Additional file 1 of Making data map-worthy—enhancing routine malaria data to support surveillance and mapping of Plasmodium falciparum anti-malarial resistance in a pre-elimination sub-Saharan African setting: a molecular and spatiotemporal epidemiology study
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- Kagoro, Frank M.; Allen, Elizabeth; Mabuza, Aaron; Workman, Lesley; Magagula, Ray; Kok, Gerdalize; Davies, Craig; Malatje, Gillian; Guérin, Philippe J.; Dhorda, Mehul; Maude, Richard J.; Raman, Jaishree; Barnes, Karen I.
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Additional file 1: Figure S1. Data flow and linkage for notified malaria cases and case investigation reports on drug adherence and response. Figure S2. GPS coordinates’ coverage trend over the two-year study period (2018–2020). Figure S3. Accuracy trend of malaria case residential coordinates collected over the two-year study period (2018–2020). Figure S4. Percentage of mRDTs barcoded over the two-year study period (2018–2020). Figure S5. Barcode accuracy trend over the two-year study period (2018–2020). Figure S6. Linkage of the patients’ and antimalarial resistance data over the two-year study period (2018–2020). Figure S7. Three different types of shapefiles evaluated for the study area. Tool S1. GPS tools for training malaria case investigators. Tool S1A. Training guide for trainers. Tool S1B. Standard operating procedures for eTrex 10 GPS device (adapted from Health Geolab Collaborative, 2018).