Environmental health surveillance aims to monitor and assess environmental hazards, prevent and control environmental diseases, and promote environmental health and well-being.

Development and implementation of interventions is not a component of environmental health surveillance, but rather a component of environmental health intervention.

Data collection and analysis in environmental health surveillance serves to identify and characterize environmental hazards, assess the health effects of environmental hazards, and track trends in environmental health.

Interpreting and disseminating data in environmental health surveillance aims to communicate findings to decision-makers and the public, raise awareness about environmental health issues, and promote evidence-based decision-making.

Evaluating the effectiveness of interventions in environmental health surveillance helps determine whether interventions are achieving their intended goals, identify areas where interventions can be improved, and inform future decision-making.

Air pollution, water contamination, and lead poisoning are all examples of environmental health hazards.

Air pollution is the leading cause of death from environmental hazards worldwide.

Asthma, cancer, and heart disease can all be caused or exacerbated by environmental factors.

Public health agencies play a crucial role in environmental health surveillance by collecting and analyzing data, interpreting and disseminating data, and developing and implementing interventions.

Lack of data, lack of resources, and lack of coordination between agencies are all challenges in environmental health surveillance.

Increasing funding for surveillance activities, improving coordination between agencies, and developing new technologies for data collection and analysis can all help improve environmental health surveillance.

The public can play an important role in environmental health surveillance by reporting environmental hazards, participating in data collection activities, and advocating for environmental health policies.

The CDC's National Environmental Public Health Tracking Network, the WHO's Global Environment Monitoring System, and the EEA's European Environment Information and Observation Network are all examples of successful environmental health surveillance programs.

Use of big data and artificial intelligence, development of new sensor technologies, and increased focus on climate change and its health effects are all future directions for environmental health surveillance.

Environmental health surveillance can contribute to achieving the SDGs by providing data and evidence to inform policy and decision-making, helping to identify and address environmental health risks, and promoting collaboration and partnerships between different sectors.