Forecasting the number of zoonotic cutaneous leishmaniasis cases in south of Fars province, Iran using seasonal ARIMA time series method | Zendy

Mehdi Sharafi | Zendy; Haleh Ghaem | Zendy; Hamid Reza Tabatabaee | Zendy; Hossein Faramarzi | Zendy

Open Access

Forecasting the number of zoonotic cutaneous leishmaniasis cases in south of Fars province, Iran using seasonal ARIMA time series method

Author(s) -

Mehdi Sharafi,

Haleh Ghaem,

Hamid Reza Tabatabaee,

Hossein Faramarzi

Publication year - 2016

Publication title -

asian pacific journal of tropical medicine

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.491

H-Index - 52

ISSN - 1995-7645

DOI - 10.1016/j.apjtm.2016.12.007

Subject(s) - akaike information criterion , autoregressive integrated moving average , bayesian information criterion , statistics , cutaneous leishmaniasis , leishmaniasis , time series , mathematics , veterinary medicine , medicine , immunology

To predict the trend of cutaneous leishmaniasis and assess the relationship between the disease trend and weather variables in south of Fars province using Seasonal Autoregressive Integrated Moving Average (SARIMA) model.

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