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


10.19191/EP20.5-6.S2.133

http://scihub22266oqcxt.onion/10.19191/EP20.5-6.S2.133
suck pdf from google scholar
33412825!ä!33412825

suck abstract from ncbi


Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
pmid33412825      Epidemiol+Prev 2020 ; 44 (5-6 Suppl 2): 323-329
Nephropedia Template TP

gab.com Text

Twit Text FOAVip

Twit Text #

English Wikipedia


  • Infezioni da COVID-19 in Friuli Venezia Giulia: analisi retrospettiva su base di popolazione #MMPMID33412825
  • Calagnan E; Gobbato M; Burba I; Del Zotto S; Toffolutti F; Serraino D; Tonutti G
  • Epidemiol Prev 2020[Sep]; 44 (5-6 Suppl 2): 323-329 PMID33412825show ga
  • OBJECTIVES: to study the cumulative incidence, the demographics and health conditions of the population tested for COVID-19, and to map the evolving distribution of individual cases in the population of the Friuli Venezia Giulia Region (North-Eastern Italy). DESIGN: population-based observational study based on a record linkage procedure of databases included in the electronic health information system of the Friuli Venezia Giulia Region. SETTING AND PARTICIPANTS: the study group consisted of individuals who resided in the Friuli Venezia Giulia Region and who underwent COVID-19 testing from 01.03 to 24.04.2020. The study group was identified from the laboratory database, which contains all the microbiological testing performed in regional facilities. Tested people were categorized into positive or negative cases, based on test results. MAIN OUTCOME MEASURES: probability of being tested for and cumulative incidence of COVID-19. RESULTS: the cumulative probability of being tested for COVID-19 was 278/10,000 inhabitants, while the cumulative incidence was 22 cases/10,000. Out of 33,853 tested people, 2,744 (8.1%) turned out to be positive for COVID-19. Women were tested more often than men (337 vs 216/10,000), and they showed a higher incidence of infection than men (25 and 19 infected cases/10,000 residents, respectively). Both cumulative incidence and cumulative probability of being tested were higher in the elderly population. About 25% of infected people was hosted in retirement homes and 9% was represented by healthcare workers. Thirty seven percent of positive cases had hypertension, 15% cardiologic diseases, while diabetes and cancer characterized 11.7% and 10% of the infected population, respectively. The geographic distribution of positive cases showed a faster spread of the infection in the city of Trieste, an urban area with the highest regional population density. CONCLUSIONS: the COVID-19 pandemic did not hit the Friuli Venezia Giulia Region as hard as other Northern Italian Regions. In the early phase, as documented in this study, the COVID-19 pandemic particularly affected women and elderly people, especially those living in retirement homes in Trieste.
  • |*Pandemics[MESH]
  • |*SARS-CoV-2[MESH]
  • |Adolescent[MESH]
  • |Adult[MESH]
  • |Age Distribution[MESH]
  • |Aged[MESH]
  • |Aged, 80 and over[MESH]
  • |Angiotensin II Type 1 Receptor Blockers/therapeutic use[MESH]
  • |Angiotensin Receptor Antagonists/therapeutic use[MESH]
  • |COVID-19 Testing/statistics & numerical data[MESH]
  • |COVID-19/diagnosis/*epidemiology[MESH]
  • |Child[MESH]
  • |Child, Preschool[MESH]
  • |Comorbidity[MESH]
  • |Databases, Factual[MESH]
  • |Female[MESH]
  • |Geography, Medical[MESH]
  • |Homes for the Aged/statistics & numerical data[MESH]
  • |Hospitalization/statistics & numerical data[MESH]
  • |Humans[MESH]
  • |Incidence[MESH]
  • |Infant[MESH]
  • |Infant, Newborn[MESH]
  • |Italy/epidemiology[MESH]
  • |Male[MESH]
  • |Middle Aged[MESH]
  • |Procedures and Techniques Utilization[MESH]
  • |Retrospective Studies[MESH]
  • |Sex Distribution[MESH]


  • DeepDyve
  • Pubget Overpricing
  • suck abstract from ncbi

    Linkout box