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


10.3855/jidc.13243

http://scihub22266oqcxt.onion/10.3855/jidc.13243
suck pdf from google scholar
34106883!ä!34106883

suck abstract from ncbi


Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
pmid34106883      J+Infect+Dev+Ctries 2021 ; 15 (5): 618-624
Nephropedia Template TP

gab.com Text

Twit Text FOAVip

Twit Text #

English Wikipedia


  • Trends of Epidemiological and Demographic Indicators of COVID-19 in India #MMPMID34106883
  • Gupta MK; Bhardwaj P; Goel AD; Saurabh S; Misra S
  • J Infect Dev Ctries 2021[May]; 15 (5): 618-624 PMID34106883show ga
  • INTRODUCTION: This study was planned to assess the trends of epidemiological indicators and demographic determinants related to the COVID-19 in India. METHODOLOGY: This was a descriptive analysis of the COVID-19 cases and their outcomes between 1st March to 31st May 2020 in India. Unpaired t-test and ANOVA were used to determine the statistical differences. Linear regression models were prepared to estimate the effect of testing on the fatalities. The Infection Fatality Rate (IFR)/Case Fatality Rate (CFR), doubling time, and Basic Reproduction Number (R0) per week were calculated. RESULTS: Two-thirds of the cases were between 21-50 years of age, while three-fourth of deaths were among people above 50-years of age. The mean age of people infected with COVID-19 was declining throughout the study period. The mean age of infected males and females was significantly different. The male-female ratio of both infection and deaths due to COVID-19 was near about 2:1. IFR/CFR was 3.31 (95% CI = 3.13-3.50) in April, which reduced to 2.84 (95% CI = 2.77-2.92) in May. An incremental trend was observed in the recovery rates (9.42% to 48.18%), tests conducted / million population (12 / million to 2708 / million) and doubling time (3.59 to 17.71 days). The number of tests was significantly influencing the fatalities (beta = 0.016, 95% CI = 0.012-0.020). The overall R0 was found to be 1.72. CONCLUSIONS: Public health interventions were likely effective in containing the spread of COVID-19. There is a need to further improve the testing capacity. The high-risk category of individuals being prioritized for hospital admission should be redefined to include individuals older than 50 years.
  • |Adolescent[MESH]
  • |Adult[MESH]
  • |Age Factors[MESH]
  • |Aged[MESH]
  • |Aged, 80 and over[MESH]
  • |Analysis of Variance[MESH]
  • |COVID-19 Testing/*statistics & numerical data[MESH]
  • |COVID-19/diagnosis/*mortality[MESH]
  • |Child[MESH]
  • |Female[MESH]
  • |Humans[MESH]
  • |India/epidemiology[MESH]
  • |Male[MESH]
  • |Middle Aged[MESH]
  • |Pandemics[MESH]
  • |Risk Factors[MESH]
  • |SARS-CoV-2[MESH]
  • |Sex Distribution[MESH]


  • DeepDyve
  • Pubget Overpricing
  • suck abstract from ncbi

    Linkout box