Literature DB >> 12937709

Dengue and the risk of urban yellow fever reintroduction in São Paulo State, Brazil.

Eduardo Massad1, Marcelo Nascimento Burattini, Francisco Antonio Bezerra Coutinho, Luiz Fernandes Lopez.   

Abstract

OBJECTIVE: To propose a mathematical method for the estimation of the Basic Reproduction Number, R0, of urban yellow fever in a dengue-infested area.
METHODS: The method is based on the assumption that, as the same vector (Aedes aegypti) causes both infections, all the quantities related to the mosquito, estimated from the initial phase of dengue epidemic, could be applied to yellow fever dynamics. It is demonstrated that R0 for yellow fever is, on average, 43% lower than that for dengue. This difference is due to the longer dengue viremia and its shorter extrinsic incubation period.
RESULTS: In this study the analysis was expanded to the epidemiological situation of dengue in S o Paulo in the year 2001. The total number of dengue cases increased from 3,582 in 2000 to 51,348 in 2001. It was then calculated R0 for yellow fever for every city which have shown R0 of dengue greater than 1. It was also estimated the total number of unprotected people living in highly risky areas for urban yellow fever.
CONCLUSIONS: Currently there is a great number of non-vaccinated people living in Aedes aegypti infested area in the state of São Paulo.

Entities:  

Mesh:

Substances:

Year:  2003        PMID: 12937709     DOI: 10.1590/s0034-89102003000400013

Source DB:  PubMed          Journal:  Rev Saude Publica        ISSN: 0034-8910            Impact factor:   2.106


  21 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

Review 2.  The elimination of Chagas' disease from Brazil.

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

3.  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

4.  RNA interference inhibits yellow fever virus replication in vitro and in vivo.

Authors:  Carolina C Pacca; Adriana A Severino; Adriano Mondini; Paula Rahal; Solange G P D'avila; José Antonio Cordeiro; Mara Correa Lelles Nogueira; Roberta V M Bronzoni; Maurício L Nogueira
Journal:  Virus Genes       Date:  2009-01-25       Impact factor: 2.332

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.  Climate change influences on global distributions of dengue and chikungunya virus vectors.

Authors:  Lindsay P Campbell; Caylor Luther; David Moo-Llanes; Janine M Ramsey; Rogelio Danis-Lozano; A Townsend Peterson
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2015-04-05       Impact factor: 6.237

7.  What is the reproductive number of yellow fever?

Authors:  Ying Liu; Joacim Rocklöv
Journal:  J Travel Med       Date:  2020-11-09       Impact factor: 8.490

8.  Modeling Chikungunya control strategies and Mayaro potential outbreak in the city of Rio de Janeiro.

Authors:  Esteban Dodero-Rojas; Luiza G Ferreira; Vitor B P Leite; José N Onuchic; Vinícius G Contessoto
Journal:  PLoS One       Date:  2020-01-28       Impact factor: 3.240

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.  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

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.