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. 2021 Oct 30;21:1962. doi: 10.1186/s12889-021-11949-5

Table 4.

DLNM model results for separate and cumulative effects of environmental variables on the RR of malaria burden in high transmission settings of Uganda

Effect type Specification Statistic Variable
Temperature Rainfall NDVI
Separate effect Low Variable value 26 3 0.24
Peak month 4 4 2
IRR at peak month 1.22 (0.68–2.16) 4.05 (1.40–11.54)a 1.80 (0.35–9.43)
High Variable value 35 200 0.72
Peak month 2 0 2
IRR at peak month 2.00 (1.42–2.83)a 1.24 (1.01–1.52)a 1.31 (1.04–1.65)a
Cumulative effect Month lag 1 Variable value 26 3 0.24
IRR 0.69 (0.31–1.62) 2.52 (0.72–8.56) 0.44 (0.08–2.36)
Variable value 35 200 0.72
IRR 2.19 (1.21–3.89)a 1.50 (1.12–2.00)a 1.09 (0.87–1.38)
Month lag 2 Variable value 26 3 0.24
IRR 0.43 (0.14–1.42) 3.16 (0.57–17.41) 0.79 (0.13–4.78)
Variable value 35 200 0.72
IRR 4.39 (2.09–9.21)a 1.87 (1.31–2.69)a 1.42 (1.06–1.89)a
Month lag 3 Variable value 26 3 0.24
IRR 0.36 (0.10–1.55) 6.73 (0.64–68.29) 0.54 (0.06–4.68)
Variable value 35 200 0.72
IRR 8.08 (3.41–20.26)a 1.95 (1.28–2.97)a 1.42 (1.04–1.95)a
Month lag 4 Variable value 26 3 0.24
IRR 0.44 (0.10–2.19) 26.70 (1.82–397.00)a 0.83 (0.09–7.18)
Variable value 35 200 0.72
IRR 8.16 (3.41–20.26)a 1.99 (1.22–2.27)a 1.57 (1.09–2.25)a

Peak month is the month corresponding to the highest IRR of malaria

astatistically significant

IRR Incidence risk ratio

NDVI Normalized difference vegetation index