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2_test

Id Subject Object Predicate Lexical cue
32971954-31480919-143921949 315-317 31480919 denotes 23
32971954-32163436-143921950 318-320 32163436 denotes 24
32971954-32083643-143921951 1077-1079 32083643 denotes 25
32971954-32446187-143921952 1080-1082 32446187 denotes 26
32971954-32728118-143921953 1340-1342 32728118 denotes 28
32971954-23333764-143921954 1648-1650 23333764 denotes 29
32971954-23348785-143921955 1651-1653 23348785 denotes 30
32971954-30642334-143921956 1654-1656 30642334 denotes 31

LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
45 865-875 Species denotes SARS-CoV-2 Tax:2697049
46 1125-1135 Species denotes SARS-CoV-2 Tax:2697049
47 386-394 Disease denotes infected MESH:D007239
48 627-635 Disease denotes infected MESH:D007239
49 700-708 Disease denotes infected MESH:D007239
52 2297-2307 Species denotes SARS-CoV-2 Tax:2697049
53 2028-2036 Disease denotes infected MESH:D007239

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T57 0-4 Sentence denotes 2.2.
T58 5-22 Sentence denotes Model Description
T59 23-123 Sentence denotes The model is implemented via a set of ordinary differential equations, defined by Equations (1)–(6).
T60 124-322 Sentence denotes It implements viral free-living survival via the “Waterborne Abiotic or other Indirect Transmission (WAIT)” modelling framework, coupling individuals and the pathogen within the environment [23,24].
T61 323-566 Sentence denotes Within the model, the βw term allows for individuals to become infected via viral pathogen deposited in the environment and terms 𝜎A and 𝜎I allow asymptomatic and symptomatic individuals to deposit pathogens into the environment, respectively.
T62 567-929 Sentence denotes Adapted from the more traditional SEIR (susceptible-exposed-infected-recovered) model, the SEAIR-W (susceptible-exposed-asymptomatic-infected-recovered-WAIT) model interrogates the consequences of the two hypotheses outlined above while representing the dynamics of a very relevant disease system (SARS-CoV-2) that includes an asymptomatic infectious population.
T63 930-1087 Sentence denotes While the importance of asymptomatic transmission was debated early in the pandemic, many studies have affirmed its role in the spread of disease [25,26,27].
T64 1088-1344 Sentence denotes Though environmental transmission of SARS-CoV-2 remains a controversial topic, it is plausible that asymptomatic individuals may spread disease through frequent contact with the environment, thus increasing the proportion of virus that is free-living [28].
T65 1345-1510 Sentence denotes We acknowledge that mathematical models of epidemics can be limited by “identifiability,” which can obfuscate the relative importance of some routes of transmission.
T66 1511-1795 Sentence denotes In models that have both indirect and direct routes of transmission, it can be very difficult to conclude that one route is predominant [29,30,31]. (1) dSdt=μN−S−βAA+βIIN+βWWS (2) dEdt=βAA+βIIN+βWWS−ε+μE (3) dAdt=εE−ω+μA (4) dIdt=1−pωA−v+μII (5) dRdt=pωA+vI−μR (6) dWdt=σAA+σIIN1−W−kW
T67 1796-1853 Sentence denotes Figure 1 depicts the compartmental diagram for the model.
T68 1854-1961 Sentence denotes The direction of the arrows corresponds to the flow of the individuals and the pathogen through the system.
T69 1962-2150 Sentence denotes Note that individuals can move directly from the asymptomatically infected compartment to the recovered compartment (bypassing the symptomatic compartment) via what we call a “mild track”.
T70 2151-2212 Sentence denotes The dashed arrows represent WAIT coupling to the environment.
T71 2213-2313 Sentence denotes The model is inspired by one developed to interrogate environmental transmission of SARS-CoV-2 [22].