Unknown

Dataset Information

0

Estimating number of cases and spread of coronavirus disease (COVID-19) using critical care admissions, United Kingdom, February to March 2020.


ABSTRACT: An exponential growth model was fitted to critical care admissions from two surveillance databases to determine likely coronavirus disease (COVID-19) case numbers, critical care admissions and epidemic growth in the United Kingdom before the national lockdown. We estimate, on 23 March, a median of 114,000 (95% credible interval (CrI): 78,000-173,000) new cases and 258 (95% CrI: 220-319) new critical care reports, with 527,000 (95% CrI: 362,000-797,000) cumulative cases since 16 February.

SUBMITTER: Jit M 

PROVIDER: S-EPMC7219029 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature

altmetric image

Publications

Estimating number of cases and spread of coronavirus disease (COVID-19) using critical care admissions, United Kingdom, February to March 2020.

Jit Mark M   Jombart Thibaut T   Nightingale Emily S ES   Endo Akira A   Abbott Sam S   Edmunds W John WJ  

Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin 20200501 18


An exponential growth model was fitted to critical care admissions from two surveillance databases to determine likely coronavirus disease (COVID-19) case numbers, critical care admissions and epidemic growth in the United Kingdom before the national lockdown. We estimate, on 23 March, a median of 114,000 (95% credible interval (CrI): 78,000-173,000) new cases and 258 (95% CrI: 220-319) new critical care reports, with 527,000 (95% CrI: 362,000-797,000) cumulative cases since 16 February. ...[more]

Similar Datasets

| S-EPMC7258458 | biostudies-literature
| S-EPMC10184215 | biostudies-literature
| S-EPMC7392408 | biostudies-literature
| S-EPMC7201952 | biostudies-literature
| S-EPMC7160441 | biostudies-literature
| S-EPMC10302575 | biostudies-literature
| S-EPMC8198150 | biostudies-literature
| S-EPMC7068164 | biostudies-literature
| S-EPMC7119513 | biostudies-literature
| S-EPMC9272175 | biostudies-literature