Data-Driven Disease Surveillance

An index-based system for early alerts of potential zoonotic disease outbreaks

The paper introduces a dynamic alert system using a Zoonotic Alert Index to improve disease outbreak detection in wildlife, validated with yellow fever data achieving over 94% accuracy.

Can digital epidemiology indicate the emergence and current distribution of canine dirofilariosis?

The paper uses Google Trends data to show that online search behavior reflects the spread of canine dirofilariosis in Hungary, supporting digital epidemiology as a surveillance tool.

survInTime - Exploring surveillance methods and data analysis on Brazilian respiratory syndrome dataset and community mobility changes

The paper analyzes Brazilian respiratory syndrome data and community mobility changes to assess data quality, estimate cases from mobility patterns, detect disease waves, and cluster cities by behavior.

Inclusion of environmentally themed search terms improved Elastic Net regression nowcasts of regional Lyme disease rates

This study improves nowcasting of Lyme disease rates using Elastic Net regression with environmentally themed search terms from Google Trends.

Fast and Accurate Influenza Forecasting in the United States with Inferno

This paper introduces Inferno, a fast and accurate flu forecasting model that outperforms existing models in speed while maintaining high performance in FluSight 2018/19.

MicrobeTrace: Retooling Molecular Epidemiology for Rapid Public Health Response

MicrobeTrace integrates and analyzes multi-source public health data to support rapid outbreak response, demonstrating its utility with HIV and SARS-CoV-2 datasets.

Improving Probabilistic Infectious Disease Forecasting Through Coherence

The paper improves influenza forecasting by enforcing geographical constraints on forecasts, leading to better accuracy across 90% of tested models.

Integrated Disease Surveillance and Response (IDSR) in Malawi: Implementation Gaps and Challenges for Timely Alert

This study evaluates the implementation of Malawi's IDSR system, finding good completeness but poor timeliness in disease reporting and identifying challenges like lack of supervision and excessive paperwork.