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Table 2 Regression analysis outputs for three destination-specific models, which model migration as the dependent variable and destination population size and distance travelled as the independent variables

From: Quantifying cross-border movements and migrations for guiding the strategic planning of malaria control and elimination

  Population size Distance
Model 1. destination: KE Origins Effect se t p-value Effect se t p-value
TZ^ 0.32 0.01 33.23 <0.05* -0.37 0.01 -51.55 <0.05*  
ET 0.28 0.02 -2.37 <0.05* -0.16 0.01 16.36 <0.05*  
SM 0.40 0.02 5.43 <0.05* -0.15 0.01 15.95 <0.05*  
SU 0.41 0.01 6.43 <0.05* -0.09 0.03 10.89 <0.05*  
UG 0.24 0.01 -5.74 <0.05* 0.12 0.01 42.07 <0.05*  
Model 2. Destination: TZ KE^ 0.53 0.01 46.55 <0.05* -0.44 0.01 -55.07 <0.05*
MZ 0.37 0.04 -4.10 <0.05* -0.32 0.02 5.23 <0.05*  
MW 0.37 0.06 -2.48 0.01 -0.15 0.03 9.59 <0.05*  
ZA 0.23 0.06 -4.76 <0.05* -0.34 0.03 2.94 <0.05*  
DRC 0.61 0.06 1.48 0.14 -0.75 0.05 -6.38 <0.05*  
BU 0.47 0.04 -1.56 0.12 -0.52 0.02 -3.35 <0.05*  
RW 0.45 0.06 -1.36 0.17 -0.80 0.04 -9.80 <0.05*  
UG 0.40 0.06 -2.13 <0.05* -0.59 0.04 -3.78 <0.05*  
Model 3. Destination: UG TZ^ 0.40 0.01 41.44 <0.05* -0.35 0.01 -58.89 <0.05*
KE 0.99 0.33 1.79 0.07 -1.15 0.22 -3.62 <0.05*  
SU 0.43 0.54 0.05 0.96 -1.69 0.31 -4.38 <0.05*  
DRC 1.13 0.34 2.13 <0.05* -1.19 0.20 -4.18 <0.05*  
RW 0.77 0.35 1.04 0.30 -1.03 0.25 -2.70 <0.05*  
  1. ^reference category for each destination-specific regression model.
  2. *significant, based on a 5% significance level.
  3. Country codes: TZ: Tanzania, KE: Kenya, UG: Uganda, RW: Rwanda, BU: Burundi, DRC: Democratic Republic of Congo, ZA: Zambia, MW: Malawi, MZ: Mozambique, SM: Somalia, ET: Ethiopia, SU: Sudan.
  4. Effects of each independent variable, stratified by origin country, were estimated using the regression coefficients of the interaction terms (interaction between explanatory variables and dummy variables created to represent respective origin countries).
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