Table 1 National-level modelled estimates of the probability of seeking treatment for fever in the public sector (Posterior median and the 95% Bayesian credible interval) by travel time, for the shaded region in Fig. 3a, in 29 countries

From: National and sub-national variation in patterns of febrile case management in sub-Saharan Africa

Country

Health facilities

Clusters (Georeferenced)

10 min

30 min

1 h

2 h

Angola

1511

238 (238)

0.52 (0.37–0.54)

0.46 (0.34– 0.53)

0.45 (0.32–0.53)

0.43 (0.31–0.53)

Benin

823

750 (750)

0.53 (0.29– 0.68)

0.51 (0.27– 0.67)

0.5 (0.26–0.67)

0.5 (0.25–0.67)

Burkina Faso

1782

252 (252)

0.63 (0.32– 0.79)

0.62 (0.31– 0.79)

0.62 (0.31– 0.79)

0.62 (0.3–0.79)

Burundi

743

200 (200)

0.56 (0.42– 0.58)

0.47 (0.4–0.55)

0.44 (0.38–0.55)

0.41 (0.37– 0.55)

Cameroon

3061

578 (578)

0.47 (0.28– 0.55)

0.43 (0.26–0.54)

0.41 (0.25– 0.54)

0.41 (0.24– 0.54)

Côte d’Ivoire

1816

351 (351)

0.67 (0.44– 0.74)

0.62 (0.43– 0.73)

0.6 (0.43–0.73)

0.59 (0.43–0.73)

DRC

6241

536 (536)

0.57 (0.5–0.55)

0.46 (0.47–0.52)

0.42 (0.46– 0.52)

0.4 (0.44–0.52)

Eritrea

270

86 (86)

0.55 (0.34– 0.62)

0.49 (0.34–0.6)

0.46 (0.33–0.6)

0.44 (0.33–0.6)

Ethiopia

902

596 (571)

0.33 (0.35–0.28)

0.24 (0.27– 0.26)

0.22 (0.23– 0.26)

0.21 (0.2–0.26)

Gabon

542

334 (334)

0.42 (0.28–0.5)

0.38 (0.25–0.5)

0.37 (0.23–0.5)

0.36 (0.22–0.5)

Ghana

1960

353 (349)

0.65 (0.41–0.73)

0.62 (0.41– 0.72)

0.61 (0.41– 0.72)

0.6 (0.41–0.72)

Guinea

1172

300 (300)

0.54 (0.33– 0.63)

0.51 (0.31–0.62)

0.49 (0.29– 0.62)

0.48 (0.29– 0.62)

Kenya

7149

1829 (1838)

0.64 (0.38– 0.63)

0.59 (0.37– 0.59)

0.56 (0.37–0.59)

0.52 (0.37– 0.59)

Liberia

594

472 (472)

0.64 (0.4–0.71)

0.6 (0.4 –0.68)

0.58 (0.39– 0.68)

0.57 (0.39– 0.68)

Madagascar

2657

284 (284)

0.64 (0.38–0.63)

0.59 (0.37–0.59)

0.56 (0.37– 0.59)

0.52 (0.37– 0.59)

Malawi

561

140 (140)

0.53 (0.37– 0.63)

0.5 (0.36–0.62)

0.48 (0.35– 0.62)

0.48 (0.34– 0.62)

Mali

1350

590 (413)

0.58 (0.35–0.7)

0.56 (0.33–0.7)

0.55 (0.32– 0.69)

0.55 (0.32–0.69)

Mozambique

1175

610 (609)

0.41 (0.22– 0.55)

0.4 (0.21–0.54)

0.4 (0.21–0.54)

0.4 (0.2–0.54)

Namibia

461

407 (407)

0.58 (0.38– 0.62)

0.51 (0.38–0.59)

0.48 (0.38– 0.58)

0.45 (0.37– 0.58)

Nigeria

20,903

567 (562)

0.48 (0.45– 0.44)

0.38 (0.36– 0.42)

0.36 (0.31–0.42)

0.35 (0.27– 0.42)

Rwanda

498

492 (492)

0.57 (0.47– 0.57)

0.47 (0.45–0.53)

0.42 (0.44– 0.53)

0.39 (0.43– 0.53)

Senegal

1604

706 (705)

0.51 (0.32– 0.55)

0.46 (0.3– 0.53)

0.43 (0.29– 0.53)

0.42 (0.28– 0.53)

Sierra Leone

1351

435 (435)

0.63 (0.32– 0.79)

0.62 (0.31– 0.79)

0.62 (0.31–0.79)

0.62 (0.3–0.79)

Swaziland

146

27 (27)

0.59 (0.36– 0.68)

0.54 (0.36–0.66)

0.51 (0.36– 0.66)

0.49 (0.36– 0.66)

Tanzania

11,652

330 (330)

0.71 (0.42– 0.75)

0.68 (0.42– 0.73)

0.67 (0.42– 0.72)

0.65 (0.42– 0.72)

Togo

246

210 (210)

0.55 (0.39– 0.59)

0.48 (0.36– 0.56)

0.45 (0.35– 0.56)

0.43 (0.33–0.56)

Uganda

3936

806 (806)

0.73 (0.45– 0.78)

0.7 (0.45–0.76)

0.69 (0.45– 0.75)

0.68 (0.45– 0.75)

Zambia

1345

721 (721)

0.64 (0.39– 0.72)

0.6 (0.38–0.7)

0.59 (0.38–0.7)

0.58 (0.37–0.7)

Zimbabwe

1444

406 (406)

0.5 (0.39– 0.52)

0.43 (0.35–0.5)

0.4 (0.33–0.5)

0.39 (0.31–0.5)

  1. The probability of treatment was estimated based on any type of facility and was lowest in Ethiopia and highest in Uganda