Literature DB >> 28283136

Temporal Dynamics of Phlebotomine Sand Flies Population in Response to Ambient Temperature Variation, Bam, Kerman Province of Iran.

Mansour Halimi1, Zahra Zarei Cheghabaleki2, Mohammad Jafari Modrek3, Mahdi Delavari4.   

Abstract

BACKGROUND: Variations in climate condition may have changed the dynamic of zoonotic cutaneous leishmaniasis (ZCL) and its agents such as sand flies and reservoir in the Bam Kerman the dry region of Iran.
OBJECTIVES: In this study we intend to examine the seasonal and interannual dynamics of the phlebotomine mosquito as a function of ambient temperature in Bam, Kerman one of the main leshmaniasis prevalence area in Iran.
METHODS: The MODIS land surface temperature product (LST; MODIS/Terra LST/E Monthly L3 Global 0.05Deg CMG [MOD11C3]) and land-based climatic data were used as explanatory variables. Monthly caught mosquitoes in Bam, Kerman, were used as a dependent variable. The temporal associations were first investigated by inspection of scatterplots and single-variable regression analysis. A multivariate linear regression model was developed to reveal the association between ambient temperature and the monthly mosquito abundance at a 95% confidence level (P < 0.05).
FINDINGS: The findings indicated that the monthly variation of 0-10 cm of soil depth temperature is the main driver of phlebotomine mosquito temporal dynamics. The developed multivariate model also indicated that the ambient temperature variation was responsible for >0.80 of temporal dynamics of phlebotomine mosquitos in Bam.
Copyright © 2016 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  ambient temperature; phlebotomine mosquito; temporal association; zoonotic cutaneous leishmaniasis (ZCL)

Mesh:

Year:  2016        PMID: 28283136     DOI: 10.1016/j.aogh.2016.07.009

Source DB:  PubMed          Journal:  Ann Glob Health        ISSN: 2214-9996            Impact factor:   2.462


  2 in total

1.  A climate-driven and field data-assimilated population dynamics model of sand flies.

Authors:  Kamil Erguler; Irene Pontiki; George Zittis; Yiannis Proestos; Vasiliki Christodoulou; Nikolaos Tsirigotakis; Maria Antoniou; Ozge Erisoz Kasap; Bulent Alten; Jos Lelieveld
Journal:  Sci Rep       Date:  2019-02-21       Impact factor: 4.379

2.  Spatial Dynamics of a Phlebotomine Sand Flies Population in Response to Climatic Conditions in Bushehr Province of Iran.

Authors:  Zahra Zarei Cheghabaleki; Dariush Yarahmadi; Mostafa Karampour; Aliakbar Shamsipour
Journal:  Ann Glob Health       Date:  2019-04-23       Impact factor: 2.462

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.