2023
Dengue Fever Surveillance in Mato Grosso do Sul: Insights from Genomic Analysis and Implications for Public Health Strategies
de Arruda L, Giovanetti M, Fonseca V, Zardin M, de Castro Lichs G, Asato S, Esposito A, Müller M, Xavier J, Fritsch H, Lima M, de Oliveira C, Santos E, de Mello Almeida Maziero L, Frias D, Neves D, da Silva L, Barretos E, Oshiro P, Goday B, dos Santos J, Kashima S, de Albuquerque C, do Carmo Said R, Rosewell A, Demarchi L, Croda J, Alcantara L, Gonçalves C. Dengue Fever Surveillance in Mato Grosso do Sul: Insights from Genomic Analysis and Implications for Public Health Strategies. Viruses 2023, 15: 1790. PMID: 37766197, PMCID: PMC10536684, DOI: 10.3390/v15091790.Peer-Reviewed Original ResearchConceptsInforming public health actionOn-site training programDiverse viral lineagesPublic health actionPublic health strategiesMultiple introduction eventsSecretary of HealthMonitoring viral evolutionHealth strategiesHealth actionsGenome sequenceGenomic analysisDynamics of dengue virusTraining programIntroduction eventsGenomic surveillanceViral transmission patternsViral lineagesPublic healthHealthMato GrossoEpidemiological dataViral evolutionPreventive measuresSurveillance activities
2022
Genomic epidemiology of the SARS-CoV-2 epidemic in Brazil
Giovanetti M, Slavov S, Fonseca V, Wilkinson E, Tegally H, Patané J, Viala V, San E, Rodrigues E, Santos E, Aburjaile F, Xavier J, Fritsch H, Adelino T, Pereira F, Leal A, Iani F, de Carvalho Pereira G, Vazquez C, Sanabria G, Oliveira E, Demarchi L, Croda J, dos Santos Bezerra R, Paola Oliveira de Lima L, Martins A, Renata dos Santos Barros C, Marqueze E, de Souza Todao Bernardino J, Moretti D, Brassaloti R, de Lello Rocha Campos Cassano R, Mariani P, Kitajima J, Santos B, Proto-Siqueira R, Cantarelli V, Tosta S, Nardy V, Reboredo de Oliveira da Silva L, Gómez M, Lima J, Ribeiro A, Guimarães N, Watanabe L, Barbosa Da Silva L, da Silva Ferreira R, da Penha M, Ortega M, de la Fuente A, Villalba S, Torales J, Gamarra M, Aquino C, Figueredo G, Fava W, Motta-Castro A, Venturini J, do Vale Leone de Oliveira S, Gonçalves C, do Carmo Debur Rossa M, Becker G, Giacomini M, Marques N, Riediger I, Raboni S, Mattoso G, Cataneo A, Zanluca C, Duarte dos Santos C, Assato P, Allan da Silva da Costa F, Poleti M, Lesbon J, Mattos E, Banho C, Sacchetto L, Moraes M, Grotto R, Souza-Neto J, Nogueira M, Fukumasu H, Coutinho L, Calado R, Neto R, Bispo de Filippis A, Venancio da Cunha R, Freitas C, Peterka C, de Fátima Rangel Fernandes C, Navegantes W, do Carmo Said R, Campelo de A e Melo C, Almiron M, Lourenço J, de Oliveira T, Holmes E, Haddad R, Sampaio S, Elias M, Kashima S, Junior de Alcantara L, Covas D. Genomic epidemiology of the SARS-CoV-2 epidemic in Brazil. Nature Microbiology 2022, 7: 1490-1500. PMID: 35982313, PMCID: PMC9417986, DOI: 10.1038/s41564-022-01191-z.Peer-Reviewed Original ResearchConceptsVariants of concernSARS-CoV-2 variantsLocal transmission clustersSARS-CoV-2 epidemicSARS-CoV-2COVID-19 casesTransmission clustersVirus transmission dynamicsSustained transmissionMultiple importationsMultiple viral lineagesGenomic epidemiologyGenomic surveillanceReal-time spreadTransmission dynamicsEpidemicViral lineagesHigher numberPandemicRestriction measuresEpidemiologyVariants