Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
December 1, 2021BMC Infectious DiseasesOpen Access

Identification of bio-climatic determinants and potential risk areas for Kyasanur forest disease in Southern India using MaxEnt modelling approach

View Full Paper
Ask AI
Bookmark
Share

Authors

MPMalay PramanikPSPoonam SinghRDRamesh C. Dhiman

Discussion

Loading...

Member takes

Overview

Key Points

Key points are not available for this paper at this time.

Cite This Study

Pramanik et al. (2021) studied this question.

synapsesocial.com/papers/6a9411fa893ee072278c1114https://doi.org/10.1186/s12879-021-06908-9
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 4 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Predicting the speed of tick invasion: an empirical model of range expansion for the Lyme disease vector <i>Ixodes scapularis</i> in Canada2012 · 279 citations
  2. 2Predictions of avian Plasmodium expansion under climate change2013 · 80 citations
  3. 3Ecological Niche Modeling to Estimate the Distribution of Japanese Encephalitis Virus in Asia2012 · 120 citations
  4. 4The epizootics of Kyasanur Forest disease in wild monkeys during 1964 to 19731986 · 47 citations