Additional file 2 of Simplified binomial estimation of human malaria transmission exposure distributions based on hard classification of where and when mosquitoes are caught: statistical applications with off-the-shelf tools

Additional file 2: Dataset S1. An Excel® spreadsheet template for calculating individual-level estimates for the proportion of exposure of bites by Anopheles gambiae (s.l.) that would occur indoors or while asleep in the absence of any protective interventions, such as window screens or bed nets, in the Tanzanian city of Dar es Salaam [20], as illustrated in Additional file 1: Poster S1. This example is populated with an anonymized sample of questionnaire data describing the times residents reported having gone indoors for the evening, gone to sleep for the night, woke up in the morning and left the house in the morning, as well as published patterns of vector biting activity as measured by human landing catch in parts of Dar es Salaam with vector densities that were high enough to measure [20].