专题:Data-Driven Disease Surveillance

This cluster of papers focuses on the use of digital data sources such as search engine queries, social media content, and internet usage patterns for disease surveillance, tracking epidemics, and early detection of infectious diseases. It also explores the application of tools like Google Trends and Geographic Information Systems in public health informatics for monitoring and analyzing epidemiological patterns.
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The WHO estimates of excess mortality associated with the COVID-19 pandemic

article Full Text OpenAlex 1059 FWCI125.6651

Outbreak.info genomic reports: scalable and dynamic surveillance of SARS-CoV-2 variants and mutations

article Full Text OpenAlex 398 FWCI67.3763

Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States

article Full Text OpenAlex 309 FWCI34.2464

Estimating global, regional, and national daily and cumulative infections with SARS-CoV-2 through Nov 14, 2021: a statistical analysis

article Full Text OpenAlex 297 FWCI39.535

The Johns Hopkins University Center for Systems Science and Engineering COVID-19 Dashboard: data collection process, challenges faced, and lessons learned

article Full Text OpenAlex 285 FWCI30.514

Using artificial intelligence to improve public health: a narrative review

review Full Text OpenAlex 276 FWCI4.5879

Conducting and interpreting disproportionality analyses derived from spontaneous reporting systems

article Full Text OpenAlex 216 FWCI163.6882

Public Interest in the Off-Label Use of Glucagon-like Peptide 1 Agonists (Ozempic) for Cosmetic Weight Loss: A Google Trends Analysis

article Full Text OpenAlex 207 FWCI26.4492

Wastewater-Based Estimation of the Effective Reproductive Number of SARS-CoV-2

article Full Text OpenAlex 198 FWCI17.7536

Surveillance as a foundation for Disease prevention and control

preprint Full Text OpenAlex 195 FWCI0