Title of article :
Time Series Analysis on the Appropriate Time for Malaria Residual Spraying Based on Anopheles abundance, Temperature, and Precipitation between 2009-2016 in Kazerun, South of Iran
Author/Authors :
Norouzi, Mojtaba Shiraz University of Medical Sciences, Kazerun, Iran , Ghaem, Haleh Epidemiology Department - School of Health - Shiraz University of Medical Sciences,Shiraz, Iran , Tabatabaee, Hamid Reza Epidemiology Department - School of Health - Shiraz University of Medical Sciences, Shiraz, Iran , Abdollahi, Malihe Faculty of Medical Science Torbat Jam, Torbat Jam, Iran , Afkar, Mohammad Faculty of Medical Science Torbat Jam, Torbat Jam, Iran , Rahmani, Fatemeh Shiraz University of Medical Sciences, Kazerun, Iran
Abstract :
Background: Malaria is one of the most important vector-borne
diseases, a major health problem, and a serious cause of mortality
around the world. Indoor Residual Spraying (IRS) together with
insecticide-treated nets is among the primary methods used for
controlling and reducing the burden of malaria. The present study
aimed to determine the appropriate time for malaria management based
on entomology, vector abundance, temperature, and precipitation data.
Methods: In this time series study the study data were collected
using the entomological data existing in Kazerun’s health and
treatment network and weather station between 2009 - 2016. The
data were analyzed via time series models with monthly time
intervals, which included 96 months. The following models were
applied: Autoregressive Moving Average (ARMA), Moving Average
(MA), Autoregressive (AR), and Autoregressive Integrated Moving
Average (ARIMA). Indeed, kriging approach was employed for
interpolation of temperature and precipitation in the study points.
All analyses were done using Information Technology Service
Management (ITSM) software.
Results: Temperature followed a similar trend in the six villages
under investigation. It was predicted up to 20 months after the
observations using MAmodel. Accordingly, the mean of temperature
was 30 °C.The trend of precipitation showed great fluctuations; thus,
the results of the precipitation model were not accredited. The trend
of Anopheles abundance was predicted using ARMA in Jahad-
Abad, Hakimbashi, Seyed Hossein, and Dadin and using ARMA
in Khesht and Jareh. According to the results, Anopheles abundance
followed a descending trend in the study regions. Considering
the temperature trend and peak of Anopheles abundance in the
areas under investigation, the best time for residual spraying was
two weeks prior to the peak of Anopheles abundance within the
temperature range of 25-30 °C.
Conclusion: Considering entomology and temperature data,
two weeks prior to the peak of Anopheles abundance within the
temperature range of 25-30°C was found to be the best time for
residual spraying in order to prevent and control malaria. Other
preventive and control measures, such as active case detection,
timely treatment of patients, and public education should also be
intensified at this time.
Keywords :
Indoor residual spraying , ARIMA model , Time series analysis , Malaria , Kazerun
Journal title :
Astroparticle Physics