Ontology type: schema:ScholarlyArticle
2018-06
AUTHORSVishal Shah, Anand Shah, Varoon Joshi
ABSTRACTLand use change near dense forests is the single major cause of emergence of forest-based emerging infectious diseases (EIDs) among humans. In an attempt to predict where the next EID would originate from, we are hypothesizing that future EIDs would originate from a region having high population density, excessive poverty, and is located near dense vegetation. Using ArcGIS, we identified forest regions in ten countries across the globe that meet all the three conditions identified in the hypothesis. We further narrowed down the locations using Global Forest Watch data, which eliminates locations next to protected forests and fragmented forests. Our results indicate that there is high likelihood of next infectious disease originating from the southern and eastern forests around Freetown in Sierra Leone, the forest region around Douala in Cameroon, or the southern forest region in Nigeria. Concerted efforts need to be made to identify any new disease in the areas as soon as it emerges in the human population and contain the spread within the population. More... »
PAGES337
http://scigraph.springernature.com/pub.10.1007/s10661-018-6711-6
DOIhttp://dx.doi.org/10.1007/s10661-018-6711-6
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1103901397
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/29744690
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/2008/0705",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Forestry Sciences",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/07",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Agricultural and Veterinary Sciences",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Cameroon",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Communicable Diseases, Emerging",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Conservation of Natural Resources",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Environmental Monitoring",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Forests",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Humans",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Nigeria",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Sierra Leone",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Trees",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "West Chester University",
"id": "https://www.grid.ac/institutes/grid.268132.c",
"name": [
"College of the Sciences and Mathematics, West Chester University of Pennsylvania, West Chester, PA, USA"
],
"type": "Organization"
},
"familyName": "Shah",
"givenName": "Vishal",
"id": "sg:person.01161604561.83",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01161604561.83"
],
"type": "Person"
},
{
"affiliation": {
"name": [
"Chadds Ford Elementary School, Chadds Ford, PA, USA"
],
"type": "Organization"
},
"familyName": "Shah",
"givenName": "Anand",
"id": "sg:person.013052527156.32",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013052527156.32"
],
"type": "Person"
},
{
"affiliation": {
"name": [
"Chadds Ford Elementary School, Chadds Ford, PA, USA"
],
"type": "Organization"
},
"familyName": "Joshi",
"givenName": "Varoon",
"type": "Person"
}
],
"citation": [
{
"id": "https://doi.org/10.1146/annurev-phyto-081211-172938",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1001229480"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0020-7519(00)00141-7",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1007506112"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1098/rstb.2004.1480",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1009761592"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.3201/eid1409.071196",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1012037716"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1289/ehp.6877",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1025607160"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.3201/eid0202.960201",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1027805120"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1146/annurev.es.23.110192.000351",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1028762684"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/infdis/jit202",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1030275694"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.3201/eid1112.040789",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1039463400"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1371/journal.ppat.1003467",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1044064682"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s10393-006-0063-3",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1046117704",
"https://doi.org/10.1007/s10393-006-0063-3"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s10393-006-0063-3",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1046117704",
"https://doi.org/10.1007/s10393-006-0063-3"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.3201/eid1301.060480",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1047308997"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/ngeo756",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1050799711",
"https://doi.org/10.1038/ngeo756"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/ngeo756",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1050799711",
"https://doi.org/10.1038/ngeo756"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.3402/iee.v5.30048",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1051274373"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.4269/ajtmh.1950.s1-30.533",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1076924127"
],
"type": "CreativeWork"
},
{
"id": "https://app.dimensions.ai/details/publication/pub.1077087080",
"type": "CreativeWork"
},
{
"id": "https://app.dimensions.ai/details/publication/pub.1078177403",
"type": "CreativeWork"
}
],
"datePublished": "2018-06",
"datePublishedReg": "2018-06-01",
"description": "Land use change near dense forests is the single major cause of emergence of forest-based emerging infectious diseases (EIDs) among humans. In an attempt to predict where the next EID would originate from, we are hypothesizing that future EIDs would originate from a region having high population density, excessive poverty, and is located near dense vegetation. Using ArcGIS, we identified forest regions in ten countries across the globe that meet all the three conditions identified in the hypothesis. We further narrowed down the locations using Global Forest Watch data, which eliminates locations next to protected forests and fragmented forests. Our results indicate that there is high likelihood of next infectious disease originating from the southern and eastern forests around Freetown in Sierra Leone, the forest region around Douala in Cameroon, or the southern forest region in Nigeria. Concerted efforts need to be made to identify any new disease in the areas as soon as it emerges in the human population and contain the spread within the population.",
"genre": "research_article",
"id": "sg:pub.10.1007/s10661-018-6711-6",
"inLanguage": [
"en"
],
"isAccessibleForFree": false,
"isPartOf": [
{
"id": "sg:journal.1095684",
"issn": [
"0167-6369",
"1573-2959"
],
"name": "Environmental Monitoring and Assessment",
"type": "Periodical"
},
{
"issueNumber": "6",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "190"
}
],
"name": "Predicting the origins of next forest-based emerging infectious disease",
"pagination": "337",
"productId": [
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"19f012eb6354bc8b6ec1b3be029d3b798d7acb0c028483384368604871d9cc79"
]
},
{
"name": "pubmed_id",
"type": "PropertyValue",
"value": [
"29744690"
]
},
{
"name": "nlm_unique_id",
"type": "PropertyValue",
"value": [
"8508350"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/s10661-018-6711-6"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1103901397"
]
}
],
"sameAs": [
"https://doi.org/10.1007/s10661-018-6711-6",
"https://app.dimensions.ai/details/publication/pub.1103901397"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-10T13:26",
"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_8659_00000557.jsonl",
"type": "ScholarlyArticle",
"url": "https://link.springer.com/10.1007%2Fs10661-018-6711-6"
}
]
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.10.1007/s10661-018-6711-6'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s10661-018-6711-6'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10661-018-6711-6'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10661-018-6711-6'
This table displays all metadata directly associated to this object as RDF triples.
173 TRIPLES
21 PREDICATES
55 URIs
30 LITERALS
18 BLANK NODES