A time-series prediction model of acute myocardial infarction in northern of Iran: the risk of climate change and religious mourning.

Background: Although various studies have been conducted on the effects of seasonal climate changes or emotional variables on the risk of AMI, many of them have limitations to determine the predictable model. The currents study is conducted to assess the effects of meteorological and emotional variables on the incidence and epidemiological occurrence of acute myocardial infarction (AMI) in Sari (capital of Mazandaran, Iran) during 2011-2018.

Methods: In this study, a time series analysis was used to determine the variation of variables over time.

Weather fluctuations: predictive factors in the prevalence of acute coronary syndrome.

Meteorological parameters and seasonal changes can play an important role in the occurrence of acute coronary syndrome (ACS). However, there is almost no evidence on a national level to suggest the associations between these variables and ACS in Iran. We aim to identify the meteorological parameters and seasonal changes in relationship to ACS.