This paper examines the impact of infodemics during the COVID-19 pandemic, focusing on the spread of false information and its threats to health policies and security. It examines various forms of misinformation and disinformation and argues for the need for measures to counter these threats, highlighting technological approaches such as machine learning and data mining for detecting and combating misinformation. The paper concludes with recommendations for supporting the WHO’s infodemiology initiative and calls for combined preventive strategies and international collaboration through advanced technologies and cross-disciplinary methods.