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
in En
| MEDLINE
| ID: mdl-33481757
Key words
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
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Communicable Disease Control
/
COVID-19
Type of study:
Observational_studies
/
Prognostic_studies
/
Risk_factors_studies
/
Screening_studies
Limits:
Humans
Country/Region as subject:
America do norte
Language:
En
Journal:
J Med Internet Res
Journal subject:
INFORMATICA MEDICA
Year:
2021
Type:
Article
Affiliation country:
United States