Literature DB >> 30133603

Dengue in Brazil in 2017: what happened?

Thaísa Regina Rocha Lopes1, Caroline Simões Silva2, André Filipe Pastor3, José Valter Joaquim Silva Júnior2.   

Abstract

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Year:  2018        PMID: 30133603      PMCID: PMC6103327          DOI: 10.1590/S1678-9946201860043

Source DB:  PubMed          Journal:  Rev Inst Med Trop Sao Paulo        ISSN: 0036-4665            Impact factor:   1.846


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Dear Editor Brazil is a dengue-endemic country and over the years has been facing several outbreaks caused by different serotypes of the virus. More recently, between 2015 and 2016, the country reported an annual average of 1,586,155 probable cases , . However, in 2017, two or four years after the probable introduction of Zika virus (ZIKV) , , Brazil experienced a decrease in dengue fever to 252,054 cases, besides a reduction in the number of severe dengue and deaths . In 2017, the number of Zika cases also declined in Brazil in comparison to the previous year, about 92% reduction . The decrease in Zika cases influenced by anti-ZIKV herd immunity has already been previously discussed , . However, regarding dengue disease, the causes of this decline are still not fully understood. Indeed, as shown below, the current data on herd immunity, cross-reactions between Dengue virus (DENV) and ZIKV, mosquito ecology, vector control measures and environmental factors are not sufficient to explain the dengue scenario in 2017. First, the anti-dengue herd immunity does not seem to explain the decline in dengue cases in 2017. In Brazil, between 2009 and 2016, DENV-1 was the most prevalent serotype . In the year 2015, for instance, the prevalence of DENV-1, DENV-2, DENV-3 and DENV-4 was 94.1, 0.7, 0.4 and 4.8%, respectively . In the same way, in 2016 (up to epidemiological week 4), prevalences were 97.24, 0.69, 0.69 and 1.38% to DENV-1, DENV-2, DENV-3 and DENV-4, respectively . In 2017, however, serotype 2 was the most prevalent (54.3%) . This very low prevalence of DENV-2 in the years 2015 and 2016 reduces the possibility that dengue cases have fallen in 2017 due to the anti-DENV-2 herd immunity. In another perspective, the studies on cross-reactivity between DENV and ZIKV also do not explain the fall in dengue cases in 2017. Regarding anti-ZIKV immunity in relation to DENV infections, to our knowledge, there are only two reports on the in vivo modulation of anti-ZIKV antibodies with respect to DENV infection: Stettler et al. and George et al. demonstrated the increase of DENV-2 infection by anti-ZIKV antibodies in mice and rhesus monkeys. Interestingly, DENV-2, as commented above, was the most prevalent serotype in 2017 in Brazil . In this way, it would be expected that the herd immunity against ZIKV would increase, but not decrease the number of dengue cases in Brazil. In Salvador, Brazil, Ribeiro et al. suggested that the decrease in dengue cases between 2015 and 2017 would be the result of the cross-herd immunity to ZIKV. Although Ribeiro et al. did not mention the circulating DENV serotypes in Salvador during the study, data from the Brazilian Ministry of Health demonstrated that the serotypes identified in Bahia in 2015 were DENV-1 (96.3%) and DENV-4 (3.7%) (data for 2016 and 2017 were not found). In addition to the immunological explanations, vector-related factors should also be considered. About this, the increase of confirmed cases of chikungunya between 2016 and 2017, from 151,318 to 151,966 , weakens the hypothesis of the fall of DENV infection in 2017 as a consequence of vector control measures or environmental factors. Since 2015, DENV, ZIKV and Chikungunya virus (CHIKV) circulate in Brazil and Aedes aegypti coinfection with these arboviruses could favor the transmission of a specific virus, reflecting the change in the epidemiological pattern. However, when the vector was coinfected with two or three arboviruses (DENV-CHIKV and DENV-ZIKV) no advantages were observed for any of these viruses - . Therefore, despite the progress on cross-reactivity studies between flaviviruses and on the mosquito ecology, we believe that a more detailed analysis of the variables involved in the DENV-ZIKV interaction is required. We recognize that arboviruses outbreaks result from a complex interaction among several factors, such as environmental determinants, mosquito ecology, viral genetics, behavior and immunological background of the population , , - . However, it is important that the immunological studies are redesigned and carried out taking into account the multiple variables capable of influencing the cross-reaction between DENV and ZIKV: a) existence of different DENV serotypes, mainly DENV-4, which forms a group considerably distant from DENV-1, -2 and -3 ; b) animal model for in vivo studies; c) naïve populations or with history of previous flaviviruses infections; d) coinfection or immunity to other flaviviruses (e.g. Yellow fever virus and West Nile virus); e) existence of antibodies against conserved or flavivirus-specific regions of the envelope protein; f) genetic diversity of individuals’ immune responses; g) intrinsic factors related to the viruses, such as possible mutations, mainly in the gene sequence coding for the envelope. Finally, we argue that only by narrowing the gap between laboratory assays and natural infections it will be possible to make substantiated interpretations on the epidemiology of the areas with flaviviruses co-circulation.
  14 in total

Review 1.  The ocurrence of dengue and weather changes in Brazil: a systematic review.

Authors:  Dione Viero Viana; Eliane Ignotti
Journal:  Rev Bras Epidemiol       Date:  2013-06

2.  Specificity, cross-reactivity, and function of antibodies elicited by Zika virus infection.

Authors:  Karin Stettler; Martina Beltramello; Diego A Espinosa; Victoria Graham; Antonino Cassotta; Siro Bianchi; Fabrizia Vanzetta; Andrea Minola; Stefano Jaconi; Federico Mele; Mathilde Foglierini; Mattia Pedotti; Luca Simonelli; Stuart Dowall; Barry Atkinson; Elena Percivalle; Cameron P Simmons; Luca Varani; Johannes Blum; Fausto Baldanti; Elisabetta Cameroni; Roger Hewson; Eva Harris; Antonio Lanzavecchia; Federica Sallusto; Davide Corti
Journal:  Science       Date:  2016-07-14       Impact factor: 47.728

3.  Does immunity after Zika virus infection cross-protect against dengue?

Authors:  Guilherme Sousa Ribeiro; Mariana Kikuti; Laura B Tauro; Leile Camila J Nascimento; Cristiane W Cardoso; Gúbio S Campos; Albert I Ko; Scott C Weaver; Mitermayer G Reis; Uriel Kitron
Journal:  Lancet Glob Health       Date:  2018-02       Impact factor: 26.763

4.  Epidemiology, clinical manifestations, and diagnosis of Chikungunya fever: lessons learned from the re-emerging epidemic.

Authors:  Alladi Mohan; D H N Kiran; I Chiranjeevi Manohar; D Prabath Kumar
Journal:  Indian J Dermatol       Date:  2010       Impact factor: 1.494

5.  First report of autochthonous transmission of Zika virus in Brazil.

Authors:  Camila Zanluca; Vanessa Campos Andrade de Melo; Ana Luiza Pamplona Mosimann; Glauco Igor Viana Dos Santos; Claudia Nunes Duarte Dos Santos; Kleber Luz
Journal:  Mem Inst Oswaldo Cruz       Date:  2015-06-09       Impact factor: 2.743

6.  Prior Exposure to Zika Virus Significantly Enhances Peak Dengue-2 Viremia in Rhesus Macaques.

Authors:  Jeffy George; William G Valiant; Mary J Mattapallil; Michelle Walker; Yan-Jang S Huang; Dana L Vanlandingham; John Misamore; Jack Greenhouse; Deborah E Weiss; Daniela Verthelyi; Stephen Higgs; Hanne Andersen; Mark G Lewis; Joseph J Mattapallil
Journal:  Sci Rep       Date:  2017-09-05       Impact factor: 4.379

7.  Impact of simultaneous exposure to arboviruses on infection and transmission by Aedes aegypti mosquitoes.

Authors:  Claudia Rückert; James Weger-Lucarelli; Selene M Garcia-Luna; Michael C Young; Alex D Byas; Reyes A Murrieta; Joseph R Fauver; Gregory D Ebel
Journal:  Nat Commun       Date:  2017-05-19       Impact factor: 14.919

8.  Zika virus in the Americas: Early epidemiological and genetic findings.

Authors:  Nuno Rodrigues Faria; Raimunda do Socorro da Silva Azevedo; Oliver G Pybus; Marcio R T Nunes; Pedro F C Vasconcelos; Moritz U G Kraemer; Renato Souza; Mariana Sequetin Cunha; Sarah C Hill; Julien Thézé; Michael B Bonsall; Thomas A Bowden; Ilona Rissanen; Iray Maria Rocco; Juliana Silva Nogueira; Adriana Yurika Maeda; Fernanda Giseli da Silva Vasami; Fernando Luiz de Lima Macedo; Akemi Suzuki; Sueli Guerreiro Rodrigues; Ana Cecilia Ribeiro Cruz; Bruno Tardeli Nunes; Daniele Barbosa de Almeida Medeiros; Daniela Sueli Guerreiro Rodrigues; Alice Louize Nunes Queiroz; Eliana Vieira Pinto da Silva; Daniele Freitas Henriques; Elisabeth Salbe Travassos da Rosa; Consuelo Silva de Oliveira; Livia Caricio Martins; Helena Baldez Vasconcelos; Livia Medeiros Neves Casseb; Darlene de Brito Simith; Jane P Messina; Leandro Abade; José Lourenço; Luiz Carlos Junior Alcantara; Maricélia Maia de Lima; Marta Giovanetti; Simon I Hay; Rodrigo Santos de Oliveira; Poliana da Silva Lemos; Layanna Freitas de Oliveira; Clayton Pereira Silva de Lima; Sandro Patroca da Silva; Janaina Mota de Vasconcelos; Luciano Franco; Jedson Ferreira Cardoso; João Lídio da Silva Gonçalves Vianez-Júnior; Daiana Mir; Gonzalo Bello; Edson Delatorre; Kamran Khan; Marisa Creatore; Giovanini Evelim Coelho; Wanderson Kleber de Oliveira; Robert Tesh
Journal:  Science       Date:  2016-03-24       Impact factor: 47.728

Review 9.  Epidemiological Scenario of Dengue in Brazil.

Authors:  Rafaelle C G Fares; Katia P R Souza; Germán Añez; Maria Rios
Journal:  Biomed Res Int       Date:  2015-08-30       Impact factor: 3.411

10.  High Zika Virus Seroprevalence in Salvador, Northeastern Brazil Limits the Potential for Further Outbreaks.

Authors:  Eduardo Martins Netto; Andres Moreira-Soto; Celia Pedroso; Christoph Höser; Sebastian Funk; Adam J Kucharski; Alexandra Rockstroh; Beate M Kümmerer; Gilmara Souza Sampaio; Estela Luz; Sara Nunes Vaz; Juarez Pereira Dias; Fernanda Anjos Bastos; Renata Cabral; Thomas Kistemann; Sebastian Ulbert; Xavier de Lamballerie; Thomas Jaenisch; Oliver J Brady; Christian Drosten; Manoel Sarno; Carlos Brites; Jan Felix Drexler
Journal:  mBio       Date:  2017-11-14       Impact factor: 7.867

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  7 in total

1.  The decline of dengue in the Americas in 2017: discussion of multiple hypotheses.

Authors:  Freddy Perez; Anthony Llau; Gamaliel Gutierrez; Haroldo Bezerra; Giovanini Coelho; Steven Ault; Sulamita Brandao Barbiratto; Marcelo Carballo de Resende; Lizbeth Cerezo; Giovanni Luz Kleber; Oscar Pacheco; Octavio Lenin Perez; Victor Picos; Diana P Rojas; Joao Bosco Siqueira; Marco Fidel Suarez; Eva Harris; Luis Gerardo Castellanos; Carlos Espinal; Jose Luis San Martin
Journal:  Trop Med Int Health       Date:  2019-01-28       Impact factor: 2.622

Review 2.  Recent advances in understanding dengue.

Authors:  Scott Halstead
Journal:  F1000Res       Date:  2019-07-31

3.  Exploring the influence of deforestation on dengue fever incidence in the Brazilian Amazonas state.

Authors:  Alexandra Kalbus; Vanderson de Souza Sampaio; Juliane Boenecke; Ralf Reintjes
Journal:  PLoS One       Date:  2021-01-07       Impact factor: 3.240

4.  Retrospective cross-sectional observational study on the epidemiological profile of dengue cases in Pernambuco state, Brazil, between 2015 and 2017.

Authors:  Iasmyn Dayanne Santos do Nascimento; André Filipe Pastor; Thaísa Regina Rocha Lopes; Pablo Cantalice Santos Farias; Juliana Prado Gonçales; Rodrigo Feliciano do Carmo; Ricardo Durães-Carvalho; Caroline Simões da Silva; José Valter Joaquim Silva Júnior
Journal:  BMC Public Health       Date:  2020-06-12       Impact factor: 3.295

5.  Spatial-Temporal Assessment of Environmental Factors Related to Dengue Outbreaks in São Paulo, Brazil.

Authors:  I Ogashawara; L Li; M J Moreno-Madriñán
Journal:  Geohealth       Date:  2019-08-21

6.  Spatial modelling of the infestation indices of Aedes aegypti: an innovative strategy for vector control actions in developing countries.

Authors:  Ana Carolina Policarpo Cavalcante; Ricardo Alves de Olinda; Alexandrino Gomes; John Traxler; Matt Smith; Silvana Santos
Journal:  Parasit Vectors       Date:  2020-04-16       Impact factor: 3.876

7.  Spatiotemporal dynamics, risk areas and social determinants of dengue in Northeastern Brazil, 2014-2017: an ecological study.

Authors:  Rodrigo Feliciano do Carmo; José Valter Joaquim Silva Júnior; Andre Filipe Pastor; Carlos Dornels Freire de Souza
Journal:  Infect Dis Poverty       Date:  2020-11-03       Impact factor: 4.520

  7 in total

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