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10.1093/pubmed/fdaa082 http://scihub22266oqcxt.onion/10.1093/pubmed/fdaa082 32542402!7337843!32542402     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       J+Public+Health+(Oxf) 2020 ; 42 (3): 448-450 Nephropedia Template TP {{tp|p=32542402|t=2020. Three months of informational trends in COVID-19 across New York City |pdf=|usr=}}{{32542402}} gab.com Text Three months of informational trends in COVID-19 across New York City JO: J Public Health (Oxf) http://www.kidney.de/pget.php?&tw=1&pmid=32542402 #FOAvip In the midst of widespread community transmission of coronavirus disease 2019 (COVID-19) in New York, residents have sought information about COVID-19. We analyzed trends in New York State (NYS) and New York City (NYC) data to quantify the extent of COVID-19-related queries. Data on the number of 311 calls in NYC, Google Trend data on the search term 'Coronavirus' and information about trends in COVID-19 cases in NYS and the USA were compiled from multiple sources. There were 1228 994 total calls to 311 between 22 January 2020 and 22 April 2020, with 50 845 calls specific to COVID-19 in the study period. The proportion of 311 calls related to COVID-19 increased over time, while the 'interest over time' of the search term 'Coronavirus' has exponentially increased since the end of February 2020. It is vital that public health officials provide clear and up-to-date information about protective measures and crucial communications to respond to information-seeking behavior across NYC. Twit Text FOAVip Three months of informational trends in COVID-19 across New York City ????J Public Health (Oxf) http://www.kidney.de/pget.php?&tw=1&pmid=32542402 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32542402 #FOAvip English Wikipedia <ref>{{Cite pmid|32542402}}</ref> Three months of informational trends in COVID-19 across New York City #MMPMID32542402 Lieberman-Cribbin W; Alpert N; Gonzalez A; Schwartz RM; Taioli E J Public Health (Oxf) 2020[Aug]; 42 (3): 448-450 PMID32542402show ga In the midst of widespread community transmission of coronavirus disease 2019 (COVID-19) in New York, residents have sought information about COVID-19. We analyzed trends in New York State (NYS) and New York City (NYC) data to quantify the extent of COVID-19-related queries. Data on the number of 311 calls in NYC, Google Trend data on the search term 'Coronavirus' and information about trends in COVID-19 cases in NYS and the USA were compiled from multiple sources. There were 1228 994 total calls to 311 between 22 January 2020 and 22 April 2020, with 50 845 calls specific to COVID-19 in the study period. The proportion of 311 calls related to COVID-19 increased over time, while the 'interest over time' of the search term 'Coronavirus' has exponentially increased since the end of February 2020. It is vital that public health officials provide clear and up-to-date information about protective measures and crucial communications to respond to information-seeking behavior across NYC. |*Information Seeking Behavior[MESH] |Betacoronavirus[MESH] |COVID-19[MESH] |Coronavirus Infections/*epidemiology[MESH] |Forecasting[MESH] |Humans[MESH] |New York[MESH] |New York City/epidemiology[MESH] |Pandemics[MESH] |Pneumonia, Viral/*epidemiology[MESH] |Population Surveillance[MESH] |Public Health/*statistics & numerical data/*trends[MESH]Three months of informational trends in COVID-19 across New York City (epmc).pdf DeepDyve Pubget Overpricing