Edwards v. Secretary of Health and Human Services
Opinion
In the United States Court of Federal Claims
OFFICE OF SPECIAL MASTERS
No. 21-0954V
UNPUBLISHED
TREMAYNE D. EDWARDS, Chief Special Master Corcoran Petitioner, Filed: September 6, 2022 v.
Special Processing Unit (SPU); SECRETARY OF HEALTH AND Damages Decision Based on Proffer; HUMAN SERVICES, Influenza (Flu) Vaccine; Shoulder Injury Related to Vaccine Respondent. Administration (SIRVA)
Scott B. Taylor, Urban & Taylor, S.C., Milwaukee, WI, for Petitioner.
Tyler King, U.S. Department of Justice, Washington, DC, for Respondent.
DECISION AWARDING DAMAGES1
On February 19, 2021, Tremayne D. Edwards filed a petition for compensation under the National Vaccine Injury Compensation Program, 42 U.S.C. §300aa-10, et seq.2 (the “Vaccine Act”). Petitioner alleges that he suffered a shoulder injury related to vaccine administration (“SIRVA”) as a result of an influenza vaccination on November 5, 2018. Petition at 1. The case was assigned to the Special Processing Unit of the Office of Special Masters.
On September 6, 2022, a ruling on entitlement was issued, finding Petitioner entitled to compensation for SIRVA. On September 6, 2022, Respondent filed a combined Rule 4 report/proffer on award of compensation (“Rule 4/Proffer”) indicating Petitioner should be awarded $70,000.00. Rule 4/Proffer at 6. In the Proffer, Respondent represented that Petitioner agrees with the proffered award. Id. Based on the record as a whole, I find that Petitioner is entitled to an award as stated in the Rule 4/Proffer.
Pursuant to the terms stated in the Rule 4/Proffer, I award Petitioner a lump sum payment of $70,000.00 in the form of a check payable to Petitioner. This amount represents compensation for all damages that would be available under Section 15(a).
The Clerk of Court is directed to enter judgment in accordance with this decision.3 IT IS SO ORDERED. s/Brian H. Corcoran Brian H. Corcoran Chief Special Master
Case-law data current through September 30, 2026. Source: CourtListener bulk data.