Dengue and the world football cup: a matter of timing.

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Barcellos, C ; Lowe, R (2014)
  • Publisher: Public Library of Science
  • Journal: PLoS Neglected Tropical Diseases (issn: 1935-2727, vol: 8)
  • Related identifiers: pmc: PMC4109900, doi: 10.1371/journal.pntd.0003022
  • Subject: Infectious Disease Surveillance | Seasons | Earth Sciences | Infectious Disease Epidemiology | Atmospheric Science | Epidemiology | Social Sciences | Climatology | Climate Modeling | Spatial Epidemiology | Medicine and Health Sciences | Viewpoints | Disease Surveillance | Human Geography
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    4. Villabona-Arenas CJ, de Oliveira JL, Capra CdS, Balarini K, Loureiro M, et al. (2014) Detection of four dengue serotypes suggests rise in hyperendemicity in urban centers of Brazil. PLoS Negl Trop Dis 8: e2620. doi:10.1371/ journal.pntd.0002620

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    6. Massad E, Wilder-Smith A, Ximenes R, Amaku M, Lopez LF, et al. (2014) Risk of symptomatic dengue for foreign visitors to the 2014 FIFA World Cup in Brazil. Mem Inst Oswaldo Cruz 109: 394-397.

    7. Chan M, Johansson MA (2012) The Incubation Periods of Dengue Viruses. PLoS ONE 7: e50972. doi:10.1371/journal.pone.0050972

    8. Lowe R, Bailey TC, Stephenson DB, Graham RJ, Coelho CAS, et al. (2011) Spatio-temporal modelling of climate-sensitive disease risk: Towards an early warning system for denguein Brazil. Comput Geosci. 37: 371-381.

    9. Lowe R, Bailey TC, Stephenson DB, Jupp TE, Graham RJ, et al. (2013) The development of an early warning system for climatesensitive disease risk with a focus on dengue epidemics in Southeast Brazil. Statist Med 32: 864-883.

    10. Lowe R, Barcellos C, Coelho CA, Bailey TC, Coelho GE, et al. (2014) Dengue outlook for the World Cup in Brazil: an early warning model framework driven by real-time seasonal climate forecasts. Lancet Infect Dis. E-pub a h e a d o f p r i n t . d o i : 1 0 . 1 0 1 6 / S 1 4 7 3 - 3099(14)70781-9

  • Related Research Results (1)
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