Table 1.
Negative (n=6,435) |
Positivea (n=815) |
Chi-square p-value |
|
---|---|---|---|
n (%) | n (%) | ||
Child age | |||
6–11 monthsb | 798 (94) | 51 (6) | |
1 year | 1,578 (93) | 113 (7) | |
2 years | 1,468 (88) | 193 (12) | |
3 years | 1,350 (87) | 198 (13) | |
4 years | 1,241 (83) | 260 (17) | <0.0001 |
Child sex | |||
Male | 3,224 (89) | 410 (11) | |
Female | 3,211 (89) | 405 (11) | 0.8888 |
Children in householdc | |||
1 | 974 (92) | 85 (8) | |
2 | 1,357 (92) | 115 (8) | |
3 | 1,217 (88) | 168 (12) | |
4 | 1,067 (89) | 137 (11) | |
5 or more | 1,821 (85) | 310 (15) | <0.0001 |
Mother's age at birth | |||
≤20 years | 1,209 (92) | 101 (8) | |
21–25 years | 1,699 (91) | 175 (9) | |
26–30 years | 1,644 (90) | 190 (10) | |
31–35 years | 1,040 (89) | 133 (11) | |
>35 years | 906 (90) | 98 (10) | 0.0298 |
Mother's highest level of education | |||
No education | 1,274 (87) | 187 (13) | |
Primary | 2,867 (91) | 293 (9) | |
Secondary/higher | 2,295 (87) | 335 (13) | <0.0001 |
Wealth indexd | |||
Poorest | 1,503 (92) | 129 (8) | |
Poorer | 1,555 (92) | 135 (8) | |
Middle | 1,299 (88) | 172 (12) | |
Richer | 1,158 (85) | 198 (15) | |
Richest | 920 (84) | 181 (16) | <0.0001 |
Province | |||
Kinshasa | 415 (87) | 65 (13) | |
Bandundu | 1,062 (86) | 170 (14) | |
Bas-Congo | 271 (86) | 46 (14) | |
Equateur | 1,032 (96) | 47 (4) | |
Kasai-Occidental | 524 (93) | 38 (7) | |
Kasai-Oriental | 743 (93) | 52 (6) | <0.0001 |
Katanga | 646 (86) | 102 (14) | |
Maniema | 245 (96) | 10 (4) | |
Nord-Kivu | 508 (83) | 104 (17) | |
Orientale | 569 (92) | 53 (8) | |
Sud-Kivu | 421 (76) | 130 (24) | |
Residence | |||
Urban | 1,852 (85) | 315 (15) | |
Rural | 4,583 (90) | 500 (10) | <0.0001 |
Includes those who tested positive and indeterminant on Dynex M2 multiplex for varicella-zoster virus.
Only children 6 months of age and older were invited to participate in the serosurvey.
Children in household is the sum of boys and girls that currently live in the household.
Wealth index is a composite measure of a household's cumulative living standard, calculated from household ownership of selected assets (such as televisions and bicycles), materials used for housing construction, and types of water access and sanitation facilities. Using principal components analysis, the DHS separates all interviewed households into five wealth quintiles.