Public health surveillance in low-resource settings aims to identify and track health events and trends to inform public health decision-making and response.

Public health surveillance in low-resource settings faces multiple challenges, including lack of trained personnel, limited access to technology, and poor data quality.

Community engagement plays a crucial role in public health surveillance in low-resource settings by enhancing data collection and reporting, promoting health literacy and awareness, and facilitating community-based surveillance.

Mobile phone surveys, community-based surveillance, and verbal autopsies are all examples of low-cost methods for collecting health data in low-resource settings.

Data analysis and interpretation are essential in public health surveillance to identify trends and patterns in health data, assess the effectiveness of public health interventions, and inform public health decision-making.

Timeliness, accuracy, and completeness are all key components of an effective public health surveillance system.

Surveillance data plays a crucial role in outbreak investigation and response by helping to identify the source of the outbreak, track its spread, and assess its severity.

Influenza-like illness surveillance is an example of a syndromic surveillance system, which monitors the occurrence of symptoms associated with a particular disease or condition.

Evaluating the performance of a public health surveillance system is essential to identify areas for improvement, ensure the system is meeting its objectives, and demonstrate accountability to stakeholders.

Simplicity, flexibility, and sustainability are all key principles of public health surveillance in low-resource settings.

Public health surveillance plays a crucial role in health systems strengthening by providing data for planning and decision-making, monitoring the performance of health systems, and evaluating the effectiveness of health interventions.

Malaria, HIV/AIDS, and tuberculosis are all examples of diseases that are commonly monitored through public health surveillance.

Data quality is essential in public health surveillance to ensure accurate and reliable information, facilitate data analysis and interpretation, and inform public health decision-making.

Data collection, data analysis and interpretation, and data dissemination are all key components of an effective public health surveillance system.

Public health surveillance plays a crucial role in preventing and controlling diseases by detecting and responding to outbreaks early, identifying risk factors and trends, and evaluating the effectiveness of public health interventions.