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


10.1016/j.dsx.2020.05.045

http://scihub22266oqcxt.onion/10.1016/j.dsx.2020.05.045
suck pdf from google scholar
32540732!7273152!32540732
unlimited free pdf from europmc32540732    free
PDF from PMC    free
html from PMC    free

suck abstract from ncbi


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
pmid32540732      Diabetes+Metab+Syndr 2020 ; 14 (5): 801-805
Nephropedia Template TP

gab.com Text

Twit Text FOAVip

Twit Text #

English Wikipedia


  • Projections for COVID-19 pandemic in India and effect of temperature and humidity #MMPMID32540732
  • Goswami K; Bharali S; Hazarika J
  • Diabetes Metab Syndr 2020[Sep]; 14 (5): 801-805 PMID32540732show ga
  • BACKGROUND AND AIMS: As, the COVID-19 has been deemed a pandemic by World Health Organization (WHO), and since it spreads everywhere throughout the world, investigation in relation to this disease is very much essential. Investigation of pattern in the occurrence of COVID-19, to check the influence of different meteorological factors on the incidence of COVID-19 and prediction of incidence of COVID-19 are the objectives of this paper. METHODS: For trend analysis, Sen's Slope and Man-Kendall test have been used, Generalized Additive Model (GAM) of regression has been used to check the influence of different meteorological factors on the incidence and to predict the frequency of COVID-19, and Verhulst (Logistic) Population Model has been used. RESULTS: Statistically significant linear trend found for the daily-confirmed cases of COVID-19. The regression analysis indicates that there is some influence of the interaction of average temperature (AT) and average relative humidity (ARH) on the incidence of COVID-19. However, this result is not consistent throughout the study area. The projections have been made up to 21st May, 2020. CONCLUSIONS: Trend and regression analysis give an idea of the incidence of COVID-19 in India while projection made by Verhulst (Logistic) Population Model for the confirmed cases of the study area are encouraging as the sample prediction is as same as the actual number of confirmed COVID-19 cases.
  • |*Humidity[MESH]
  • |*Pandemics/statistics & numerical data[MESH]
  • |*Temperature[MESH]
  • |Betacoronavirus/physiology[MESH]
  • |COVID-19[MESH]
  • |Climate[MESH]
  • |Coronavirus Infections/*epidemiology[MESH]
  • |Forecasting/*methods[MESH]
  • |Geography[MESH]
  • |Humans[MESH]
  • |Incidence[MESH]
  • |India/epidemiology[MESH]
  • |Pneumonia, Viral/*epidemiology[MESH]
  • |Regression Analysis[MESH]


  • DeepDyve
  • Pubget Overpricing
  • suck abstract from ncbi

    Linkout box