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Table 4 Predictions of reported clinical malaria (uncomplicated and severe cases) incidence rate per 1000 population with 95% pseudo-confidence intervals (95% p.CI) for various coverage levels of LLINs and IRS and LLIN usage (%) or IRS protective efficacy (PE) (%) in 2020 and by 2030 by zone

From: Accounting for regional transmission variability and the impact of malaria control interventions in Ghana: a population level mathematical modelling approach

Zone

Intervention

Coverage (%)

Usage (%)

PE (%)

Incidence rate/1000 population

(95% p.CI) by yeara

LLIN

IRS

LLIN

LLIN

IRS

2020

2030

Guinea savannah

LLIN and IRS

80

80

56

40

30

144 (93, 214)

103 (37, 170)

90

90

56

40

30

136 (86, 204)

83 (20, 146)

80

80

60

40

30

140 (89, 210)

98 (33, 165)

80

90

60

40

30

137 (86, 206)

86 (23,151)

Transitional forest

LLIN and IRS

80

80

45

40

30

150 (120, 183)

29 (9, 51)

90

90

45

40

30

142 (113, 173)

16 (5,29)

80

80

60

40

30

133 (103, 163)

16 (5, 30)

80

90

60

40

30

129 (100, 159)

10 (4, 20)

Coastal savannah

LLIN and IRS

80

80

35

40

30

72 (56, 85)

7 (3, 18)

90

90

35

40

30

67 (52, 80)

4 (2, 10)

80

80

60

40

30

55 (41, 68)

2 (1,6)

80

90

60

40

30

53 (39, 66)

2 (1, 4)

  1. a95% p.CI 2.5 and 97.5% quantiles around the mean of the distribution of the predicted clinical cases of malaria