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- W2753644412 abstract "Big can held identifying spread of epidemic, improve public health decision making and develop new action-making strategies. In this case study, researchers provide explanations on the role of to determine the spread and detection of Ebola outbreak. According to HealthMap by 9December 2014, there have been 17834 reported cases of Ebola virus disease, with 6346 reported deaths. Until now, all previous Ebola outbreaks were small and localized within rural communities, but the 2014 epidemic has bucked this trend, spreading as it has across densely populated urban environments, from Guinea into Liberia, Sierra Leone, Nigeria, Spain and the U.S. The Centers for Disease Control and Prevention now estimates that 1.4 million people could be infected by January if swift action isn’t taken to scale up the response.It is impossible to know whether earlier detection may have helped contain the spread of Ebola, but many scientists say this type of big data approach can be useful in curbing epidemics.In 2014 spring, played an important role in the initial detection of the Ebola outbreak. Big analytics are all about combining information from different sources and analyzing them collectively to identify patterns. For disasters such as the current Ebola crisis, this means accessing health clinic reports, media updates, social media posts, information from public workers on the ground, transactional from retailers and pharmacies, and travel ticket purchases alongside helpline data. In conclusion, the appeal and necessity of to determine the epidemic spread is undeniable." @default.
- W2753644412 created "2017-09-15" @default.
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- W2753644412 date "2015-01-30" @default.
- W2753644412 modified "2023-09-25" @default.
- W2753644412 title "Big Data to Determine the Epidemic Spread and Detection: A Case Study of Ebola" @default.
- W2753644412 hasPublicationYear "2015" @default.
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