2024
Insights into SARS-CoV-2 Surveillance among Prison Populations in Mato Grosso do Sul, Brazil, in 2022
da Silva L, Alcantara L, Fonseca V, Frias D, Zardin M, de Castro Lichs G, Esposito A, Xavier J, Fritsch H, Lima M, de Oliveira C, de Arruda L, de Mello Almeida Maziero L, Barretos E, Oshiro P, Menezes E, de Freitas Cardoso L, Lemos E, Lourenço J, de Albuquerque C, do Carmo Said R, Rosewell A, Demarchi L, Croda J, Giovanetti M, Gonçalves C. Insights into SARS-CoV-2 Surveillance among Prison Populations in Mato Grosso do Sul, Brazil, in 2022. Viruses 2024, 16: 1143. PMID: 39066305, PMCID: PMC11281713, DOI: 10.3390/v16071143.Peer-Reviewed Original ResearchConceptsNext-generation sequencingPrison populationIncarcerated populationsOvercrowded cellsGenome sequenceGenomic characteristicsPrisonGenomic surveillanceEnclosed populationMato GrossoAverage coverageIsolation protocolSARS-CoV-2RT-qPCR testSARS-CoV-2 surveillanceRT-qPCRSequenceFrequent transferEpidemiological monitoringLimited healthcare accessGenomeCellsOmicron variant
2023
Genomic characterization of SARS-CoV-2 from an indigenous reserve in Mato Grosso do Sul, Brazil
de Oliveira L, de Rezende I, Navarini V, Marchioro S, Torres A, Croda J, Croda M, Gonçalves C, Xavier J, de Castro E, Lima M, Iani F, Adelino T, Aburjaile F, Demarchi L, Taira D, Zardin M, Fonseca V, Giovanetti M, Andrews J, Alcantara L, Simionatto S. Genomic characterization of SARS-CoV-2 from an indigenous reserve in Mato Grosso do Sul, Brazil. Frontiers In Public Health 2023, 11: 1195779. PMID: 37965526, PMCID: PMC10641392, DOI: 10.3389/fpubh.2023.1195779.Peer-Reviewed Original ResearchConceptsSARS-CoV-2 lineagesIntroduction eventsCharacterization of SARS-CoV-2Nanopore sequencing platformSARS-CoV-2 positive samplesMultiple SARS-CoV-2 variantsMultiple introduction eventsPhylogenetic reconstructionPhylogenetic dataGenome sequenceSequencing platformsGenomic characterizationSARS-CoV-2Genomic surveillanceSARS-CoV-2 variantsLineagesMato GrossoMortality rateViral dynamicsIndigenous populationCo-circulationPrevalence of malesMidwestern BrazilPositive samplesIndigenous mobilizationDengue 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 activitiesUnveiling the Impact of the Omicron Variant: Insights from Genomic Surveillance in Mato Grosso do Sul, Midwest Brazil
de Mello Almeida Maziero L, Giovanetti M, Fonseca V, Zardin M, de Castro Lichs G, de Rezende Romera G, Tsuha D, Frias D, Escandolhero V, Demarchi L, Castilho L, Barbosa K, Tebet D, Xavier J, Fritsch H, Lima M, de Oliveira C, Santos E, Kashima S, do Carmo Said R, Rosewell A, Croda J, Alcantara L, Gonçalves C. Unveiling the Impact of the Omicron Variant: Insights from Genomic Surveillance in Mato Grosso do Sul, Midwest Brazil. Viruses 2023, 15: 1604. PMID: 37515290, PMCID: PMC10386548, DOI: 10.3390/v15071604.Peer-Reviewed Original ResearchConceptsGenomic surveillanceWhole-genome sequencingMultiple introduction eventsGenome sequencePublic health interventionsGenomic dataGenomic monitoringIntroduction eventsPublic health responseGenomic landscapeDispersal dynamicsPhylodynamic analysesPublic health laboratoriesHealth interventionsMato GrossoHealth responseTransmissible variantsSignificant burdenCentral Public Health LaboratoryOmicron variantVariantsHealth laboratoriesSequenceMidwest region of BrazilViral strains