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LitCovid-PD-UBERON

Id Subject Object Predicate Lexical cue uberon_id
T1 2099-2104 Body_part denotes scale http://purl.obolibrary.org/obo/UBERON_0002542

LitCovid-PD-MONDO

Id Subject Object Predicate Lexical cue mondo_id
T1 89-97 Disease denotes SARS-CoV http://purl.obolibrary.org/obo/MONDO_0005091
T2 267-275 Disease denotes SARS-CoV http://purl.obolibrary.org/obo/MONDO_0005091
T3 1791-1799 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T1 32-37 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T2 1772-1778 http://purl.obolibrary.org/obo/UBERON_0000473 denotes tested
T3 3055-3060 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus

LitCovid-PD-CHEBI

Id Subject Object Predicate Lexical cue chebi_id
T1 1633-1639 Chemical denotes nuclei http://purl.obolibrary.org/obo/CHEBI_33252
T2 1845-1851 Chemical denotes nuclei http://purl.obolibrary.org/obo/CHEBI_33252

LitCovid-PD-HP

Id Subject Object Predicate Lexical cue hp_id
T1 643-648 Phenotype denotes cough http://purl.obolibrary.org/obo/HP_0012735

LitCovid-PD-GO-BP

Id Subject Object Predicate Lexical cue
T1 18-37 http://purl.obolibrary.org/obo/GO_0046794 denotes transport and virus
T2 18-27 http://purl.obolibrary.org/obo/GO_0006810 denotes transport
T3 2195-2204 http://purl.obolibrary.org/obo/GO_0006810 denotes transport

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T1 0-135 Sentence denotes Modelling aerosol transport and virus exposure with numerical simulations in relation to SARS-CoV-2 transmission by inhalation indoors.
T2 136-306 Sentence denotes We provide research findings on the physics of aerosol and droplet dispersion relevant to the hypothesized aerosol transmission of SARS-CoV-2 during the current pandemic.
T3 307-481 Sentence denotes We utilize physics-based modeling at different levels of complexity, along with previous literature on coronaviruses, to investigate the possibility of airborne transmission.
T4 482-670 Sentence denotes The previous literature, our 0D-3D simulations by various physics-based models, and theoretical calculations, indicate that the typical size range of speech and cough originated droplets (
T5 725-726 Sentence denotes d
T6 755-756 Sentence denotes ⩽
T7 785-787 Sentence denotes 20
T8 845-846 Sentence denotes μ
T9 875-876 Sentence denotes m
T10 923-956 Sentence denotes ) allows lingering in the air for
T11 1011-1012 Sentence denotes O
T12 1041-1042 Sentence denotes (
T13 1071-1072 Sentence denotes 1
T14 1130-1131 Sentence denotes h
T15 1178-1210 Sentence denotes ) so that they could be inhaled.
T16 1211-1334 Sentence denotes Consistent with the previous literature, numerical evidence on the rapid drying process of even large droplets, up to sizes
T17 1389-1390 Sentence denotes O
T18 1419-1420 Sentence denotes (
T19 1449-1452 Sentence denotes 100
T20 1510-1511 Sentence denotes μ
T21 1540-1541 Sentence denotes m
T22 1570-1571 Sentence denotes )
T23 1618-1661 Sentence denotes , into droplet nuclei/aerosols is provided.
T24 1662-1896 Sentence denotes Based on the literature and the public media sources, we provide evidence that the individuals, who have been tested positive on COVID-19, could have been exposed to aerosols/droplet nuclei by inhaling them in significant numbers e.g.
T25 1951-1952 Sentence denotes O
T26 1981-1982 Sentence denotes (
T27 2011-2014 Sentence denotes 100
T28 2043-2044 Sentence denotes )
T29 2091-2092 Sentence denotes .
T30 2093-2231 Sentence denotes By 3D scale-resolving computational fluid dynamics (CFD) simulations, we give various examples on the transport and dilution of aerosols (
T31 2286-2287 Sentence denotes d
T32 2316-2317 Sentence denotes ⩽
T33 2346-2348 Sentence denotes 20
T34 2406-2407 Sentence denotes μ
T35 2436-2437 Sentence denotes m
T36 2484-2500 Sentence denotes ) over distances
T37 2555-2556 Sentence denotes O
T38 2585-2586 Sentence denotes (
T39 2615-2617 Sentence denotes 10
T40 2675-2676 Sentence denotes m
T41 2705-2706 Sentence denotes )
T42 2753-2777 Sentence denotes in generic environments.
T43 2778-2874 Sentence denotes We study susceptible and infected individuals in generic public places by Monte-Carlo modelling.
T44 2875-3011 Sentence denotes The developed model takes into account the locally varying aerosol concentration levels which the susceptible accumulate via inhalation.
T45 3012-3150 Sentence denotes The introduced concept, 'exposure time' to virus containing aerosols is proposed to complement the traditional 'safety distance' thinking.
T46 3151-3191 Sentence denotes We show that the exposure time to inhale
T47 3246-3247 Sentence denotes O
T48 3276-3277 Sentence denotes (
T49 3306-3309 Sentence denotes 100
T50 3338-3339 Sentence denotes )
T51 3386-3411 Sentence denotes aerosols could range from
T52 3466-3467 Sentence denotes O
T53 3496-3497 Sentence denotes (
T54 3526-3527 Sentence denotes 1
T55 3585-3586 Sentence denotes s
T56 3615-3616 Sentence denotes )
T57 3663-3665 Sentence denotes to
T58 3720-3721 Sentence denotes O
T59 3750-3751 Sentence denotes (
T60 3780-3781 Sentence denotes 1
T61 3839-3842 Sentence denotes min
T62 3871-3872 Sentence denotes )
T63 3919-3929 Sentence denotes or even to
T64 3984-3985 Sentence denotes O
T65 4014-4015 Sentence denotes (
T66 4044-4045 Sentence denotes 1
T67 4103-4104 Sentence denotes h
T68 4133-4134 Sentence denotes )
T69 4181-4208 Sentence denotes depending on the situation.
T70 4209-4357 Sentence denotes The Monte-Carlo simulations, along with the theory, provide clear quantitative insight to the exposure time in different public indoor environments.

LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
1 89-99 Species denotes SARS-CoV-2 Tax:2697049
8 267-277 Species denotes SARS-CoV-2 Tax:2697049
9 410-423 Species denotes coronaviruses Tax:11118
10 643-648 Disease denotes cough MESH:D003371
11 1791-1799 Disease denotes COVID-19 MESH:C000657245
12 2145-2148 Disease denotes CFD MESH:C563256
13 2803-2811 Disease denotes infected MESH:D007239