From: Bayesian random effects modelling with application to childhood anaemia in Malawi
Region/district | %Anaemic (total) |
---|---|
Northern region | 58.71 (728) |
Chitipa | 52.42 (189) |
Karonga | 54.31 (179) |
Nkhata-Bay | 72.89 (117) |
Rumphi | 56.78 (113) |
Mzimba | 59.98 (130) |
Central region | 64.21 (1,560) |
Kasungu | 68.78 (198) |
Nkhota-Kota | 74.82 (181) |
Ntchisi | 55.83 (177) |
Dowa | 65.37 (187) |
Salima | 80.62 (139) |
Lilongwe | 58.39 (211) |
Mchinji | 61.19 (179) |
Dedza | 65.83 (125) |
Ntcheu | 60.01 (163) |
Southern region | 64.11 (1,889) |
Mangochi | 73.40 (160) |
Machinga | 75.24 (141) |
Zomba | 62.75 (165) |
Chiradzulu | 44.85 (116) |
Blantyre | 47.68 (143) |
Mwanza | 64.83 (121) |
Thyolo | 54.42 (148) |
Mulanje | 60.96 (121) |
Phalombe | 60.65 (190) |
Chikwawa | 78.52 (150) |
Nsanje | 72.29 (163) |
Balaka | 70.39 (139) |
Neno | 72.76 (132) |