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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Origins of FASSSTERcal 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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Management of COVID-19 Data for the FASSSTER Platform 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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Effective Reproduction Number rts of the world. As a measure that describes the status of an epidemic in a community, it has been used by many policymakers in informing their decisions on intervention strategies to mitigate the spread of the disease. The FASSSTER platform utilizes two publicly available packages, EpiEstim and Ep

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Geospatial and Spatio-Temporal Modelsatform when spelled out explicitly indicates Spatio-Temporal analysis. Specifically, the original version of FASSSTER made use of Spatio-Temporal Epidemiological Modeler (STEM) to visualize the spread of dengue, measles, and typhoid that is derived from the SEIR projections. Given the limitations in

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