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Read our report on six communities’ experiences with pandemic funding and programs, which provides valuable lessons learned to improve federal emergency response programs.

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Pandemic Response Accountability Committee

FRAUD ALERT FOLLOW-UP: Improved Sharing of Death Records and Use of the Do Not Pay System Would Strengthen Program Integrity and Better Protect the Public

This update expands on our January 2023 Fraud Alert that identified 69,000 questionable Social Security Numbers (SSNs) used to obtain $5.4 billion in potentially fraudulent loans made in the COVID-19 Economic Injury Disaster Loan (EIDL) program and Paycheck Protection Program (PPP). As detailed in that Fraud Alert, PRAC data scientists, using our Pandemic Analytics Center of Excellence, identified the questionable SSNs after determining that the names, SSNs, and/or dates of birth used in connection with COVID-19 EIDL/PPP applications did not match Social Security Administration’s (SSAs)...
Treasury Inspector General for Tax Administration

Additional Actions Are Needed to Reduce Accounts Management Function Inventories to Below Pre‑Pandemic Levels

Department of Agriculture OIG

COVID-19—Forest Service’s Response to the Coronavirus Pandemic at Recreation Sites

OIG identified the prevention measures that Forest Service established for recreation sites in response to the COVID-19 pandemic.
Department of the Interior OIG

The Bureau of Indian Affairs Great Plains Region Did Not Oversee CARES Act Funds Appropriately

We determined that the BIA Great Plains Region did not hold three Tribes accountable for submitting CARES Act financial reports or narrative reports.
Pandemic Response Accountability Committee

FRAUD ALERT: PRAC Identifies $5.4 Billion in Potentially Fraudulent Pandemic Loans Obtained Using Over 69,000 Questionable Social Security Numbers

The PRAC’s Pandemic Analytics Center of Excellence (PACE) data scientists identified $5.4 Billion in potential identity fraud associated with over 69,000 questionable Social Security Numbers (SSNs) used on applications across disbursed loans in the Small Business Administration’s COVID-19 Economic Injury Disaster Loan Program and Paycheck Protection Program. Through collaborative verification methods with the Social Security Administration, we identified that these SSNs were used in connection with over 99,000 applications and warrant further scrutiny. The results of this Fraud Alert...
Department of the Interior OIG

The Omaha Tribe Did Not Account for CARES Act Funds Appropriately

We determined that the Omaha Tribe did not follow applicable requirements in an agreement with the BIA.
Department of Transportation OIG

DOT's Tracking of Aviation Imports and Potential Impacts of Disruptions

What We Looked At The Coronavirus Disease 2019 (COVID-19) pandemic has highlighted the importance of developing and maintaining resilient supply chains in essential industries. Citing the significance of the aviation industry to the Nation's economy, the Ranking Members of the House Committee on Transportation and Infrastructure and its Subcommittee on Aviation asked us to assess how the Department of Transportation (DOT) tracks the amount of critical aircraft and unmanned aircraft systems (UAS) imports. They also asked for the amount of critical aviation parts that are manufactured in and...
Pandemic Response Accountability Committee

Insights on Telehealth Use and Program Integrity Risks Across Selected Health Care Programs During the Pandemic

Recognizing how critical telehealth has been to the federal COVID-19 response, the PRAC Health Care Subgroup—which includes six Federal Offices of Inspectors General—worked together to provide insights on the use of telehealth and its associated program integrity risks.
Department of Agriculture OIG

USDA Coronavirus Food Assistance Program Data Story

This data story is the second in the series from the U.S. Department of Agriculture (USDA) Office of Inspector General (OIG) and focuses on the USDA Coronavirus Food Assistance Program (CFAP). This product utilized data analytics, visualizations, and data storytelling methods to enhance transparency of how the CFAP 1 and CFAP 2 programs evolved over time.