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Table 2 The distribution of children by outcome according to the categorical explanatory variables

From: Copula geoadditive modelling of anaemia and malaria in young children in Kenya, Malawi, Tanzania and Uganda

Variable

Sample size

Anaemia (%)

Malaria (%)

Both (%)

Country

Kenya

3424

1311 (38.3)

317 (9.3)

206 (6.0)

Malawi

2270

1323 (58.3)

601 (26.5)

459 (20.2)

Tanzania

7819

4408 (56.4)

1099 (14.1)

900 (11.5)

Uganda

4683

2517 (53.7)

1575 (33.6)

1185 (25.3)

Gender

Male

9143

4927 (53.9)

1821 (19.9)

1410 (15.4)

Female

9053

4632 (51.2)

1771 (19.6)

1340 (14.8)

Type of place of residence

Urban

4605

2160 (46.9)

292 (6.3)

220 (4.8)

Rural

13591

7399 (54.4)

3300 (24.3)

2530 (18.6)

Mother’s highest education level

No education

2893

1744 (60.3)

705 (24.4)

561 (19.4)

Primary

9757

5253 (53.8)

2013 (20.6)

1565 (16.0)

Secondary and higher

3110

1444 (46.4)

290 (9.3)

194 (6.2)

Unknown

2436

1118 (45.9)

584 (24.0)

430 (17.7)

Type of toilet facilities

No toilet facility

2367

1462 (61.8)

641 (27.1)

521 (22.0)

Pit latrine

14587

7564 (51.9)

2914 (20.0)

2202 (15.1)

Flush toilet

1242

533 (42.9)

37 (3.0)

27 (2.2)

Gender of head of household

Male

13869

7342 (52.9)

2736 (19.7)

2119 (15.3)

Female

4327

2217 (51.2)

856 (19.8)

631 (14.6)