www.worldpop.org Uses of small area demographic data Planning - - PowerPoint PPT Presentation

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Jan 05, 2023 209 likes •392 views

Population counts Geospatial data integration Population characteristics Open data, open peer- reviewed methods Population mobility Mapping small area demographics of low and middle income countries Key application areas in epidemiology,

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www.worldpop.org

Population counts Geospatial data integration Open data, open peer- reviewed methods Mapping small area demographics of low and middle income countries Key application areas in epidemiology, maternal/newborn health, childhood vaccination Population characteristics Population mobility

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Uses of small area demographic data

Planning elections
Calculating GDP
Local governance
Traffic planning
Financial services
Delivering utilities
Agricultural

subsidies

Taxation
Land use

management

Energy strategies
Health system

planning

Supply chain

management

Health metrics
Meeting SDGs
Controlling

infectious diseases

Modelling disease

spread and intervention effects

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Loveridge A. <al2g14@soton.ac.uk> Loveridge A. <al2g14@soton.ac.uk> Loveridge A. <al2g14@soton.ac.uk> Loveridge A. <al2g14@soton.ac.uk> Mapping populations Mapping key demographic groups Mapping access, use and quality of healthcare Mapping health service utilization

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Demographic data challenges

Coarse resolution Outdated Incomplete Inaccuracies, missing populations

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Mapping correlates of demographic varia iations

Buildings, schools, roads, markets, conflicts Household sizes, neighbourhood types, poverty rates

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Red = Urban Built Orange = Non-Urban Built

Population Density Vietnam Administrative Unit Level 002

> 30 People Per Ha

Demographic data

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Global Human Settlement Layer

Settlement/building mapping from satellites

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Satellite nightlights

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Red = Urban Built Orange = Non-Urban Built

Population Density Vietnam Administrative Unit Level 002

> 30 People Per Ha

Demographic data

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Population counts per 100 x 100m grid square

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www.worldpop.org Sorichetta et al (2017) Nature Sci Data; Gaughan et al (2017) Nature Sci Data

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Age structure WoCBA Fertility data Population Births Pregnancies

Source: James, W.H.M et.al. (2018). Gridded births and Pregnancy Datasets for Africa, Latin America and the Caribbean. Scientific Data 5 (18890)

Mapping pregnancies and live births

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Source: James, W.H.M et.al. (2018). Gridded births and Pregnancy Datasets for Africa, Latin America and the Caribbean. Scientific Data 5 (18890)

Mapping pregnancies and live births

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Alegana et al (2019), National and sub-national variation in patterns of febrile case management in sub-Saharan Africa, Nature Communications

Travel times to (a) Hospitals, (b) Health centres and (c) Clinics/Health posts/Dispensaries

Mapping physical access to healthcare

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Source: Wigley et al., Evaluating the Suitability of Indicators for Measuring the Variability and Geographical Accessibility of Maternal Health Services across Sub-Saharan Africa (Under review)

Figure 1 - Map (a) showing the estimated number of pregnancies in 2015 per 1km²,24 and map (b) showing travel-time to the nearest hospital

Estimating access to birthing services for pregnant women

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Mapping health service utilization and associated factors

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Ruktanonchai C.W., et al (2016). Equality in Maternal and Newborn Health: Modelling Geographic Disparities in Utilisation of Care in Five East African Countries. PLOS ONE 11 (10) Fig 4. Births adjusted probability maps representing the probability of obtaining MNH care for a given birth at the administrative II unit in Kenya, Tanzania, Uganda, Burundi and Rwanda.

Mapping health service utilization

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Further information

www.worldpop.org

@WorldPopProject

E-mail: A.J.Tatem@soton.ac.uk

@AndyTatem