| Literature DB >> 34396081 |
Yi Han1, Jie Luan1, Xiongli Xu1, Shanshan Lu1, Meng Li1, Jianbo Ba1.
Abstract
We summarized the basic practices and characteristics of epidemic reporting during the COVID-19 pandemic in the United States. Based on the analysis of the advantages and disadvantages of epidemic data reporting, we put forward some suggestions that should be used for reference and thus improve the epidemic data reports of infectious diseases.Entities:
Keywords: COVID-19; Epidemic report; Evaluation; Implication; Supervision
Year: 2021 PMID: 34396081 PMCID: PMC8354790 DOI: 10.1016/j.jobb.2021.07.001
Source DB: PubMed Journal: J Biosaf Biosecur ISSN: 2588-9338
American COVID-19 Quality Evaluation Criteria for Epidemic Report.
| Serial number | Category | Purpose | Metrics | Indicator Comments |
|---|---|---|---|---|
| 1 | Reporting | These factors evaluate how well states format and publish their COVID-19 data | Is the state’s official COVID-19 website the best source that exists for that state’s consistent, reliably- updated data? | |
| 2 | Does the state format its COVID-19 data in a machine-readable way?* | |||
| 3 | Testing data completeness | These factors measure whether a state is publishing complete basic testing data. | Is the state reporting the total number of positive test results? | |
| 4 | Is the state reporting the total number of negative test results? | |||
| 5 | Is the state reporting the total number of tests conducted? | |||
| 6 | Patient outcomes | These factors evaluate whether a state is reporting on COVID-19′s effects on patients and healthcare systems in their state. | Is the state reporting how many patients are hospitalized with COVID-19? | |
| 7 | Is the state reporting how many patients with COVID-19 are being treated in ICUs? | |||
| 8 | Is the state reporting how many patients with COVID-19 are on ventilators? | |||
| 9 | Is the state reporting how many patients have recovered from COVID-19? | |||
| 10 | Demographics | These factors evaluate whether a state reports basic COVID-19 data (case count and deaths) for the demographic categories identified as most immediately useful by epidemiologists, data scientists, and reporters we have consulted with. | Is reported data broken down by patients’ pre-existing conditions? | We asked states to distinguish between racial and ethnic categories to improve the usefulness of the resulting data. You can read more about that distinction on the project blog. |
| 11 | Does the state break down reported COVID-19 cases into racial categories? | |||
| 12 | Does the state break down reported COVID-19 cases into ethnic categories? | |||
| 13 | Does the state break down reported COVID-19 deaths into racial categories? | |||
| 14 | Does the state break down reported COVID-19 deaths into ethnic categories? | |||
| 15 | Other | These are two factors identified to us as immediately meaningful and relevant for researchers and the public that did not fit into the above categories, but form part of our grading factors. | Does the state report hospital capacity? | |
| 16 | Does the state report its medical data in the format of line lists? |
(*) Extra credit factor: the score for this factor can increase a state’s grade, but is not required to achieve an A.