi,Vahid; Hamdami,Esmael; Moemenbellah-Fard,Mohammad Djaefar; Jahromi,Shahrokh Ezzatzadegan.
Abstract Background: More than 1.2 million scorpion stings occur annually worldwide, particularly in tropical regions. In the absence of proper medical care, mortality due to venomous scorpion stings is an important public health issue. The aim of the present study is to explore the temporal trend of scorpionism with time series models and determine the effective factors on this event using regression models. Methods: A retrospective cross sectional study was conducted on 853 scorpion stung patients. They were referred to Haji-Abad Hospital of Hormozgan University of Medical Sciences (HUMS), south Iran, from May 2012 to July 2016. A linear model to describe and predict the monthly trend of scorpion sting cases is fit with autoregressive moving average...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Climate; Mixed seasonal ARMA; Regression analysis; Scorpion; Scorpion stings; Time series; Iran.
Ano: 2017 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1678-91992017000100315
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