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:

Introduction: The COVID-19 pandemic has imposed an extraordinary challenge to the health and socio-economic facet of nations globally. Health facilities have encountered tremendous challenges to contain service delivery at all levels. This study aims to assess the trend of health service utilization and challenges faced during the COVID-19 pandemic at primary units in Addis Ababa, Ethiopia. Method: A multi-facility-based cross-sectional study was conducted in Addis Ababa between 1 and 30 of August 2020. A mixed-methods design was employed, and both quantitative and qualitative data were collected at 5 health centers. Facilities were selected randomly from 5 sub-cities while interviewees were recruited purposively. A structured questionnaire was used to collect quantitative data from the HMIS units of each facility. Qualitative data was collected using a semi-structured key-informant interview guide. Quantitative data were analyzed using Microsoft Excel, and a 10-month time-series trend was generated. For the qualitative data, qualitative data analysis (QDA-minor) software was used. Results: Time-series comparison of the pre-COVID-19 era loads with the COVID-19 period showed that there was an extensive disparity in the service delivery capacity of the health facilities. A huge drop in inpatient flow of some units such as PICT, VCT, FP services, and most sub-units of the OPDs has been recorded following the COVID-19 outbreak. The key-informant interview also revealed that such challenges, as fear of infection and stigma, poor infrastructure, challenges related to human resources, and challenges related to the supply of prevention and treatment inputs were prominently encountered at the health centers. Conclusion: The COVID-19 wave has negatively impacted many service delivery points in the study settings. The presence of weak infrastructure, lack of PPEs, fear of the infection and stigma, and staff workload have been mentioned as the predominant challenges faced during the outbreak. Health authorities should arrange multifaceted supports to ensure uninterrupted service delivery at primary healthcare units.
["Prevention"]