Table 3 Description of dependent, independent, effect modification, and control variables used in effect modification analysis
From: Do socio-demographic factors modify the effect of weather on malaria in Kanungu District, Uganda?
Variable (units) | Description |
|---|---|
Dependent (outcome) variable | |
 Weekly malaria cases | Total case count per 7 day period |
Independent (exposure) variable | |
 Mean weekly temperature ( ̊C) with a 12–13 weekly average temperature lag | Binary: lower (cooler) quartiles 1–3 (referent); top (hottest) quartile |
Effect modification variables | |
 Ethnicity | Binary: Bakiga and other (referent); Batwa |
 Sex | Binary: male (referent); female |
 Age | Categorical: < 5 years (referent); 6-12 years; 13-18 years; 19-55 years; > 55 years |
Confounding (control) variables | |
 Season | Binary: dry (referent); wet Modelled with an interaction term with the independent variable |
 Year | Categorical: 2011 (referent), 2012, 2013, 2014 |