A large-scale stochastic spatiotemporal model for Aedes albopictus-borne chikungunya epidemiology

• Kamil Erguler ,

  * E-mail: k.erguler@cyi.ac.cy (KE); paul.parham@liverpool.ac.uk (PEP)

  Affiliation Energy, Environment and Water Research Center, The Cyprus Institute, 2121 Aglantzia, Nicosia, Cyprus

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• Nastassya L. Chandra,

  Affiliation Department of Infectious Disease Epidemiology, Faculty of Medicine, Imperial College London, London W2 1PG, United Kingdom

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• Yiannis Proestos,

  Affiliation Energy, Environment and Water Research Center, The Cyprus Institute, 2121 Aglantzia, Nicosia, Cyprus

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• Jos Lelieveld,

  Affiliations Department of Atmospheric Chemistry, Max Planck Institute for Chemistry, D-55128 Mainz, Germany, Energy, Environment and Water Research Center, The Cyprus Institute, 2121 Aglantzia, Nicosia, Cyprus

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• George K. Christophides,

  Affiliations Department of Life Sciences, Faculty of Natural Sciences, Imperial College London, South Kensington Campus, London SW7 2AZ, United Kingdom, Computation-based Science and Technology Research Center, The Cyprus Institute, 2121 Aglantzia, Nicosia, Cyprus

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• Paul E. Parham

  * E-mail: k.erguler@cyi.ac.cy (KE); paul.parham@liverpool.ac.uk (PEP)

  Affiliation Department of Public Health and Policy, Faculty of Health and Life Sciences, University of Liverpool, Liverpool L69 3GL, United Kingdom

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