FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2040698021> ?p ?o ?g. }

• W2040698021 abstract "The Millennium Development Goals (MDGs) have prompted an expansion in approaches to deriving health metrics to measure progress toward their achievement. Accurate measurements should take into account the high degrees of spatial heterogeneity in health risks across countries, and this has prompted the development of sophisticated cartographic techniques for mapping and modeling risks. Conversion of these risks to relevant population-based metrics requires equally detailed information on the spatial distribution and attributes of the denominator populations. However, spatial information on age and sex composition over large areas is lacking, prompting many influential studies that have rigorously accounted for health risk heterogeneities to overlook the substantial demographic variations that exist subnationally and merely apply national-level adjustments. Here we outline the development of high resolution age- and sex-structured spatial population datasets for Africa in 2000-2015 built from over a million measurements from more than 20,000 subnational units, increasing input data detail from previous studies by over 400-fold. We analyze the large spatial variations seen within countries and across the continent for key MDG indicator groups, focusing on children under 5 and women of childbearing age, and find that substantial differences in health and development indicators can result through using only national level statistics, compared to accounting for subnational variation. Progress toward meeting the MDGs will be measured through national-level indicators that mask substantial inequalities and heterogeneities across nations. Cartographic approaches are providing opportunities for quantitative assessments of these inequalities and the targeting of interventions, but demographic spatial datasets to support such efforts remain reliant on coarse and outdated input data for accurately locating risk groups. We have shown here that sufficient data exist to map the distribution of key vulnerable groups, and that doing so has substantial impacts on derived metrics through accounting for spatial demographic heterogeneities that exist within nations across Africa." @default.
• W2040698021 created "2016-06-24" @default.
• W2040698021 creator A5001791698 @default.
• W2040698021 creator A5014066641 @default.
• W2040698021 creator A5022838452 @default.
• W2040698021 creator A5026395399 @default.
• W2040698021 creator A5029599428 @default.
• W2040698021 creator A5052078209 @default.
• W2040698021 creator A5058702348 @default.
• W2040698021 date "2013-07-23" @default.
• W2040698021 modified "2023-10-02" @default.
• W2040698021 title "Millennium development health metrics: where do Africa’s children and women of childbearing age live?" @default.
• W2040698021 cites W1245938035 @default.
• W2040698021 cites W1527710572 @default.
• W2040698021 cites W192231395 @default.
• W2040698021 cites W1971816555 @default.
• W2040698021 cites W1977140032 @default.
• W2040698021 cites W1977906425 @default.
• W2040698021 cites W1991096258 @default.
• W2040698021 cites W1997566108 @default.
• W2040698021 cites W2014195484 @default.
• W2040698021 cites W2014379782 @default.
• W2040698021 cites W2020117607 @default.
• W2040698021 cites W2037062802 @default.
• W2040698021 cites W2045025748 @default.
• W2040698021 cites W2051796655 @default.
• W2040698021 cites W2052458288 @default.
• W2040698021 cites W2058408136 @default.
• W2040698021 cites W2073189420 @default.
• W2040698021 cites W2077113463 @default.
• W2040698021 cites W2078605425 @default.
• W2040698021 cites W2079043100 @default.
• W2040698021 cites W2079367820 @default.
• W2040698021 cites W2082015983 @default.
• W2040698021 cites W2092932867 @default.
• W2040698021 cites W2095554063 @default.
• W2040698021 cites W2096299473 @default.
• W2040698021 cites W2107927071 @default.
• W2040698021 cites W2108789728 @default.
• W2040698021 cites W2115569288 @default.
• W2040698021 cites W2121393166 @default.
• W2040698021 cites W2126789944 @default.
• W2040698021 cites W2127982077 @default.
• W2040698021 cites W2133057125 @default.
• W2040698021 cites W2135875708 @default.
• W2040698021 cites W2136037924 @default.
• W2040698021 cites W2141294688 @default.
• W2040698021 cites W2144207524 @default.
• W2040698021 cites W2150752079 @default.
• W2040698021 cites W2152839313 @default.
• W2040698021 cites W2155831102 @default.
• W2040698021 cites W2161832510 @default.
• W2040698021 cites W2163697153 @default.
• W2040698021 cites W2170513208 @default.
• W2040698021 cites W2171449727 @default.
• W2040698021 cites W3152476009 @default.
• W2040698021 cites W4213373481 @default.
• W2040698021 doi "https://doi.org/10.1186/1478-7954-11-11" @default.
• W2040698021 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/3724578" @default.
• W2040698021 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/23875684" @default.
• W2040698021 hasPublicationYear "2013" @default.
• W2040698021 type Work @default.
• W2040698021 sameAs 2040698021 @default.
• W2040698021 citedByCount "37" @default.
• W2040698021 countsByYear W20406980212014 @default.
• W2040698021 countsByYear W20406980212015 @default.
• W2040698021 countsByYear W20406980212016 @default.
• W2040698021 countsByYear W20406980212017 @default.
• W2040698021 countsByYear W20406980212018 @default.
• W2040698021 countsByYear W20406980212019 @default.
• W2040698021 countsByYear W20406980212020 @default.
• W2040698021 countsByYear W20406980212021 @default.
• W2040698021 countsByYear W20406980212022 @default.
• W2040698021 countsByYear W20406980212023 @default.
• W2040698021 crossrefType "journal-article" @default.
• W2040698021 hasAuthorship W2040698021A5001791698 @default.
• W2040698021 hasAuthorship W2040698021A5014066641 @default.
• W2040698021 hasAuthorship W2040698021A5022838452 @default.
• W2040698021 hasAuthorship W2040698021A5026395399 @default.
• W2040698021 hasAuthorship W2040698021A5029599428 @default.
• W2040698021 hasAuthorship W2040698021A5052078209 @default.
• W2040698021 hasAuthorship W2040698021A5058702348 @default.
• W2040698021 hasBestOaLocation W20406980211 @default.
• W2040698021 hasConcept C110121322 @default.
• W2040698021 hasConcept C118552586 @default.
• W2040698021 hasConcept C121272143 @default.
• W2040698021 hasConcept C134306372 @default.
• W2040698021 hasConcept C138816342 @default.
• W2040698021 hasConcept C144024400 @default.
• W2040698021 hasConcept C148383697 @default.
• W2040698021 hasConcept C149923435 @default.
• W2040698021 hasConcept C159110408 @default.
• W2040698021 hasConcept C159620131 @default.
• W2040698021 hasConcept C162324750 @default.
• W2040698021 hasConcept C205649164 @default.
• W2040698021 hasConcept C27415008 @default.
• W2040698021 hasConcept C2778149918 @default.
• W2040698021 hasConcept C2779503283 @default.
• W2040698021 hasConcept C2908647359 @default.
• W2040698021 hasConcept C33923547 @default.

• next