標題: Titlebook: COVID-19 Experience in the Philippines; Response, Surveillan Maria Regina Justina Estuar,Elvira De Lara-Tuprio Book 2023 The Editor(s) (if [打印本頁] 作者: 獨裁者 時間: 2025-3-21 18:02
書目名稱COVID-19 Experience in the Philippines影響因子(影響力)
書目名稱COVID-19 Experience in the Philippines影響因子(影響力)學科排名
書目名稱COVID-19 Experience in the Philippines網(wǎng)絡公開度
書目名稱COVID-19 Experience in the Philippines網(wǎng)絡公開度學科排名
書目名稱COVID-19 Experience in the Philippines被引頻次
書目名稱COVID-19 Experience in the Philippines被引頻次學科排名
書目名稱COVID-19 Experience in the Philippines年度引用
書目名稱COVID-19 Experience in the Philippines年度引用學科排名
書目名稱COVID-19 Experience in the Philippines讀者反饋
書目名稱COVID-19 Experience in the Philippines讀者反饋學科排名
作者: canonical 時間: 2025-3-21 21:14
Yunyao Li,Dragomir Radev,Davood Rafieihe mathematical theory and model assumptions will be presented for both tools, as well as some of the corresponding outputs for selected regions. Additional analysis will also be presented to provide further insights on the meaning of ..作者: bisphosphonate 時間: 2025-3-22 01:14
Effective Reproduction Number he mathematical theory and model assumptions will be presented for both tools, as well as some of the corresponding outputs for selected regions. Additional analysis will also be presented to provide further insights on the meaning of ..作者: BALE 時間: 2025-3-22 07:15 作者: ARCHE 時間: 2025-3-22 10:50
Book 2023Unit Monitoring Platform, more commonly known as Feasibility Analysis of Syndromic Surveillance Using Spatio-Temporal Epidemiological Modeler for Early Detection of Diseases (FASSSTER). The project began in 2016 as a pilot study in developing a multidimensional approach in disease modeling requiring作者: Abutment 時間: 2025-3-22 14:28 作者: Abutment 時間: 2025-3-22 18:21
2196-4106 al 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 manag978-981-99-3155-2978-981-99-3153-8Series ISSN 2196-4106 Series E-ISSN 2196-4114 作者: thyroid-hormone 時間: 2025-3-22 23:49
Origins of FASSSTERcluding 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. ., .)作者: 澄清 時間: 2025-3-23 02:16
Management of COVID-19 Data for the FASSSTER Platformf Philippine COVID-19 data for the FASSSTER platform. The first part discusses the data extracted from data sources, namely: COVID KAYA, DOH Data Collect, Google mobility, and other publicly available datasets. The second part describes data cleaning and imputation methods performed on the datasets.作者: 先行 時間: 2025-3-23 07:21 作者: 共同時代 時間: 2025-3-23 11:14 作者: Landlocked 時間: 2025-3-23 13:55 作者: STING 時間: 2025-3-23 19:53
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作者: expunge 時間: 2025-3-24 00:30
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. ., .)作者: AMEND 時間: 2025-3-24 02:22 作者: ineffectual 時間: 2025-3-24 07:39
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作者: A簡潔的 時間: 2025-3-24 14:09
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作者: 繁殖 時間: 2025-3-24 18:37
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.作者: Obstruction 時間: 2025-3-24 21:41
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 作者: 描述 時間: 2025-3-24 23:50
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作者: carotenoids 時間: 2025-3-25 06:00 作者: Euthyroid 時間: 2025-3-25 09:29
Phrasal Terms in Real-World IR Applications,demic, government agencies overseeing health, economic, social, and security aspects need to formulate, implement, and enforce policies to ensure that risk levels are monitored and corresponding impact is addressed. In the Philippines, the LGU Epidemic Response Framework has been used for classifyin作者: 招惹 時間: 2025-3-25 14:26
Yunyao Li,Dragomir Radev,Davood Rafieirts 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作者: Suggestions 時間: 2025-3-25 18:54 作者: FUSC 時間: 2025-3-25 21:39
Natural Language Parsing Systemsatform 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作者: 他姓手中拿著 時間: 2025-3-26 01:52 作者: amputation 時間: 2025-3-26 04:46
Disaster Risk Reductionhttp://image.papertrans.cn/c/image/220494.jpg作者: etiquette 時間: 2025-3-26 09:23 作者: 向宇宙 時間: 2025-3-26 13:25 作者: 易彎曲 時間: 2025-3-26 19:54
COVID-19 Experience in the Philippines978-981-99-3153-8Series ISSN 2196-4106 Series E-ISSN 2196-4114 作者: 利用 時間: 2025-3-26 21:25
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 作者: aspect 時間: 2025-3-27 04:06
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作者: Nucleate 時間: 2025-3-27 08:09 作者: fleeting 時間: 2025-3-27 10:01 作者: arthrodesis 時間: 2025-3-27 15:21
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作者: CRUE 時間: 2025-3-27 20:51 作者: 胎兒 時間: 2025-3-28 01:22
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作者: transplantation 時間: 2025-3-28 02:46
10樓作者: 花爭吵 時間: 2025-3-28 08:11
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