[PDF] Precision public health, the key for future outbreak management: A scoping review | Semantic Scholar (2024)

A precision public health strategy to syndromic surveillance for severe acute respiratory infection (SARI) in Uganda was applied by combining spatiotemporal analytics with genomic sequencing to detect and characterize viral respiratory pathogens with epidemic potential.

The findings from this work provide the first data‐driven evidence base to inform wildlife sampling for the monitoring of JEV circulation in outbreak hotspots in India and thus identify good preliminary targets for the development of One Health JEV surveillance.

It is found that wastewater virus occurrence can contribute to epidemic surveillance in ways more than back-calculation, which may spawn future wastewater surveillance implementations.

A new framework was proposed using geospatial big data analysis in the Google Earth Engine (GEE) platform and long short term memory (LSTM) modeling for dengue case forecasts over an epidemiological week basis and the results indicate that the performance was better when historical d Dengue cases were used and the 5-weeks-ahead forecast had the best performance, and the peak of a large outbreak in 2019 was accurately forecasted.

Combining real-world data and Big Data with machine learning methods is a promising approach to improve dengue prediction and monitoring and future studies should focus on how to better integrate all available data sources and methods.

The results showed that the central and the eastern regions of Tehran are more at risk and pharmacies and banks are the most incompatible in distribution, and the density of these land uses in Tehran has caused the prevalence of COVID-19.

The findings showed a positive relationship of H7N9 cases with BSI and WPI search queries spatially and temporally, and the outbreak threshold time and peak time of H6N9-related BSI-related WPI searches preceded H7n9 cases in most years.

Evaluating the National Health Insurance Claims-based Surveillance compared to conventional passive report-based National Infectious Diseases Surveillance found claim-based surveillance showed less fluctuating disease incidence rates than report- based surveillance for specific infectious diseases, however, for infectious diseases with episodic outbreaks or low incidence, it was difficult to assess NHICS usefulness.

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