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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)