Disease Surveillance Metrics and Statistics
2023
- 2Usage
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
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Article Description
Alongside surveillance; policies and corresponding implementation guidelines are crucial in managing the spread of COVID-19. For each stage of the pandemic; government agencies overseeing health; economic; social; and security aspects need to formulate; implement; and enforce policies to ensure that risk levels are monitored and corresponding impact is addressed. In the Philippines; the LGU Epidemic Response Framework has been used for classifying the epidemic risk of provinces; highly urbanized cities (HUC); and independent component cities (ICC). For the first stage of the pandemic; the decision matrix uses the Case Doubling Time (CDT) along with the Critical Care Utilization Rate (CCUR) to identify the appropriate community quarantine (CQ) guidelines that should be implemented in a locality. CDT measures the number of days in which the cases will double. A lower CDT means a higher speed of transmission of the disease. CCUR measures the intensive care unit beds and mechanical ventilator utilization of all hospitals in the region where the locality is included. Other secondary measures such as security risks and socioeconomic factors are also used to escalate or de-escalate imposed CQ guidelines. For the second stage of the pandemic; the primary metrics that were used are the average daily attack rate (ADAR) and two-week growth rate (2WGR).
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