Bialek v. Secretary of Health and Human Services
Opinion
In the United States Court of Federal Claims
OFFICE OF SPECIAL MASTERS No. 17-2030V Filed: March 4, 2019 UNPUBLISHED
MARISSA BIALEK,
Special Processing Unit (SPU); Petitioner, Ruling on Entitlement; Concession;
v. Table Injury; Influenza (Flu) Vaccine;
Shoulder Injury Related to Vaccine SECRETARY OF HEALTH AND Administration (SIRVA) HUMAN SERVICES,
Respondent.
Leah VaSahnja Durant, Law Offices of Leah V. Durant, PLLC, Washington, DC, for petitioner.
Alexis B. Babcock, U.S. Department of Justice, Washington, DC, for respondent.
RULING ON ENTITLEMENT1
Dorsey, Chief Special Master:
On December 26, 2017, petitioner 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 she suffered a shoulder injury related to vaccine administration (“SIRVA”) as a result of an influenza vaccination received on October 15, 2016. Petition at 1. The case was assigned to the Special Processing Unit of the Office of Special Masters.
On March 1, 2019, respondent filed his Rule 4(c) report in which he concedes that petitioner is entitled to compensation in this case. Respondent’s Rule 4(c) Report at 1. Specifically, respondent states that the Division of Injury Compensation Programs (“DICP”) “has determined that petitioner’s left shoulder injury is consistent with an on- Table SIRVA related to the flu vaccine she received on October 15, 2016.” Id. at 4. Respondent further agrees that DICP did not identify other causes for petitioner’s SIRVA, petitioner suffered the sequela of her injury for more than six months, and petitioner meets the statutory requirements for entitlement to compensation. Id at 4-5.
In view of respondent’s position and the evidence of record, the undersigned finds that petitioner is entitled to compensation.
IT IS SO ORDERED. s/Nora Beth Dorsey Nora Beth Dorsey Chief Special Master
Case-law data current through September 30, 2026. Source: CourtListener bulk data.