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10.2196/18939 http://scihub22266oqcxt.onion/10.2196/18939 32598290!7505682!32598290     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       JMIR+Public+Health+Surveill 2020 ; 6 (3): e18939 Nephropedia Template TP {{tp|p=32598290|t=2020. Using Open-Source Intelligence to Detect Early Signals of COVID-19 in China: Descriptive Study |pdf=|usr=}}{{32598290}} gab.com Text Using Open-Source Intelligence to Detect Early Signals of COVID-19 in China: Descriptive Study JO: JMIR Public Health Surveill http://www.kidney.de/pget.php?&tw=1&pmid=32598290 #FOAvip BACKGROUND: The coronavirus disease (COVID-19) outbreak in China was first reported to the World Health Organization (WHO) on December 31, 2019, and the first cases were officially identified around December 8, 2019. Although the origin of COVID-19 has not been confirmed, approximately half of the early cases were linked to a seafood market in Wuhan. However, the first two documented patients did not visit the seafood market. News reports, social media, and informal sources may provide information about outbreaks prior to formal notification. OBJECTIVE: The aim of this study was to identify early signals of pneumonia or severe acute respiratory illness (SARI) in China prior to official recognition of the COVID-19 outbreak in December 2019 using open-source data. METHODS: To capture early reports, we searched an open source epidemic observatory, EpiWatch, for SARI or pneumonia-related illnesses in China from October 1, 2019. The searches were conducted using Google and the Chinese search engine Baidu. RESULTS: There was an increase in reports following the official notification of COVID-19 to the WHO on December 31, 2019, and a report that appeared on December 26, 2019 was retracted. A report of severe pneumonia on November 22, 2019, in Xiangyang was identified, and a potential index patient was retrospectively identified on November 17. CONCLUSIONS: The lack of reports of SARI outbreaks prior to December 31, 2019, with a retracted report on December 26, suggests media censorship, given that formal reports indicate that cases began appearing on December 8. However, the findings also support a relatively recent origin of COVID-19 in November 2019. The case reported on November 22 was transferred to Wuhan approximately one incubation period before the first identified cases on December 8; this case should be further investigated, as only half of the early cases were exposed to the seafood market in Wuhan. Another case of COVID-19 has since been retrospectively identified in Hubei on November 17, 2019, suggesting that the infection was present prior to December. Twit Text FOAVip Using Open-Source Intelligence to Detect Early Signals of COVID-19 in China: Descriptive Study ????JMIR Public Health Surveill http://www.kidney.de/pget.php?&tw=1&pmid=32598290 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32598290 #FOAvip English Wikipedia <ref>{{Cite pmid|32598290}}</ref> Using Open-Source Intelligence to Detect Early Signals of COVID-19 in China: Descriptive Study #MMPMID32598290 Kpozehouen EB; Chen X; Zhu M; Macintyre CR JMIR Public Health Surveill 2020[Sep]; 6 (3): e18939 PMID32598290show ga BACKGROUND: The coronavirus disease (COVID-19) outbreak in China was first reported to the World Health Organization (WHO) on December 31, 2019, and the first cases were officially identified around December 8, 2019. Although the origin of COVID-19 has not been confirmed, approximately half of the early cases were linked to a seafood market in Wuhan. However, the first two documented patients did not visit the seafood market. News reports, social media, and informal sources may provide information about outbreaks prior to formal notification. OBJECTIVE: The aim of this study was to identify early signals of pneumonia or severe acute respiratory illness (SARI) in China prior to official recognition of the COVID-19 outbreak in December 2019 using open-source data. METHODS: To capture early reports, we searched an open source epidemic observatory, EpiWatch, for SARI or pneumonia-related illnesses in China from October 1, 2019. The searches were conducted using Google and the Chinese search engine Baidu. RESULTS: There was an increase in reports following the official notification of COVID-19 to the WHO on December 31, 2019, and a report that appeared on December 26, 2019 was retracted. A report of severe pneumonia on November 22, 2019, in Xiangyang was identified, and a potential index patient was retrospectively identified on November 17. CONCLUSIONS: The lack of reports of SARI outbreaks prior to December 31, 2019, with a retracted report on December 26, suggests media censorship, given that formal reports indicate that cases began appearing on December 8. However, the findings also support a relatively recent origin of COVID-19 in November 2019. The case reported on November 22 was transferred to Wuhan approximately one incubation period before the first identified cases on December 8; this case should be further investigated, as only half of the early cases were exposed to the seafood market in Wuhan. Another case of COVID-19 has since been retrospectively identified in Hubei on November 17, 2019, suggesting that the infection was present prior to December. |*Disease Outbreaks[MESH] |Betacoronavirus[MESH] |COVID-19[MESH] |China/epidemiology[MESH] |Coronavirus[MESH] |Coronavirus Infections/diagnosis/*epidemiology/virology[MESH] |Disclosure[MESH] |Documentation[MESH] |Humans[MESH] |Pandemics[MESH] |Pneumonia[MESH] |Pneumonia, Viral/diagnosis/*epidemiology/virology[MESH] |Retrospective Studies[MESH] |SARS-CoV-2[MESH] |Search Engine[MESH]Using Open-Source Intelligence to Detect Early Signals of COVID-19 in (epmc).pdf DeepDyve Pubget Overpricing