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. 2018 Apr 26;3(3):e00070. doi: 10.1016/j.parepi.2018.e00070

Table 3.

Effects of climatic factors and interventions on the spatio-temporal patterns of malaria incidence estimated from Bayesian negative binomial models adjusted for interventions, socio-economic and health seeking behavior proxies.

Predictor Children <5 years
Individuals 5 years and above
IRR (95%BCI) IRR (95%BCI)
Rainfall (mm) (≤77.0) 1 1
 77.1–126.0 1.09 (1.07, 1.13)a 1.08 (1.05, 1.10)a
 126.1–354 1.13 (1.11, 1.17)a 1.09 (1.06, 1.13)a
NDVI (≤0.55) 1 1
 0.56–0.66 1.13 (1.10, 1.16)a 1.18 (1.14, 1.23)a
 0.67–0.81 1.19 (1.14, 1.24)a 1.28 (1.21, 1.32)a
LSTD (°C) (≤26.5) 1 1
 26.6–29.3 1.06 (1.03, 1.09)a 1.04 (1.01, 1.06)a
 29.4–44.6 0.94 (0.88, 0.98)a 0.94 (0.92, 0.97)a
LSTN (°C) (≤17.1) 1 1
 17.2–18.9 1.00 (0.93, 1.11) 1.00 (0.97, 1.04)
 19.0–23.3 1.00 (0.94, 1.10) 1.00 (0.95, 1.05)
Altitude 0.78 (0.72, 0.79)a 0.90 (0.86, 0.94)a
Land cover (Others) 1 1
 Crops 1.07 (1.04, 1.10)a 1.10 (1.05, 1.17)a
Distance to water bodies (km)(≤16.9) 1 1
 17.0–45.8 1.01 (0.93, 1.06) 0.87 (0.83, 0.90)a
 46.0–152.6 0.86 (0.83, 0.90) 0.89 (0.80, 0.91)a
Interventionsc
 ITNs 0.27 (0.21, 0.38)a 1.19 (1.00, 1.20)
 ACTs 0.70 (0.62, 0.78)a 0.54 (0.42, 0.63)a
Interactions
Rainfall(mm) (≤77.0) ∗ ITNs 1 1
 (77.1–126.0) ∗ ITNs 1.04 (0.67, 1.60) 1.19 (0.78, 1.79)
 (126.1–354) ∗ ITNs 0.79 (0.50, 1.26) 0.82 (0.52, 1.28)
NDVI (≤0.55) ∗ ITNs 1 1
 (0.56–0.66) ∗ ITNs 1.60 (1.03, 2.46)a 1.84 (1.21, 2.80)a
 (0.67–0.81) ∗ ITNs 3.20 (1.88, 5.43)a 3.08 (1.85, 5.13)a
LSTD (°C) (≤26.5) ∗ ITNs 1 1
 (26.6-29.3) ∗ ITNs 1.47 (1.05, 2.31)a 1.82 (1.18, 2.82)a
 (29.4–44.6) ∗ ITNs 1.70 (1.03, 2.80)a 2.46 (1.52, 3.97)a
Rainfall(mm) (≤77.0) ∗ ACTs 1 1
 (77.1–126.0) ∗ ACTs 1.00 (0.76, 1.30) 1.10 (0.85, 1.42)a
 (126.1–354) ∗ ACTs 1.11 (0.82, 1.49) 1.26 (0.95, 1.67)a
NDVI (≤0.55) ∗ ACTs 1 1
 (0.56–0.66) ∗ ACTs 1.12 (1.07, 1.48)a 1.05 (1.01, 1.37)a
 (0.67–0.81) ∗ ACTs 1.26 (1.13, 1.72)a 1.18 (1.06, 1.59)a
LSTD (°C) (≤26.5) ∗ ACTs 1 1
 (26.6–29.3) ∗ ACTs 1.18 (1.05, 1.55)a 1.37 (1.06, 1.77)a
 (29.4–44.6) ∗ ACTs 0.91 (0.68, 0.97)a 1.24 (0.92, 1.66)
Wealth index (Poorest) 1 1
 Poorer 0.82 (0.77, 0.88)a 1.09 (0.99, 1.14)
 Middle 0.71 (0.67, 0.74)a 0.86 (0.83, 0.90)a
 Richer 0.70 (0.68, 0.76)a 0.83 (0.78, 0.87)a
 Richest 0.78 (0.73, 0.86)a 0.91 (0.79, 0.95)a
Malaria treatment seeking behavior 0.47 (0.40, 0.53)a 0.54 (0.45, 0.60)a



Temporal trendb Median (95%BCI) Median (95%BCI)
2014 −0.02 (−0.03, −0.01) −0.18 (−0.21, −0.16)
2015 −0.04 (−0.06, −0.04) −0.39 (−0.42, −0.37)
2016 −0.03 (−0.05, −0.02) −0.15 (−0.20, −0.10)
2017 −0.09 (−0.12, −0.07) −0.33 (−0.40, −0.29)
Seasonal parameters
 Amplitude
 Annual 0.11 (0.04, 0.17) 0.31 (0.19, 0.36)
 Semi-annual 0.14 (0.07, 0.18) 0.08 (0.03, 0.11)
Phase (months)
 Annual 2.57 (1.76, 5.90) 2.40 (1.90, 5.63)
 Semi-annual 2.83 (1.19, 5.81) 1.76 (0.73, 4.64)
Spatio-temporal parameters
 Spatial variance 1.42 (1.06, 1.81) 1.27 (0.97, 1.66)
 Temporal variance 18.15 (12.21, 26.06) 18.61 (12.44, 27.06)
 Temporal correlation 0.94 (0.90, 0.98) 0.98 (0.95, 0.99)
 Dispersion 6.84 (6.61, 7.09) 7.95 (7.68, 8.24)
a

Statistically important effect.

b

Versus 2013.

c

Coverage was modeled on the scale of 0 to 1, therefore one unit increase in coverage corresponds to a 100% increase which implies a shift of the current by 100%.