Predicting malaria transmission risk in endemic areas of Iran : a multilevel modeling using climate and socioeconomic indicators
Joint Authors
Zolala, Farzaneh
Sheikhzadeh, Khodadad
Farzadfar, Farshad
Kasaeian, Amir
Haghdoost, Ali Akbar
Parsaeian, Mahbubeh
Bahrampour, Abbas
Raeisi, Ahmad
Source
Iranian Red Crescent Medical Journal
Issue
Vol. 19, Issue 4 (30 Apr. 2017), pp.1-7, 7 p.
Publisher
Publication Date
2017-04-30
Country of Publication
United Arab Emirates
No. of Pages
7
Main Subjects
Abstract EN
Background: Over the past years, the malaria elimination program has considerably decreased the malaria indigenous cases and confined their incidence to the southeastern areas of Iran encompassing 28 less developed counties with favorable transmission conditions.
Objectives: The aim of the study was to investigate the effects of climatic and socioeconomic indicators on malaria transmission and to predict malaria transmission risk until 2025 for all the southeastern endemic counties in Iran.
Methods: The aggregated data from indigenous malaria cases, as well as, climaticandsocioeconomic indicators of malaria endemic areas were collected on the monthly basis from each county between 2005 and 2015.
The collected variables were, then, estimated until 2025 using time series analysis.
Considering the nature of these data, two different multilevel models were implemented for vivax and falciparum based on the socioeconomic variable that was used.
Finally, applying two different models, two sets of estimates were obtained for malaria transmission risk in each county.
Results: The annual decline of malaria transmission was estimated to be 17% based on model 1, and 25% based on the model 2 for vivax (P < 0.001).
These estimates were 13% and 21% for falciparum (P < 0.001), respectively.
For every increased unit in the wealth index, malaria transmission for vivax and falciparum decreased by 33% (P = 0.001) and 12% (P = 0.54), respectively.
Also, for every increase in the mean years of schooling, the transmission decreased by 65% (P < 0.001) and 57% (P = 0.001) for vivax and falciparum.
Conclusions: The results of this study, using climatic variables along with socioeconomic variables, indicated the obvious influence of socioeconomic status improvement on decreasing malaria transmission.
According to the results, malaria transmission risk will considerably diminish in the next few years.
The pattern of malaria transmission decline was consistent with the declining trend of malaria incidence which will move from the west to the east and from the north to the south in the years to come.
The transmission risk for falciparum was considerably lower than that of vivax and the endemic areas of falciparum move towards 0 faster than vivax.
American Psychological Association (APA)
Sheikhzadeh, Khodadad& Haghdoost, Ali Akbar& Bahrampour, Abbas& Raeisi, Ahmad& Zolala, Farzaneh& Farzadfar, Farshad…[et al.]. 2017. Predicting malaria transmission risk in endemic areas of Iran : a multilevel modeling using climate and socioeconomic indicators. Iranian Red Crescent Medical Journal،Vol. 19, no. 4, pp.1-7.
https://search.emarefa.net/detail/BIM-820694
Modern Language Association (MLA)
Sheikhzadeh, Khodadad…[et al.]. Predicting malaria transmission risk in endemic areas of Iran : a multilevel modeling using climate and socioeconomic indicators. Iranian Red Crescent Medical Journal Vol. 19, no. 4 (Apr. 2017), pp.1-7.
https://search.emarefa.net/detail/BIM-820694
American Medical Association (AMA)
Sheikhzadeh, Khodadad& Haghdoost, Ali Akbar& Bahrampour, Abbas& Raeisi, Ahmad& Zolala, Farzaneh& Farzadfar, Farshad…[et al.]. Predicting malaria transmission risk in endemic areas of Iran : a multilevel modeling using climate and socioeconomic indicators. Iranian Red Crescent Medical Journal. 2017. Vol. 19, no. 4, pp.1-7.
https://search.emarefa.net/detail/BIM-820694
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 7
Record ID
BIM-820694