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Table 3 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

IRS

66

90

56

40

30

146 (95, 218)

102 (36, 169)

56

40

60

105 (59, 164)

6 (1, 15)

56

40

80

78 (39, 125)

0 (0, 1)

Transitional forest

IRS

51

90

45

40

30

159 (128, 192)

35 (12,59)

45

40

60

121 (94, 149)

1 (1,1)

45

40

80

99 (75, 122)

0 (0, 0)

Coastal savannah

IRS

50

90

35

40

30

75 (59, 89)

8 (3, 20)

35

40

60

53 (40, 65)

0 (0, 0)

35

40

80

40 (30, 51)

0 (0, 0)

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