TABLE 2.

Bias risk assessment

Study	❶	❷	❸	❹	❺	❻	❼	❽	Score
Almazeedi 19	2	0	1	2	2	2	2	0	11
Argenziano 20	1	2	1	2	0	2	2	0	10
Auld 21	2	2	1	2	0	2	2	0	12
Berenguer 22	2	2	1	2	1	2	2	0	12
Buckner 23	1	2	1	2	0	2	2	0	10
Cai 24	2	2	2	2	0	2	2	0	12
Cao 25	2	2	0	2	0	2	2	0	10
Caratozzolo 26	2	2	2	2	1	1	0	0	10
CDC COVID‐19 Response Team 27	2	1	1	2	1	2	1	0	10
Chen 13	2	2	1	2	0	2	2	0	11
Deng 28	2	0	1	0	0	2	2	0	7
European Centre for Disease Prevention and Control, Week 43 29	—	—	—	—	—	—	—	—	—
Feng 30	2	2	2	2	2	2	2	0	14
Feng 31	1	2	1	2	0	2	2	0	10
Gao 32	2	2	1	2	0	2	2	0	11
Giorgi Rossi 33	2	2	1	2	0	2	1	0	10
Goyal 34	2	2	1	2	2	2	2	0	13
Grein 35	0	2	2	2	0	2	1	1	10
Guan 36	2	1	1	2	2	2	1	0	11
Gupta 37	2	2	2	2	1	2	2	0	13
Güner 38	2	1	0	2	0	1	2	0	8
Harrison 39	2	1	1	2	1	2	2	0	11
He 40	2	2	1	2	0	2	2	1	12
Hu 41	2	1	0	2	1	2	2	0	10
Huang 42	2	2	2	2	2	2	2	0	14
Israelsen 43	2	2	1	2	0	1	2	0	10
Javanian 44	1	2	1	2	0	0	2	0	8
Lagi 45	2	2	2	2	0	2	2	0	12
Liu 46	2	0	0	2	0	2	2	0	8
Li 47	2	2	1	2	2	2	2	0	13
Li 48	2	0	1	2	0	2	2	0	9
Mo 49	1	2	1	0	0	0	2	0	6
Parra‐Bracamonte 50	2	2	1	2	0	2	2	0	11
Paranjpe 51	2	2	1	2	2	1	2	0	12
Qi 52	2	2	1	2	0	2	2	0	11
Salacup 53	2	1	1	2	1	2	0	0	9
Shi 54	2	1	1	2	2	2	2	0	12
Tomlins 55	1	2	0	2	0	1	2	0	8
Wan 56	2	2	0	2	0	1	2	0	9
Wang 57	2	2	1	2	2	2	2	0	13
Wang 58	2	2	1	2	0	2	2	0	11
Wang 59	2	2	0	2	2	1	2	0	11
Wu 60	2	0	1	0	0	1	2	0	6
Yan 61	2	1	0	2	0	2	2	0	9
Yang 62	2	0	1	2	0	2	2	0	9
Yang 63	2	2	1	2	2	2	2	0	13
Zhang 64	2	0	1	2	2	2	0	0	9
Zhang 65	2	0	1	2	2	2	2	0	11
Zhang 66	2	2	1	2	2	2	2	0	13
Zhang 67	2	2	1	2	2	2	2	0	13
Zhao 68	2	1	0	2	2	2	2	0	11
Zheng 69	2	2	1	2	0	2	2	0	11
Zhou 70	2	2	1	2	2	2	2	0	13