Table 9 Pearson’s Correlation Matrix for meteorological parameters on COVID-19 cases per day.

From: Exploring dependence of COVID-19 on environmental factors and spread prediction in India

 

T-KR

RH-KR

CPD-KR

Karnataka

   

T-KR

1.00

  

RH-KR

−0.92

1.00

 

CPD-KR

−0.56

0.65

1.00

Maharashtra

T-MH

RH-MH

CPD-MH

T-MH

1.00

  

RH-MH

−0.48

1.00

 

CPD-MH

0.003

0.78

1.00

New York

T-NYK

RH-NYK

CPD-NYK

T-NYK

1.00

  

RH-NYK

0.04

1.00

 

CPD-NYK

−0.55

0.38

1.00

Srinagar

T-SNG

RH-SNG

CPD-SNG

T-SNG

1.00

  

RH-SNG

−0.83

1.00

 

CPD-SNG

0.66

−0.54

1.00

Kasaragod

T-KGD

RH-KGD

CPD-KGD

T-KGD

1.00

  

RH-KGD

−0.94

1.00

 

CPD-KGD

−0.23

0.30

1.00

Mumbai

T-MUM

RH-MUM

CPD-MUM

T-MUM

1.00

  

RH-MUM

0.60

1.00

 

CPD-MUM

0.01

0.23

1.00

  1. Pearson’s correlation i.e. linear correlation is evaluated in the form of lower triangular matrix in for Temperature (T), Relative and reported COVID-19 Cases per Day (CPD) for Indian States namely Karnataka (KR) and Maharashtra (MH) and Cities namely New York (NYK), Srinagar (SNG), Kasaragod (KGD) and Mumbai (MUM). Positive and negative signs indicate direct and inverse correlation of the parameters respectively while the number indicates strength of correlation, zero being no correlation and one showing complete correlation.