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Spatial distribution of Haemaphysalis species ticks and human Kyasanur Forest Disease cases along the Western Ghats of India, 2017–2018

  • N. Naren babu
  • , Anup Jayaram
  • , H. Hemanth Kumar
  • , Prashant Pareet
  • , Sarthak Pattanaik
  • , Amogh Milind Auti
  • , Jazeel Abdulmajeed
  • , Hindol Maity
  • , Santhosha Devadiga
  • , Yuvraj Bhandari
  • , H. Agre Deepchand
  • , Muhammed Shakir
  • , Nishikant Kumar
  • , Govindakarnavar Arunkumar*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Kyasanur Forest Disease (KFD) is a viral haemorrhagic fever, transmitted to humans and other hosts by a tick vector of genus Haemaphysalis. It affects 400–500 people annually in the Western Ghats region of India through spring to summer season. To understand the species composition, distribution, and abundance of Haemaphysalis ticks in endemic taluks (sub-districts) of India, a surveillance for ticks was conducted between October 2017 and January 2018. In total 105 sites were selected based on grid sampling from five taluks representing five KFD endemic states in south India. A sum of 8373 ticks were collected by using standard flagging method. The study showed a wide distribution of host seeking tick species among the selected taluks, wherein Haemaphysalis spinigera was predominant in 3/5 taluks, Haemaphysalis bispinosa in 1/5 taluks, and both the species in 1/5 taluks. Further, the H. spinigera abundance was categorised and compared with the incidence of human cases during the same season. The grids with very high and high H. spinigera abundance had 70% of the 205 human cases reported. This method of tick surveillance could be efficiently used as a standard model for KFD transmission risk assessment and prediction of impending outbreaks.

Original languageEnglish
Pages (from-to)435-447
Number of pages13
JournalExperimental and Applied Acarology
Volume77
Issue number3
DOIs
Publication statusPublished - 01-03-2019

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

  • Ecology
  • Insect Science

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