Literature DB >> 11579875

The risk of yellow fever in a dengue-infested area.

E Massad1, F A Coutinho, M N Burattini, L F Lopez.   

Abstract

Yellow fever and dengue are viral infections that in urban centres are transmitted by the same arthropod vector, a mosquito of the genus Aedes. In order to estimate the risk of an epidemic of urban yellow fever in a dengue-infested area we calculated the threshold in the basic reproduction number, R0, of dengue, above which any single sylvatic yellow fever-infected individual will trigger an urban yellow fever epidemic. Specifically, we analysed the relationship between the extrinsic incubation period and the duration of viraemia, from which it is possible to define the R0 for dengue that would also suggest an outbreak potential for yellow fever. We also calculated the critical proportion of people to vaccinate against yellow fever in order to prevent an epidemic in a dengue-endemic area. The theory proposed is illustrated by the case of São Paulo State in southern Brazil, where dengue is endemic and the risk of urban yellow fever is already imminent.

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Year:  2001        PMID: 11579875     DOI: 10.1016/s0035-9203(01)90184-1

Source DB:  PubMed          Journal:  Trans R Soc Trop Med Hyg        ISSN: 0035-9203            Impact factor:   2.184


  41 in total

1.  Assessing the risk of international spread of yellow fever virus: a mathematical analysis of an urban outbreak in Asuncion, 2008.

Authors:  Michael A Johansson; Neysarí Arana-Vizcarrondo; Brad J Biggerstaff; Nancy Gallagher; Nina Marano; J Erin Staples
Journal:  Am J Trop Med Hyg       Date:  2012-02       Impact factor: 2.345

2.  Estimation of reproduction number and probable vector density of the first autochthonous dengue outbreak in Japan in the last 70 years.

Authors:  Hiroyuki Furuya
Journal:  Environ Health Prev Med       Date:  2015-08-23       Impact factor: 3.674

3.  Activation/modulation of adaptive immunity emerges simultaneously after 17DD yellow fever first-time vaccination: is this the key to prevent severe adverse reactions following immunization?

Authors:  M A Martins; M L Silva; A P V Marciano; V Peruhype-Magalhães; S M Eloi-Santos; j G L Ribeiro; R Correa-Oliveira; A Homma; E G Kroon; A Teixeira-Carvalho; O A Martins-Filho
Journal:  Clin Exp Immunol       Date:  2007-04       Impact factor: 4.330

Review 4.  The elimination of Chagas' disease from Brazil.

Authors:  E Massad
Journal:  Epidemiol Infect       Date:  2007-12-04       Impact factor: 2.451

5.  Modelling the control strategies against dengue in Singapore.

Authors:  M N Burattini; M Chen; A Chow; F A B Coutinho; K T Goh; L F Lopez; S Ma; E Massad
Journal:  Epidemiol Infect       Date:  2007-05-31       Impact factor: 2.451

6.  Vaccinating in disease-free regions: a vaccine model with application to yellow fever.

Authors:  Claudia T Codeço; Paula M Luz; Flavio Coelho; Alison P Galvani; Claudio Struchiner
Journal:  J R Soc Interface       Date:  2007-12-22       Impact factor: 4.118

7.  Spatial and temporal dynamics of dengue fever in Peru: 1994-2006.

Authors:  G Chowell; C A Torre; C Munayco-Escate; L Suárez-Ognio; R López-Cruz; J M Hyman; C Castillo-Chavez
Journal:  Epidemiol Infect       Date:  2008-04-08       Impact factor: 2.451

8.  Incubation periods of Yellow fever virus.

Authors:  Michael A Johansson; Neysarí Arana-Vizcarrondo; Brad J Biggerstaff; J Erin Staples
Journal:  Am J Trop Med Hyg       Date:  2010-07       Impact factor: 2.345

Review 9.  The global distribution of yellow fever and dengue.

Authors:  D J Rogers; A J Wilson; S I Hay; A J Graham
Journal:  Adv Parasitol       Date:  2006       Impact factor: 3.870

10.  Modeling the risk of malaria for travelers to areas with stable malaria transmission.

Authors:  Eduardo Massad; Ronald H Behrens; Marcelo N Burattini; Francisco A B Coutinho
Journal:  Malar J       Date:  2009-12-16       Impact factor: 2.979

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