An analysis of the timeliness of COVID-19 surveillance information sources and indicators

An analysis of the timeliness of COVID-19 surveillance information sources and indicators


A current examine printed within the Facilities for Illness Management and Prevention (CDCs) evaluated correlations and timeliness of coronavirus illness 2019 (COVID-19) surveillance information sources and indicators in america (US).

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Background

Nationwide reporting of some classes of knowledge on COVID-19 surveillance will stop within the US from Could 11, 2023, when the COVID-19 public well being emergency declaration expires. The COVID-19 digital laboratory reporting (CELR) and reporting of the mixture COVID-19 case and loss of life information will probably be discontinued.

The Facilities for Illness Management and Prevention (CDC) will use provisional mortality information from the Nationwide Important Statistics System (NVSS) for information on COVID-19 deaths and the Nationwide Respiratory and Enteric Viruses Surveillance System (NREVSS) for extreme acute respiratory syndrome coronavirus 2 (SARS-CoV-2) take a look at positivity information.

County COVID-19 hospitalization charges will substitute weekly COVID-19 group ranges (CCLs).

Concerning the examine

Within the current examine, researchers evaluated the timeliness of and correlations amongst nationwide COVID-19 surveillance information sources and indicators to evaluate the usefulness of COVID-19 hospitalization charges as the first indicator to watch COVID-19 tendencies.

Utilizing completely different statistical measures, they in contrast tendencies in seven-day transferring averages for indicators from October 2020 to March 2023.

The researchers estimated the lag in COVID-19 surveillance indicators relative to hospitalization charges between April 2022 and March 2023.

Pairwise Spearman’s correlations evaluated associations between COVID-19 surveillance indicators. Every indicator was assessed for signal-to-noise ratio utilizing Spearman’s autocorrelation.

Linear regression fashions have been fitted for every indicator from October 2020 to March 2022 and April 2022 to March 2023 to estimate ratios relative to COVID-19 hospitalization charges.

Concordance between weekly CCLs and COVID-19 hospitalization ranges was examined throughout 3,220 counties within the US between February 2022 and March 2023.

Findings

The authors noticed that normalized tendencies in COVID-19 surveillance indicators have been largely aligned over time. Nonetheless, there have been variations in proportionality and lag relative to hospitalization charges.

Developments in hospitalization charges lagged in the future behind COVID-19 case charges and 4 days behind SARS-CoV-2 optimistic take a look at outcomes and the share of emergency division (ED) visits for COVID-19.

Indicators of COVID-19 severity lagging behind hospitalization charges have been inpatient/intensive care mattress occupancy and deaths. The researchers noticed sturdy correlations between combination loss of life counts and NVSS loss of life charges and between optimistic take a look at outcomes from CELR and NVRESS. The ratios for the share of optimistic SARS-CoV-2 take a look at outcomes to hospitalization charges elevated.

The ratios for the share of intensive care unit (ICU) beds occupied and COVID-19 loss of life charges diminished relative to hospitalizations.

Comparisons between COVID-19 hospitalization ranges and CCL revealed greater than 99% concordance amongst counties. Discordant ranges have been noticed when COVID-19 incidence was excessive. CCLs exceeded hospitalization ranges when discordant.

Conclusions

The findings counsel that hospitalization charges might be an acceptable well timed indicator to watch COVID-19 tendencies. Indicators resembling emergency division visits and optimistic take a look at outcomes may seize COVID-19 tendencies round 4 days sooner than hospitalization charges, albeit with poor geographic protection.

Utilizing mortality information from NVSS can enhance the well timed monitoring of severity and mortality tendencies. Total, these information sources and indicators can assist the surveillance of COVID-19 and related prevention/management methods.