Skip to main content
. 2023 Jun 15;134:160–167. doi: 10.1016/j.ijid.2023.06.009

Table 3.

Summary estimates of anti-SARS-CoV-2 cross-reactivity.

SUBGROUPS Datasets (samples) Cross-reactivity (95% confidence interval), % I2
Antigenic targeta
 Any N 49 (8,650) 14 (11-16) 96.5%
 Any S 81 (18,404) 11 (10-12) 97.0%
 S1 26 (3,563) 23 (18-27) 98.1%
 RBD 26 (7.032) 7 (5-8) 95.4%
 Any N +S 24 (2,679) 5 (3-8) 92.2%
Type of antibodiesb
 IgG 112 (23,164) 11 (9-12) 96.3%
 IgM 18 (2,562) 13 (9-18) 96.3%
 IgG/IgM 19 (3,128) 12 (9-16) 97.3%
Malaria burdenc
 High 126 (25,019) 14 (12-15) 96.9%
 Low/None 30 (4,004) 2 (1-2) 78.8%
Dengue burdenc
 High 118 (22,363) 12 (10-13) 96.5%
 Low/None 38 (7,560) 9 (7-10) 96.1%
HIV burdenc
 High 52 (10,050) 6 (5-7) 94.0%
 Low/None 91 (17,338) 13 (11-15) 96.7%

Ig, immunoglobulin; N, nucleocapsid; RBD, receptor binding domain; S, spike.

According to chi-square Q test, the differences between subgroups are highly statistically significant (P <0.001) for type of antigenic target, malaria burden, and HIV burden, nominally statistically significant (P <0.05) for dengue burden, and not statistically significant (P >0.05) for type of antibody.

a

“Any S” includes S (n = 15), S1 (n = 26), S2 (n = 9), RBD (n = 26), receptor binding motif (n = 1), N-terminal domain (n = 4); “N+S” includes N+S (n = 17), N+RBD (n = 2), N+RBD+S (n = 1), N+S2 (n = 2), RBD+N (n = 2); for n = 2 the antigen was unknown.

b

not shown are IgA (n = 1 dataset), all immunoglobulin subclasses (n = 5 datasets) and unclear (n = 1 dataset).

c

see Methods for definitions of subgroups.