Evaluation of the mortality registry in Ecuador (2001–2013) – social and geographical inequalities in completeness and quality View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Andrés Peralta, Joan Benach, Carme Borrell, Verónica Espinel-Flores, Lucinda Cash-Gibson, Bernardo L. Queiroz, Marc Marí-Dell’Olmo

ABSTRACT

BACKGROUND: Mortality registries are an essential data source for public health surveillance and for planning and evaluating public policy. Nevertheless, there are still large inequalities in the completeness and quality of mortality registries between and within countries. In Ecuador, there have been few nationwide evaluations of the mortality registry and no evaluations of inequalities between provinces. This kind of analysis is fundamental for strengthening the vital statistics system. METHODS: Ecological study assessing the completeness, quality and internal consistency of mortality data in the provinces of Ecuador, using 13 years of mortality data (2001-2013). Completeness was assessed using three types of death distribution methods (DDMs), quality by estimating the percentages of garbage codes and deaths with unspecified age or sex in the registered deaths, and internal consistency by estimating the percentage of deaths with reported causes of deaths considered impossible in some age-sex combinations. Finally, we propose a classification of the mortality registry in the studied areas based on completeness and quality. RESULTS: Completeness estimates (mean of the three methods used) in the provinces ranged from 21 to 87% in women and from 35 to 89% in men. The percentage of garbage codes in the provinces ranged from 21 to 56% in women and from 25 to 52% in men. Garbage coding was higher in women and in older age groups. The percentage of deaths with unspecified age or sex, and the percentage of deaths with reported causes of deaths considered impossible in some age-sex combinations was low in all the studied areas. The mortality registry could only be classified as acceptable in one area for men and one area for women. CONCLUSIONS: We found substantial inequalities by sex, geographical areas and age in the completeness and quality of the mortality registry of Ecuador. The findings of this study will be helpful to direct measures to improve Ecuador's vital statistics system and to generate strategies to reduce bias when using mortality data to analyse health inequalities in the country. More... »

PAGES

3

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s12963-019-0183-y

DOI

http://dx.doi.org/10.1186/s12963-019-0183-y

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1113050209

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30922340


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1117", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Public Health and Health Services", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Pompeu Fabra University", 
          "id": "https://www.grid.ac/institutes/grid.5612.0", 
          "name": [
            "Ag\u00e8ncia de Salut P\u00fablica de Barcelona, Pla\u00e7a Lesseps 1, 08023, Barcelona, Catalonia, Spain", 
            "Health Inequalities Research Group, Employment Conditions Knowledge Network (GREDS-EMCONET), Department of Political and Social Sciences, Universitat Pompeu Fabra, Ramon Trias Fargas, 25-27, 08005, Barcelona, Spain", 
            "Johns Hopkins University, Pompeu Fabra University Public Policy Center, Barcelona, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Peralta", 
        "givenName": "Andr\u00e9s", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Autonomous University of Madrid", 
          "id": "https://www.grid.ac/institutes/grid.5515.4", 
          "name": [
            "Health Inequalities Research Group, Employment Conditions Knowledge Network (GREDS-EMCONET), Department of Political and Social Sciences, Universitat Pompeu Fabra, Ramon Trias Fargas, 25-27, 08005, Barcelona, Spain", 
            "Johns Hopkins University, Pompeu Fabra University Public Policy Center, Barcelona, Spain", 
            "Transdisciplinary Research Group on Socioecological Transitions (GinTRANS2), Universidad Aut\u00f3noma Madrid, 28049, Madrid, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Benach", 
        "givenName": "Joan", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Pompeu Fabra University", 
          "id": "https://www.grid.ac/institutes/grid.5612.0", 
          "name": [
            "Ag\u00e8ncia de Salut P\u00fablica de Barcelona, Pla\u00e7a Lesseps 1, 08023, Barcelona, Catalonia, Spain", 
            "CIBER Epidemiolog\u00eda y Salud P\u00fablica (CIBERESP), Madrid, Spain", 
            "Institut d\u2019Investigaci\u00f3 Biom\u00e8dica (IIB Sant Pau), Barcelona, Spain", 
            "Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Catalonia, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Borrell", 
        "givenName": "Carme", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Pompeu Fabra University", 
          "id": "https://www.grid.ac/institutes/grid.5612.0", 
          "name": [
            "Ag\u00e8ncia de Salut P\u00fablica de Barcelona, Pla\u00e7a Lesseps 1, 08023, Barcelona, Catalonia, Spain", 
            "Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Catalonia, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Espinel-Flores", 
        "givenName": "Ver\u00f3nica", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Pompeu Fabra University", 
          "id": "https://www.grid.ac/institutes/grid.5612.0", 
          "name": [
            "Health Inequalities Research Group, Employment Conditions Knowledge Network (GREDS-EMCONET), Department of Political and Social Sciences, Universitat Pompeu Fabra, Ramon Trias Fargas, 25-27, 08005, Barcelona, Spain", 
            "Johns Hopkins University, Pompeu Fabra University Public Policy Center, Barcelona, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Cash-Gibson", 
        "givenName": "Lucinda", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Department of Demography and Cedeplar, Faculdade de Ci\u00eancias Econ\u00f4micas, FACE/UFMG, Campus Pampulha, Av. Ant\u00f4nio Carlos, 6627, Pampulha, CEP 31270-901, Belo Horizonte, MG, Brazil"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Queiroz", 
        "givenName": "Bernardo L.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Pompeu Fabra University", 
          "id": "https://www.grid.ac/institutes/grid.5612.0", 
          "name": [
            "Ag\u00e8ncia de Salut P\u00fablica de Barcelona, Pla\u00e7a Lesseps 1, 08023, Barcelona, Catalonia, Spain", 
            "CIBER Epidemiolog\u00eda y Salud P\u00fablica (CIBERESP), Madrid, Spain", 
            "Institut d\u2019Investigaci\u00f3 Biom\u00e8dica (IIB Sant Pau), Barcelona, Spain", 
            "Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Catalonia, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mar\u00ed-Dell\u2019Olmo", 
        "givenName": "Marc", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/s0140-6736(12)61899-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000419522"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(16)31012-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003440871"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(16)31012-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003440871"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(15)60171-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007286249"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(15)60171-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007286249"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3346/jkms.2016.31.s2.s121", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009834350"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1478-7954-12-14", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010758076", 
          "https://doi.org/10.1186/1478-7954-12-14"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(12)61728-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013705877"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1590/0102-311x00131113", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016858812"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(07)61307-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023046407"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3109/00016349709024602", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023649121"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/pirs.12251", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026227117"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4067/s0034-98872006000900016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026483561"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(15)60173-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035039090"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1590/s0102-30982010000100002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038811060"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(07)61308-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047232922"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pmed.1000262", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048411923"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1478-7954-8-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049524381", 
          "https://doi.org/10.1186/1478-7954-8-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(15)60172-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050023496"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1378/chest.119.6.1691", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053605415"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1378/chest.119.6.1691", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053605415"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1590/s1020-49892012000400002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068109478"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2105/ajph.2004.040063", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068842512"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077030736", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1590/1980-5497201700050004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1086136023"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(17)32152-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091782841"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(17)32152-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091782841"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0197047", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1104302124"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-12", 
    "datePublishedReg": "2019-12-01", 
    "description": "BACKGROUND: Mortality registries are an essential data source for public health surveillance and for planning and evaluating public policy. Nevertheless, there are still large inequalities in the completeness and quality of mortality registries between and within countries. In Ecuador, there have been few nationwide evaluations of the mortality registry and no evaluations of inequalities between provinces. This kind of analysis is fundamental for strengthening the vital statistics system.\nMETHODS: Ecological study assessing the completeness, quality and internal consistency of mortality data in the provinces of Ecuador, using 13\u2009years of mortality data (2001-2013). Completeness was assessed using three types of death distribution methods (DDMs), quality by estimating the percentages of garbage codes and deaths with unspecified age or sex in the registered deaths, and internal consistency by estimating the percentage of deaths with reported causes of deaths considered impossible in some age-sex combinations. Finally, we propose a classification of the mortality registry in the studied areas based on completeness and quality.\nRESULTS: Completeness estimates (mean of the three methods used) in the provinces ranged from 21 to 87% in women and from 35 to 89% in men. The percentage of garbage codes in the provinces ranged from 21 to 56% in women and from 25 to 52% in men. Garbage coding was higher in women and in older age groups. The percentage of deaths with unspecified age or sex, and the percentage of deaths with reported causes of deaths considered impossible in some age-sex combinations was low in all the studied areas. The mortality registry could only be classified as acceptable in one area for men and one area for women.\nCONCLUSIONS: We found substantial inequalities by sex, geographical areas and age in the completeness and quality of the mortality registry of Ecuador. The findings of this study will be helpful to direct measures to improve Ecuador's vital statistics system and to generate strategies to reduce bias when using mortality data to analyse health inequalities in the country.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/s12963-019-0183-y", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1032338", 
        "issn": [
          "1478-7954"
        ], 
        "name": "Population Health Metrics", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "17"
      }
    ], 
    "name": "Evaluation of the mortality registry in Ecuador (2001\u20132013) \u2013 social and geographical inequalities in completeness and quality", 
    "pagination": "3", 
    "productId": [
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s12963-019-0183-y"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "0d7f13474ae040b6fcba9235147c545ceedf64d2ebd537a92ffdc5c2ee21e2e1"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1113050209"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101178411"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30922340"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s12963-019-0183-y", 
      "https://app.dimensions.ai/details/publication/pub.1113050209"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-15T08:52", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000374_0000000374/records_119741_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1186%2Fs12963-019-0183-y"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/s12963-019-0183-y'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s12963-019-0183-y'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s12963-019-0183-y'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s12963-019-0183-y'


 

This table displays all metadata directly associated to this object as RDF triples.

188 TRIPLES      21 PREDICATES      53 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s12963-019-0183-y schema:about anzsrc-for:11
2 anzsrc-for:1117
3 schema:author Na19969c5e36e4f968254d2126653de4a
4 schema:citation sg:pub.10.1186/1478-7954-12-14
5 sg:pub.10.1186/1478-7954-8-9
6 https://app.dimensions.ai/details/publication/pub.1077030736
7 https://doi.org/10.1016/s0140-6736(07)61307-5
8 https://doi.org/10.1016/s0140-6736(07)61308-7
9 https://doi.org/10.1016/s0140-6736(12)61728-0
10 https://doi.org/10.1016/s0140-6736(12)61899-6
11 https://doi.org/10.1016/s0140-6736(15)60171-4
12 https://doi.org/10.1016/s0140-6736(15)60172-6
13 https://doi.org/10.1016/s0140-6736(15)60173-8
14 https://doi.org/10.1016/s0140-6736(16)31012-1
15 https://doi.org/10.1016/s0140-6736(17)32152-9
16 https://doi.org/10.1111/pirs.12251
17 https://doi.org/10.1371/journal.pmed.1000262
18 https://doi.org/10.1371/journal.pone.0197047
19 https://doi.org/10.1378/chest.119.6.1691
20 https://doi.org/10.1590/0102-311x00131113
21 https://doi.org/10.1590/1980-5497201700050004
22 https://doi.org/10.1590/s0102-30982010000100002
23 https://doi.org/10.1590/s1020-49892012000400002
24 https://doi.org/10.2105/ajph.2004.040063
25 https://doi.org/10.3109/00016349709024602
26 https://doi.org/10.3346/jkms.2016.31.s2.s121
27 https://doi.org/10.4067/s0034-98872006000900016
28 schema:datePublished 2019-12
29 schema:datePublishedReg 2019-12-01
30 schema:description BACKGROUND: Mortality registries are an essential data source for public health surveillance and for planning and evaluating public policy. Nevertheless, there are still large inequalities in the completeness and quality of mortality registries between and within countries. In Ecuador, there have been few nationwide evaluations of the mortality registry and no evaluations of inequalities between provinces. This kind of analysis is fundamental for strengthening the vital statistics system. METHODS: Ecological study assessing the completeness, quality and internal consistency of mortality data in the provinces of Ecuador, using 13 years of mortality data (2001-2013). Completeness was assessed using three types of death distribution methods (DDMs), quality by estimating the percentages of garbage codes and deaths with unspecified age or sex in the registered deaths, and internal consistency by estimating the percentage of deaths with reported causes of deaths considered impossible in some age-sex combinations. Finally, we propose a classification of the mortality registry in the studied areas based on completeness and quality. RESULTS: Completeness estimates (mean of the three methods used) in the provinces ranged from 21 to 87% in women and from 35 to 89% in men. The percentage of garbage codes in the provinces ranged from 21 to 56% in women and from 25 to 52% in men. Garbage coding was higher in women and in older age groups. The percentage of deaths with unspecified age or sex, and the percentage of deaths with reported causes of deaths considered impossible in some age-sex combinations was low in all the studied areas. The mortality registry could only be classified as acceptable in one area for men and one area for women. CONCLUSIONS: We found substantial inequalities by sex, geographical areas and age in the completeness and quality of the mortality registry of Ecuador. The findings of this study will be helpful to direct measures to improve Ecuador's vital statistics system and to generate strategies to reduce bias when using mortality data to analyse health inequalities in the country.
31 schema:genre research_article
32 schema:inLanguage en
33 schema:isAccessibleForFree true
34 schema:isPartOf N9391755473cc4fdd8ff3f91a63a55797
35 Nd3e48ce61bff4bbda733920038a2bbf2
36 sg:journal.1032338
37 schema:name Evaluation of the mortality registry in Ecuador (2001–2013) – social and geographical inequalities in completeness and quality
38 schema:pagination 3
39 schema:productId N746783d99ad24d459c099c868701d5bb
40 N9eee6f6cfe9b4679804bc2bfbba68f2f
41 Na8d55d464e7140f78abd8cc860ea9914
42 Nc97dc2bf28a74ff89620ccd33dc444fa
43 Ndeadfb67df434f70a90f2cf9ee8c0b04
44 schema:sameAs https://app.dimensions.ai/details/publication/pub.1113050209
45 https://doi.org/10.1186/s12963-019-0183-y
46 schema:sdDatePublished 2019-04-15T08:52
47 schema:sdLicense https://scigraph.springernature.com/explorer/license/
48 schema:sdPublisher Nb981b6afb02e485ba98c626429d54843
49 schema:url https://link.springer.com/10.1186%2Fs12963-019-0183-y
50 sgo:license sg:explorer/license/
51 sgo:sdDataset articles
52 rdf:type schema:ScholarlyArticle
53 N083f591fed9046a08a05ab4925759298 schema:affiliation Nd068c73abeda462da12a50acbffc2c3d
54 schema:familyName Queiroz
55 schema:givenName Bernardo L.
56 rdf:type schema:Person
57 N13c5cb2612a04ef8b1694a784f7c1d7c schema:affiliation https://www.grid.ac/institutes/grid.5612.0
58 schema:familyName Borrell
59 schema:givenName Carme
60 rdf:type schema:Person
61 N151676cd14be44db95b848deebd18b92 schema:affiliation https://www.grid.ac/institutes/grid.5612.0
62 schema:familyName Cash-Gibson
63 schema:givenName Lucinda
64 rdf:type schema:Person
65 N40257d83d52146feac143f7181b52333 rdf:first Ne29ad81f0bff4c9fa425e71fef57f7c4
66 rdf:rest rdf:nil
67 N4dce1b29b4c643cbb04f676ee4ae1912 schema:affiliation https://www.grid.ac/institutes/grid.5515.4
68 schema:familyName Benach
69 schema:givenName Joan
70 rdf:type schema:Person
71 N6699e1c674334b3badaf9f825f02f064 rdf:first Nb70ebbfad07f41e291f71cd69f6a4c80
72 rdf:rest Nb7e54ff009cf4602b9d65e57cf9acf48
73 N746783d99ad24d459c099c868701d5bb schema:name doi
74 schema:value 10.1186/s12963-019-0183-y
75 rdf:type schema:PropertyValue
76 N8c63ed8872b94a838e07052f5027c672 rdf:first N083f591fed9046a08a05ab4925759298
77 rdf:rest N40257d83d52146feac143f7181b52333
78 N9391755473cc4fdd8ff3f91a63a55797 schema:volumeNumber 17
79 rdf:type schema:PublicationVolume
80 N9597a038f48248a391a414481f3e125c rdf:first N4dce1b29b4c643cbb04f676ee4ae1912
81 rdf:rest N9fc241b73a7b4c9ab08bb3895a326e3a
82 N9eee6f6cfe9b4679804bc2bfbba68f2f schema:name readcube_id
83 schema:value 0d7f13474ae040b6fcba9235147c545ceedf64d2ebd537a92ffdc5c2ee21e2e1
84 rdf:type schema:PropertyValue
85 N9fc241b73a7b4c9ab08bb3895a326e3a rdf:first N13c5cb2612a04ef8b1694a784f7c1d7c
86 rdf:rest N6699e1c674334b3badaf9f825f02f064
87 Na19969c5e36e4f968254d2126653de4a rdf:first Nae134bc7bbfa44e3b25fa74733740ca5
88 rdf:rest N9597a038f48248a391a414481f3e125c
89 Na8d55d464e7140f78abd8cc860ea9914 schema:name pubmed_id
90 schema:value 30922340
91 rdf:type schema:PropertyValue
92 Nae134bc7bbfa44e3b25fa74733740ca5 schema:affiliation https://www.grid.ac/institutes/grid.5612.0
93 schema:familyName Peralta
94 schema:givenName Andrés
95 rdf:type schema:Person
96 Nb70ebbfad07f41e291f71cd69f6a4c80 schema:affiliation https://www.grid.ac/institutes/grid.5612.0
97 schema:familyName Espinel-Flores
98 schema:givenName Verónica
99 rdf:type schema:Person
100 Nb7e54ff009cf4602b9d65e57cf9acf48 rdf:first N151676cd14be44db95b848deebd18b92
101 rdf:rest N8c63ed8872b94a838e07052f5027c672
102 Nb981b6afb02e485ba98c626429d54843 schema:name Springer Nature - SN SciGraph project
103 rdf:type schema:Organization
104 Nc97dc2bf28a74ff89620ccd33dc444fa schema:name nlm_unique_id
105 schema:value 101178411
106 rdf:type schema:PropertyValue
107 Nd068c73abeda462da12a50acbffc2c3d schema:name Department of Demography and Cedeplar, Faculdade de Ciências Econômicas, FACE/UFMG, Campus Pampulha, Av. Antônio Carlos, 6627, Pampulha, CEP 31270-901, Belo Horizonte, MG, Brazil
108 rdf:type schema:Organization
109 Nd3e48ce61bff4bbda733920038a2bbf2 schema:issueNumber 1
110 rdf:type schema:PublicationIssue
111 Ndeadfb67df434f70a90f2cf9ee8c0b04 schema:name dimensions_id
112 schema:value pub.1113050209
113 rdf:type schema:PropertyValue
114 Ne29ad81f0bff4c9fa425e71fef57f7c4 schema:affiliation https://www.grid.ac/institutes/grid.5612.0
115 schema:familyName Marí-Dell’Olmo
116 schema:givenName Marc
117 rdf:type schema:Person
118 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
119 schema:name Medical and Health Sciences
120 rdf:type schema:DefinedTerm
121 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
122 schema:name Public Health and Health Services
123 rdf:type schema:DefinedTerm
124 sg:journal.1032338 schema:issn 1478-7954
125 schema:name Population Health Metrics
126 rdf:type schema:Periodical
127 sg:pub.10.1186/1478-7954-12-14 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010758076
128 https://doi.org/10.1186/1478-7954-12-14
129 rdf:type schema:CreativeWork
130 sg:pub.10.1186/1478-7954-8-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049524381
131 https://doi.org/10.1186/1478-7954-8-9
132 rdf:type schema:CreativeWork
133 https://app.dimensions.ai/details/publication/pub.1077030736 schema:CreativeWork
134 https://doi.org/10.1016/s0140-6736(07)61307-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023046407
135 rdf:type schema:CreativeWork
136 https://doi.org/10.1016/s0140-6736(07)61308-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047232922
137 rdf:type schema:CreativeWork
138 https://doi.org/10.1016/s0140-6736(12)61728-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013705877
139 rdf:type schema:CreativeWork
140 https://doi.org/10.1016/s0140-6736(12)61899-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000419522
141 rdf:type schema:CreativeWork
142 https://doi.org/10.1016/s0140-6736(15)60171-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007286249
143 rdf:type schema:CreativeWork
144 https://doi.org/10.1016/s0140-6736(15)60172-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050023496
145 rdf:type schema:CreativeWork
146 https://doi.org/10.1016/s0140-6736(15)60173-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035039090
147 rdf:type schema:CreativeWork
148 https://doi.org/10.1016/s0140-6736(16)31012-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003440871
149 rdf:type schema:CreativeWork
150 https://doi.org/10.1016/s0140-6736(17)32152-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091782841
151 rdf:type schema:CreativeWork
152 https://doi.org/10.1111/pirs.12251 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026227117
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1371/journal.pmed.1000262 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048411923
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1371/journal.pone.0197047 schema:sameAs https://app.dimensions.ai/details/publication/pub.1104302124
157 rdf:type schema:CreativeWork
158 https://doi.org/10.1378/chest.119.6.1691 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053605415
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1590/0102-311x00131113 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016858812
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1590/1980-5497201700050004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1086136023
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1590/s0102-30982010000100002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038811060
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1590/s1020-49892012000400002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068109478
167 rdf:type schema:CreativeWork
168 https://doi.org/10.2105/ajph.2004.040063 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068842512
169 rdf:type schema:CreativeWork
170 https://doi.org/10.3109/00016349709024602 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023649121
171 rdf:type schema:CreativeWork
172 https://doi.org/10.3346/jkms.2016.31.s2.s121 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009834350
173 rdf:type schema:CreativeWork
174 https://doi.org/10.4067/s0034-98872006000900016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026483561
175 rdf:type schema:CreativeWork
176 https://www.grid.ac/institutes/grid.5515.4 schema:alternateName Autonomous University of Madrid
177 schema:name Health Inequalities Research Group, Employment Conditions Knowledge Network (GREDS-EMCONET), Department of Political and Social Sciences, Universitat Pompeu Fabra, Ramon Trias Fargas, 25-27, 08005, Barcelona, Spain
178 Johns Hopkins University, Pompeu Fabra University Public Policy Center, Barcelona, Spain
179 Transdisciplinary Research Group on Socioecological Transitions (GinTRANS2), Universidad Autónoma Madrid, 28049, Madrid, Spain
180 rdf:type schema:Organization
181 https://www.grid.ac/institutes/grid.5612.0 schema:alternateName Pompeu Fabra University
182 schema:name Agència de Salut Pública de Barcelona, Plaça Lesseps 1, 08023, Barcelona, Catalonia, Spain
183 CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
184 Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Catalonia, Spain
185 Health Inequalities Research Group, Employment Conditions Knowledge Network (GREDS-EMCONET), Department of Political and Social Sciences, Universitat Pompeu Fabra, Ramon Trias Fargas, 25-27, 08005, Barcelona, Spain
186 Institut d’Investigació Biomèdica (IIB Sant Pau), Barcelona, Spain
187 Johns Hopkins University, Pompeu Fabra University Public Policy Center, Barcelona, Spain
188 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...