Dynamic Panel Data Modeling and Surveillance of COVID-19 in Metropolitan Areas in the United States: Longitudinal Trend Analysis.
J Med Internet Res
; 23(2): e26081, 2021 02 09.
Article
en En
| MEDLINE
| ID: mdl-33481757
Palabras clave
Arellano-Bond estimator; Atlanta; Baltimore; Boston; COVID-19; COVID-19 7-day lag; COVID-19 cities; COVID-19 metropolitan areas; COVID-19 transmission deceleration; COVID-19 transmission jerk; Charlotte; Chicago; Dallas; Denver; Detroit; GMM; Houston; Los Angeles; Miami; Minneapolis; New York City; Orlando; Philadelphia; Phoenix; Portland; Riverside; SARS-CoV-2; SARS-CoV-2 surveillance; San Antonio; San Diego; San Francisco; Seattle; St Louis; Tampa; US COVID-19; US COVID-19 surveillance system; US COVID-19 transmission acceleration; US COVID-19 transmission speed; US SARS-CoV-2; US econometrics; US public health surveillance; US surveillance metrics; Washington, DC; dynamic panel data; generalized method of moments; generalized method of the moments; global COVID-19 surveillance; second wave; wave 2; wave two
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Control de Enfermedades Transmisibles
/
COVID-19
Tipo de estudio:
Observational_studies
/
Prognostic_studies
/
Risk_factors_studies
/
Screening_studies
Límite:
Humans
País/Región como asunto:
America do norte
Idioma:
En
Revista:
J Med Internet Res
Asunto de la revista:
INFORMATICA MEDICA
Año:
2021
Tipo del documento:
Article
País de afiliación:
Estados Unidos