> top > docs > PubMed:33106403 > annotations

PubMed:33106403 JSONTXT

Annnotations TAB JSON ListView MergeView

LitCovid-PD-UBERON

Id Subject Object Predicate Lexical cue uberon_id
T1 5-10 Body_part denotes scale http://purl.obolibrary.org/obo/UBERON_0002542
T2 1316-1322 Body_part denotes scales http://purl.obolibrary.org/obo/UBERON_0002542
T3 1776-1781 Body_part denotes scale http://purl.obolibrary.org/obo/UBERON_0002542

LitCovid-PD-MONDO

Id Subject Object Predicate Lexical cue mondo_id
T1 33-40 Disease denotes measles http://purl.obolibrary.org/obo/MONDO_0004619
T2 191-198 Disease denotes measles http://purl.obolibrary.org/obo/MONDO_0004619
T3 241-248 Disease denotes measles http://purl.obolibrary.org/obo/MONDO_0004619
T4 360-368 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T5 555-562 Disease denotes measles http://purl.obolibrary.org/obo/MONDO_0004619
T6 608-615 Disease denotes measles http://purl.obolibrary.org/obo/MONDO_0004619
T7 1498-1506 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T8 1565-1583 Disease denotes infectious disease http://purl.obolibrary.org/obo/MONDO_0005550
T9 1702-1720 Disease denotes infectious disease http://purl.obolibrary.org/obo/MONDO_0005550
T10 1850-1857 Disease denotes measles http://purl.obolibrary.org/obo/MONDO_0004619

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T1 290-302 http://purl.obolibrary.org/obo/OBI_0000245 denotes Organization
T2 593-596 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T3 962-963 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T4 1103-1104 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T5 1516-1519 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T6 1526-1527 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T7 1601-1602 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T8 1830-1831 http://purl.obolibrary.org/obo/CLO_0001020 denotes a

LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
4 360-368 Disease denotes COVID-19 MESH:C000657245
5 1498-1506 Disease denotes COVID-19 MESH:C000657245
6 1565-1583 Disease denotes infectious disease MESH:D003141
7 1702-1720 Disease denotes infectious disease MESH:D003141

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T1 0-131 Sentence denotes Fine-scale spatial clustering of measles nonvaccination that increases outbreak potential is obscured by aggregated reporting data.
T2 132-349 Sentence denotes The United States experienced historically high numbers of measles cases in 2019, despite achieving national measles vaccination rates above the World Health Organization recommendation of 95% coverage with two doses.
T3 350-574 Sentence denotes Since the COVID-19 pandemic began, resulting in suspension of many clinical preventive services, pediatric vaccination rates in the United States have fallen precipitously, dramatically increasing risk of measles resurgence.
T4 575-769 Sentence denotes Previous research has shown that measles outbreaks in high-coverage contexts are driven by spatial clustering of nonvaccination, which decreases local immunity below the herd immunity threshold.
T5 770-1076 Sentence denotes However, little is known about how to best conduct surveillance and target interventions to detect and address these high-risk areas, and most vaccination data are reported at the state-level-a resolution too coarse to detect community-level clustering of nonvaccination characteristic of recent outbreaks.
T6 1077-1323 Sentence denotes In this paper, we perform a series of computational experiments to assess the impact of clustered nonvaccination on outbreak potential and magnitude of bias in predicting disease risk posed by measuring vaccination rates at coarse spatial scales.
T7 1324-1493 Sentence denotes We find that, when nonvaccination is locally clustered, reporting aggregate data at the state- or county-level can result in substantial underestimates of outbreak risk.
T8 1494-1734 Sentence denotes The COVID-19 pandemic has shone a bright light on the weaknesses in US infectious disease surveillance and a broader gap in our understanding of how to best use detailed spatial data to interrupt and control infectious disease transmission.
T9 1735-1892 Sentence denotes Our research clearly outlines that finer-scale vaccination data should be collected to prevent a return to endemic measles transmission in the United States.

LitCovid_AGAC_only

Id Subject Object Predicate Lexical cue
p253551s10 398-408 NegReg denotes suspension