Literature DB >> 18494691

The risk of chikungunya fever in a dengue-endemic area.

Eduardo Massad1, Stefan Ma, Marcelo Nascimento Burattini, Ye Tun, Francisco Antonio Bezerra Coutinho, Li Wei Ang.   

Abstract

BACKGROUND: Chikungunya, an alphavirus of the Togaviridae family, causes a febrile disease transmitted to humans by the bite of infected Aedes mosquitoes. This infection is reaching endemic levels in many Southeast Asian countries. Symptoms include sudden onset of fever, chills, headache, nausea, vomiting, joint pain with or without swelling, low back pain, and rash. According to the World Health Organization, there are 2 billion people living in Aedes-infested areas. In addition, traveling to these areas is popular, making the potential risk of infections transmitted by the bite of infected Aedes mosquitoes very high.
METHODS: We proposed a mathematical model to estimate the risk of acquiring chikungunya fever in an Aedes-infested area by taking the prevalence of dengue fever into account. The basic reproduction number for chikungunya fever R(0chik) can be written as a function of the basic reproduction number of dengue R(0dengue) by calculating the ratio R(0chik)/R(0dengue). From R(0chik), we estimated the force of infection and the risk of acquiring the disease both for local residents of a dengue-endemic area and for travelers to this area.
RESULTS: We calculated that R(0chik) is 64.4% that of R(0dengue). The model was applied to a hypothetical situation, namely, estimating the individual risk of acquiring chikungunya fever in a dengue-endemic area, both for local inhabitants (22% in steady state) and for visiting travelers (from 0.31% to 1.23% depending on the time spent in the area).
CONCLUSIONS: The method proposed based on the output of a dynamical model is innovative and provided an estimation of the risk of infection, both for local inhabitants and for visiting travelers.

Entities:  

Mesh:

Year:  2008        PMID: 18494691     DOI: 10.1111/j.1708-8305.2008.00186.x

Source DB:  PubMed          Journal:  J Travel Med        ISSN: 1195-1982            Impact factor:   8.490


  22 in total

1.  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

2.  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

3.  Chikungunya and Dengue Virus Infections Among United States Community Service Volunteers Returning from the Dominican Republic, 2014.

Authors:  Alexander J Millman; Douglas H Esposito; Holly M Biggs; Michelle Decenteceo; Andrew Klevos; Elizabeth Hunsperger; Jorge Munoz-Jordan; Olga I Kosoy; Heidi McPherson; Carmen Sullivan; Dayton Voorhees; David Baron; Jim Watkins; Linda Gaul; Mark J Sotir; Gary Brunette; Marc Fischer; Tyler M Sharp; Emily S Jentes
Journal:  Am J Trop Med Hyg       Date:  2016-03-14       Impact factor: 2.345

4.  Dengue infections in non-immune travellers to Thailand.

Authors:  E Massad; J Rocklov; A Wilder-Smith
Journal:  Epidemiol Infect       Date:  2012-04-24       Impact factor: 4.434

5.  Cost risk benefit analysis to support chemoprophylaxis policy for travellers to malaria endemic countries.

Authors:  Eduardo Massad; Ben C Behrens; Francisco A B Coutinho; Ronald H Behrens
Journal:  Malar J       Date:  2011-05-17       Impact factor: 3.469

6.  Co-circulation of Chikungunya and Dengue viruses in Dengue endemic region of New Delhi, India during 2016.

Authors:  M Hisamuddin; A Tazeen; M Abdullah; M Islamuddin; N Parveen; A Islam; M I Faizan; A Hamza; I H Naqvi; H N Verma; A Malik; A Ahmed; S Parveen
Journal:  Epidemiol Infect       Date:  2018-07-10       Impact factor: 4.434

7.  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

Review 8.  The role of environmental variables on Aedes albopictus biology and chikungunya epidemiology.

Authors:  Joanna Waldock; Nastassya L Chandra; Jos Lelieveld; Yiannis Proestos; Edwin Michael; George Christophides; Paul E Parham
Journal:  Pathog Glob Health       Date:  2013-07       Impact factor: 2.894

Review 9.  Dynamic epidemiological models for dengue transmission: a systematic review of structural approaches.

Authors:  Mathieu Andraud; Niel Hens; Christiaan Marais; Philippe Beutels
Journal:  PLoS One       Date:  2012-11-06       Impact factor: 3.240

10.  A mathematical model of chikungunya dynamics and control: the major epidemic on Réunion Island.

Authors:  Laith Yakob; Archie C A Clements
Journal:  PLoS One       Date:  2013-03-06       Impact factor: 3.240

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