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:

OBJECTIVES: The COVID-19 pandemic is a global health problem with high morbidity and mortality. This study aimed to investigate patients who were diagnosed with type 1 diabetes during the pandemic and evaluate the effect of the pandemic on the clinical findings of these patients by comparing them with findings from a year prior. METHODS: Patients diagnosed with type 1 diabetes mellitus between 2019 and 2021 were separated into two groups: Patients diagnosed prepandemic and those diagnosed during the pandemic. RESULTS: The number of newly diagnosed diabetes cases increased from 46 in the prepandemic period to 74 in the pandemic period. The number of cases diagnosed with diabetic ketoacidosis (DKA) in the clinic increased from 58.7 to 91.9%. We found that moderate and severe DKA rates from 18.5 and 14.8% to 23.5 and 22.1%, respectively. Besides, the average HbA1c was higher, while the average bicarbonate was lower in cases diagnosed during the pandemic period compared to the prepandemic period (p=0.048 and p<0.001, respectively). We found that celiac autoantibody positivity antibodies to glutamic acid decarboxylase (anti GAD) positivity, and islet cell antibodies (ICA), ICA and anti GAD positivity coexistence were higher (p=0.045, p=0.008, and p=0.007, respectively) among the patients diagnosed during the pandemic. CONCLUSIONS: We observed an increase in the number of patients newly diagnosed with type 1 diabetes mellitus, an increase in autoantibody positivity, and higher rates and severity of DKA during the COVID-19 pandemic period compared to the prepandemic period.
["Prevention"]