Vargas v. Secretary of Health and Human Services
Opinion
In the United States Court of Federal Claims
OFFICE OF SPECIAL MASTERS No. 23-1010V
GISELLA VARGAS, Chief Special Master Corcoran
Petitioner, Filed: March 26, 2024 v. SECRETARY OF HEALTH AND HUMAN SERVICES,
Respondent.
Maximillian J. Muller, Muller Brazil, LLP, Dresher, PA, for Petitioner.
Sarah Black Rifkin, U.S. Department of Justice, Washington, DC, for Respondent.
RULING ON ENTITLEMENT 1
On June 30, 2023, Gisella Vargas 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”) following an influenza vaccination she received on January 12, 2022. Petition at 1. Petitioner further alleges that her “SIRVA symptoms persisted for more than six months.” Petition at ¶ 12. The case was assigned to the Special Processing Unit of the Office of Special Masters.
On March 25, 2024, 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. Respondent states that “Petitioner’s alleged injury is consistent with SIRVA as defined by the Vaccine Injury Table. Specifically, Petitioner had no history of pain, inflammation, or dysfunction of her right shoulder prior to vaccination; pain occurred within 48 hours after receipt of an intramuscular vaccination; pain was limited to the shoulder in which the vaccine was administered; and no other condition or abnormality has been identified to explain Petitioner’s shoulder pain.” Id. at 5. Respondent further agrees that “Petitioner has satisfied all legal prerequisites for compensation under the Act.” Id.
In view of Respondent’s position and the evidence of record, I find that Petitioner is entitled to compensation.
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.