Disease surveillance and response are complex and ongoing process that requires ongoing monitoring, analysis, and response activities to control disease outbreaks. JaeTech plays a critical role in this process by developing and implementing effective surveillance and response systems.
JaeTech establish a surveillance system to monitor the spread of diseases in different populations by collecting data from various sources, such as healthcare facilities, laboratories, and public health agencies.
The data collected from the surveillance systems need to be analyzed to identify potential disease outbreaks by using statistical models and machine learning algorithms to identify patterns and trends in the data.
Once a disease outbreak has been identified, JaeTech researchers investigate the outbreak to determine the cause and extent of the outbreak by conducting epidemiological studies, analyzing clinical data, and collecting samples for laboratory testing.
Based on the findings from the investigation, JaeTech researchers develop response plans to control the spread of the disease. These plans were implementing public health interventions, such as vaccination campaigns or quarantine measures.
JaeTech ensures the quality of the included studies by assessing using standardized tools, such as the Cochrane Risk of Bias tool or the Newcastle-Ottawa Scale. The quality assessment helps to determine the strength of evidence and the risk of bias in the studies.
JaeTech researchers monitor the implementation of response activities to ensure the effectiveness in controlling the outbreak by ongoing data collection and analysis to assess the impact of the response activities.
Finally, JaeTech researchers evaluate the outcomes of disease surveillance and response activities by assessing the effectiveness of the response activities in controlling the outbreak and identifying areas for improvement in future outbreaks.