Time series analysis of demographic and temporal trends of tuberculosis in Singapore View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2014-12

AUTHORS

Win Wah, Sourav Das, Arul Earnest, Leo Kang Yang Lim, Cynthia Bin Eng Chee, Alex Richard Cook, Yee Tang Wang, Khin Mar Kyi Win, Marcus Eng Hock Ong, Li Yang Hsu

ABSTRACT

BACKGROUND: Singapore is an intermediate tuberculosis (TB) incidence country, with a recent rise in TB incidence from 2008, after a fall in incidence since 1998. This study identified population characteristics that were associated with the recent increase in TB cases, and built a predictive model of TB risk in Singapore. METHODS: Retrospective time series analysis was used to study TB notification data collected from 1995 to 2011 from the Singapore Tuberculosis Elimination Program (STEP) registry. A predictive model was developed based on the data collected from 1995 to 2010 and validated using the data collected in 2011. RESULTS: There was a significant difference in demographic characteristics between resident and non-resident TB cases. TB risk was higher in non-residents than in residents throughout the period. We found no significant association between demographic and macro-economic factors and annual incidence of TB with or without adjusting for the population-at-risk. Despite growing non-resident population, there was a significant decrease in the non-resident TB risk (p < 0.0001). However, there was no evidence of trend in the resident TB risk over this time period, though differences between different demographic groups were apparent with ethnic minorities experiencing higher incidence rates. CONCLUSION: The study found that despite an increasing size of non-resident population, TB risk among non-residents was decreasing at a rate of about 3% per year. There was an apparent seasonality in the TB reporting. More... »

PAGES

1121

References to SciGraph publications

  • 2000-05. A statistical analysis of the seasonality in pulmonary tuberculosis in EUROPEAN JOURNAL OF EPIDEMIOLOGY
  • 2011-03-15. Performance of Univariate Forecasting on Seasonal Diseases: The Case of Tuberculosis in SOFTWARE TOOLS AND ALGORITHMS FOR BIOLOGICAL SYSTEMS
  • 2011. Springer Texts in Statistics in NONE
  • 1966. Cancer Incidence in Five Continents in NONE
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1186/1471-2458-14-1121

    DOI

    http://dx.doi.org/10.1186/1471-2458-14-1121

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1007570031

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/25359711


    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"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Adolescent", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Adult", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Aged", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Aged, 80 and over", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Demography", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Emigrants and Immigrants", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Forecasting", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Humans", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Incidence", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Middle Aged", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Models, Theoretical", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Population Groups", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Retrospective Studies", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Singapore", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Socioeconomic Factors", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Time Factors", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Tuberculosis", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Young Adult", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "name": [
                "Centre for Infectious Disease Epidemiology & Research, Saw Swee Hock School of Public Health, National University of Singapore and NUHS, Singapore, Singapore"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Wah", 
            "givenName": "Win", 
            "id": "sg:person.0676375414.59", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0676375414.59"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "Centre for Infectious Disease Epidemiology & Research, Saw Swee Hock School of Public Health, National University of Singapore and NUHS, Singapore, Singapore"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Das", 
            "givenName": "Sourav", 
            "id": "sg:person.01365014506.85", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01365014506.85"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Duke NUS Graduate Medical School", 
              "id": "https://www.grid.ac/institutes/grid.428397.3", 
              "name": [
                "Centre for Quantitative Medicine, Duke NUS Graduate Medical School, Singapore, Singapore"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Earnest", 
            "givenName": "Arul", 
            "id": "sg:person.0665201036.53", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0665201036.53"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Tan Tock Seng Hospital", 
              "id": "https://www.grid.ac/institutes/grid.240988.f", 
              "name": [
                "Singapore Tuberculosis Elimination Programme, Tan Tock Seng Hospital, Novena, Singapore"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Lim", 
            "givenName": "Leo Kang Yang", 
            "id": "sg:person.010163735732.50", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010163735732.50"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Tan Tock Seng Hospital", 
              "id": "https://www.grid.ac/institutes/grid.240988.f", 
              "name": [
                "Singapore Tuberculosis Elimination Programme, Tan Tock Seng Hospital, Novena, Singapore"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Chee", 
            "givenName": "Cynthia Bin Eng", 
            "id": "sg:person.07460237551.43", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07460237551.43"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "Centre for Infectious Disease Epidemiology & Research, Saw Swee Hock School of Public Health, National University of Singapore and NUHS, Singapore, Singapore"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Cook", 
            "givenName": "Alex Richard", 
            "id": "sg:person.01034341733.34", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01034341733.34"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Tan Tock Seng Hospital", 
              "id": "https://www.grid.ac/institutes/grid.240988.f", 
              "name": [
                "Singapore Tuberculosis Elimination Programme, Tan Tock Seng Hospital, Novena, Singapore"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Wang", 
            "givenName": "Yee Tang", 
            "id": "sg:person.010105354574.38", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010105354574.38"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Tan Tock Seng Hospital", 
              "id": "https://www.grid.ac/institutes/grid.240988.f", 
              "name": [
                "Singapore Tuberculosis Elimination Programme, Tan Tock Seng Hospital, Novena, Singapore"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Win", 
            "givenName": "Khin Mar Kyi", 
            "id": "sg:person.01140200606.37", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01140200606.37"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Singapore General Hospital", 
              "id": "https://www.grid.ac/institutes/grid.163555.1", 
              "name": [
                "Department of Emergency Medicine, Singapore General Hospital, Singapore, Singapore"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Ong", 
            "givenName": "Marcus Eng Hock", 
            "id": "sg:person.01176424774.01", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01176424774.01"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "Centre for Infectious Disease Epidemiology & Research, Saw Swee Hock School of Public Health, National University of Singapore and NUHS, Singapore, Singapore"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Hsu", 
            "givenName": "Li Yang", 
            "id": "sg:person.0635477266.45", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0635477266.45"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1136/thx.51.9.944", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002795955"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1136/thx.51.9.944", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002795955"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.5588/pha.13.0055", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004622588"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.puhe.2006.05.002", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005423532"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3389/fbioe.2013.00004", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009449017"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1155/2014/514093", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011185306"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pone.0068102", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015709027"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/b978-1-4160-3988-4.00013-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021616411"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1033283351", 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-1-4419-7865-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033283351", 
              "https://doi.org/10.1007/978-1-4419-7865-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-1-4419-7865-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033283351", 
              "https://doi.org/10.1007/978-1-4419-7865-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-1-4419-7046-6_17", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034154656", 
              "https://doi.org/10.1007/978-1-4419-7046-6_17"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-1-4419-7046-6_17", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034154656", 
              "https://doi.org/10.1007/978-1-4419-7046-6_17"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/dmrr.2431", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039093416"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1023/a:1007653329972", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046342494", 
              "https://doi.org/10.1023/a:1007653329972"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pone.0084487", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052594212"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/biomet/90.4.777", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1059421317"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1198/016214503388619238", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1064198136"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.5365/wpsar.2013.4.1.007", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1072793466"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1077599519", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1078549520", 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-85849-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1109711105", 
              "https://doi.org/10.1007/978-3-642-85849-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-85849-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1109711105", 
              "https://doi.org/10.1007/978-3-642-85849-9"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2014-12", 
        "datePublishedReg": "2014-12-01", 
        "description": "BACKGROUND: Singapore is an intermediate tuberculosis (TB) incidence country, with a recent rise in TB incidence from 2008, after a fall in incidence since 1998. This study identified population characteristics that were associated with the recent increase in TB cases, and built a predictive model of TB risk in Singapore.\nMETHODS: Retrospective time series analysis was used to study TB notification data collected from 1995 to 2011 from the Singapore Tuberculosis Elimination Program (STEP) registry. A predictive model was developed based on the data collected from 1995 to 2010 and validated using the data collected in 2011.\nRESULTS: There was a significant difference in demographic characteristics between resident and non-resident TB cases. TB risk was higher in non-residents than in residents throughout the period. We found no significant association between demographic and macro-economic factors and annual incidence of TB with or without adjusting for the population-at-risk. Despite growing non-resident population, there was a significant decrease in the non-resident TB risk (p\u2009<\u20090.0001). However, there was no evidence of trend in the resident TB risk over this time period, though differences between different demographic groups were apparent with ethnic minorities experiencing higher incidence rates.\nCONCLUSION: The study found that despite an increasing size of non-resident population, TB risk among non-residents was decreasing at a rate of about 3% per year. There was an apparent seasonality in the TB reporting.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1186/1471-2458-14-1121", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": true, 
        "isPartOf": [
          {
            "id": "sg:journal.1024954", 
            "issn": [
              "1471-2458"
            ], 
            "name": "BMC Public Health", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "1", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "14"
          }
        ], 
        "name": "Time series analysis of demographic and temporal trends of tuberculosis in Singapore", 
        "pagination": "1121", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "240ef4eeba638634addc81d80ec3a6e6288e7c082ca936de1ac591a7ed3fdc11"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "25359711"
            ]
          }, 
          {
            "name": "nlm_unique_id", 
            "type": "PropertyValue", 
            "value": [
              "100968562"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1186/1471-2458-14-1121"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1007570031"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1186/1471-2458-14-1121", 
          "https://app.dimensions.ai/details/publication/pub.1007570031"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-11T00:27", 
        "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/v90/0000000001_0000000264/records_8695_00000581.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://link.springer.com/10.1186%2F1471-2458-14-1121"
      }
    ]
     

    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.10.1186/1471-2458-14-1121'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/1471-2458-14-1121'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/1471-2458-14-1121'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/1471-2458-14-1121'


     

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

    275 TRIPLES      21 PREDICATES      66 URIs      39 LITERALS      27 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1186/1471-2458-14-1121 schema:about N031eee0667384aaca2f38bc96b6caf41
    2 N07258951303a4b1598299fdd46f67b81
    3 N40fdba364e5445a4b7c716ea0cae0551
    4 N50b3f9d4f76141a18afa992878177826
    5 N55061a30e4fb4fad990ffe44a494c702
    6 N55abca35f5b84f59b9e187b532df2de4
    7 N604b82dbaf7d42209f0d617f7ab1af88
    8 N6e896ccb04af4939a4eb9e93d1edeb9a
    9 N752401149fe848128256166b3f1e1d5d
    10 N7ec0ad702baf474fb78bc3a7258c36fd
    11 N90dc3acef00945ab85581c4c4b9c2572
    12 N941740e190c84390b1144013696f2e75
    13 N9e94d89e8fdf4d6294772a337839ac70
    14 Na1fd9ea4c8094f4c82821834dbb93a4c
    15 Nbbdec0b7fa7b40ddbf11238a55653b9c
    16 Nc37b746be87e46cd98565355ed3908e9
    17 Ndcad804c9bad4b47b743dcd64af4c84b
    18 Ne6f7c0e1116b45bd869828e6312fd29b
    19 anzsrc-for:11
    20 anzsrc-for:1117
    21 schema:author Nf55ca8567757477bbe635cef5eabf5a8
    22 schema:citation sg:pub.10.1007/978-1-4419-7046-6_17
    23 sg:pub.10.1007/978-1-4419-7865-3
    24 sg:pub.10.1007/978-3-642-85849-9
    25 sg:pub.10.1023/a:1007653329972
    26 https://app.dimensions.ai/details/publication/pub.1033283351
    27 https://app.dimensions.ai/details/publication/pub.1077599519
    28 https://app.dimensions.ai/details/publication/pub.1078549520
    29 https://doi.org/10.1002/dmrr.2431
    30 https://doi.org/10.1016/b978-1-4160-3988-4.00013-5
    31 https://doi.org/10.1016/j.puhe.2006.05.002
    32 https://doi.org/10.1093/biomet/90.4.777
    33 https://doi.org/10.1136/thx.51.9.944
    34 https://doi.org/10.1155/2014/514093
    35 https://doi.org/10.1198/016214503388619238
    36 https://doi.org/10.1371/journal.pone.0068102
    37 https://doi.org/10.1371/journal.pone.0084487
    38 https://doi.org/10.3389/fbioe.2013.00004
    39 https://doi.org/10.5365/wpsar.2013.4.1.007
    40 https://doi.org/10.5588/pha.13.0055
    41 schema:datePublished 2014-12
    42 schema:datePublishedReg 2014-12-01
    43 schema:description BACKGROUND: Singapore is an intermediate tuberculosis (TB) incidence country, with a recent rise in TB incidence from 2008, after a fall in incidence since 1998. This study identified population characteristics that were associated with the recent increase in TB cases, and built a predictive model of TB risk in Singapore. METHODS: Retrospective time series analysis was used to study TB notification data collected from 1995 to 2011 from the Singapore Tuberculosis Elimination Program (STEP) registry. A predictive model was developed based on the data collected from 1995 to 2010 and validated using the data collected in 2011. RESULTS: There was a significant difference in demographic characteristics between resident and non-resident TB cases. TB risk was higher in non-residents than in residents throughout the period. We found no significant association between demographic and macro-economic factors and annual incidence of TB with or without adjusting for the population-at-risk. Despite growing non-resident population, there was a significant decrease in the non-resident TB risk (p < 0.0001). However, there was no evidence of trend in the resident TB risk over this time period, though differences between different demographic groups were apparent with ethnic minorities experiencing higher incidence rates. CONCLUSION: The study found that despite an increasing size of non-resident population, TB risk among non-residents was decreasing at a rate of about 3% per year. There was an apparent seasonality in the TB reporting.
    44 schema:genre research_article
    45 schema:inLanguage en
    46 schema:isAccessibleForFree true
    47 schema:isPartOf N073e4ebe7fb94a1fb99ee1aa94f5ef18
    48 Ne6a5d99c210b454e9f2d1255529221cd
    49 sg:journal.1024954
    50 schema:name Time series analysis of demographic and temporal trends of tuberculosis in Singapore
    51 schema:pagination 1121
    52 schema:productId N01824f8bc8e9442da8d16d548811a31b
    53 N3aa567d1ced4400bac48996609080247
    54 N95b6d20d3ee847c4a10d59a3e6905e4b
    55 Nb8ef4f9bba294692b232215993887c0d
    56 Ndadfefb7295945f3b04d086f785db936
    57 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007570031
    58 https://doi.org/10.1186/1471-2458-14-1121
    59 schema:sdDatePublished 2019-04-11T00:27
    60 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    61 schema:sdPublisher N686715669e3c4cb19ff0cc236303d1b6
    62 schema:url http://link.springer.com/10.1186%2F1471-2458-14-1121
    63 sgo:license sg:explorer/license/
    64 sgo:sdDataset articles
    65 rdf:type schema:ScholarlyArticle
    66 N01824f8bc8e9442da8d16d548811a31b schema:name dimensions_id
    67 schema:value pub.1007570031
    68 rdf:type schema:PropertyValue
    69 N031eee0667384aaca2f38bc96b6caf41 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    70 schema:name Demography
    71 rdf:type schema:DefinedTerm
    72 N05225ac48ee14fd88a99df6d18048883 rdf:first sg:person.0665201036.53
    73 rdf:rest N1ec7d81143484cdaa927581c2f0a5606
    74 N07258951303a4b1598299fdd46f67b81 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    75 schema:name Adult
    76 rdf:type schema:DefinedTerm
    77 N073e4ebe7fb94a1fb99ee1aa94f5ef18 schema:volumeNumber 14
    78 rdf:type schema:PublicationVolume
    79 N1ec7d81143484cdaa927581c2f0a5606 rdf:first sg:person.010163735732.50
    80 rdf:rest Neb1b43e99b7445d89fc9a9762ca5c30d
    81 N2931f0a2abeb4a199d11aafee557eafa rdf:first sg:person.010105354574.38
    82 rdf:rest N7787c11bb8d54d7e94474e5c06981453
    83 N3aa567d1ced4400bac48996609080247 schema:name pubmed_id
    84 schema:value 25359711
    85 rdf:type schema:PropertyValue
    86 N40fdba364e5445a4b7c716ea0cae0551 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    87 schema:name Aged, 80 and over
    88 rdf:type schema:DefinedTerm
    89 N50b3f9d4f76141a18afa992878177826 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    90 schema:name Models, Theoretical
    91 rdf:type schema:DefinedTerm
    92 N55061a30e4fb4fad990ffe44a494c702 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    93 schema:name Population Groups
    94 rdf:type schema:DefinedTerm
    95 N55abca35f5b84f59b9e187b532df2de4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    96 schema:name Socioeconomic Factors
    97 rdf:type schema:DefinedTerm
    98 N5ad4e0a25699441c92f8a8dfa43bb346 rdf:first sg:person.01034341733.34
    99 rdf:rest N2931f0a2abeb4a199d11aafee557eafa
    100 N604b82dbaf7d42209f0d617f7ab1af88 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    101 schema:name Singapore
    102 rdf:type schema:DefinedTerm
    103 N686715669e3c4cb19ff0cc236303d1b6 schema:name Springer Nature - SN SciGraph project
    104 rdf:type schema:Organization
    105 N6e896ccb04af4939a4eb9e93d1edeb9a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    106 schema:name Emigrants and Immigrants
    107 rdf:type schema:DefinedTerm
    108 N752401149fe848128256166b3f1e1d5d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    109 schema:name Time Factors
    110 rdf:type schema:DefinedTerm
    111 N7787c11bb8d54d7e94474e5c06981453 rdf:first sg:person.01140200606.37
    112 rdf:rest Nc8b3cf3753df4686b4e08df3db08d113
    113 N7ec0ad702baf474fb78bc3a7258c36fd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    114 schema:name Humans
    115 rdf:type schema:DefinedTerm
    116 N90dc3acef00945ab85581c4c4b9c2572 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    117 schema:name Incidence
    118 rdf:type schema:DefinedTerm
    119 N941740e190c84390b1144013696f2e75 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    120 schema:name Retrospective Studies
    121 rdf:type schema:DefinedTerm
    122 N95b6d20d3ee847c4a10d59a3e6905e4b schema:name nlm_unique_id
    123 schema:value 100968562
    124 rdf:type schema:PropertyValue
    125 N9e94d89e8fdf4d6294772a337839ac70 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    126 schema:name Aged
    127 rdf:type schema:DefinedTerm
    128 Na1fd9ea4c8094f4c82821834dbb93a4c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    129 schema:name Middle Aged
    130 rdf:type schema:DefinedTerm
    131 Nb4075f2c5dca46baa8b42ef3cb0ccb7c schema:name Centre for Infectious Disease Epidemiology & Research, Saw Swee Hock School of Public Health, National University of Singapore and NUHS, Singapore, Singapore
    132 rdf:type schema:Organization
    133 Nb8ef4f9bba294692b232215993887c0d schema:name readcube_id
    134 schema:value 240ef4eeba638634addc81d80ec3a6e6288e7c082ca936de1ac591a7ed3fdc11
    135 rdf:type schema:PropertyValue
    136 Nbbdec0b7fa7b40ddbf11238a55653b9c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    137 schema:name Adolescent
    138 rdf:type schema:DefinedTerm
    139 Nc37b746be87e46cd98565355ed3908e9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    140 schema:name Young Adult
    141 rdf:type schema:DefinedTerm
    142 Nc8b3cf3753df4686b4e08df3db08d113 rdf:first sg:person.01176424774.01
    143 rdf:rest Nf1860531a347438697e1521adfd3f070
    144 Ncdd6f0f2b9ff4dd39bab40c2678d3e65 schema:name Centre for Infectious Disease Epidemiology & Research, Saw Swee Hock School of Public Health, National University of Singapore and NUHS, Singapore, Singapore
    145 rdf:type schema:Organization
    146 Nd9a449644dc94d85b108cc3908f78361 schema:name Centre for Infectious Disease Epidemiology & Research, Saw Swee Hock School of Public Health, National University of Singapore and NUHS, Singapore, Singapore
    147 rdf:type schema:Organization
    148 Ndadfefb7295945f3b04d086f785db936 schema:name doi
    149 schema:value 10.1186/1471-2458-14-1121
    150 rdf:type schema:PropertyValue
    151 Ndcad804c9bad4b47b743dcd64af4c84b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    152 schema:name Tuberculosis
    153 rdf:type schema:DefinedTerm
    154 Ne6a5d99c210b454e9f2d1255529221cd schema:issueNumber 1
    155 rdf:type schema:PublicationIssue
    156 Ne6f7c0e1116b45bd869828e6312fd29b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    157 schema:name Forecasting
    158 rdf:type schema:DefinedTerm
    159 Neb1b43e99b7445d89fc9a9762ca5c30d rdf:first sg:person.07460237551.43
    160 rdf:rest N5ad4e0a25699441c92f8a8dfa43bb346
    161 Neb29847042684dcdaea47e5b6008f79e schema:name Centre for Infectious Disease Epidemiology & Research, Saw Swee Hock School of Public Health, National University of Singapore and NUHS, Singapore, Singapore
    162 rdf:type schema:Organization
    163 Nf11c8e0b263a49acb91ccc73eb91e7b8 rdf:first sg:person.01365014506.85
    164 rdf:rest N05225ac48ee14fd88a99df6d18048883
    165 Nf1860531a347438697e1521adfd3f070 rdf:first sg:person.0635477266.45
    166 rdf:rest rdf:nil
    167 Nf55ca8567757477bbe635cef5eabf5a8 rdf:first sg:person.0676375414.59
    168 rdf:rest Nf11c8e0b263a49acb91ccc73eb91e7b8
    169 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
    170 schema:name Medical and Health Sciences
    171 rdf:type schema:DefinedTerm
    172 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
    173 schema:name Public Health and Health Services
    174 rdf:type schema:DefinedTerm
    175 sg:journal.1024954 schema:issn 1471-2458
    176 schema:name BMC Public Health
    177 rdf:type schema:Periodical
    178 sg:person.010105354574.38 schema:affiliation https://www.grid.ac/institutes/grid.240988.f
    179 schema:familyName Wang
    180 schema:givenName Yee Tang
    181 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010105354574.38
    182 rdf:type schema:Person
    183 sg:person.010163735732.50 schema:affiliation https://www.grid.ac/institutes/grid.240988.f
    184 schema:familyName Lim
    185 schema:givenName Leo Kang Yang
    186 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010163735732.50
    187 rdf:type schema:Person
    188 sg:person.01034341733.34 schema:affiliation Nb4075f2c5dca46baa8b42ef3cb0ccb7c
    189 schema:familyName Cook
    190 schema:givenName Alex Richard
    191 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01034341733.34
    192 rdf:type schema:Person
    193 sg:person.01140200606.37 schema:affiliation https://www.grid.ac/institutes/grid.240988.f
    194 schema:familyName Win
    195 schema:givenName Khin Mar Kyi
    196 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01140200606.37
    197 rdf:type schema:Person
    198 sg:person.01176424774.01 schema:affiliation https://www.grid.ac/institutes/grid.163555.1
    199 schema:familyName Ong
    200 schema:givenName Marcus Eng Hock
    201 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01176424774.01
    202 rdf:type schema:Person
    203 sg:person.01365014506.85 schema:affiliation Neb29847042684dcdaea47e5b6008f79e
    204 schema:familyName Das
    205 schema:givenName Sourav
    206 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01365014506.85
    207 rdf:type schema:Person
    208 sg:person.0635477266.45 schema:affiliation Nd9a449644dc94d85b108cc3908f78361
    209 schema:familyName Hsu
    210 schema:givenName Li Yang
    211 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0635477266.45
    212 rdf:type schema:Person
    213 sg:person.0665201036.53 schema:affiliation https://www.grid.ac/institutes/grid.428397.3
    214 schema:familyName Earnest
    215 schema:givenName Arul
    216 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0665201036.53
    217 rdf:type schema:Person
    218 sg:person.0676375414.59 schema:affiliation Ncdd6f0f2b9ff4dd39bab40c2678d3e65
    219 schema:familyName Wah
    220 schema:givenName Win
    221 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0676375414.59
    222 rdf:type schema:Person
    223 sg:person.07460237551.43 schema:affiliation https://www.grid.ac/institutes/grid.240988.f
    224 schema:familyName Chee
    225 schema:givenName Cynthia Bin Eng
    226 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07460237551.43
    227 rdf:type schema:Person
    228 sg:pub.10.1007/978-1-4419-7046-6_17 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034154656
    229 https://doi.org/10.1007/978-1-4419-7046-6_17
    230 rdf:type schema:CreativeWork
    231 sg:pub.10.1007/978-1-4419-7865-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033283351
    232 https://doi.org/10.1007/978-1-4419-7865-3
    233 rdf:type schema:CreativeWork
    234 sg:pub.10.1007/978-3-642-85849-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1109711105
    235 https://doi.org/10.1007/978-3-642-85849-9
    236 rdf:type schema:CreativeWork
    237 sg:pub.10.1023/a:1007653329972 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046342494
    238 https://doi.org/10.1023/a:1007653329972
    239 rdf:type schema:CreativeWork
    240 https://app.dimensions.ai/details/publication/pub.1033283351 schema:CreativeWork
    241 https://app.dimensions.ai/details/publication/pub.1077599519 schema:CreativeWork
    242 https://app.dimensions.ai/details/publication/pub.1078549520 schema:CreativeWork
    243 https://doi.org/10.1002/dmrr.2431 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039093416
    244 rdf:type schema:CreativeWork
    245 https://doi.org/10.1016/b978-1-4160-3988-4.00013-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021616411
    246 rdf:type schema:CreativeWork
    247 https://doi.org/10.1016/j.puhe.2006.05.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005423532
    248 rdf:type schema:CreativeWork
    249 https://doi.org/10.1093/biomet/90.4.777 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059421317
    250 rdf:type schema:CreativeWork
    251 https://doi.org/10.1136/thx.51.9.944 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002795955
    252 rdf:type schema:CreativeWork
    253 https://doi.org/10.1155/2014/514093 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011185306
    254 rdf:type schema:CreativeWork
    255 https://doi.org/10.1198/016214503388619238 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064198136
    256 rdf:type schema:CreativeWork
    257 https://doi.org/10.1371/journal.pone.0068102 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015709027
    258 rdf:type schema:CreativeWork
    259 https://doi.org/10.1371/journal.pone.0084487 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052594212
    260 rdf:type schema:CreativeWork
    261 https://doi.org/10.3389/fbioe.2013.00004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009449017
    262 rdf:type schema:CreativeWork
    263 https://doi.org/10.5365/wpsar.2013.4.1.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072793466
    264 rdf:type schema:CreativeWork
    265 https://doi.org/10.5588/pha.13.0055 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004622588
    266 rdf:type schema:CreativeWork
    267 https://www.grid.ac/institutes/grid.163555.1 schema:alternateName Singapore General Hospital
    268 schema:name Department of Emergency Medicine, Singapore General Hospital, Singapore, Singapore
    269 rdf:type schema:Organization
    270 https://www.grid.ac/institutes/grid.240988.f schema:alternateName Tan Tock Seng Hospital
    271 schema:name Singapore Tuberculosis Elimination Programme, Tan Tock Seng Hospital, Novena, Singapore
    272 rdf:type schema:Organization
    273 https://www.grid.ac/institutes/grid.428397.3 schema:alternateName Duke NUS Graduate Medical School
    274 schema:name Centre for Quantitative Medicine, Duke NUS Graduate Medical School, Singapore, Singapore
    275 rdf:type schema:Organization
     




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


    ...