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Estimating population denominators 1/23/2020 A World Free of NTDs - PowerPoint PPT Presentation

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Estimating population denominators 1/23/2020 A World Free of NTDs | | www.NTDenvision.org A World Free of NTDs | www.NTDenvision.org Challenges with denominators Outdated census data Population migration Urbanization Natural

  1. Estimating population denominators 1/23/2020 A World Free of NTDs | | www.NTDenvision.org A World Free of NTDs | www.NTDenvision.org

  2. Challenges with denominators • Outdated census data • Population migration • Urbanization • Natural disasters • Human-instigated disasters A World Free of NTDs | www.NTDenvision.org

  3. Temporal Estimation Estimate level Data resolution Data source Result component method Remote Country level Country census sensing method Non-dynamic Low resolution population Region level Aggregated public and Mobile data non-public data District level Denominator Ad-hoc census Questionnaire (pre-MDA, ITN method distribution) Facility level Dynamic High resolution population High resolution Health facility Raster datasets level (city, method village, etc.) Pre-processed remote sensing Geographic aggregation data (i.e. Worldpop) A World Free of NTDs | www.NTDenvision.org

  4. Data set examples 1/23/2020 A World Free of NTDs | www.NTDenvision.org A World Free of NTDs | www.NTDenvision.org

  5. Temporal Estimation Estimate level Data resolution Data source Result component method Remote Country level Country census sensing method Non-dynamic Low resolution population Region level Aggregated public and Mobile data non-public data District level Denominator Ad-hoc census Questionnaire (pre-MDA, ITN method distribution) Facility level Dynamic High resolution population High resolution Health facility Raster datasets level (city, method village, etc.) Pre-processed remote sensing Geographic aggregation data (i.e. Worldpop) A World Free of NTDs | www.NTDenvision.org

  6. Data set examples • Census • Aggregated public data • Aggregated non-public data • Ad-hoc census • High resolution data A World Free of NTDs | www.NTDenvision.org

  7. Estimation method examples 1/23/2020 A World Free of NTDs | www.NTDenvision.org A World Free of NTDs | www.NTDenvision.org

  8. Temporal Estimation Estimate level Data resolution Data source Result component method Remote Country level Country census sensing method Non-dynamic Low resolution population Region level Aggregated public and Mobile data non-public data District level Denominator Ad-hoc census Questionnaire (pre-MDA, ITN method distribution) Facility level Dynamic High resolution population High resolution Health facility Raster datasets level (city, method village, etc.) Pre-processed remote sensing Geographic aggregation data (i.e. Worldpop) A World Free of NTDs | www.NTDenvision.org

  9. Using remote sensing data A World Free of NTDs | www.NTDenvision.org

  10. Using mobile phone data A World Free of NTDs | www.NTDenvision.org

  11. Using questionnaire data Estimated relative regional distribution of the MSM Estimated incidence of newly population in postal code regions of Germany. diagnosed HIV in MSM per 100,000 men of the general population in 2007 in postal code regions of Germany. A World Free of NTDs | www.NTDenvision.org

  12. Using distance from health facilities Extent of catchment areas and distribution of population underserved by the existing primary health facility network based on three travel scenarios and a maximum travelling time of 60 minutes. ( A ) Scenario 1: Walking only; ( B ) Scenario 2: Walking and cycling; ( C ) Scenario 3: Walking and public transport. A World Free of NTDs | www.NTDenvision.org

  13. Practical examples 1/23/2020 A World Free of NTDs | www.NTDenvision.org A World Free of NTDs | www.NTDenvision.org

  14. Workflow: urban setting example 1/23/2020 A World Free of NTDs | www.NTDenvision.org A World Free of NTDs | www.NTDenvision.org

  15. Temporal Estimation Estimate level Data resolution Data source Result component method Remote Country level Country census sensing method Non-dynamic Low resolution population Region level Aggregated public and Mobile data non-public data District level Denominator Ad-hoc census Questionnaire (pre-MDA, ITN method distribution) Facility level Dynamic High resolution population High resolution Health facility Raster datasets level (city, method village, etc.) Pre-processed remote sensing Geographic aggregation data (i.e. Worldpop) A World Free of NTDs | www.NTDenvision.org

  16. A World Free of NTDs | www.NTDenvision.org

  17. Workflow: population movement setting example 1/23/2020 A World Free of NTDs | www.NTDenvision.org A World Free of NTDs | www.NTDenvision.org

  18. Temporal Estimation Estimate level Data resolution Data source Result component method Remote Country level Country census sensing method Non-dynamic Low resolution population Region level Aggregated public and Mobile data non-public data District level Denominator Ad-hoc census Questionnaire (pre-MDA, ITN method distribution) Facility level Dynamic High resolution population High resolution Health facility Raster datasets level (city, method village, etc.) Pre-processed remote sensing Geographic aggregation data (i.e. Worldpop) A World Free of NTDs | www.NTDenvision.org

  19. Workflow: natural disaster setting example 1/23/2020 A World Free of NTDs | www.NTDenvision.org

  20. Workflow: natural disaster setting example 1/23/2020 A World Free of NTDs | www.NTDenvision.org

  21. Next steps 1/23/2020 A World Free of NTDs | www.NTDenvision.org A World Free of NTDs | www.NTDenvision.org

  22. Thank you Donal Bisanzio Rebecca Flueckiger Senior Epidemiologist Operations Research Specialist International Development Group International Development Group Global Health Division Global Health Division ENVISION is an eight-year project, funded by the U.S. Agency for International Development (USAID), aimed at providing assistance to national neglected tropical disease (NTD) control programs for the control and elimination of seven targeted NTDs: lymphatic filariasis, onchocerciasis, schistosomiasis, three soil- transmitted helminths (roundworm, hookworm, and whipworm), and trachoma. ENVISION is designed to contribute to the global goal of reducing the burden of these targeted NTDs so that they are no longer a public health problem. This presentation was made possible thanks to funding from ENVISION, a global project led by RTI International in partnership with CBM International, The Carter Center, Fred Hollows Foundation, Helen Keller International, IMA World Health, Light for the World, Sightsavers, and World Vision. ENVISION is funded by the US Agency for International Development under cooperative agreement No. AID-OAA-A-11-00048. The period of performance for ENVISION is September 30, 2011 through September 30, 2019. For more information, go to www.NTDenvision.org. The views expressed in this presentation do not necessarily reflect the views of the United States Agency for International Development or the United States Government. 1/23/2020 A World Free of NTDs | www.NTDenvision.org

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