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 |