Publications

Total: 139
Gridded Population Maps Informed by Different Built Settlement Products
Data 2018, 3, 33 .
Author(s): Reed, Fennis J. Gaughan, Andrea E. Stevens, Forrest R. Yetman, Greg. Sorichetta, Alessandro. Tatem, Andrew J
Type: method. Year: 2018
DOI: 10.5258/SOTON/WP00643.

Abstract: The spatial distribution of humans on the earth is critical knowledge that informs many disciplines and is available in a spatially explicit manner through gridded population techniques. While many approaches exist to produce specialized gridded population maps, little has been done to explore how remotely sensed, built-area datasets might be used to dasymetrically constrain these estimates. This study presents the effectiveness of three different high-resolution built area datasets for producing gridded population estimates through the dasymetric disaggregation of census counts in Haiti, Malawi, Madagascar, Nepal, Rwanda, and Thailand. Modeling techniques include a binary dasymetric redistribution, a random forest with a dasymetric component, and a hybrid of the previous two. The relative merits of these approaches and the data are discussed with regards to studying human populations and related spatially explicit phenomena. Results showed that the accuracy of random forest and hybrid models was comparable in five of six countries
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Gridded birth and pregnancy datasets for Africa, Latin America and the Caribbean
Scientific Data volume 5, Article number: 180090 (2018).
Author(s): W.H.M. James, N. Tejedor-Garavito, S.E. Hanspal, A. Campbell-Sutton, G.M. Hornby, C. Pezzulo, K. Nilsen, A. Sorichetta, C.W. Ruktanonchai, A. Carioli, D. Kerr, Z. Matthews & A.J. Tatem
Type: method. Year: 2018
DOI: 10.1038/sdata.2018.90.

Abstract: nderstanding the fine scale spatial distribution of births and pregnancies is crucial for informing planning decisions related to public health. This is especially important in lower income countries where infectious disease is a major concern for pregnant women and new-borns, as highlighted by the recent Zika virus epidemic. Despite this, the spatial detail of basic data on the numbers and distribution of births and pregnancies is often of a coarse resolution and difficult to obtain, with no co-ordination between countries and organisations to create one consistent set of subnational estimates. To begin to address this issue, under the framework of the WorldPop program, an open access archive of high resolution gridded birth and pregnancy distribution datasets for all African, Latin America and Caribbean countries has been created. Datasets were produced using the most recent and finest level census and official population estimate data available and are at a resolution of 30 arc seconds (approximately 1 km at the equator). All products are available through WorldPop
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Temporal trends in spatial inequalities of maternal and newborn health services among four east African countries, 1999–2015
BMC Public Health 2018 18:1339 .
Author(s): Corrine W. Ruktanonchai, Kristine Nilsen, Victor A. Alegana, Claudio Bosco, Rogers Ayiko, Andrew C. Seven Kajeguka, Zöe Matthews and Andrew J. Tatem.
Type: method. Year: 2018
DOI: 10.1186/s12889-018-6241-8.

Abstract: Sub-Saharan Africa continues to account for the highest regional maternal mortality ratio (MMR) in the world, at just under 550 maternal deaths per 100,000 live births in 2015, compared to a global rate of 216 deaths. Spatial inequalities in access to life-saving maternal and newborn health (MNH) services persist within sub-Saharan Africa, however, with varied improvement over the past two decades. While previous research within the East African Community (EAC) region has examined utilisation of MNH care as an emergent property of geographic accessibility, no research has examined how these spatial inequalities have evolved over time at similar spatial scales.
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National and sub-national variation in patterns of febrile case management in sub-Saharan Africa
Nature Communications volume 9, Article number: 4994.
Author(s): Victor A. Alegana, Joseph Maina, Paul O. Ouma, Peter M. Macharia, Jim Wright, Peter M. Atkinson, Emelda A. Okiro, Robert W. Snow & Andrew J. Tatem.
Type: method. Year: 2018
DOI: 10.1038/s41467-018-07536-9.

Abstract: Given national healthcare coverage gaps, understanding treatment-seeking behaviour for fever is crucial for the management of childhood illness and to reduce deaths. Here, we conduct a modelling study triangulating household survey data for fever in children under the age of five years with georeferenced public health facility databases (n = 86,442 facilities) in 29 countries across sub-Saharan Africa, to estimate the probability of seeking treatment for fever at public facilities. A Bayesian item response theory framework is used to estimate this probability based on reported fever episodes, treatment choice, residence, and estimated travel-time to the nearest public-sector health facility. Findings show inter- and intra-country variation, with the likelihood of seeking treatment for fever less than 50% in 16 countries. Results highlight the need to invest in public healthcare and related databases. The variation in public sector use illustrates the need to include such modelling in future infectious disease burden estimation.
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