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Titlebook: COVID-19 Experience in the Philippines; Response, Surveillan Maria Regina Justina Estuar,Elvira De Lara-Tuprio Book 2023 The Editor(s) (if

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Book 2023es, this book narrates the story of FASSSTER in two main parts..Part I provides a historical perspective of the FASSSTER platform as a modeling and disease surveillance system for dengue, measles and typhoid, followed by the origins of the FASSSTER framework and how it was reconfigured for the manag
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Johanna D. Moore,William R. Swartoutcluding electronic medical records, case reports submitted by hospitals, and symptoms posted on social media. The platform was also designed for online scenario-based disease modeling, time series, and spatio-temporal forecasting using STEM (IBM, Spatiotemporal epidemiological modeler project. ., .)
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Document Classification and Routing,es are applied to the data. As such, data analysis scripts are written using two popular programming languages, R and Python, to facilitate the processing and transformation of data. The stakeholders then view model outputs in a web-based visualization platform. This chapter describes the FASSSTER d
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Phrasal Terms in Real-World IR Applications,ed of transmission of the disease. CCUR measures the intensive care unit beds and mechanical ventilator utilization of all hospitals in the region where the locality is included. Other secondary measures such as security risks and socioeconomic factors are also used to escalate or de-escalate impose
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Yunyao Li,Dragomir Radev,Davood Rafieinerating projections of case trajectories but also in estimating the healthcare requirements based on the case projections and in doing a cost-benefit analysis of community quarantine policies using an appended economic model.
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Johanna D. Moore,William R. Swartoutcal records and hospital information systems are primary data sources for surveillance information. However, other sources of information, including symptoms reported by households to primary care facilities and even those posted by the public on social media platforms, may be considered additional
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Christian Jacquemin,Evelyne Tzoukermann epidemic. However, real data is not without its uncertainties primarily because of the manner in how data is collected, transformed, and interpreted. A crucial step, therefore, is to ensure that data quality is not compromised. Data should be complete, valid, and accurate. It is, therefore, essenti
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