Last data update: May 06, 2024. (Total: 46732 publications since 2009)
Records 1-3 (of 3 Records) |
Query Trace: da Silva JF[original query] |
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Cluster of SARS-CoV-2 Gamma Variant Infections, Parintins, Brazil, March 2021.
da Silva JF , Esteves RJ , Siza C , Soares EP , Ramos TC , Campelo EC , da Costa CF , de Alencar LC , Cavalcante RP , Florêncio CR , Mattos TP , Bonecini-Almeida MG , Silva-Flannery L , Marston BJ , Morgan J , Plucinski M , Naveca F . Emerg Infect Dis 2021 28 (1) 262-264 High case counts after the Gamma (P. 1) variant of severe acute respiratory syndrome coronavirus 2 emerged in Brazil raised concerns that previously infected persons might become reinfected. Investigation of a cluster of coronavirus disease cases in Parintins, in the Brazilian Amazon, suggested household transmission but did not identify high rates of reinfection. |
Epidemiologic Findings from Case Investigations and Contact Tracing for First 200 Cases of Coronavirus Disease, Santa Clara County, California, USA.
Ortiz N , Villarino E , Lee JT , Bajema KL , Ricaldi JN , Smith S , Lin W , Cortese M , Barskey AE , Da Silva JF , Bonin BJ , Rudman S , Han GS , Fischer M , Chai SJ , Cody SH . Emerg Infect Dis 2021 27 (5) 1301-1308 In January 2020, Santa Clara County, California, USA, began identifying laboratory-confirmed coronavirus disease among residents. County staff conducted case and contact investigations focused on households and collected detailed case demographic, occupation, exposure, and outcome information. We describe the first 200 test-positive cases during January 31-March 20, 2020, to inform future case and contact investigations. Probable infection sources included community transmission (104 cases), known close contact with a confirmed case-patient (66 cases), and travel (30 cases). Disease patterns across race and ethnicity, occupational, and household factors suggested multiple infection risk factors. Disproportionately high percentages of case-patients from racial and ethnic subgroups worked outside the home (Hispanic [86%] and Filipino [100%]); household transmission was more common among persons from Vietnam (53%). Even with the few initial cases, detailed case and contact investigations of household contacts capturing occupational and disaggregated race and ethnicity data helped identify at-risk groups and focused solutions for disease control. |
COVID-19 Clinical Phenotypes: Presentation and Temporal Progression of Disease in a Cohort of Hospitalized Adults in Georgia, United States.
da Silva JF , Hernandez-Romieu AC , Browning SD , Bruce BB , Natarajan P , Morris SB , Gold JAW , Neblett Fanfair R , Rogers-Brown J , Rossow J , Szablewski CM , Oosmanally N , D'Angelo MT , Drenzek C , Murphy DJ , Hollberg J , Blum JM , Jansen R , Wright DW , Sewell W , Owens J , Lefkove B , Brown FW , Burton DC , Uyeki TM , Patel PR , Jackson BR , Wong KK . Open Forum Infect Dis 2021 8 (1) ofaa596 BACKGROUND: The epidemiological features and outcomes of hospitalized adults with coronavirus disease 2019 (COVID-19) have been described; however, the temporal progression and medical complications of disease among hospitalized patients require further study. Detailed descriptions of the natural history of COVID-19 among hospitalized patients are paramount to optimize health care resource utilization, and the detection of different clinical phenotypes may allow tailored clinical management strategies. METHODS: This was a retrospective cohort study of 305 adult patients hospitalized with COVID-19 in 8 academic and community hospitals. Patient characteristics included demographics, comorbidities, medication use, medical complications, intensive care utilization, and longitudinal vital sign and laboratory test values. We examined laboratory and vital sign trends by mortality status and length of stay. To identify clinical phenotypes, we calculated Gower's dissimilarity matrix between each patient's clinical characteristics and clustered similar patients using the partitioning around medoids algorithm. RESULTS: One phenotype of 6 identified was characterized by high mortality (49%), older age, male sex, elevated inflammatory markers, high prevalence of cardiovascular disease, and shock. Patients with this severe phenotype had significantly elevated peak C-reactive protein creatinine, D-dimer, and white blood cell count and lower minimum lymphocyte count compared with other phenotypes (Pā <ā .01, all comparisons). CONCLUSIONS: Among a cohort of hospitalized adults, we identified a severe phenotype of COVID-19 based on the characteristics of its clinical course and poor prognosis. These findings need to be validated in other cohorts, as improved understanding of clinical phenotypes and risk factors for their development could help inform prognosis and tailored clinical management for COVID-19. |
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