Changes

Jump to: navigation, search

Timeline of infection control

23 bytes added, 08:20, 31 July 2020
no edit summary
| 2008 (June) || Publication || || The {{w|World Health Organization}} publishes ''Core components for infection prevention and control programmes'', a report of the Second Meeting of the Informal Network on Infection Prevention and Control in Health Care.<ref>{{cite web |title=Core components for infection prevention and control programmes |url=https://www.who.int/csr/resources/publications/WHO_HSE_EPR_2009_1/en/ |website=who.int |accessdate=19 May 2020}}</ref> || {{w|Switzerland}} ({{w|Geneva}})
|-
| 2008 (November) || Study Disinfection method research || Bacterial infection || A non-peer-reviewed<ref>According to p. 35 of the Redway/Fawdar presentation, "Note: this study has not been peer reviewed but it is intended that the test methods described in this document are provided in sufficient detail to allow replication by those who wish to confirm the results."</ref> study is presented to the European Tissue Symposium by the {{w|University of Westminster}}, London, comparing the bacteria levels present after the use of {{w|paper towel}}s, warm air hand dryers, and modern jet-air hand dryers.<ref>{{cite web| url=http://www.europeantissue.com/pdfs/090402-2008%20WUS%20Westminster%20University%20hygiene%20study,%20nov2008.pdf | work=Table 4| page=13 | title=A comparative study of three different hand drying methods: paper towel, warm air dryer, jet air dryer'| author=Keith Redway and Shameem Fawdar (School of Biosciences, University of Westminster London) |date=November 2008| publisher=European Tissue Symposium|access-date=25 June 2020}}</ref> Of those three methods, only paper towels reduced the total number of bacteria on hands, with "through-air dried" towels the most effective. ||
|-
| 2008 (November) || Surveillance || {{w|Influenza}} || {{w|Google Flu Trends}} is launched as a {{w|web service}} operated by {{w|Google}}, with aims at providing estimates of influenza activity in over 25 countries. By aggregating Google Search queries, GFT attempts to make accurate predictions about flu activity.<ref>{{cite web |title=Google Flu Trends" Found to Be Nearly on Par with CDC Surveillance Data |url=https://www.scientificamerican.com/article/google-flu-trends-on-par-with-cdc-data/#:~:text=Google%20Flu%20Trends%20was%20launched,with%20results%20in%2038%20languages. |website=scientificamerican.com |accessdate=29 July 2020}}</ref> DFT would be proposed as a method to estimate influenza-like illness (ILI) in the general population and to be used in conjunction with traditional surveillance systems.<ref>{{cite journal |last1=Kandula |first1=Sasikiran |title=Reappraising the utility of Google Flu Trends |doi=10.1371/journal.pcbi.1007258 |pmid=31374088 |url=https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6693776/#:~:text=Google%20Flu%20Trends%20(GFT)%20was,were%20often%20overestimates%20of%20ILI. |pmc=6693776}}</ref> ||
62,434
edits

Navigation menu