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:

BACKGROUND AND AIM OF THE WORK: The outbreak of the novel coronavirus (or SARS-CoV 2) has significantly struck the healthcare system worldwide. Over the course of a few weeks, hospitals reorganized their internal structure entirely at any level of care, from the Emergency rooms to Departments, including all the medical specialties. METHODS: In order to cope with the contingent state of emergency, the Gynecology and Obstetrics Unit of the University Hospital in Udine introduced new protocols and guidance for the usual standard of care, ensuring a safe environment for both healthcare providers and patients. RESULTS: By a continuous update of scientific evidence, the department was able to increase capacity as well as maintain flexibility when a higher number of admissions was required. CONCLUSION: We aimed to share our experience, which provided a relevant lesson about what to expect and how to prepare a referral center for high-risk pregnancy in response to a pandemic such as COVID-19.
["Prevention"]