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Table 2 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) (%) at 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

IRSb

LLIN

LLIN

IRS

2020

2030

Guinea savannah

LLINs

70

17

56

40

30

169 (117, 245)

168 (116, 245)

60

40

30

166 (114, 242)

165 (112,241)

80

40

30

150 (97, 223)

148 (91,222)

90

17

56

40

30

160 (108, 245)

155 (100, 230)

60

40

30

156 (104, 230)

151 (94, 225)

80

40

30

136 (84, 206)

125 (62, 196)

Transitional forest

LLINs

70

0

45

40

30

189 (157, 226)

177 (139, 215)

60

40

30

171 (139,206)

148 (103, 186)

80

40

30

146 (115,179)

107(57,145)

90

0

45

40

30

179 (148, 226)

159 (109, 190)

60

40

30

158 (126, 191)

113 (64, 151)

80

40

30

130 (100, 160)

60 (22, 93)

Coastal savannah

LLINs

70

0

35

40

30

97 (79, 110)

87 (63, 104)

60

40

30

77 (60, 91)

51 (26,78)

80

40

30

62 (47, 77)

27 (10,55)

90

0

35

40

30

92 (74, 110)

73 (47, 94)

60

40

30

69 (53, 83)

31 (12, 58)

80

40

30

53 (39, 67)

11 (4, 28)

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