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:

AIMS: To examine the probability of detecting alcohol via urine drug testing (UDT) as influenced by age, gender, seasonality, geography, COVID-19, and time in those seeking health care. METHODS: A cross-sectional study of UDT results from January 1, 2013, to December 31, 2020, was conducted using adult patient specimens submitted for testing by health care professionals as part of routine care. The UDT analysis used LC-MS/MS to detect two alcohol metabolites, ethyl glucuronide and ethyl sulfate. Seasonal adjustment of positivity rates was accomplished using the STL method; trend analysis was performed on seasonally adjusted rates. Logistic regression was used to associate demographic features, and an interaction term for collection year and U.S. census division was included to help understand the changing nature of alcohol use over time and across divisions. RESULTS: Alcohol positivity rate shows strong seasonal changes with an oscillating profile that peaks in the summer and is at a low point in winter. The highest predicted positivity rate for alcohol was in male patients, 45-64 years of age, and from a primary care setting. Alcohol positivity peaked in 2016 and declined the following year. While remaining relatively steady since 2017, a small but significant increase was noted after the COVID-19 emergency declaration on March 13, 2020. The probability of being alcohol-positive varies significantly by geographic region, and not all regions are changing at the same rate. CONCLUSIONS: Alcohol positivity in UDT in patients seeking health care is influenced by multiple factors and has increased during the COVID-19 pandemic.
["Prevention"]