Table 1 Characteristics of each HIV cohort in an observational cohort study of the effect of rainfall on HIV outcomes in Southern Africa
Cohort | Country | Number of centres | Number of PWH | Rural | Urban | Median rainfall change rank (IQR) |
|---|---|---|---|---|---|---|
CIDRZ | Zambia | 241 | 121,247 | 18,766 (15.5%) | 102,481 (84.5%) | 25 (16–31) |
Gugulethu Community Health Centre | South Africa | 1 | 3131 | 0 (0.0%) | 3131 (100.0%) | 16 (16–16) |
Hlabisa | South Africa | 1 | 6331 | 6331 (100.0%) | 0 (0.0%) | 1 (1–1) |
Khayelitsha | South Africa | 4 | 27,076 | 0 (0.0%) | 27,076 (100.0%) | 4 (4–4) |
Kheth’Impilo | South Africa | 83 | 45,323 | 0 (0.0%) | 45,323 (100.0%) | 33 (28–39) |
Lighthouse Trust | Malawi | 2 | 28,947 | 0 (0.0%) | 28,947 (100.0%) | 4 (4–4) |
Newlands Clinic | Zimbabwe | 1 | 4391 | 0 (0.0%) | 4391 (100.0%) | 22 (22–22) |
SMART Lesotho | Lesotho | 6 | 2772 | 2428 (87.6%) | 344 (12.4%) | 7 (7–7) |
SMART Mozambique | Mozambique | 12 | 7016 | 7016 (100.0%) | 0 (0.0%) | 60 (51–63) |
SMART Zimbabwe | Zimbabwe | 34 | 13,302 | 13,302 (100.0%) | 0 (0.0%) | 10 (7–13) |
Themba Lethu | South Africa | 1 | 11,172 | 0 (0.0%) | 11,172 (100.0%) | 22 (22–22) |
Overall |  | 386 | 270,708 | 47,843 (17.7%) | 222,865 (82.3%) | 22 (4–31) |