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LitCovid-PD-MONDO

Id Subject Object Predicate Lexical cue mondo_id
T40 701-720 Disease denotes zoonotic infections http://purl.obolibrary.org/obo/MONDO_0025481
T41 1367-1377 Disease denotes infections http://purl.obolibrary.org/obo/MONDO_0005550

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T53 763-765 http://purl.obolibrary.org/obo/CLO_0053794 denotes 41
T54 786-787 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T55 916-918 http://purl.obolibrary.org/obo/CLO_0001022 denotes Li
T56 916-918 http://purl.obolibrary.org/obo/CLO_0007314 denotes Li
T57 996-998 http://purl.obolibrary.org/obo/CLO_0050510 denotes 18
T58 1169-1171 http://purl.obolibrary.org/obo/CLO_0050509 denotes 27
T59 1287-1289 http://purl.obolibrary.org/obo/CLO_0050509 denotes 27
T60 1549-1550 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T61 1785-1786 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T62 2049-2050 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T63 2073-2074 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T64 2361-2363 http://purl.obolibrary.org/obo/CLO_0001022 denotes Li
T65 2361-2363 http://purl.obolibrary.org/obo/CLO_0007314 denotes Li
T66 2405-2406 http://purl.obolibrary.org/obo/CLO_0001021 denotes b
T67 2572-2573 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T68 2738-2739 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T69 3155-3156 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T70 3300-3301 http://purl.obolibrary.org/obo/CLO_0001021 denotes b

LitCovid-PD-CHEBI

Id Subject Object Predicate Lexical cue chebi_id
T6 916-918 Chemical denotes Li http://purl.obolibrary.org/obo/CHEBI_30145
T7 2361-2363 Chemical denotes Li http://purl.obolibrary.org/obo/CHEBI_30145
T8 3039-3043 Chemical denotes base http://purl.obolibrary.org/obo/CHEBI_22695

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T99 0-16 Sentence denotes Model simulation
T100 17-54 Sentence denotes We show our simulations in Figure 4 .
T101 55-190 Sentence denotes Under the naive scenario, we assume governmental action strength α  = 0 and intensity of individual reaction κ  = 0, which is unlikely.
T102 191-340 Sentence denotes The second scenario is when we only consider “individual reaction”, both the peak value and the number of cumulative cases are substantially reduced.
T103 341-468 Sentence denotes The third scenario is considering both “individual reaction” and “governmental action”, and the reduction becomes even further.
T104 469-647 Sentence denotes We highlight the third scenario, as we know the individual reaction and governmental action existed and played important role in previous epidemic and pandemic (He et al., 2013).
T105 648-811 Sentence denotes Our third scenario implies that• The total number of zoonotic infections was 145 which corresponds to the reported 41 zoonotic cases with a reporting rate of ≈28%.
T106 812-915 Sentence denotes This level is largely in line with estimates of Riou and Althaus (2020), Nishiura et al. (2020), and Q.
T107 916-933 Sentence denotes Li et al. (2020).
T108 934-1079 Sentence denotes • The cumulative number of cases in Wuhan was 4648 by January 18, 2020, which is in line with estimates of other teams (Bogoch et al., 2020, J.T.
T109 1080-1112 Sentence denotes Wu et al., 2020, NCPERET, 2020).
T110 1113-1186 Sentence denotes • The cumulative number of cases in Wuhan was 16,589 by 27 January, 2020.
T111 1187-1225 Sentence denotes Compared with estimates 25,630 (95%CI:
T112 1226-1349 Sentence denotes 12,260–44,440), announced by University of Hong Kong team on 27 January, 2020, our estimate is low but in their the 95% CI.
T113 1350-1428 Sentence denotes • The cumulative infections could be 84,116 in Wuhan by the end of April 2020.
T114 1429-1644 Sentence denotes • We compare simulated and reported numbers, and reconstruct the daily reporting ratio, which shows an improvement from a level of below 10% to around 50% from January 2020 to February 2020 and reflects the reality.
T115 1645-1874 Sentence denotes • Due to adjustment of the reporting policy, i.e., an effort to report all clinical cases accumulated in the past few days/weeks, there are a few days where the number of reported cases are artificially high than simulated cases.
T116 1875-2038 Sentence denotes The reason is that the reported cases in these few days included clinical cases but not laboratory confirmed that are accumulated in the past few days, also weeks.
T117 2039-2527 Sentence denotes Figure 4 (a) Daily new cases with a reporting delay of 14 days under three scenarios: naive (i.e., no action taken) as grey dotted curve, individual reaction regarding to the outbreak as red dashed curve, and individual reaction plus governmental action as green solid curve and reported cases (from official release and (Li et al., 2020) as grey curve with dotes. (b) The reporting ratio between reported cases and estimates when individual reaction and governmental action are involved.
T118 2528-2726 Sentence denotes The main purpose of this work is to propose a conceptual model to address the individual reaction (controlled by κ) and governmental action (controlled by α), as well as time-varying reporting rate.
T119 2727-2875 Sentence denotes We perform a simple sensitivity ity analyses on α and κ in Figure 5 , where we can see that both α and κ are needed to capture the observed pattern.
T120 2876-2980 Sentence denotes In particular, when α is around 0.9 and κ is greater than 110, the simulated largely match the observed.
T121 2981-3022 Sentence denotes Figure 5 Sensitivity analyses on α and κ.
T122 3023-3126 Sentence denotes We simulate the base model with both individual reaction and governmental action while varying α and κ.
T123 3127-3440 Sentence denotes We show model outcome when (a) α = 0.5 (black solid), 0.6 (red dashed), 0.7 (green dotted), 0.8 (blue dash-dotted) and 0.9 (cyan long dashed curve), while κ = 1117.3, when (b) κ = 100 (black solid), 500 (red dashed), 900 (green dotted), 1300 (blue dash-dotted) and 1700 (cyan long dashed curve), while α = 0.8478.
T124 3441-3475 Sentence denotes Grey dots show the reported cases.

LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
116 701-720 Disease denotes zoonotic infections MESH:D015047
117 766-774 Disease denotes zoonotic MESH:D015047
119 1367-1377 Disease denotes infections MESH:D007239