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COVID-19 in Great Britain: epidemiological and clinical characteristics of the first few hundred (FF100) cases: a descriptive case series and case control analysis
Nicola L Boddington; Andre Charlett; Suzanne Elgohari; Jemma L Walker; Helen Mcdonald; Chloe Byers; Laura Coughlan; Tatiana Garcia Vilaplana; Rosie Whillock; Mary Sinnathamby; Nikolaos Panagiotopoulos; Louise Letley; Pauline MacDonald; Roberto Vivancos; Obaghe Edeghere; Joseph Shingleton; Emma Bennett; Daniel J Grint; Helen Strongman; Kathryn E Mansfield; Christopher Rentsch; Caroline Minassian; Ian J Douglas; Rohini Mathur; Maria Peppa; Simon Cottrell; Jim McMenamin; Maria Zambon; Mary Ramsay; Gavin Dabrera; Vanessa Saliba; Jamie Lopez Bernal.
Affiliation
  • Nicola L Boddington; Public Health England
  • Andre Charlett; Public Health England
  • Suzanne Elgohari; Public Health England
  • Jemma L Walker; London School of Hygiene and Tropical Medicine
  • Helen Mcdonald; London School of Hygiene and Tropical Medicine
  • Chloe Byers; Public Health England
  • Laura Coughlan; Public Health England
  • Tatiana Garcia Vilaplana; Public Health England
  • Rosie Whillock; Public Health England
  • Mary Sinnathamby; Public Health England
  • Nikolaos Panagiotopoulos; Public Health England
  • Louise Letley; Public Health England
  • Pauline MacDonald; Public Health England
  • Roberto Vivancos; Public Health England
  • Obaghe Edeghere; Public Health England
  • Joseph Shingleton; Public Health England
  • Emma Bennett; Public Health England
  • Daniel J Grint; London School of Hygiene and Tropical Medicine
  • Helen Strongman; London School of Hygiene and Tropical Medicine
  • Kathryn E Mansfield; London School of Hygiene and Tropical Medicine
  • Christopher Rentsch; London School of Hygiene and Tropical Medicine
  • Caroline Minassian; London School of Hygiene and Tropical Medicine
  • Ian J Douglas; London School of Hygiene and Tropical Medicine
  • Rohini Mathur; London School of Hygiene and Tropical Medicine
  • Maria Peppa; London School of Hygiene and Tropical Medicine
  • Simon Cottrell; Public Health Wales
  • Jim McMenamin; Public Health Scotland
  • Maria Zambon; Public Health England
  • Mary Ramsay; Public Health England
  • Gavin Dabrera; Public Health England
  • Vanessa Saliba; Public Health England
  • Jamie Lopez Bernal; Public Health England
Preprint in English | medRxiv | ID: ppmedrxiv-20086157
ABSTRACT
ObjectivesFollowing detection of the first virologically-confirmed cases of COVID-19 in Great Britain, an enhanced surveillance study was initiated by Public Health England to describe the clinical presentation, course of disease and underlying health conditions associated with infection of the first few hundred cases. MethodsInformation was collected on the first COVID-19 cases according to the First Few X WHO protocol. Case-control analyses of the sensitivity, specificity and predictive value of symptoms and underlying health conditions associated with infection were conducted. Point prevalences of underlying health conditions among the UK general population were presented. FindingsThe majority of FF100 cases were imported (51.4%), of which the majority had recent travel to Italy (71.4%). 24.7% were secondary cases acquired mainly through household contact (40.4%). Children had lower odds of COVID-19 infection compared with the general population. The clinical presentation of cases was dominated by cough, fever and fatigue. Non-linear relationships with age were observed for fever, and sensitivity and specificity of symptoms varied by age. Conditions associated with higher odds of COVID-19 infection (after adjusting for age and sex) were chronic heart disease, immunosuppression and multimorbidity. ConclusionThis study presents the first epidemiological and clinical summary of COVID-19 cases in Great Britain. The FFX study design enabled systematic data collection. The study characterized underlying health conditions associated with infection and set relative risks in context with population prevalence estimates. It also provides important evidence for generating case definitions to support public health risk assessment, clinical triage and diagnostic algorithms.
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Full text: Available Collection: Preprints Database: medRxiv Type of study: Diagnostic study / Observational study / Prognostic study / Systematic review Language: English Year: 2020 Document type: Preprint
Full text: Available Collection: Preprints Database: medRxiv Type of study: Diagnostic study / Observational study / Prognostic study / Systematic review Language: English Year: 2020 Document type: Preprint
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