Your browser doesn't support javascript.
loading
A large-scale stochastic spatiotemporal model for Aedes albopictus-borne chikungunya epidemiology.
Erguler, Kamil; Chandra, Nastassya L; Proestos, Yiannis; Lelieveld, Jos; Christophides, George K; Parham, Paul E.
Affiliation
  • Erguler K; Energy, Environment and Water Research Center, The Cyprus Institute, 2121 Aglantzia, Nicosia, Cyprus.
  • Chandra NL; Department of Infectious Disease Epidemiology, Faculty of Medicine, Imperial College London, London W2 1PG, United Kingdom.
  • Proestos Y; Energy, Environment and Water Research Center, The Cyprus Institute, 2121 Aglantzia, Nicosia, Cyprus.
  • Lelieveld J; Department of Atmospheric Chemistry, Max Planck Institute for Chemistry, D-55128 Mainz, Germany.
  • Christophides GK; Energy, Environment and Water Research Center, The Cyprus Institute, 2121 Aglantzia, Nicosia, Cyprus.
  • Parham PE; Department of Life Sciences, Faculty of Natural Sciences, Imperial College London, South Kensington Campus, London SW7 2AZ, United Kingdom.
PLoS One ; 12(3): e0174293, 2017.
Article in En | MEDLINE | ID: mdl-28362820

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Chikungunya virus / Aedes / Chikungunya Fever / Insect Vectors / Models, Theoretical Type of study: Prognostic_studies / Screening_studies Limits: Animals Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2017 Document type: Article Affiliation country: Cyprus Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Chikungunya virus / Aedes / Chikungunya Fever / Insect Vectors / Models, Theoretical Type of study: Prognostic_studies / Screening_studies Limits: Animals Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2017 Document type: Article Affiliation country: Cyprus Country of publication: United States