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:

During the COVID-19 pandemic, as immigration and asylum processes were delayed or interrupted, migrants and asylum seekers were stranded at Mexico's northern border. In-transit migrants and asylum seekers are an underserved population, and pandemic preparedness has seldom taken their needs into account. In this article we analyze public health policies developed in Mexico in response to the COVID-19 pandemic and describe how these policies have largely overlooked the needs of vulnerable mobile populations. We reviewed eighty publicly available documents issued by federal, state, and municipal authorities in Mexico between January and September 2020. Only seven policy documents explicitly considered in-transit migrants and asylum seekers and their health care needs. In addition, we identified six major gaps in these policies that, if addressed, would promote greater inclusion of persons in mobility in future pandemic response plans, to protect the health of migrant populations.
["Prevention"]