You are presented with a paragraph from a COVID-19 literature. Classify the topics of this piece of text by choosing from the following categories:

- Epidemic Forecasting: The content relates to predictions about the spread of COVID-19.
- Treatment: The paragraph discusses therapeutic methods or medication for COVID-19.
- Prevention: The content covers measures to prevent the spread of COVID-19.
- Mechanism: The paragraph explains the biological mechanisms of the virus.
- Case Report: The content is a report of a COVID-19 case.
- Transmission: The paragraph discusses how COVID-19 is transmitted.
- Diagnosis: The content is about diagnosing COVID-19 in individuals.

Your classification should be provided as an element within a JSON array. The array should be formatted with topics enclosed in double quotes and separated by commas, following the JSON format, for example: ["Topic1", "Topic2", ...]. Include all applicable topics within the array. Your output should be a valid JSON array, and no additional text should be included in your response.

Article:

An abundance of literature has demonstrated that Coronavirus Disease 2019 (COVID-19) contributes to a hypercoagulable state that is associated with venous thromboembolic events. Data on post-operative complications following mild COVID-19 infection is limited. We report a case of ovarian vein thrombosis (OVT) following pelvic surgery in a patient with a recent mild COVID-19 infection. The patient presented with complaints of fever and worsening right-sided abdominal pain postoperatively and was found to have a right OVT. Thrombophilia workup was negative. The hypercoagulable state of patients diagnosed with COVID-19 may have implications on postoperative complications after gynecologic surgery even in cases of mild infection. Further research is needed to determine the optimal thromboembolic prophylaxis for patients undergoing pelvic surgery after COVID-19 infection.
["Case Report"]