2012
DOI: 10.4269/ajtmh.2012.11-0432
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Assessing the Risk of International Spread of Yellow Fever Virus: A Mathematical Analysis of an Urban Outbreak in Asunción, 2008

Abstract: Abstract. Yellow fever virus (YFV), a mosquito-borne virus endemic to tropical Africa and South America, is capable of causing large urban outbreaks of human disease. With the ease of international travel, urban outbreaks could lead to the rapid spread and subsequent transmission of YFV in distant locations. We designed a stochastic metapopulation model with spatiotemporally explicit transmissibility scenarios to simulate the global spread of YFV from a single urban outbreak by infected airline travelers. In s… Show more

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Cited by 59 publications
(67 citation statements)
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“…aegypti a muchos centros urbanos, pueda causar el resurgimiento de la fiebre amarilla urbana. Tal podría ser el caso de lo observado en Paraguay en 2008 (35).…”
Section: Significado En La Transmisión De Enfermedadesunclassified
“…aegypti a muchos centros urbanos, pueda causar el resurgimiento de la fiebre amarilla urbana. Tal podría ser el caso de lo observado en Paraguay en 2008 (35).…”
Section: Significado En La Transmisión De Enfermedadesunclassified
“…In the colon, thick mucus layers, composed of a dense inner mucus layer and a loose outer mucus layer, cover luminal surfaces of the epithelium. The majority of the gut microbiota are present in the outer mucus layer, and none are present in the dense inner mucus layer [13,14]. Inflammatory responses lead to a reduction in the number of goblet cells, reduced thickness of the mucus layer, and altered mucus composition [15,16].…”
Section: Introductionmentioning
confidence: 99%
“…Rates and routes of imported malaria have been shown to be significantly related to a combination of numbers of travellers to/from endemic destinations and the prevalence of malaria there [3]. The potential thus exists to construct a model based on global malaria prevalence [40,41], the local spatial interaction and accessibility to an airport within a region [60], transmission models for attack rate estimation [27], and traveller flow data [36], that can be used to forecast imported malaria rates, validated with imported malaria data reported by health facilities/organizations.…”
Section: Discussionmentioning
confidence: 99%