COVID-19: data quality and considerations for modeling and analysis : report to congressional committees.

Format:

Book

Government document

Author/Creator:

United States. Government Accountability Office, author.

Series:

United States. Government Accountability Office. Technology assessment

Technology assessment / United States Government Accountability Office

Language:

English

Subjects (All):

Centers for Disease Control and Prevention (U.S.)--Rules and practice.

Centers for Disease Control and Prevention (U.S.).

United States. Coronavirus Aid, Relief, and Economic Security Act.

United States.

COVID-19 (Disease)--United States--Epidemiology.

COVID-19 (Disease).

Public health surveillance--United States.

Public health surveillance.

Health surveys--United States--Statistical methods.

Health surveys.

Medical policy--United States.

Medical policy.

COVID-19 (Disease)--Epidemiology.

Health surveys--Statistical methods.

Genre:

Rules

Physical Description:

1 online resource (iii, 41 pages) : color illustrations.

Place of Publication:

[Washington, D.C.] : United States Government Accountability Office, 2020.

Contents:

1. Background

2. Public health surveillance data on COVID-19 that CDC collects have important limitations

3. Different analytical approaches yield different insights

4. Forecasting models can provide valuable insights, but understanding their purpose and limitations is essential for interpreting results

5. Strategic implications

6. Agency and expert comments.

Notes:

"July 2020."

"GAO-20-635SP."

Includes bibliographical references.

Description based on online resource, PDF version; title from cover (GAO, viewed July 31, 2020).

OCLC:

1181919508