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10.1038/d41586-020-02072-3 http://scihub22266oqcxt.onion/10.1038/d41586-020-02072-3 32651472!ä!32651472 Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=32651472&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       Nature 2020 ; 583 (7816): 352-355 Nephropedia Template TP {{tp|p=32651472|t=2020. Cities - try to predict superspreading hotspots for COVID-19 |pdf=|usr=}}{{32651472}} gab.com Text Cities - try to predict superspreading hotspots for COVID-19 JO: Nature http://www.kidney.de/pget.php?&tw=1&pmid=32651472 #FOAvip ä Twit Text FOAVip Cities - try to predict superspreading hotspots for COVID-19 ????Nature http://www.kidney.de/pget.php?&tw=1&pmid=32651472 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32651472 #FOAvip English Wikipedia <ref>{{Cite pmid|32651472}}</ref> Cities - try to predict superspreading hotspots for COVID-19 #MMPMID32651472 Bouffanais R; Lim SS Nature 2020[Jul]; 583 (7816): 352-355 PMID32651472show ga ä |*Forecasting[MESH] |*Social Behavior[MESH] |*Uncertainty[MESH] |Basic Reproduction Number/*statistics & numerical data[MESH] |Big Data[MESH] |COVID-19[MESH] |Cities/epidemiology[MESH] |City Planning[MESH] |Contact Tracing[MESH] |Coronavirus Infections/*epidemiology/prevention & control/*transmission[MESH] |Disaster Planning[MESH] |Disease Transmission, Infectious/prevention & control/*statistics & numerical data[MESH] |Humans[MESH] |Locomotion[MESH] |Pandemics/prevention & control[MESH] |Pneumonia, Viral/*epidemiology/prevention & control/*transmission[MESH] |Risk Assessment[MESH] |Severe Acute Respiratory Syndrome/epidemiology/transmission[MESH] |Time Factors[MESH]Cities - try to predict superspreading hotspots for COVID-19 (epmc).pdf DeepDyve Pubget Overpricing