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10.1017/dmp.2020.326 http://scihub22266oqcxt.onion/10.1017/dmp.2020.326 32900417!7596568!32900417     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=32900417&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\32900417.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Disaster+Med+Public+Health+Prep 2022 ; 16 (1): 51-54 Nephropedia Template TP {{tp|p=32900417|t=2022. Evaluation of COVID-19 Surveillance Strategy in Ecuador |pdf=|usr=}}{{32900417}} gab.com Text Evaluation of COVID-19 Surveillance Strategy in Ecuador JO: Disaster Med Public Health Prep http://www.kidney.de/pget.php?&tw=1&pmid=32900417 #FOAvip OBJECTIVES: Evaluate the relevance of the coronavirus disease 2019 (COVID-19) positive case detection policy or model implemented by the Ministry of Public Health (MPH) of Ecuador and to compare it with the experiences of other countries. METHODS: Data contained the daily reports publicized by the MPH. The formulations were carried out under the Conditioned Probability modality applying Bayes' Theorem. All the COVID-19 tests applied in relation to the confirmed cases per million inhabitants were considered to obtain their level of positivity, and compared with the experience of Iceland and South Korea. RESULTS: The probability of detecting positive cases of COVID-19 in Ecuador was higher than Iceland and South Korea, because the diagnostic tests were aimed at symptomatic patients, without identifying asymptomatic or mild symptomatic, who play an important role in the transmission of the disease. In addition, many symptomatic patients were examined but will remain undiagnosed due to the unavailability of tests and the low quality of many of them. CONCLUSIONS: The daily reports on the behavior of the COVID-19 issued by the Ecuadorian government do not adequately represent the growth in the number of those infected each day, nor the actual behavior of the epidemic, affecting possible control measures. Twit Text FOAVip Evaluation of COVID-19 Surveillance Strategy in Ecuador ????Disaster Med Public Health Prep http://www.kidney.de/pget.php?&tw=1&pmid=32900417 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32900417 #FOAvip English Wikipedia <ref>{{Cite pmid|32900417}}</ref> Evaluation of COVID-19 Surveillance Strategy in Ecuador #MMPMID32900417 Canizares Fuentes R; Aroca R; Blasco Carlos M Disaster Med Public Health Prep 2022[Feb]; 16 (1): 51-54 PMID32900417show ga OBJECTIVES: Evaluate the relevance of the coronavirus disease 2019 (COVID-19) positive case detection policy or model implemented by the Ministry of Public Health (MPH) of Ecuador and to compare it with the experiences of other countries. METHODS: Data contained the daily reports publicized by the MPH. The formulations were carried out under the Conditioned Probability modality applying Bayes' Theorem. All the COVID-19 tests applied in relation to the confirmed cases per million inhabitants were considered to obtain their level of positivity, and compared with the experience of Iceland and South Korea. RESULTS: The probability of detecting positive cases of COVID-19 in Ecuador was higher than Iceland and South Korea, because the diagnostic tests were aimed at symptomatic patients, without identifying asymptomatic or mild symptomatic, who play an important role in the transmission of the disease. In addition, many symptomatic patients were examined but will remain undiagnosed due to the unavailability of tests and the low quality of many of them. CONCLUSIONS: The daily reports on the behavior of the COVID-19 issued by the Ecuadorian government do not adequately represent the growth in the number of those infected each day, nor the actual behavior of the epidemic, affecting possible control measures. |*COVID-19/diagnosis/epidemiology[MESH] |Bayes Theorem[MESH] |Ecuador/epidemiology[MESH] |Humans[MESH] |Public Health[MESH]Evaluation of COVID-19 Surveillance Strategy in Ecuador (epmc).pdf DeepDyve Pubget Overpricing