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 - - PowerPoint PPT Presentation

Jul 22, 2023 247 likes •482 views

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A World Free of NTDs | | www.NTDenvision.org A World Free of NTDs | www.NTDenvision.org Challenges with denominators Outdated census data Population migration Urbanization Natural

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

Estimating population denominators

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A World Free of NTDs | www.NTDenvision.org

  • Outdated census data
  • Population migration
  • Urbanization
  • Natural disasters
  • Human-instigated disasters

Challenges with denominators

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A World Free of NTDs | www.NTDenvision.org

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

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

Data set examples

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A World Free of NTDs | www.NTDenvision.org

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

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  • Census
  • Aggregated public data
  • Aggregated non-public data
  • Ad-hoc census
  • High resolution data

Data set examples

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

Estimation method examples

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A World Free of NTDs | www.NTDenvision.org

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

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Using remote sensing data

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Using mobile phone data

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Using questionnaire data

Estimated relative regional distribution of the MSM population in postal code regions of Germany. Estimated incidence of newly diagnosed HIV in MSM per 100,000 men of the general population in 2007 in postal code regions of Germany.

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A World Free of NTDs | www.NTDenvision.org

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.

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

Practical examples

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

Workflow: urban setting example

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A World Free of NTDs | www.NTDenvision.org

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

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Workflow: population movement setting example

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A World Free of NTDs | www.NTDenvision.org

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

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

Workflow: natural disaster setting example

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Workflow: natural disaster setting example

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

Next steps

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

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.

Thank you

Donal Bisanzio Senior Epidemiologist International Development Group Global Health Division Rebecca Flueckiger Operations Research Specialist International Development Group Global Health Division