Literature DB >> 16553913

Early determination of the reproductive number for vector-borne diseases: the case of dengue in Brazil.

C Favier1, N Degallier, M G Rosa-Freitas, J P Boulanger, J R Costa Lima, J F Luitgards-Moura, C E Menkès, B Mondet, C Oliveira, E T S Weimann, P Tsouris.   

Abstract

OBJECTIVE: To evaluate a new method of deriving the reproductive number for vector-borne diseases from the early epidemic curves for vector-borne diseases with incubations in the vectors and in the hosts.
METHOD: We applied the model to several dengue epidemics in different climatic regions of Brazil: Brasilia, Belém, Fortaleza, Boa Vista.
RESULTS: The new method leads to higher estimates of the reproductive number than previous models.
CONCLUSION: At present, Aedes aegypti densities, the meeting of more compatible strains of viruses and mosquitoes, may lead to re-emergence of urban yellow fever epidemics.

Entities:  

Mesh:

Year:  2006        PMID: 16553913     DOI: 10.1111/j.1365-3156.2006.01560.x

Source DB:  PubMed          Journal:  Trop Med Int Health        ISSN: 1360-2276            Impact factor:   2.622


  34 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.  Comparative estimation of the reproduction number for pandemic influenza from daily case notification data.

Authors:  Gerardo Chowell; Hiroshi Nishiura; Luís M A Bettencourt
Journal:  J R Soc Interface       Date:  2007-02-22       Impact factor: 4.118

4.  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

5.  Estimating potential demand and supply of dengue vaccine in Brazil.

Authors:  Ananda Amarasinghe; Richard T Mahoney
Journal:  Hum Vaccin       Date:  2011-07-01

6.  Quantitative effects of a declaration of a state of emergency on foot-and-mouth disease.

Authors:  Takenori Yamauchi; Shouhei Takeuchi; Yoichiro Horii; Yuko Yamano; Yoshiki Kuroda; Toshio Nakadate
Journal:  Environ Health Prev Med       Date:  2016-03-31       Impact factor: 3.674

Review 7.  Models of the impact of dengue vaccines: a review of current research and potential approaches.

Authors:  Michael A Johansson; Joachim Hombach; Derek A T Cummings
Journal:  Vaccine       Date:  2011-06-23       Impact factor: 3.641

8.  Comparing dengue and chikungunya emergence and endemic transmission in A. aegypti and A. albopictus.

Authors:  Carrie A Manore; Kyle S Hickmann; Sen Xu; Helen J Wearing; James M Hyman
Journal:  J Theor Biol       Date:  2014-05-04       Impact factor: 2.691

9.  The effects of tertiary and quaternary infections on the epidemiology of dengue.

Authors:  Paul S Wikramaratna; Cameron P Simmons; Sunetra Gupta; Mario Recker
Journal:  PLoS One       Date:  2010-08-23       Impact factor: 3.240

10.  The basic reproduction number R0 and effectiveness of reactive interventions during dengue epidemics: the 2002 dengue outbreak in Easter Island, Chile.

Authors:  Gerardo Chowell; R Fuentes; A Olea; X Aguilera; H Nesse; J M Hyman
Journal:  Math Biosci Eng       Date:  2013 Oct-Dec       Impact factor: 2.080

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