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Estimation of local novel coronavirus (COVID-19) cases in Wuhan, China from off-site reported cases and population flow data from different sources
Preprint
en En
| PREPRINT-MEDRXIV
| ID: ppmedrxiv-20030080
ABSTRACT
BackgroundsIn December 2019, a novel coronavirus (COVID-19) pneumonia hit Wuhan, Hubei Province, China and spread to the rest of China and overseas. The emergence of this virus coincided with the Spring Festival Travel Rush in China. It is possible to estimate total number of cases of COVID-19 in Wuhan, by 23 January 2020, given the cases reported in other cities and population flow data between cities. MethodsWe built a model to estimate the total number of cases in Wuhan by 23 January 2020, based on the number of cases detected outside Wuhan city in China, with the assumption that if the same screening effort used in other cities applied in Wuhan. We employed population flow data from different sources between Wuhan and other cities/regions by 23 January 2020. The number of total cases was determined by the maximum log likelihood estimation. FindingsFrom overall cities/regions data, we predicted 1326 (95% CI 1177, 1484), 1151 (95% CI 1018, 1292) and 5277 (95% CI 4732, 5859) as total cases in Wuhan by 23 January 2020, based on different source of data from Changjiang Daily newspaper, Tencent, and Baidu. From separate cities/regions data, we estimated 1059 (95% CI 918, 1209), 5214 (95% CI 4659, 5808) as total cases in Wuhan in Wuhan by 23 January 2020, based on different sources of population flow data from Tencent and Baidu. ConclusionSources of population follow data and methods impact the estimates of local cases in Wuhan before city lock down.
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09-preprints
Base de datos:
PREPRINT-MEDRXIV
Tipo de estudio:
Diagnostic_studies
/
Prognostic_studies
Idioma:
En
Año:
2020
Tipo del documento:
Preprint