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Distribution and Biodiversity Components of Hard Ticks As Potential Vectors of Crimean-Congo Haemorrhagic Fever Virus (Cchfv) in Borderline of Iran-Afghanistan Publisher



Jafari A1 ; Asadolahi S1 ; Rasekh M2 ; Saadati D3 ; Faghihi F4 ; Fazlalipour M5 ; Telmadarraiy Z6
Authors
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Authors Affiliations
  1. 1. Department of Veterinary Medicine, Faculty of Veterinary Medicine, University of Zabol, Zabol, Iran
  2. 2. Department of Clinical Sciences, Faculty of Veterinary Medicine, University of Zabol, Zabol, Iran
  3. 3. Department of Nutrition and Animal Breeding, Faculty of Veterinary Medicine, University of Zabol, Zabol, Iran
  4. 4. Cellular and Molecular Research Center, Iran University of Medical Sciences, Tehran, Iran
  5. 5. Department of Arboviruses and Viral Hemorrhagic Fevers (National Ref Lab), Pasteur Institute of Iran (IPI), Tehran, Iran
  6. 6. Department of Medical Entomology and Vector Control, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran

Source: International Journal of Acarology Published:2021


Abstract

The objectives of the present study were to investigate prevalence and biodiversity components of hard ticks as potential vectors of Crimean-Congo haemorrhagic fever virus in livestock of Iran–Afghanistan borderline in 2019. A total of 865 ticks were randomly collected from 10 counties of Iran–Afghanistan border line. Camels, cows, goats, and sheep were selected as hosts. A total of two genera and five species were identified according to morphological keys. The biodiversity indices (Simpson, Shannon, Margalef, Berger-Parker, and Pielou) were calculated. Rarefaction curves and richness estimators were used to calculate richness. Biodiversity components were adjusted using SHE analysis. Dominant species were Hyalomma and Rhipicephalus. Simpson and Shannon species diversity indices showed that the highest species diversity belonged to goats and also South Khorasan was more diverse than Sistan and Baluchestan. In SHE analysis, the log-normal model is clearly seen in the diagrams of the cows, sheep, and goats. South Khorasan also follows the log normal distribution. Dominant ticks were the major vectors of CCHFV and goats were determined as the most diverse livestock. As a result, goat population require more monitoring. The SHE graphs mainly followed the log-normal pattern, which is an indicator of normal societies. © 2021 Informa UK Limited, trading as Taylor & Francis Group.
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