Detecting the start of an influenza outbreak using exponentially weighted moving average charts View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2010-12

AUTHORS

Stefan H Steiner, Kristina Grant, Michael Coory, Heath A Kelly

ABSTRACT

BACKGROUND: Influenza viruses cause seasonal outbreaks in temperate climates, usually during winter and early spring, and are endemic in tropical climates. The severity and length of influenza outbreaks vary from year to year. Quick and reliable detection of the start of an outbreak is needed to promote public health measures. METHODS: We propose the use of an exponentially weighted moving average (EWMA) control chart of laboratory confirmed influenza counts to detect the start and end of influenza outbreaks. RESULTS: The chart is shown to provide timely signals in an example application with seven years of data from Victoria, Australia. CONCLUSIONS: The EWMA control chart could be applied in other applications to quickly detect influenza outbreaks. More... »

PAGES

37

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/1472-6947-10-37

DOI

http://dx.doi.org/10.1186/1472-6947-10-37

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1040795347

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/20587013


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/2008/1103", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Clinical Sciences", 
        "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": "Decision Support Techniques", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Disease Notification", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Disease Outbreaks", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Influenza, Human", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Markov Chains", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Models, Statistical", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Population Surveillance", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Seasons", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sentinel Surveillance", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Victoria", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of Waterloo", 
          "id": "https://www.grid.ac/institutes/grid.46078.3d", 
          "name": [
            "Dept. of Statistics, University of Waterloo, Waterloo, Ontario, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Steiner", 
        "givenName": "Stefan H", 
        "id": "sg:person.01254425125.12", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01254425125.12"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Victorian Infectious Diseases Reference Laboratory", 
          "id": "https://www.grid.ac/institutes/grid.433799.3", 
          "name": [
            "Epidemiology Unit, Victorian Infectious Diseases Reference Laboratory, Australia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Grant", 
        "givenName": "Kristina", 
        "id": "sg:person.0772304262.84", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0772304262.84"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Queensland", 
          "id": "https://www.grid.ac/institutes/grid.1003.2", 
          "name": [
            "Queensland Health and University of Queensland, Australia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Coory", 
        "givenName": "Michael", 
        "id": "sg:person.01053520214.71", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01053520214.71"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Victorian Infectious Diseases Reference Laboratory", 
          "id": "https://www.grid.ac/institutes/grid.433799.3", 
          "name": [
            "Epidemiology Unit, Victorian Infectious Diseases Reference Laboratory, Australia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kelly", 
        "givenName": "Heath A", 
        "id": "sg:person.014463225737.83", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014463225737.83"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1093/ije/dyl162", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000170068"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/ije/29.5.905", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001796814"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1467-842x.2006.tb00846.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006075677"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2458-5-141", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007349278", 
          "https://doi.org/10.1186/1471-2458-5-141"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/1467-9876.00107", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010866749"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/1467-9876.00103", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018889392"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jmv.20246", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020281693"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/aje/kwg239", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027636693"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/pl00022313", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030899566", 
          "https://doi.org/10.1007/pl00022313"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0962280206078986", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032495246"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0962280206078986", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032495246"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0005079", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036704163"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1007481929237", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038414532", 
          "https://doi.org/10.1023/a:1007481929237"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/08982110802334138", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041486338"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1467-842x.2003.tb00418.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044600134"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.vaccine.2008.01.051", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048492108"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/00401706.1990.10484583", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058286326"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/4591848", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1077876730"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077887132", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/00224065.2006.11918593", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1100835996"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2010-12", 
    "datePublishedReg": "2010-12-01", 
    "description": "BACKGROUND: Influenza viruses cause seasonal outbreaks in temperate climates, usually during winter and early spring, and are endemic in tropical climates. The severity and length of influenza outbreaks vary from year to year. Quick and reliable detection of the start of an outbreak is needed to promote public health measures.\nMETHODS: We propose the use of an exponentially weighted moving average (EWMA) control chart of laboratory confirmed influenza counts to detect the start and end of influenza outbreaks.\nRESULTS: The chart is shown to provide timely signals in an example application with seven years of data from Victoria, Australia.\nCONCLUSIONS: The EWMA control chart could be applied in other applications to quickly detect influenza outbreaks.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/1472-6947-10-37", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1028432", 
        "issn": [
          "1472-6947"
        ], 
        "name": "BMC Medical Informatics and Decision Making", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "10"
      }
    ], 
    "name": "Detecting the start of an influenza outbreak using exponentially weighted moving average charts", 
    "pagination": "37", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "c2553db59be5328c0d08db3d7b516f5f26653f491a73527cad061bcf9fc6e8ed"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "20587013"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101088682"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/1472-6947-10-37"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1040795347"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/1472-6947-10-37", 
      "https://app.dimensions.ai/details/publication/pub.1040795347"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T23:32", 
    "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_8693_00000551.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1186%2F1472-6947-10-37"
  }
]
 

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.10.1186/1472-6947-10-37'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/1472-6947-10-37'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/1472-6947-10-37'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/1472-6947-10-37'


 

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

198 TRIPLES      21 PREDICATES      59 URIs      32 LITERALS      20 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/1472-6947-10-37 schema:about N14c411973fb14372bcfdfc0625c1675d
2 N4bbfd146ac8c4308900d4d9833870d76
3 N6b70c796c96541dea10676b3f3ec549e
4 Na1319ad8b5fb491c9d513fa8a1d824a9
5 Nb50611ae265b4899b640fbae16198dff
6 Nb90120641b2c40798981ea912f71e9d5
7 Nbeadf4a4889046b6967e5128a375403c
8 Nc068cf2f2b67415787f9a17958bb5fd9
9 Ncdcd2809c7d64e3bb27f9742a460bf38
10 Ne5e6439856064bafb94de29775b7ee12
11 Ne880bb7ec122438ab71e25c0af947a02
12 anzsrc-for:11
13 anzsrc-for:1103
14 schema:author N7e40aba3885b4012b3bcd240b62b5d48
15 schema:citation sg:pub.10.1007/pl00022313
16 sg:pub.10.1023/a:1007481929237
17 sg:pub.10.1186/1471-2458-5-141
18 https://app.dimensions.ai/details/publication/pub.1077887132
19 https://doi.org/10.1002/jmv.20246
20 https://doi.org/10.1016/j.vaccine.2008.01.051
21 https://doi.org/10.1080/00224065.2006.11918593
22 https://doi.org/10.1080/00401706.1990.10484583
23 https://doi.org/10.1080/08982110802334138
24 https://doi.org/10.1093/aje/kwg239
25 https://doi.org/10.1093/ije/29.5.905
26 https://doi.org/10.1093/ije/dyl162
27 https://doi.org/10.1111/1467-9876.00103
28 https://doi.org/10.1111/1467-9876.00107
29 https://doi.org/10.1111/j.1467-842x.2003.tb00418.x
30 https://doi.org/10.1111/j.1467-842x.2006.tb00846.x
31 https://doi.org/10.1177/0962280206078986
32 https://doi.org/10.1371/journal.pone.0005079
33 https://doi.org/10.2307/4591848
34 schema:datePublished 2010-12
35 schema:datePublishedReg 2010-12-01
36 schema:description BACKGROUND: Influenza viruses cause seasonal outbreaks in temperate climates, usually during winter and early spring, and are endemic in tropical climates. The severity and length of influenza outbreaks vary from year to year. Quick and reliable detection of the start of an outbreak is needed to promote public health measures. METHODS: We propose the use of an exponentially weighted moving average (EWMA) control chart of laboratory confirmed influenza counts to detect the start and end of influenza outbreaks. RESULTS: The chart is shown to provide timely signals in an example application with seven years of data from Victoria, Australia. CONCLUSIONS: The EWMA control chart could be applied in other applications to quickly detect influenza outbreaks.
37 schema:genre research_article
38 schema:inLanguage en
39 schema:isAccessibleForFree true
40 schema:isPartOf Ncc7e4d3e54974083a49f1313647ce9cf
41 Ncee1ce20811146b582d77fef64136d01
42 sg:journal.1028432
43 schema:name Detecting the start of an influenza outbreak using exponentially weighted moving average charts
44 schema:pagination 37
45 schema:productId N226a620a378b41cfa456201530047bd5
46 N6befb69ee8894eb5923917be2d015451
47 N6dd8d4065a0b4798ae13f798cc164175
48 N89c031d3983b4fb8b7ea714eb6f3b544
49 Ncbef6879023c44849e231e51779ac8ed
50 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040795347
51 https://doi.org/10.1186/1472-6947-10-37
52 schema:sdDatePublished 2019-04-10T23:32
53 schema:sdLicense https://scigraph.springernature.com/explorer/license/
54 schema:sdPublisher Ndf853146d75044fb96a31f686ea8019a
55 schema:url http://link.springer.com/10.1186%2F1472-6947-10-37
56 sgo:license sg:explorer/license/
57 sgo:sdDataset articles
58 rdf:type schema:ScholarlyArticle
59 N14c411973fb14372bcfdfc0625c1675d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
60 schema:name Population Surveillance
61 rdf:type schema:DefinedTerm
62 N226a620a378b41cfa456201530047bd5 schema:name readcube_id
63 schema:value c2553db59be5328c0d08db3d7b516f5f26653f491a73527cad061bcf9fc6e8ed
64 rdf:type schema:PropertyValue
65 N27c5eecf9d754aee8a87afae72383d0e rdf:first sg:person.0772304262.84
66 rdf:rest N81309b4b82de478ea8236bddf02a9b9a
67 N4bbfd146ac8c4308900d4d9833870d76 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
68 schema:name Sentinel Surveillance
69 rdf:type schema:DefinedTerm
70 N6b70c796c96541dea10676b3f3ec549e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
71 schema:name Victoria
72 rdf:type schema:DefinedTerm
73 N6befb69ee8894eb5923917be2d015451 schema:name pubmed_id
74 schema:value 20587013
75 rdf:type schema:PropertyValue
76 N6dd8d4065a0b4798ae13f798cc164175 schema:name doi
77 schema:value 10.1186/1472-6947-10-37
78 rdf:type schema:PropertyValue
79 N7e40aba3885b4012b3bcd240b62b5d48 rdf:first sg:person.01254425125.12
80 rdf:rest N27c5eecf9d754aee8a87afae72383d0e
81 N81309b4b82de478ea8236bddf02a9b9a rdf:first sg:person.01053520214.71
82 rdf:rest Nfc67b37463d64a8baceea1fa367a0ea0
83 N89c031d3983b4fb8b7ea714eb6f3b544 schema:name dimensions_id
84 schema:value pub.1040795347
85 rdf:type schema:PropertyValue
86 Na1319ad8b5fb491c9d513fa8a1d824a9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
87 schema:name Disease Notification
88 rdf:type schema:DefinedTerm
89 Nb50611ae265b4899b640fbae16198dff schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
90 schema:name Markov Chains
91 rdf:type schema:DefinedTerm
92 Nb90120641b2c40798981ea912f71e9d5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
93 schema:name Decision Support Techniques
94 rdf:type schema:DefinedTerm
95 Nbeadf4a4889046b6967e5128a375403c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
96 schema:name Models, Statistical
97 rdf:type schema:DefinedTerm
98 Nc068cf2f2b67415787f9a17958bb5fd9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
99 schema:name Seasons
100 rdf:type schema:DefinedTerm
101 Ncbef6879023c44849e231e51779ac8ed schema:name nlm_unique_id
102 schema:value 101088682
103 rdf:type schema:PropertyValue
104 Ncc7e4d3e54974083a49f1313647ce9cf schema:issueNumber 1
105 rdf:type schema:PublicationIssue
106 Ncdcd2809c7d64e3bb27f9742a460bf38 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
107 schema:name Influenza, Human
108 rdf:type schema:DefinedTerm
109 Ncee1ce20811146b582d77fef64136d01 schema:volumeNumber 10
110 rdf:type schema:PublicationVolume
111 Ndf853146d75044fb96a31f686ea8019a schema:name Springer Nature - SN SciGraph project
112 rdf:type schema:Organization
113 Ne5e6439856064bafb94de29775b7ee12 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
114 schema:name Humans
115 rdf:type schema:DefinedTerm
116 Ne880bb7ec122438ab71e25c0af947a02 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
117 schema:name Disease Outbreaks
118 rdf:type schema:DefinedTerm
119 Nfc67b37463d64a8baceea1fa367a0ea0 rdf:first sg:person.014463225737.83
120 rdf:rest rdf:nil
121 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
122 schema:name Medical and Health Sciences
123 rdf:type schema:DefinedTerm
124 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
125 schema:name Clinical Sciences
126 rdf:type schema:DefinedTerm
127 sg:journal.1028432 schema:issn 1472-6947
128 schema:name BMC Medical Informatics and Decision Making
129 rdf:type schema:Periodical
130 sg:person.01053520214.71 schema:affiliation https://www.grid.ac/institutes/grid.1003.2
131 schema:familyName Coory
132 schema:givenName Michael
133 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01053520214.71
134 rdf:type schema:Person
135 sg:person.01254425125.12 schema:affiliation https://www.grid.ac/institutes/grid.46078.3d
136 schema:familyName Steiner
137 schema:givenName Stefan H
138 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01254425125.12
139 rdf:type schema:Person
140 sg:person.014463225737.83 schema:affiliation https://www.grid.ac/institutes/grid.433799.3
141 schema:familyName Kelly
142 schema:givenName Heath A
143 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014463225737.83
144 rdf:type schema:Person
145 sg:person.0772304262.84 schema:affiliation https://www.grid.ac/institutes/grid.433799.3
146 schema:familyName Grant
147 schema:givenName Kristina
148 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0772304262.84
149 rdf:type schema:Person
150 sg:pub.10.1007/pl00022313 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030899566
151 https://doi.org/10.1007/pl00022313
152 rdf:type schema:CreativeWork
153 sg:pub.10.1023/a:1007481929237 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038414532
154 https://doi.org/10.1023/a:1007481929237
155 rdf:type schema:CreativeWork
156 sg:pub.10.1186/1471-2458-5-141 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007349278
157 https://doi.org/10.1186/1471-2458-5-141
158 rdf:type schema:CreativeWork
159 https://app.dimensions.ai/details/publication/pub.1077887132 schema:CreativeWork
160 https://doi.org/10.1002/jmv.20246 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020281693
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1016/j.vaccine.2008.01.051 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048492108
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1080/00224065.2006.11918593 schema:sameAs https://app.dimensions.ai/details/publication/pub.1100835996
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1080/00401706.1990.10484583 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058286326
167 rdf:type schema:CreativeWork
168 https://doi.org/10.1080/08982110802334138 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041486338
169 rdf:type schema:CreativeWork
170 https://doi.org/10.1093/aje/kwg239 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027636693
171 rdf:type schema:CreativeWork
172 https://doi.org/10.1093/ije/29.5.905 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001796814
173 rdf:type schema:CreativeWork
174 https://doi.org/10.1093/ije/dyl162 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000170068
175 rdf:type schema:CreativeWork
176 https://doi.org/10.1111/1467-9876.00103 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018889392
177 rdf:type schema:CreativeWork
178 https://doi.org/10.1111/1467-9876.00107 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010866749
179 rdf:type schema:CreativeWork
180 https://doi.org/10.1111/j.1467-842x.2003.tb00418.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1044600134
181 rdf:type schema:CreativeWork
182 https://doi.org/10.1111/j.1467-842x.2006.tb00846.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1006075677
183 rdf:type schema:CreativeWork
184 https://doi.org/10.1177/0962280206078986 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032495246
185 rdf:type schema:CreativeWork
186 https://doi.org/10.1371/journal.pone.0005079 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036704163
187 rdf:type schema:CreativeWork
188 https://doi.org/10.2307/4591848 schema:sameAs https://app.dimensions.ai/details/publication/pub.1077876730
189 rdf:type schema:CreativeWork
190 https://www.grid.ac/institutes/grid.1003.2 schema:alternateName University of Queensland
191 schema:name Queensland Health and University of Queensland, Australia
192 rdf:type schema:Organization
193 https://www.grid.ac/institutes/grid.433799.3 schema:alternateName Victorian Infectious Diseases Reference Laboratory
194 schema:name Epidemiology Unit, Victorian Infectious Diseases Reference Laboratory, Australia
195 rdf:type schema:Organization
196 https://www.grid.ac/institutes/grid.46078.3d schema:alternateName University of Waterloo
197 schema:name Dept. of Statistics, University of Waterloo, Waterloo, Ontario, Canada
198 rdf:type schema:Organization
 




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


...