Table 1.
Study design and data collection including purpose of each dataset.
Method | Areas (number of villages) | Sampling design | Data collection period | Interval between village-level campaign and coverage survey | Purpose |
---|---|---|---|---|---|
Post-vaccination transects | Serengeti (85) | 1 transect in every sub-village (357 total) in all villages | May–October 2015 | 2–3 h | Coverage estimates at village and district level. Data used for simulations to explore how the number of transects/village affect precision of district-level estimates |
Southeast Tanzania and Pemba (2,070) | 1 transect in 2 sub-villages (4,140 total) in every village/district | November 2014–January 2015 | 2–3 h | Setup and implementation costs | |
School-based surveys | Serengeti (4) | 100 pupils/school in 4 schools/district (333 pupils) | July 2015 | 1 month | Coverage estimates at district level. Precision of estimates compared with census data and simulation experiments. |
Southeast Tanzania and Pemba (115) | 100 pupils/school in 6 schools/district (8,254 pupils) | November 2014 and February 2015 | 1–2 months | Setup and implementation costs | |
Household survey | Southeast Tanzania and Pemba (160) | 30 households/village in 6 villages/district (4,488 households) | July–August 2011 | 2–6 months | Setup and implementation costs. Data used to parameterize simulations for settings with high: human dog ratios to explore precision of household surveys |
Complete human and dog census | Serengeti (88) | All households in district (35,867) | From 2008 to 2015 | Vaccination campaigns ~May–July each year. Census at different times of year for each village | Census does not provide a point estimate of coverage relative to a specific campaign. Data used for simulation experiment to determine how sampling (e.g., household and school-based surveys) affects precision of coverage estimates |