1
|
Natasha N
|
2020
|
USA
|
238
|
30
|
1.7 (1.1–2.8) for mortality
|
2
|
Céline
|
2020
|
France
|
347
|
30
|
3.0 (1.0–8.7) for severity
|
3
|
Nikroo
|
2020
|
USA
|
363
|
NA
|
1.23 (0.77–1.98) for mechanical ventilation;1.26 (0.79–1.98) for ICU; 1.03 (0.51–2.09) for mortality
|
4
|
Edgar
|
2020
|
Mexico
|
140
|
NA
|
2.3265 (1.0133–5.3415) for ICU
|
5
|
Bo
|
2020
|
USA
|
58
|
30
|
1.98 (0.56–7.72) for hospitalisation; 2.04 (0.5–8.4) for mortality
|
6
|
Marie E
|
2020
|
USA
|
531
|
30
|
1.9 (1.1–3.3) for hospitalisation
|
7
|
Geehan
|
2020
|
USA
|
463
|
40
|
2.0 (1.4–3.6) for ICU
|
8
|
Eduardo
|
2020
|
Mexico
|
32,583
|
NA
|
6.92 (5.54–8.65) for infection
|
9
|
Michael
|
2020
|
USA
|
1000
|
30
|
1.2911 (0.9478–1.7587) for ICU
|
10
|
Xiao
|
2020
|
USA
|
NA
|
NA
|
0.94 (0.86, 1.02) for mortality
|
11
|
Mark
|
2020
|
UK
|
387,109
|
30
|
1.97 (1.61, 2.42) for hospitalisation
|
12
|
Philip
|
2020
|
USA
|
50
|
NA
|
14.4 (2.7052–76.6517) for severity
|
13
|
Juan
|
2020
|
Bolivia
|
107
|
NA
|
12.125 (1.690–86.948) for mortality
|
14
|
Stefano
|
2020
|
Italy
|
132
|
30
|
1.526 (1.243–1.874) for ICU
|
15
|
J.M.
|
2020
|
Spain
|
172
|
30
|
4.725 (1.6143–13.8302) for ICU
|
16
|
Omar
|
2020
|
Mexico
|
177,133
|
NA
|
1.5790(1.5358–1.6235) for infection
|
17
|
Nicole
|
2020
|
USA
|
928
|
NA
|
0.99 (0.58–1.71) for mortality
|
18
|
Kaveh
|
2020
|
USA
|
770
|
30
|
1.76 (1.24–2.48) for ICU; 1.72 (1.22–2.44) for mechanical ventilation; 1.15 (0.62–2.14) for mortality
|
19
|
Luca
|
2020
|
Italy
|
92
|
30
|
4.19 (1.36–12.89) for mechanical ventilation; 11.65 (3.88–34.96) for ICUs; 0.27 (0.03–2.05) for mortality
|
20
|
Eboni G
|
2020
|
USA
|
3626
|
30
|
1.43 (1.20–1.71) for hospitalization
|
21
|
Frederick S
|
2020
|
USA
|
105
|
30
|
1.2908 (0.5936–2.8071) for severity
|
22
|
Eyal
|
2020
|
USA
|
3406
|
40
|
1.6 (1.2–2.3) for the older population mortality
|
23
|
Andrea
|
2020
|
Italy
|
233
|
NA
|
3.04 (1.42–6.49) for mortality
|
24
|
Annemarie B1
|
2020
|
UK
|
20,133
|
NA
|
1.33 (1.19 to 1.49) for mortality
|
25
|
Qingxian
|
2020
|
China
|
383
|
28
|
3.4 (1.4–8.26) for severity
|
26
|
Jerry Y
|
2020
|
USA
|
67
|
30
|
0.8000 (0.1784–3.5872) for ICU
|
27
|
Markos
|
2020
|
USA
|
103
|
30
|
6.85 (1.05–44.82) for mechanical ventilation; 2.65 (0.64–10.95) for ICU
|
28
|
Arthur
|
2020
|
France
|
124
|
30
|
3.45 (0.83–14.31) for mechanical ventilation
|
29
|
Simon
|
2020
|
UK
|
3802
|
30
|
1.41 (1.04–1.91) for infection
|
30
|
Kenneth I
|
2020
|
China
|
214
|
25
|
6.32 (1.16–34.54) for severity
|
31
|
Ling
|
2020
|
China
|
323
|
30
|
1.2514 (0.3735–4.1935) for severity
|
32
|
Leonidas
|
2020
|
USA
|
200
|
35
|
3.78 (1.45–9.83) for mortality
|
33
|
Christopher
|
2020
|
USA
|
5279
|
30
|
1.8 (1.47 to 2.2) for hospitalisation
|
34
|
Rui
|
2020
|
China
|
202
|
28
|
9.219 (2.731–31.126) for severity
|
35
|
Feng
|
2020
|
China
|
150
|
25
|
2.91 (1.31–6.47) for severity
|
36
|
Matteo
|
2020
|
Italy
|
482
|
30
|
4.96 (2.53–9.74) for ICU; 12.1 (3.25–45.1) for mortality
|
37
|
Malcolm
|
2020
|
France
|
83
|
30
|
6.7879 (2.5923–17.7739) for infection
|
38
|
Mohamed
|
2020
|
USA
|
504
|
30
|
1.3 (1.0–1.7) for mortality; 2.4 (1.5–4.0) for mechanical ventilation
|
39
|
Yudong Peng
|
2020
|
China
|
244
|
24
|
8.5853 (4.1817–17.6260) for mortality
|
40
|
Ming Deng
|
2020
|
China
|
65
|
28
|
14 (2.0799–94.2358) for severity
|
41
|
Marta Crespo
|
2020
|
Spain
|
16
|
NA
|
5 (0.5842–42.7971) for mortality
|
42
|
Danielle Toussie
|
2020
|
USA
|
338
|
30
|
3.0 (1.6–5.6) for infection
|
43
|
Michelle Elias
|
2020
|
France
|
1216
|
30
|
3.31 (1.90 to 5.77) for infection
|
44
|
Sudham Chand
|
2020
|
USA
|
300
|
30
|
1.35 (0.88,2.06) for mortality
|
45
|
Justin S. Brandt
|
2020
|
USA
|
183
|
30
|
0.875 (0.3466–2.2088) for infection
|
46
|
Astrid Lievre
|
2020
|
France
|
1289
|
30
|
1.1461 (0.8165–1.6088) for mortality
|