Modelling spatial relationship between climatic conditions and annual parasite incidence of malaria in southern part of Sistan&Balouchistan Province of Iran using spatial statistic models

Halimi, M. and Farajzadeh, M. and Delavari, M. and Takhtardeshir, A. and Moradi, A. (2014) Modelling spatial relationship between climatic conditions and annual parasite incidence of malaria in southern part of Sistan&Balouchistan Province of Iran using spatial statistic models. Asian Pacific Journal of Tropical Disease, 4 (S1). S167-S172.

Full text not available from this repository.
Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....
DOI: UNSPECIFIED

Abstract

Objective: To model spatial relationship between climatic conditions and annual parasite incidence (API) of malaria in southern part of Sistan&Balouchistan Province of Iran using spatial statistic models. Methods: A geographical weighted regression model was applied for predicting API by 3 climatic factors in order to model the spatial API of malaria in Sistan&Baluchistan Province of Iran. Results: The results indicated that most important climatic factor for explaining API in Sistan&Baluchistan was annual rainfall being of more importance in southern part of study area such as Chabahar, and Nikshar. The temperature and relative humidity are of the second and third priority respectively. The importance of these two climatic factors is higher in northern part of the studied region. The spatial autocorrelation (Moran's I) for standard residual of applied geographical weighted regression model is -0.022 which indicated no spatial patterns. Conclusions: This model explained only 0.51 of API spatial variation (R2=0.51). Thus, the non-climatic factors such as socioeconomic, lifestyle and the neighborhood position of this province with Afghanistan, and Pakistan also should be considered in epidemiological survey of malaria in Sistan&Baluchistan. © 2014 Asian Pacific Tropical Medicine Press.

Item Type: Article
Additional Information: cited By 0
Uncontrolled Keywords: rain, Article; climate; controlled study; environmental temperature; geographic distribution; humidity; Iran; low temperature; malaria; nonhuman; parasite incidence; parasite transmission; population research; priority journal; statistical model
Subjects: Parasitology
Divisions: Faculty of Medicine > Basic Sciences > Department of Parasitological & Mycology
Depositing User: editor . 2
Date Deposited: 06 Mar 2017 16:18
Last Modified: 06 Mar 2017 16:18
URI: http://eprints.kaums.ac.ir/id/eprint/427

Actions (login required)

View Item View Item