Ontology type: schema:ScholarlyArticle Open Access: True
2010-12
AUTHORSNilimesh Halder, Joel K Kelso, George J Milne
ABSTRACTBACKGROUND: Following the emergence of the A/H1N1 2009 influenza pandemic, public health interventions were activated to lessen its potential impact. Computer modelling and simulation can be used to determine the potential effectiveness of the social distancing and antiviral drug therapy interventions that were used at the early stages of the pandemic, providing guidance to public health policy makers as to intervention strategies in future pandemics involving a highly pathogenic influenza strain. METHODS: An individual-based model of a real community with a population of approximately 30,000 was used to determine the impact of alternative interventions strategies, including those used in the initial stages of the 2009 pandemic. Different interventions, namely school closure and antiviral strategies, were simulated in isolation and in combination to form different plausible scenarios. We simulated epidemics with reproduction numbers R0 of 1.5, which aligns with estimates in the range 1.4-1.6 determined from the initial outbreak in Mexico. RESULTS: School closure of 1 week was determined to have minimal effect on reducing overall illness attack rate. Antiviral drug treatment of 50% of symptomatic cases reduced the attack rate by 6.5%, from an unmitigated rate of 32.5% to 26%. Treatment of diagnosed individuals combined with additional household prophylaxis reduced the final attack rate to 19%. Further extension of prophylaxis to close contacts (in schools and workplaces) further reduced the overall attack rate to 13% and reduced the peak daily illness rate from 120 to 22 per 10,000 individuals. We determined the size of antiviral stockpile required; the ratio of the required number of antiviral courses to population was 13% for the treatment-only strategy, 25% for treatment and household prophylaxis and 40% for treatment, household and extended prophylaxis. Additional simulations suggest that coupling school closure with the antiviral strategies further reduces epidemic impact. CONCLUSIONS: These results suggest that the aggressive use of antiviral drugs together with extended school closure may substantially slow the rate of influenza epidemic development. These strategies are more rigorous than those actually used during the early stages of the relatively mild 2009 pandemic, and are appropriate for future pandemics that have high morbidity and mortality rates. More... »
PAGES168
http://scigraph.springernature.com/pub.10.1186/1471-2458-10-168
DOIhttp://dx.doi.org/10.1186/1471-2458-10-168
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1039880577
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/20346187
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": "Adult",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Antiviral Agents",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Child",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Community Health Planning",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Contact Tracing",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Disease Progression",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Female",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Humans",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Influenza A Virus, H5N1 Subtype",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Influenza, Human",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Male",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Mexico",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Pandemics",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Post-Exposure Prophylaxis",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Public Policy",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Quarantine",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Residence Characteristics",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Schools",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Workplace",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "University of Western Australia",
"id": "https://www.grid.ac/institutes/grid.1012.2",
"name": [
"School of Computer Science and Software Engineering, University of Western Australia, Perth, Australia"
],
"type": "Organization"
},
"familyName": "Halder",
"givenName": "Nilimesh",
"id": "sg:person.0606301604.35",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0606301604.35"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "University of Western Australia",
"id": "https://www.grid.ac/institutes/grid.1012.2",
"name": [
"School of Computer Science and Software Engineering, University of Western Australia, Perth, Australia"
],
"type": "Organization"
},
"familyName": "Kelso",
"givenName": "Joel K",
"id": "sg:person.01220046706.08",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01220046706.08"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "University of Western Australia",
"id": "https://www.grid.ac/institutes/grid.1012.2",
"name": [
"School of Computer Science and Software Engineering, University of Western Australia, Perth, Australia"
],
"type": "Organization"
},
"familyName": "Milne",
"givenName": "George J",
"id": "sg:person.01127024104.57",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01127024104.57"
],
"type": "Person"
}
],
"citation": [
{
"id": "sg:pub.10.1186/1471-2458-9-117",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1003950100",
"https://doi.org/10.1186/1471-2458-9-117"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1097/ede.0b013e31812713b4",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1004619217"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1097/ede.0b013e31812713b4",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1004619217"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nature04017",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1004855651",
"https://doi.org/10.1038/nature04017"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nature04017",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1004855651",
"https://doi.org/10.1038/nature04017"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nature04017",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1004855651",
"https://doi.org/10.1038/nature04017"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1098/rsif.2009.0312",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1005742624"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1086/381128",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1006220379"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/aje/kwm375",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1009656496"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1371/journal.pmed.1000085",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1009872761"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1073/pnas.0706849105",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1010186185"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1073/pnas.0308344101",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1016076593"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1073/pnas.0601266103",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1016755480"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1098/rsif.2006.0176",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1017752975"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.3201/eid1211.060255",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1017768104"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1371/journal.pmed.0030361",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1018826764"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1371/journal.pmed.0040013",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1023758253"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/0025-5564(85)90064-1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1024348972"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1371/journal.pone.0004005",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1028065513"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/1741-7015-7-30",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1030240768",
"https://doi.org/10.1186/1741-7015-7-30"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nature06732",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1035231047",
"https://doi.org/10.1038/nature06732"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1371/journal.pone.0001790",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1037069277"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s1473-3099(09)70176-8",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1037559797"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nature04795",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1038171497",
"https://doi.org/10.1038/nature04795"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nature04795",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1038171497",
"https://doi.org/10.1038/nature04795"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1056/nejmra050740",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1041937781"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1371/journal.pone.0002606",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1043949164"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.3201/eid1602.091372",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1044012747"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1126/science.1176062",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1046483256"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1467-9876.2006.00539.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1046546292"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/aje/kwh092",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1046813773"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/1742-4682-7-1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1050476820",
"https://doi.org/10.1186/1742-4682-7-1"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.mbs.2007.02.003",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1050921269"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1126/science.1115717",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1062452473"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1126/science.324_705",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1062601669"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2807/ese.14.22.19227-en",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1077909753"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2807/ese.14.24.19240-en",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1077919441"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2807/ese.14.27.19267-en",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1077925934"
],
"type": "CreativeWork"
},
{
"id": "https://app.dimensions.ai/details/publication/pub.1077988394",
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/oxfordjournals.aje.a114052",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1080082616"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/oxfordjournals.aje.a113407",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1082158317"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/oxfordjournals.aje.a113408",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1082158318"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/oxfordjournals.aje.a112213",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1082673629"
],
"type": "CreativeWork"
}
],
"datePublished": "2010-12",
"datePublishedReg": "2010-12-01",
"description": "BACKGROUND: Following the emergence of the A/H1N1 2009 influenza pandemic, public health interventions were activated to lessen its potential impact. Computer modelling and simulation can be used to determine the potential effectiveness of the social distancing and antiviral drug therapy interventions that were used at the early stages of the pandemic, providing guidance to public health policy makers as to intervention strategies in future pandemics involving a highly pathogenic influenza strain.\nMETHODS: An individual-based model of a real community with a population of approximately 30,000 was used to determine the impact of alternative interventions strategies, including those used in the initial stages of the 2009 pandemic. Different interventions, namely school closure and antiviral strategies, were simulated in isolation and in combination to form different plausible scenarios. We simulated epidemics with reproduction numbers R0 of 1.5, which aligns with estimates in the range 1.4-1.6 determined from the initial outbreak in Mexico.\nRESULTS: School closure of 1 week was determined to have minimal effect on reducing overall illness attack rate. Antiviral drug treatment of 50% of symptomatic cases reduced the attack rate by 6.5%, from an unmitigated rate of 32.5% to 26%. Treatment of diagnosed individuals combined with additional household prophylaxis reduced the final attack rate to 19%. Further extension of prophylaxis to close contacts (in schools and workplaces) further reduced the overall attack rate to 13% and reduced the peak daily illness rate from 120 to 22 per 10,000 individuals. We determined the size of antiviral stockpile required; the ratio of the required number of antiviral courses to population was 13% for the treatment-only strategy, 25% for treatment and household prophylaxis and 40% for treatment, household and extended prophylaxis. Additional simulations suggest that coupling school closure with the antiviral strategies further reduces epidemic impact.\nCONCLUSIONS: These results suggest that the aggressive use of antiviral drugs together with extended school closure may substantially slow the rate of influenza epidemic development. These strategies are more rigorous than those actually used during the early stages of the relatively mild 2009 pandemic, and are appropriate for future pandemics that have high morbidity and mortality rates.",
"genre": "research_article",
"id": "sg:pub.10.1186/1471-2458-10-168",
"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": "10"
}
],
"name": "Analysis of the effectiveness of interventions used during the 2009 A/H1N1 influenza pandemic",
"pagination": "168",
"productId": [
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"bdf939beca11c0703541adc6d3247feb5d61945a333d4bb881e67e9d44dd7d40"
]
},
{
"name": "pubmed_id",
"type": "PropertyValue",
"value": [
"20346187"
]
},
{
"name": "nlm_unique_id",
"type": "PropertyValue",
"value": [
"100968562"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1186/1471-2458-10-168"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1039880577"
]
}
],
"sameAs": [
"https://doi.org/10.1186/1471-2458-10-168",
"https://app.dimensions.ai/details/publication/pub.1039880577"
],
"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%2F1471-2458-10-168"
}
]
Download the RDF metadata as: json-ld nt turtle xml License info
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.10.1186/1471-2458-10-168'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/1471-2458-10-168'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/1471-2458-10-168'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/1471-2458-10-168'
This table displays all metadata directly associated to this object as RDF triples.
280 TRIPLES
21 PREDICATES
87 URIs
40 LITERALS
28 BLANK NODES