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10.1177/00333549211018203 http://scihub22266oqcxt.onion/10.1177/00333549211018203 33979558!8203033!33979558     free     free     free Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 263.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Public+Health+Rep 2021 ; 136 (4): 403-412 Nephropedia Template TP {{tp|p=33979558|t=2021. COVID-19 Surveillance for Local Decision Making : An Academic, School District, and Public Health Collaboration |pdf=|usr=}}{{33979558}} gab.com Text COVID-19 Surveillance for Local Decision Making : An Academic, School District, and Public Health Collaboration JO: Public Health Rep http://www.kidney.de/pget.php?&tw=1&pmid=33979558 #FOAvip OBJECTIVE: Data-informed decision making is valued among school districts, but challenges remain for local health departments to provide data, especially during a pandemic. We describe the rapid planning and deployment of a school-based COVID-19 surveillance system in a metropolitan US county. METHODS: In 2020, we used several data sources to construct disease- and school-based indicators for COVID-19 surveillance in Franklin County, an urban county in central Ohio. We collected, processed, analyzed, and visualized data in the COVID-19 Analytics and Targeted Surveillance System for Schools (CATS). CATS included web-based applications (public and secure versions), automated alerts, and weekly reports for the general public and decision makers, including school administrators, school boards, and local health departments. RESULTS: We deployed a pilot version of CATS in less than 2 months (August-September 2020) and added 21 school districts in central Ohio (15 in Franklin County and 6 outside the county) into CATS during the subsequent months. Public-facing web-based applications provided parents and students with local information for data-informed decision making. We created an algorithm to enable local health departments to precisely identify school districts and school buildings at high risk of an outbreak and active SARS-CoV-2 transmission in school settings. PRACTICE IMPLICATIONS: Piloting a surveillance system with diverse school districts helps scale up to other districts. Leveraging past relationships and identifying emerging partner needs were critical to rapid and sustainable collaboration. Valuing diverse skill sets is key to rapid deployment of proactive and innovative public health practices during a global pandemic. Twit Text FOAVip COVID-19 Surveillance for Local Decision Making : An Academic, School District, and Public Health Collaboration ????Public Health Rep http://www.kidney.de/pget.php?&tw=1&pmid=33979558 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33979558 #FOAvip English Wikipedia <ref>{{Cite pmid|33979558}}</ref> COVID-19 Surveillance for Local Decision Making : An Academic, School District, and Public Health Collaboration #MMPMID33979558 Hyder A; Trinh A; Padmanabhan P; Marschhausen J; Wu A; Evans A; Iyer R; Jones A Public Health Rep 2021[Jul]; 136 (4): 403-412 PMID33979558show ga OBJECTIVE: Data-informed decision making is valued among school districts, but challenges remain for local health departments to provide data, especially during a pandemic. We describe the rapid planning and deployment of a school-based COVID-19 surveillance system in a metropolitan US county. METHODS: In 2020, we used several data sources to construct disease- and school-based indicators for COVID-19 surveillance in Franklin County, an urban county in central Ohio. We collected, processed, analyzed, and visualized data in the COVID-19 Analytics and Targeted Surveillance System for Schools (CATS). CATS included web-based applications (public and secure versions), automated alerts, and weekly reports for the general public and decision makers, including school administrators, school boards, and local health departments. RESULTS: We deployed a pilot version of CATS in less than 2 months (August-September 2020) and added 21 school districts in central Ohio (15 in Franklin County and 6 outside the county) into CATS during the subsequent months. Public-facing web-based applications provided parents and students with local information for data-informed decision making. We created an algorithm to enable local health departments to precisely identify school districts and school buildings at high risk of an outbreak and active SARS-CoV-2 transmission in school settings. PRACTICE IMPLICATIONS: Piloting a surveillance system with diverse school districts helps scale up to other districts. Leveraging past relationships and identifying emerging partner needs were critical to rapid and sustainable collaboration. Valuing diverse skill sets is key to rapid deployment of proactive and innovative public health practices during a global pandemic. |*Intersectoral Collaboration[MESH] |*Public Health Surveillance[MESH] |COVID-19/*epidemiology/prevention & control[MESH] |Data Collection[MESH] |Humans[MESH] |Ohio/epidemiology[MESH] |Pilot Projects[MESH] |Schools/*statistics & numerical data[MESH]COVID-19 Surveillance for Local Decision Making : An Academic, School (epmc).pdf DeepDyve Pubget Overpricing