Use my Search Websuite to scan PubMed, PMCentral, Journal Hosts and Journal Archives, FullText.
Kick-your-searchterm to multiple Engines kick-your-query now !>
A dictionary by aggregated review articles of nephrology, medicine and the life sciences
Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

suck abstract from ncbi


10.7883/yoken.JJID.2020.067

http://scihub22266oqcxt.onion/10.7883/yoken.JJID.2020.067
suck pdf from google scholar
32475873!ä!32475873

suck abstract from ncbi


Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
pmid32475873      Jpn+J+Infect+Dis 2020 ; 73 (6): 473-475
Nephropedia Template TP

gab.com Text

Twit Text FOAVip

Twit Text #

English Wikipedia


  • Epidemic Characteristics of COVID-19 in Four Chinese Cities #MMPMID32475873
  • Hu J; Rao S; Hu X
  • Jpn J Infect Dis 2020[Nov]; 73 (6): 473-475 PMID32475873show ga
  • In December 2019, there was an outbreak of coronavirus disease 2019 (COVID-19) in Wuhan, China. To date, the number of patients in China has risen to 31,000. We collected patient data from 4 Chinese cities (Hefei, Hangzhou, Wenzhou, and Shenzhen) and described epidemiologic characteristics. As of February 6, 2020, we have extracted data from 950 patients from the 4 cities, including 477 (50.21%) men and 473 (49.79%) women. The age (mean +/- standard deviation) was 45.64 +/-15.59 years. Before contracting COVID-19, 299 (31.47%) patients had come in contact with Wuhan residents or patients diagnosed with COVID-19, while 138 (14.53%) patients had severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection from an unknown source. Most COVID-19 patients in the 4 cities were from Wuhan originally and had spread the infection locally. Therefore, the initial stage of SARS-CoV-2 transmission in cities outside of Wuhan were mainly input. Cutting off the input and controlling the community communication could reduce local incidence.
  • |Adolescent[MESH]
  • |Adult[MESH]
  • |Aged[MESH]
  • |COVID-19/*epidemiology/pathology/prevention & control/transmission[MESH]
  • |China/epidemiology[MESH]
  • |Cities/epidemiology[MESH]
  • |Female[MESH]
  • |Humans[MESH]
  • |Incidence[MESH]
  • |Male[MESH]
  • |Middle Aged[MESH]
  • |SARS-CoV-2[MESH]


  • DeepDyve
  • Pubget Overpricing
  • suck abstract from ncbi

    Linkout box