4 research outputs found

    Chikungunya risk for Brazil

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    <div><p>This study aimed to show, based on the literature on the subject, the potential for dispersal and establishment of the chikungunya virus in Brazil. The chikungunya virus, a Togaviridae member of the genusAlphavirus, reached the Americas in 2013 and, the following year, more than a million cases were reported. In Brazil, indigenous transmission was registered in Amapa and Bahia States, even during the period of low rainfall, exposing the whole country to the risk of virus spreading. Brazil is historically infested by Ae. aegypti and Ae. albopictus, also dengue vectors. Chikungunya may spread, and it is important to take measures to prevent the virus from becoming endemic in the country. Adequate care for patients with chikungunya fever requires training general practitioners, rheumatologists, nurses, and experts in laboratory diagnosis. Up to November 2014, more than 1,000 cases of the virus were reported in Brazil. There is a need for experimental studies in animal models to understand the dynamics of infection and the pathogenesis as well as to identify pathophysiological mechanisms that may contribute to identifying effective drugs against the virus. Clinical trials are needed to identify the causal relationship between the virus and serious injuries observed in different organs and joints. In the absence of vaccines or effective drugs against the virus, currently the only way to prevent the disease is vector control, which will also reduce the number of cases of dengue fever.</p></div

    Epidemiological Data: Numbers of suspected ZIKV cases and suspected microcephaly cases per state and per epidemiological week.

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    Contains 1) CSV file with number suspected ZIKV cases from January 2015 to the end of December 2015; 2) CSV file with number of suspected microcephaly cases from January 2015 to the first week of January 2016. Numbers correspond to suspected microcephaly cases at week 20 of pregnancy; 3) CSV file with codes of state of residence and municipality of residence in Brazil; and 4) R scripts for correlation analysis described in SI Section 1.5

    Sequence data details and alignments for dataset A and B.

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    Contains (1) table with accession numbers, isolate names, cell passage history, publication details, country/location of sampling, sampling dates and (2) Fasta format sequence alignments of datasets A and B

    BEAST XML input file used for genetic analysis.

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    BEAST XML input file used to generate Figure 3 under a strict clock model, a Bayesian skyline coalescent prior and a CTMC prior on the clock rate
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