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Table 3 Linear regression models of Total laboratory confirmed cases of malaria as predictors of malaria incidence

From: Relationships between test positivity rate, total laboratory confirmed cases of malaria, and malaria incidence in high burden settings of Uganda: an ecological analysis

MRC All ages Age < 5 years
Slope (95% CI)a Adjusted R2 Slope (95% CI)a Adjusted R2
Awach 1.29 (1.19–1.39) 0.98 7.03 (6.17–7.88) 0.96
Lalogi 0.75 (0.68–0.82) 0.98 3.99 (3.45–4.52) 0.95
Opia 2.13 (1.86–2.39) 0.95 13.4 (11.9–14.8) 0.97
Lumino 1.68 (1.32–2.04) 0.88 9.41 (7.89–10.9) 0.93
Lobule 0.57 (0.41–0.73) 0.81 2.78 (1.71–3.86) 0.68
All sites combinedb 1.27 (0.78–1.75) 0.38 5.27 (3.42–7.13) 0.35
  1. a Change in incidence of malaria per 1000 person years / change in total laboratory confirmed cases of malaria
  2. b Random effects model (R2 unadjusted in models using random effects)