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10.1017/dmp.2020.254 http://scihub22266oqcxt.onion/10.1017/dmp.2020.254 32674742!7411445!32674742     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=32674742&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 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       Disaster+Med+Public+Health+Prep 2021 ; 15 (1): e10-e14 Nephropedia Template TP {{tp|p=32674742|t=2021. Predicting SARS-CoV-2 Infection Trend Using Technical Analysis Indicators |pdf=|usr=}}{{32674742}} gab.com Text Predicting SARS-CoV-2 Infection Trend Using Technical Analysis Indicators JO: Disaster Med Public Health Prep http://www.kidney.de/pget.php?&tw=1&pmid=32674742 #FOAvip OBJECTIVES: Coronavirus disease 2019 (COVID-19) pandemic is a global health emergency caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). This study aimed to evaluate whether technical analysis (TA) indicators, commonly used in the financial market to spot security price trend reversals, might be proficiently used also to anticipate a possible increase of SARS-Cov-2 spread. METHODS: Analysis was performed on datasets from Italy, Iran, and Brazil. TA indicators tested were: (1) the combined use of a faster (3-d) and a slower (20-d) simple moving averages (SMA), (2) the moving average converge/divergence (MACD), and (3) the divergence in the direction of the number of new daily cases trend and the corresponding MACD histogram. RESULTS: We found that the use of both fast/slow SMAs and MACD provided a reliable signal of trend inversion of SARS-Cov-2 spread. Results were consistent for all the 3 countries considered. The trend reversals signaled by the indicators were always followed by a sustained trend persistence until a new signal of reversal appeared. CONCLUSIONS: TA indicators tested here proved to be reliable tools to identify in the short mid-term a subsequent change of direction of viral spread trend either downward, upward, or sideward. Twit Text FOAVip Predicting SARS-CoV-2 Infection Trend Using Technical Analysis Indicators ????Disaster Med Public Health Prep http://www.kidney.de/pget.php?&tw=1&pmid=32674742 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32674742 #FOAvip English Wikipedia <ref>{{Cite pmid|32674742}}</ref> Predicting SARS-CoV-2 Infection Trend Using Technical Analysis Indicators #MMPMID32674742 Paroli M; Sirinian MI Disaster Med Public Health Prep 2021[Feb]; 15 (1): e10-e14 PMID32674742show ga OBJECTIVES: Coronavirus disease 2019 (COVID-19) pandemic is a global health emergency caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). This study aimed to evaluate whether technical analysis (TA) indicators, commonly used in the financial market to spot security price trend reversals, might be proficiently used also to anticipate a possible increase of SARS-Cov-2 spread. METHODS: Analysis was performed on datasets from Italy, Iran, and Brazil. TA indicators tested were: (1) the combined use of a faster (3-d) and a slower (20-d) simple moving averages (SMA), (2) the moving average converge/divergence (MACD), and (3) the divergence in the direction of the number of new daily cases trend and the corresponding MACD histogram. RESULTS: We found that the use of both fast/slow SMAs and MACD provided a reliable signal of trend inversion of SARS-Cov-2 spread. Results were consistent for all the 3 countries considered. The trend reversals signaled by the indicators were always followed by a sustained trend persistence until a new signal of reversal appeared. CONCLUSIONS: TA indicators tested here proved to be reliable tools to identify in the short mid-term a subsequent change of direction of viral spread trend either downward, upward, or sideward. |*Models, Economic[MESH] |Brazil/epidemiology[MESH] |COVID-19/*economics/*epidemiology[MESH] |Humans[MESH] |Iran/epidemiology[MESH] |Italy/epidemiology[MESH] |Pandemics[MESH] |Pneumonia, Viral/*economics/*epidemiology/virology[MESH] |Predictive Value of Tests[MESH]Predicting SARS-CoV-2 Infection Trend Using Technical Analysis Indicat(epmc).pdf DeepDyve Pubget Overpricing