Item talk:Q264303

Add topic
There are no discussions on this page.

{

 "USGS Publications Warehouse": {
   "@context": "https://schema.org",
   "@type": "Article",
   "additionalType": "Journal Article",
   "name": "Bayesian forecasting of disease spread with little or no local data",
   "identifier": [
     {
       "@type": "PropertyValue",
       "propertyID": "USGS Publications Warehouse IndexID",
       "value": "70255217",
       "url": "https://pubs.usgs.gov/publication/70255217"
     },
     {
       "@type": "PropertyValue",
       "propertyID": "USGS Publications Warehouse Internal ID",
       "value": 70255217
     },
     {
       "@type": "PropertyValue",
       "propertyID": "DOI",
       "value": "10.1038/s41598-023-35177-6",
       "url": "https://doi.org/10.1038/s41598-023-35177-6"
     }
   ],
   "journal": {
     "@type": "Periodical",
     "name": "Scientific Reports",
     "volumeNumber": "13",
     "issueNumber": null
   },
   "inLanguage": "en",
   "isPartOf": [
     {
       "@type": "CreativeWorkSeries",
       "name": "Scientific Reports"
     }
   ],
   "datePublished": "2023",
   "dateModified": "2024-06-14",
   "abstract": "Rapid and targeted management actions are a prerequisite to efficiently mitigate disease outbreaks. Targeted actions, however, require accurate spatial information on disease occurrence and spread. Frequently, targeted management actions are guided by non-statistical approaches that define the affected area by a pre-determined distance surrounding a small number of disease detections. As an alternative, we present a long-recognized but underutilized Bayesian technique that uses limited local data and informative priors to make statistically valid predictions and forecasts about disease occurrence and spread. As a case study, we use limited local data that were available after the detection of chronic wasting disease in Michigan, U.S. along with information rich priors obtained from a previous study in a neighboring state. Using these limited local data and informative priors, we generate statistically valid predictions of disease occurrence and spread for the Michigan study area. This Bayesian technique is conceptually and computationally simple, relies on little to no local data, and is competitive with non-statistical distance-based metrics in all performance evaluations. Bayesian modeling has added benefits because it allows practitioners to generate immediate forecasts of future disease conditions and provides a principled framework to incorporate new data as they accumulate. We contend that the Bayesian technique offers broad-scale benefits and opportunities to make statistical inference across a diversity of data-deficient systems, not limited to disease.",
   "description": "8137, 8 p.",
   "publisher": {
     "@type": "Organization",
     "name": "Nature"
   },
   "author": [
     {
       "@type": "Person",
       "name": "Cook, Jonathan D",
       "givenName": "Jonathan D",
       "familyName": "Cook",
       "affiliation": [
         {
           "@type": "Organization",
           "name": "Student contractor"
         }
       ]
     },
     {
       "@type": "Person",
       "name": "Williams, David M.",
       "givenName": "David M.",
       "familyName": "Williams",
       "affiliation": [
         {
           "@type": "Organization",
           "name": "Department of Fisheries and Wildlife, Michigan State University, East Lansing, MI 48824, USA"
         }
       ]
     },
     {
       "@type": "Person",
       "name": "Walsh, Daniel P.",
       "givenName": "Daniel P.",
       "familyName": "Walsh",
       "identifier": {
         "@type": "PropertyValue",
         "propertyID": "ORCID",
         "value": "0000-0002-7772-2445",
         "url": "https://orcid.org/0000-0002-7772-2445"
       },
       "affiliation": [
         {
           "@type": "Organization",
           "name": "National Wildlife Health Center",
           "url": "https://www.usgs.gov/centers/nwhc"
         }
       ]
     },
     {
       "@type": "Person",
       "name": "Hefley, Trevor J.",
       "givenName": "Trevor J.",
       "familyName": "Hefley",
       "affiliation": [
         {
           "@type": "Organization",
           "name": "Dept Fish, Wildlife & Cons Biol, Colorado St Univ, Fort Collins, CO"
         }
       ]
     }
   ],
   "funder": [
     {
       "@type": "Organization",
       "name": "Coop Res Unit Seattle",
       "url": "https://www1.usgs.gov/coopunits/unit/Washington"
     },
     {
       "@type": "Organization",
       "name": "National Wildlife Health Center",
       "url": "https://www.usgs.gov/centers/nwhc"
     }
   ]
 },
 "OpenAlex": {
   "_id": "https://openalex.org/w4377139074",
   "abstract_inverted_index": {
     "Abstract": [
       0
     ],
     "Rapid": [
       1
     ],
     "and": [
       2,
       24,
       67,
       75,
       80,
       123,
       134,
       146,
       156,
       184,
       205
     ],
     "targeted": [
       3,
       27
     ],
     "management": [
       4,
       28
     ],
     "actions": [
       5,
       29
     ],
     "are": [
       6,
       30
     ],
     "a": [
       7,
       41,
       45,
       56,
       83,
       111,
       115,
       186,
       212
     ],
     "prerequisite": [
       8
     ],
     "to": [
       9,
       70,
       152,
       176,
       189,
       207,
       219
     ],
     "efficiently": [
       10
     ],
     "mitigate": [
       11
     ],
     "disease": [
       12,
       22,
       49,
       78,
       100,
       132,
       182
     ],
     "outbreaks.": [
       13
     ],
     "Targeted": [
       14
     ],
     "actions,": [
       15
     ],
     "however,": [
       16
     ],
     "require": [
       17
     ],
     "accurate": [
       18
     ],
     "spatial": [
       19
     ],
     "information": [
       20,
       106
     ],
     "on": [
       21,
       150
     ],
     "occurrence": [
       23,
       79,
       133
     ],
     "spread.": [
       25,
       81
     ],
     "Frequently,": [
       26
     ],
     "guided": [
       31
     ],
     "by": [
       32,
       40
     ],
     "non-statistical": [
       33,
       160
     ],
     "approaches": [
       34
     ],
     "that": [
       35,
       62,
       91,
       198
     ],
     "define": [
       36
     ],
     "the": [
       37,
       95,
       137,
       199
     ],
     "affected": [
       38
     ],
     "area": [
       39
     ],
     "pre-determined": [
       42
     ],
     "distance": [
       43
     ],
     "surrounding": [
       44
     ],
     "small": [
       46
     ],
     "number": [
       47
     ],
     "of": [
       48,
       97,
       131,
       180,
       214
     ],
     "detections.": [
       50
     ],
     "As": [
       51,
       82
     ],
     "an": [
       52
     ],
     "alternative,": [
       53
     ],
     "we": [
       54,
       86,
       126
     ],
     "present": [
       55
     ],
     "long-recognized": [
       57
     ],
     "but": [
       58
     ],
     "underutilized": [
       59
     ],
     "Bayesian": [
       60,
       142,
       167,
       200
     ],
     "technique": [
       61,
       143,
       201
     ],
     "uses": [
       63
     ],
     "limited": [
       64,
       88,
       120,
       218
     ],
     "local": [
       65,
       89,
       121,
       154
     ],
     "data": [
       66,
       90,
       122,
       192
     ],
     "informative": [
       68,
       124
     ],
     "priors": [
       69,
       108
     ],
     "make": [
       71,
       208
     ],
     "statistically": [
       72,
       128
     ],
     "valid": [
       73,
       129
     ],
     "predictions": [
       74,
       130
     ],
     "forecasts": [
       76,
       179
     ],
     "about": [
       77
     ],
     "case": [
       84
     ],
     "study,": [
       85
     ],
     "use": [
       87
     ],
     "were": [
       92
     ],
     "available": [
       93
     ],
     "after": [
       94
     ],
     "detection": [
       96
     ],
     "chronic": [
       98
     ],
     "wasting": [
       99
     ],
     "in": [
       101,
       114,
       163
     ],
     "Michigan,": [
       102
     ],
     "U.S.": [
       103
     ],
     "along": [
       104
     ],
     "with": [
       105,
       159
     ],
     "rich": [
       107
     ],
     "obtained": [
       109
     ],
     "from": [
       110
     ],
     "previous": [
       112
     ],
     "study": [
       113,
       139
     ],
     "neighboring": [
       116
     ],
     "state.": [
       117
     ],
     "Using": [
       118
     ],
     "these": [
       119
     ],
     "priors,": [
       125
     ],
     "generate": [
       127,
       177
     ],
     "spread": [
       135
     ],
     "for": [
       136
     ],
     "Michigan": [
       138
     ],
     "area.": [
       140
     ],
     "This": [
       141
     ],
     "is": [
       144,
       157
     ],
     "conceptually": [
       145
     ],
     "computationally": [
       147
     ],
     "simple,": [
       148
     ],
     "relies": [
       149
     ],
     "little": [
       151
     ],
     "no": [
       153
     ],
     "data,": [
       155
     ],
     "competitive": [
       158
     ],
     "distance-based": [
       161
     ],
     "metrics": [
       162
     ],
     "all": [
       164
     ],
     "performance": [
       165
     ],
     "evaluations.": [
       166
     ],
     "modeling": [
       168
     ],
     "has": [
       169
     ],
     "added": [
       170
     ],
     "benefits": [
       171,
       204
     ],
     "because": [
       172
     ],
     "it": [
       173
     ],
     "allows": [
       174
     ],
     "practitioners": [
       175
     ],
     "immediate": [
       178
     ],
     "future": [
       181
     ],
     "conditions": [
       183
     ],
     "provides": [
       185
     ],
     "principled": [
       187
     ],
     "framework": [
       188
     ],
     "incorporate": [
       190
     ],
     "new": [
       191
     ],
     "as": [
       193
     ],
     "they": [
       194
     ],
     "accumulate.": [
       195
     ],
     "We": [
       196
     ],
     "contend": [
       197
     ],
     "offers": [
       202
     ],
     "broad-scale": [
       203
     ],
     "opportunities": [
       206
     ],
     "statistical": [
       209
     ],
     "inference": [
       210
     ],
     "across": [
       211
     ],
     "diversity": [
       213
     ],
     "data-deficient": [
       215
     ],
     "systems,": [
       216
     ],
     "not": [
       217
     ],
     "disease.": [
       220
     ]
   },
   "apc_list": {
     "value": 1890,
     "currency": "EUR",
     "value_usd": 2190,
     "provenance": "doaj"
   },
   "apc_paid": {
     "value": 1890,
     "currency": "EUR",
     "value_usd": 2190,
     "provenance": "doaj"
   },
   "authorships": [
     {
       "author_position": "first",
       "author": {
         "id": "https://openalex.org/A5041015623",
         "display_name": "Jonathan D. Cook",
         "orcid": "https://orcid.org/0000-0001-7000-8727"
       },
       "institutions": [
         {
           "id": "https://openalex.org/I87216513",
           "display_name": "Michigan State University",
           "ror": "https://ror.org/05hs6h993",
           "country_code": "US",
           "type": "education",
           "lineage": [
             "https://openalex.org/I87216513"
           ]
         }
       ],
       "countries": [
         "US"
       ],
       "is_corresponding": false,
       "raw_author_name": "Jonathan D. Cook",
       "raw_affiliation_strings": [
         "Michigan State University, 480 Wilson Road, East Lansing, MI, 48823, USA"
       ],
       "affiliations": [
         {
           "raw_affiliation_string": "Michigan State University, 480 Wilson Road, East Lansing, MI, 48823, USA",
           "institution_ids": [
             "https://openalex.org/I87216513"
           ]
         }
       ]
     },
     {
       "author_position": "middle",
       "author": {
         "id": "https://openalex.org/A5013259507",
         "display_name": "David Bergqvist",
         "orcid": "https://orcid.org/0000-0001-9472-6168"
       },
       "institutions": [
         {
           "id": "https://openalex.org/I87216513",
           "display_name": "Michigan State University",
           "ror": "https://ror.org/05hs6h993",
           "country_code": "US",
           "type": "education",
           "lineage": [
             "https://openalex.org/I87216513"
           ]
         }
       ],
       "countries": [
         "US"
       ],
       "is_corresponding": false,
       "raw_author_name": "David M. Williams",
       "raw_affiliation_strings": [
         "Michigan State University, 480 Wilson Road, East Lansing, MI, 48823, USA"
       ],
       "affiliations": [
         {
           "raw_affiliation_string": "Michigan State University, 480 Wilson Road, East Lansing, MI, 48823, USA",
           "institution_ids": [
             "https://openalex.org/I87216513"
           ]
         }
       ]
     },
     {
       "author_position": "middle",
       "author": {
         "id": "https://openalex.org/A5081470571",
         "display_name": "Daniel P. Walsh",
         "orcid": "https://orcid.org/0000-0002-7772-2445"
       },
       "institutions": [
         {
           "id": "https://openalex.org/I6750721",
           "display_name": "University of Montana",
           "ror": "https://ror.org/0078xmk34",
           "country_code": "US",
           "type": "education",
           "lineage": [
             "https://openalex.org/I6750721"
           ]
         },
         {
           "id": "https://openalex.org/I1286329397",
           "display_name": "United States Geological Survey",
           "ror": "https://ror.org/035a68863",
           "country_code": "US",
           "type": "government",
           "lineage": [
             "https://openalex.org/I1286329397",
             "https://openalex.org/I1335927249"
           ]
         }
       ],
       "countries": [
         "US"
       ],
       "is_corresponding": false,
       "raw_author_name": "Daniel P. Walsh",
       "raw_affiliation_strings": [
         "U.S. Geological Survey, Montana Cooperative Wildlife Research Unit, University of Montana, 32 Campus Drive NS 205, Missoula, MT, 59812, USA"
       ],
       "affiliations": [
         {
           "raw_affiliation_string": "U.S. Geological Survey, Montana Cooperative Wildlife Research Unit, University of Montana, 32 Campus Drive NS 205, Missoula, MT, 59812, USA",
           "institution_ids": [
             "https://openalex.org/I6750721",
             "https://openalex.org/I1286329397"
           ]
         }
       ]
     },
     {
       "author_position": "last",
       "author": {
         "id": "https://openalex.org/A5021662267",
         "display_name": "Trevor J. Hefley",
         "orcid": "https://orcid.org/0000-0002-5850-328X"
       },
       "institutions": [
         {
           "id": "https://openalex.org/I189590672",
           "display_name": "Kansas State University",
           "ror": "https://ror.org/05p1j8758",
           "country_code": "US",
           "type": "education",
           "lineage": [
             "https://openalex.org/I189590672"
           ]
         }
       ],
       "countries": [
         "US"
       ],
       "is_corresponding": false,
       "raw_author_name": "Trevor J. Hefley",
       "raw_affiliation_strings": [
         "Department of Statistics, Kansas State University, 1116 Mid-Campus Drive N, Manhattan, KS, 66506, USA"
       ],
       "affiliations": [
         {
           "raw_affiliation_string": "Department of Statistics, Kansas State University, 1116 Mid-Campus Drive N, Manhattan, KS, 66506, USA",
           "institution_ids": [
             "https://openalex.org/I189590672"
           ]
         }
       ]
     }
   ],
   "best_oa_location": {
     "is_oa": true,
     "landing_page_url": "https://doi.org/10.1038/s41598-023-35177-6",
     "pdf_url": "https://www.nature.com/articles/s41598-023-35177-6.pdf",
     "source": {
       "id": "https://openalex.org/S196734849",
       "display_name": "Scientific Reports",
       "issn_l": "2045-2322",
       "issn": [
         "2045-2322"
       ],
       "is_oa": true,
       "is_in_doaj": true,
       "is_core": true,
       "host_organization": "https://openalex.org/P4310319908",
       "host_organization_name": "Nature Portfolio",
       "host_organization_lineage": [
         "https://openalex.org/P4310319908",
         "https://openalex.org/P4310319965"
       ],
       "host_organization_lineage_names": [
         "Nature Portfolio",
         "Springer Nature"
       ],
       "type": "journal"
     },
     "license": "cc-by",
     "license_id": "https://openalex.org/licenses/cc-by",
     "version": "publishedVersion",
     "is_accepted": true,
     "is_published": true
   },
   "biblio": {
     "volume": "13",
     "issue": "1",
     "first_page": null,
     "last_page": null
   },
   "citation_normalized_percentile": {
     "value": 0.999856,
     "is_in_top_1_percent": true,
     "is_in_top_10_percent": true
   },
   "cited_by_api_url": "https://api.openalex.org/works?filter=cites:W4377139074",
   "cited_by_count": 2,
   "cited_by_percentile_year": {
     "min": 84,
     "max": 89
   },
   "concepts": [
     {
       "id": "https://openalex.org/C177769412",
       "wikidata": "https://www.wikidata.org/wiki/Q278090",
       "display_name": "Prior probability",
       "level": 3,
       "score": 0.8287016
     },
     {
       "id": "https://openalex.org/C107673813",
       "wikidata": "https://www.wikidata.org/wiki/Q812534",
       "display_name": "Bayesian probability",
       "level": 2,
       "score": 0.745828
     },
     {
       "id": "https://openalex.org/C41008148",
       "wikidata": "https://www.wikidata.org/wiki/Q21198",
       "display_name": "Computer science",
       "level": 0,
       "score": 0.66185904
     },
     {
       "id": "https://openalex.org/C160234255",
       "wikidata": "https://www.wikidata.org/wiki/Q812535",
       "display_name": "Bayesian inference",
       "level": 3,
       "score": 0.5742061
     },
     {
       "id": "https://openalex.org/C134261354",
       "wikidata": "https://www.wikidata.org/wiki/Q938438",
       "display_name": "Statistical inference",
       "level": 2,
       "score": 0.5267065
     },
     {
       "id": "https://openalex.org/C2776214188",
       "wikidata": "https://www.wikidata.org/wiki/Q408386",
       "display_name": "Inference",
       "level": 2,
       "score": 0.49878025
     },
     {
       "id": "https://openalex.org/C119857082",
       "wikidata": "https://www.wikidata.org/wiki/Q2539",
       "display_name": "Machine learning",
       "level": 1,
       "score": 0.45824808
     },
     {
       "id": "https://openalex.org/C124101348",
       "wikidata": "https://www.wikidata.org/wiki/Q172491",
       "display_name": "Data mining",
       "level": 1,
       "score": 0.4538986
     },
     {
       "id": "https://openalex.org/C154945302",
       "wikidata": "https://www.wikidata.org/wiki/Q11660",
       "display_name": "Artificial intelligence",
       "level": 1,
       "score": 0.34246957
     },
     {
       "id": "https://openalex.org/C149782125",
       "wikidata": "https://www.wikidata.org/wiki/Q160039",
       "display_name": "Econometrics",
       "level": 1,
       "score": 0.3414418
     },
     {
       "id": "https://openalex.org/C105795698",
       "wikidata": "https://www.wikidata.org/wiki/Q12483",
       "display_name": "Statistics",
       "level": 1,
       "score": 0.27467215
     },
     {
       "id": "https://openalex.org/C33923547",
       "wikidata": "https://www.wikidata.org/wiki/Q395",
       "display_name": "Mathematics",
       "level": 0,
       "score": 0.14214036
     }
   ],
   "corresponding_author_ids": [],
   "corresponding_institution_ids": [],
   "countries_distinct_count": 1,
   "counts_by_year": [
     {
       "year": 2024,
       "cited_by_count": 1
     },
     {
       "year": 2023,
       "cited_by_count": 1
     }
   ],
   "created_date": "2023-05-21",
   "datasets": [],
   "display_name": "Bayesian forecasting of disease spread with little or no local data",
   "doi": "https://doi.org/10.1038/s41598-023-35177-6",
   "fulltext_origin": "pdf",
   "fwci": 2.184,
   "grants": [
     {
       "funder": "https://openalex.org/F4320306116",
       "funder_display_name": "U.S. Department of the Interior",
       "award_id": "MI W-155-R"
     },
     {
       "funder": "https://openalex.org/F4320312523",
       "funder_display_name": "Michigan Department of Natural Resources",
       "award_id": "WLD1708"
     },
     {
       "funder": "https://openalex.org/F4320333898",
       "funder_display_name": "College of Agriculture and Natural Resources, Michigan State University",
       "award_id": null
     }
   ],
   "has_fulltext": true,
   "id": "https://openalex.org/W4377139074",
   "ids": {
     "openalex": "https://openalex.org/W4377139074",
     "doi": "https://doi.org/10.1038/s41598-023-35177-6",
     "pmid": "https://pubmed.ncbi.nlm.nih.gov/37208385"
   },
   "indexed_in": [
     "crossref",
     "pubmed"
   ],
   "institutions_distinct_count": 4,
   "is_paratext": false,
   "is_retracted": false,
   "keywords": [
     {
       "id": "https://openalex.org/keywords/statistical-inference",
       "display_name": "Statistical inference",
       "score": 0.5267065
     },
     {
       "id": "https://openalex.org/keywords/epidemiological-patterns",
       "display_name": "Epidemiological Patterns",
       "score": 0.46027
     }
   ],
   "language": "en",
   "locations": [
     {
       "is_oa": true,
       "landing_page_url": "https://doi.org/10.1038/s41598-023-35177-6",
       "pdf_url": "https://www.nature.com/articles/s41598-023-35177-6.pdf",
       "source": {
         "id": "https://openalex.org/S196734849",
         "display_name": "Scientific Reports",
         "issn_l": "2045-2322",
         "issn": [
           "2045-2322"
         ],
         "is_oa": true,
         "is_in_doaj": true,
         "is_core": true,
         "host_organization": "https://openalex.org/P4310319908",
         "host_organization_name": "Nature Portfolio",
         "host_organization_lineage": [
           "https://openalex.org/P4310319908",
           "https://openalex.org/P4310319965"
         ],
         "host_organization_lineage_names": [
           "Nature Portfolio",
           "Springer Nature"
         ],
         "type": "journal"
       },
       "license": "cc-by",
       "license_id": "https://openalex.org/licenses/cc-by",
       "version": "publishedVersion",
       "is_accepted": true,
       "is_published": true
     },
     {
       "is_oa": true,
       "landing_page_url": "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10199067",
       "pdf_url": null,
       "source": {
         "id": "https://openalex.org/S2764455111",
         "display_name": "PubMed Central",
         "issn_l": null,
         "issn": null,
         "is_oa": true,
         "is_in_doaj": false,
         "is_core": false,
         "host_organization": "https://openalex.org/I1299303238",
         "host_organization_name": "National Institutes of Health",
         "host_organization_lineage": [
           "https://openalex.org/I1299303238"
         ],
         "host_organization_lineage_names": [
           "National Institutes of Health"
         ],
         "type": "repository"
       },
       "license": null,
       "license_id": null,
       "version": "publishedVersion",
       "is_accepted": true,
       "is_published": true
     },
     {
       "is_oa": false,
       "landing_page_url": "https://pubmed.ncbi.nlm.nih.gov/37208385",
       "pdf_url": null,
       "source": {
         "id": "https://openalex.org/S4306525036",
         "display_name": "PubMed",
         "issn_l": null,
         "issn": null,
         "is_oa": false,
         "is_in_doaj": false,
         "is_core": false,
         "host_organization": "https://openalex.org/I1299303238",
         "host_organization_name": "National Institutes of Health",
         "host_organization_lineage": [
           "https://openalex.org/I1299303238"
         ],
         "host_organization_lineage_names": [
           "National Institutes of Health"
         ],
         "type": "repository"
       },
       "license": null,
       "license_id": null,
       "version": null,
       "is_accepted": false,
       "is_published": false
     }
   ],
   "locations_count": 3,
   "mesh": [
     {
       "descriptor_ui": "D034081",
       "descriptor_name": "Wasting Disease, Chronic",
       "qualifier_ui": "",
       "qualifier_name": null,
       "is_major_topic": true
     },
     {
       "descriptor_ui": "D000818",
       "descriptor_name": "Animals",
       "qualifier_ui": "",
       "qualifier_name": null,
       "is_major_topic": false
     },
     {
       "descriptor_ui": "D001499",
       "descriptor_name": "Bayes Theorem",
       "qualifier_ui": "",
       "qualifier_name": null,
       "is_major_topic": false
     },
     {
       "descriptor_ui": "D005544",
       "descriptor_name": "Forecasting",
       "qualifier_ui": "",
       "qualifier_name": null,
       "is_major_topic": false
     },
     {
       "descriptor_ui": "D006801",
       "descriptor_name": "Humans",
       "qualifier_ui": "",
       "qualifier_name": null,
       "is_major_topic": false
     },
     {
       "descriptor_ui": "D008824",
       "descriptor_name": "Michigan",
       "qualifier_ui": "",
       "qualifier_name": null,
       "is_major_topic": false
     },
     {
       "descriptor_ui": "D008824",
       "descriptor_name": "Michigan",
       "qualifier_ui": "Q000453",
       "qualifier_name": "epidemiology",
       "is_major_topic": false
     }
   ],
   "ngrams_url": "https://api.openalex.org/works/W4377139074/ngrams",
   "open_access": {
     "is_oa": true,
     "oa_status": "gold",
     "oa_url": "https://www.nature.com/articles/s41598-023-35177-6.pdf",
     "any_repository_has_fulltext": true
   },
   "primary_location": {
     "is_oa": true,
     "landing_page_url": "https://doi.org/10.1038/s41598-023-35177-6",
     "pdf_url": "https://www.nature.com/articles/s41598-023-35177-6.pdf",
     "source": {
       "id": "https://openalex.org/S196734849",
       "display_name": "Scientific Reports",
       "issn_l": "2045-2322",
       "issn": [
         "2045-2322"
       ],
       "is_oa": true,
       "is_in_doaj": true,
       "is_core": true,
       "host_organization": "https://openalex.org/P4310319908",
       "host_organization_name": "Nature Portfolio",
       "host_organization_lineage": [
         "https://openalex.org/P4310319908",
         "https://openalex.org/P4310319965"
       ],
       "host_organization_lineage_names": [
         "Nature Portfolio",
         "Springer Nature"
       ],
       "type": "journal"
     },
     "license": "cc-by",
     "license_id": "https://openalex.org/licenses/cc-by",
     "version": "publishedVersion",
     "is_accepted": true,
     "is_published": true
   },
   "primary_topic": {
     "id": "https://openalex.org/T11560",
     "display_name": "Dynamics of Livestock Disease Transmission and Control",
     "score": 0.9951,
     "subfield": {
       "id": "https://openalex.org/subfields/1102",
       "display_name": "Agronomy and Crop Science"
     },
     "field": {
       "id": "https://openalex.org/fields/11",
       "display_name": "Agricultural and Biological Sciences"
     },
     "domain": {
       "id": "https://openalex.org/domains/1",
       "display_name": "Life Sciences"
     }
   },
   "publication_date": "2023-05-19",
   "publication_year": 2023,
   "referenced_works": [
     "https://openalex.org/W1969588503",
     "https://openalex.org/W2025720061",
     "https://openalex.org/W2026952567",
     "https://openalex.org/W2102937261",
     "https://openalex.org/W2297941261",
     "https://openalex.org/W2499829708",
     "https://openalex.org/W2558965484",
     "https://openalex.org/W2599719249",
     "https://openalex.org/W2765179244",
     "https://openalex.org/W2922084453",
     "https://openalex.org/W4256351452"
   ],
   "referenced_works_count": 11,
   "related_works": [
     "https://openalex.org/W3160546271",
     "https://openalex.org/W3000984192",
     "https://openalex.org/W2795035211",
     "https://openalex.org/W2562263695",
     "https://openalex.org/W2160108762",
     "https://openalex.org/W2147201983",
     "https://openalex.org/W2135187896",
     "https://openalex.org/W2015518264",
     "https://openalex.org/W1718066205",
     "https://openalex.org/W137830373"
   ],
   "sustainable_development_goals": [],
   "title": "Bayesian forecasting of disease spread with little or no local data",
   "topics": [
     {
       "id": "https://openalex.org/T11560",
       "display_name": "Dynamics of Livestock Disease Transmission and Control",
       "score": 0.9951,
       "subfield": {
         "id": "https://openalex.org/subfields/1102",
         "display_name": "Agronomy and Crop Science"
       },
       "field": {
         "id": "https://openalex.org/fields/11",
         "display_name": "Agricultural and Biological Sciences"
       },
       "domain": {
         "id": "https://openalex.org/domains/1",
         "display_name": "Life Sciences"
       }
     },
     {
       "id": "https://openalex.org/T10594",
       "display_name": "Genomic Selection in Plant and Animal Breeding",
       "score": 0.9905,
       "subfield": {
         "id": "https://openalex.org/subfields/1311",
         "display_name": "Genetics"
       },
       "field": {
         "id": "https://openalex.org/fields/13",
         "display_name": "Biochemistry, Genetics and Molecular Biology"
       },
       "domain": {
         "id": "https://openalex.org/domains/1",
         "display_name": "Life Sciences"
       }
     },
     {
       "id": "https://openalex.org/T10733",
       "display_name": "Genetic Diversity and Breeding of Wheat",
       "score": 0.9716,
       "subfield": {
         "id": "https://openalex.org/subfields/1110",
         "display_name": "Plant Science"
       },
       "field": {
         "id": "https://openalex.org/fields/11",
         "display_name": "Agricultural and Biological Sciences"
       },
       "domain": {
         "id": "https://openalex.org/domains/1",
         "display_name": "Life Sciences"
       }
     }
   ],
   "type": "article",
   "type_crossref": "journal-article",
   "updated_date": "2024-08-08T15:28:10.437353",
   "versions": []
 }

}

Return to "Q264303" page.