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PMC:7058650 / 6940-13604 JSONTXT

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LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
74 68-77 Species denotes 2019-nCoV Tax:2697049
75 598-604 Species denotes people Tax:9606
76 995-1001 Species denotes people Tax:9606
77 1348-1357 Species denotes 2019-nCoV Tax:2697049
78 110-118 Disease denotes infected MESH:D007239
79 229-237 Disease denotes infected MESH:D007239
80 589-597 Disease denotes infected MESH:D007239
81 816-825 Disease denotes infection MESH:D007239
82 986-994 Disease denotes infected MESH:D007239
83 1441-1449 Disease denotes infected MESH:D007239
89 3758-3764 Species denotes Turkey Tax:9103
90 3119-3126 Disease denotes Albania
91 4148-4177 Disease denotes Mauritius 0.000126679 Armenia MESH:C565485
92 5879-5896 Disease denotes 000498664 Georgia
93 6186-6203 Disease denotes 000371199 Estonia
96 2032-2041 Species denotes 2019-nCoV Tax:2697049
97 2043-2053 Species denotes SARS-COV-2 Tax:2697049

LitCovid-PD-MONDO

Id Subject Object Predicate Lexical cue mondo_id
T9 816-825 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T10 2043-2047 Disease denotes SARS http://purl.obolibrary.org/obo/MONDO_0005091

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T38 188-189 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T39 410-411 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T40 480-481 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T41 1126-1127 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T42 1487-1488 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T43 1521-1525 http://purl.obolibrary.org/obo/UBERON_0000473 denotes test
T44 3142-3144 http://purl.obolibrary.org/obo/CLO_0053733 denotes 11
T45 3758-3764 http://purl.obolibrary.org/obo/NCBITaxon_9005 denotes Turkey
T46 3834-3836 http://purl.obolibrary.org/obo/CLO_0050510 denotes 18
T47 4217-4219 http://purl.obolibrary.org/obo/CLO_0050507 denotes 22
T48 4698-4700 http://purl.obolibrary.org/obo/CLO_0050509 denotes 27
T49 5379-5381 http://purl.obolibrary.org/obo/CLO_0001302 denotes 34
T50 5470-5472 http://purl.obolibrary.org/obo/CLO_0001000 denotes 35
T51 5568-5570 http://purl.obolibrary.org/obo/CLO_0001313 denotes 36
T52 6072-6074 http://purl.obolibrary.org/obo/CLO_0053794 denotes 41
T53 6336-6338 http://purl.obolibrary.org/obo/CLO_0053733 denotes 11
T54 6357-6359 http://purl.obolibrary.org/obo/CLO_0050507 denotes 22
T55 6388-6391 http://purl.obolibrary.org/obo/NCBITaxon_9596 denotes Pan
T56 6402-6405 http://purl.obolibrary.org/obo/NCBITaxon_9596 denotes Pan
T57 6414-6416 http://purl.obolibrary.org/obo/CLO_0050510 denotes 18
T58 6417-6420 http://purl.obolibrary.org/obo/NCBITaxon_9596 denotes Pan
T59 6431-6434 http://purl.obolibrary.org/obo/NCBITaxon_9596 denotes Pan
T60 6652-6654 http://purl.obolibrary.org/obo/CLO_0053794 denotes 41

LitCovid-PD-CHEBI

Id Subject Object Predicate Lexical cue chebi_id
T1 1016-1018 Chemical denotes Cn http://purl.obolibrary.org/obo/CHEBI_33417|http://purl.obolibrary.org/obo/CHEBI_33418|http://purl.obolibrary.org/obo/CHEBI_33517

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T43 0-34 Sentence denotes Estimation of risk of transmission
T44 35-389 Sentence denotes To estimate the relative risk of 2019-nCoV transmission, we considered all infected passengers who travelled between 1 January and 31 January to possess a maximum risk of transmission 1 (and no infected passengers means no risk) and estimated the relative risk of each country based on the number of passengers who travelled from each of the four cities.
T45 390-510 Sentence denotes Thus countries with a higher number of passengers travelling from any of these cities had a higher risk of transmission.
T46 511-1052 Sentence denotes We then weighted the risk estimated for each city with the number of reported infected people in each city by 31 January 2020 [14] and estimated the mean average risk of transmission termed as ‘Risk index’ which follows the equation below:where x is the destination country, Risk index (x) is the risk of infection importation in country x, P(x)n is the number of passengers to country x from city n, Pn is the total number of passengers who left city n, In is the number of infected people in city n and Cn is the population size of city n.
T47 1053-1212 Sentence denotes The risk index denotes the risk of at least one case being imported into a country or territory where 1 means an absolute certainty and 0 means no risk at all.
T48 1213-1328 Sentence denotes Our model assumed that there is no case outside China and thus ignored if any country already had imported case(s).
T49 1329-1473 Sentence denotes In countries where 2019-nCoV is already detected, the risk index would explain the risk of importing additional infected individuals from China.
T50 1474-1616 Sentence denotes We performed a Pearson correlation coefficient test between the risk index of the country and the WHO's reported case number from the country.
T51 1617-1932 Sentence denotes We grouped the countries in four quantiles based on the risk index where high-risk countries were grouped as the 4th (>75th percentiles) and the 3rd (>50th to ⩽75th percentiles) quantiles and low-risk countries were grouped as the 2nd (>25th to ⩽50th percentiles) and the 1st (⩽25th percentile) quantiles (Table 1).
T52 1933-1941 Sentence denotes Table 1.
T53 1942-2067 Sentence denotes The list of countries or territories based on their risk index in different quantiles for 2019-nCoV (SARS-COV-2) transmission
T54 2068-2192 Sentence denotes 4th Quantile risk index (highest risk) 3rd Quantile risk index 2nd Quantile risk index 1st Quantile risk index (lowest risk)
T55 2193-2276 Sentence denotes Sl/Rank Country Risk index Country Risk index Country Risk index Country Risk index
T56 2277-2359 Sentence denotes 1 China 0.609603126 Sweden 0.000320248 Kenya 3.53  ×  10−05 Jamaica 3.84  ×  10−06
T57 2360-2441 Sentence denotes 2 Thailand 0.099432816 Laos 0.000296262 Peru 3.18  ×  10−05 Serbia 3.22  ×  10−06
T58 2442-2524 Sentence denotes 3 Cambodia 0.05294058 Brazil 0.00027186 Algeria 3.11  ×  10−05 Togo 2.73  ×  10−06
T59 2525-2621 Sentence denotes 4 Malaysia 0.041899039 Denmark 0.000254904 French Polynesia 3.07  ×  10−05 Uganda 2.71  ×  10−06
T60 2622-2702 Sentence denotes 5 Canada 0.02730388 Oman 0.000248884 Iceland 3.00  ×  10−05 Tonga 2.69  ×  10−06
T61 2703-2787 Sentence denotes 6 USA 0.021169936 Israel 0.000221865 Samoa 2.74  ×  10−05 The Bahamas 2.39  ×  10−06
T62 2788-2879 Sentence denotes 7 Japan 0.01479856 Ukraine 0.000209515 Tanzania 2.73  ×  10−05 Cote d'Ivoire 2.02  ×  10−06
T63 2880-2958 Sentence denotes 8 India 0.010256629 Poland 0.0002 Palau 2.63  ×  10−05 Suriname 2.01  ×  10−06
T64 2959-3041 Sentence denotes 9 UK 0.008786839 Brunei 0.000181028 Djibouti 2.45  ×  10−05 Vanuatu 1.99  ×  10−06
T65 3042-3141 Sentence denotes 10 South Korea 0.008072566 Czech Republic 0.000179806 Belarus 2.40  ×  10−05 Albania 1.90  ×  10−06
T66 3142-3260 Sentence denotes 11 Vietnam 0.007928803 Northern Mariana Islands 0.000177972 Bosnia and Herzegovina 2.40  ×  10−05 Malta 1.73  ×  10−06
T67 3261-3355 Sentence denotes 12 Singapore 0.007784474 Belgium 0.000175566 Cook Islands 2.26  ×  10−05 Guinea 1.60  ×  10−06
T68 3356-3448 Sentence denotes 13 Hong Kong 0.007636714 Maldives 0.000172453 Colombia 1.94  ×  10−05 Namibia 1.55  ×  10−06
T69 3449-3568 Sentence denotes 14 Indonesia 0.007197131 Norway 0.000171441 Papua New Guinea 1.88  ×  10−05 Democratic Republic of Congo 1.41  ×  10−06
T70 3569-3668 Sentence denotes 15 United Arab Emirates 0.007089607 Kuwait 0.000166929 Nigeria 1.85  ×  10−05 Rwanda 1.22  ×  10−06
T71 3669-3754 Sentence denotes 16 France 0.006814962 Egypt 0.000139373 Jordan 1.83  ×  10−05 Honduras 1.02  ×  10−06
T72 3755-3833 Sentence denotes 17 Turkey 0.00568808 Iran 0.000137181 Cuba 1.79  ×  10−05 Gabon 8.98  ×  10−07
T73 3834-3936 Sentence denotes 18 Australia 0.005671745 Mongolia 0.000132319 Argentina 1.70  × 10−05 Republic of Congo 7.22  ×  10−07
T74 3937-4022 Sentence denotes 19 Russia 0.005592859 Chile 0.000129975 Tunisia 1.65  ×  10−05 Bermuda 5.99  ×  10−07
T75 4023-4126 Sentence denotes 20 Pakistan 0.004811284 North Korea 0.000128562 Ghana 1.61  ×  10−05 Antigua and Barbuda 3.52  ×  10−07
T76 4127-4216 Sentence denotes 21 Qatar 0.004113225 Mauritius 0.000126679 Armenia 1.53  ×  10−05 Barbados 3.52  ×  10−07
T77 4217-4318 Sentence denotes 22 Macau 0.003373727 Portugal 0.000113251 Dominican Republic 1.46  ×  10−05 Cape Verde 3.52  ×  10−07
T78 4319-4418 Sentence denotes 23 Germany 0.003176858 Uzbekistan 9.67  ×  10−05 New Caledonia 1.34  ×  10−05 Guyana 3.52  ×  10−07
T79 4419-4510 Sentence denotes 24 Italy 0.002753413 Hungary 8.97  ×  10−05 Cyprus 1.29  ×  10−05 Madagascar 2.99  ×  10−07
T80 4511-4608 Sentence denotes 25 Philippines 0.002740638 Azerbaijan 8.64  ×  10−05 Bhutan 1.25  ×  10−05 Grenada 2.47  ×  10−07
T81 4609-4697 Sentence denotes 26 Taiwan 0.002590034 Croatia 8.57  ×  10−05 Nepal 1.25  ×  10−05 Bolivia 1.76  ×  10−07
T82 4698-4797 Sentence denotes 27 Belize 0.002009996 Tajikistan 8.50  ×  10−05 Slovenia 1.24  ×  10−05 Burkina Faso 1.76  ×  10−07
T83 4798-4891 Sentence denotes 28 Ethiopia 0.001469205 Bahrain 6.31  ×  10−05 Moldova 1.22  ×  10−05 Cameroon 1.76  ×  10−07
T84 4892-4976 Sentence denotes 29 Finland 0.001307074 Fiji 6.29  ×  10−05 Kosovo 1.21  ×  10−05 Chad 1.76  ×  10−07
T85 4977-5075 Sentence denotes 30 Sri Lanka 0.001179859 Kyrgyzstan 6.22  ×  10−05 Zambia 1.20  ×  10−05 Mozambique 1.76  ×  10−07
T86 5076-5184 Sentence denotes 31 The Netherlands 0.000980799 Afghanistan 6.16  ×  10−05 El Salvador 1.05  ×  10−05 Paraguay 1.76  ×  10−07
T87 5185-5287 Sentence denotes 32 New Zealand 0.000971254 Panama 5.91  ×  10−05 Romania 7.56  ×  10−06 Solomon Islands 1.76  ×  10−07
T88 5288-5378 Sentence denotes 33 Greece 0.000958209 Morocco 5.60  ×  10−05 Guatemala 6.92  ×  10−06 Syria 1.76  ×  10−07
T89 5379-5469 Sentence denotes 34 Bangladesh 0.000831196 Iraq 5.54  ×  10−05 Angola 6.77  ×  10−06 Uruguay 1.76  ×  10−07
T90 5470-5567 Sentence denotes 35 Myanmar 0.000803755 Bulgaria 5.07  ×  10−05 Costa Rica 6.41  ×  10−06 Venezuela 1.76  ×  10−07
T91 5568-5679 Sentence denotes 36 Saudi Arabia 0.000750981 Lithuania 4.99  ×  10−05 Trinidad and Tobago 6.13  ×  10−06 Zimbabwe 1.76  ×  10−07
T92 5680-5768 Sentence denotes 37 Spain 0.000564876 Seychelles 4.82  ×  10−05 Sudan 5.66  ×  10−06 Libya 1.23  ×  10−07
T93 5769-5865 Sentence denotes 38 Switzerland 0.00056232 Lebanon 4.47  ×  10−05 Ecuador 5.56  ×  10−06 Macedonia 1.23  ×  10−07
T94 5866-5965 Sentence denotes 39 Austria 0.000498664 Georgia 4.37  ×  10−05 Puerto Rico 4.68  ×  10−06 Saint Lucia 1.23  ×  10−07
T95 5966-6071 Sentence denotes 40 South Africa 0.000468876 Latvia 4.06  ×  10−05 Turkmenistan 4.42  ×  10−06 Sierra Leone 1.23  ×  10−07
T96 6072-6172 Sentence denotes 41 Kazakhstan 0.000443175 Luxembourg 3.80  ×  10−05 Mauritania 4.09  ×  10−06 Somalia 1.23  ×  10−07
T97 6173-6245 Sentence denotes 42 Ireland 0.000371199 Estonia 3.69  ×  10−05 Timor-Leste 1.23  ×  10−07
T98 6246-6267 Sentence denotes 43 Mexico 0.000322198
T99 6268-6270 Sentence denotes 44
T100 6271-6303 Sentence denotes Number of countries/territories:
T101 6304-6315 Sentence denotes 168 Africa:
T102 6316-6325 Sentence denotes 2 Africa:
T103 6326-6335 Sentence denotes 3 Africa:
T104 6336-6346 Sentence denotes 11 Africa:
T105 6347-6349 Sentence denotes 19
T106 6350-6356 Sentence denotes Asian:
T107 6357-6366 Sentence denotes 22 Asian:
T108 6367-6376 Sentence denotes 16 Asian:
T109 6377-6385 Sentence denotes 4 Asian:
T110 6386-6387 Sentence denotes 2
T111 6388-6413 Sentence denotes Pan-Europe:13 Pan-Europe:
T112 6414-6428 Sentence denotes 18 Pan-Europe:
T113 6429-6442 Sentence denotes 9 Pan-Europe:
T114 6443-6444 Sentence denotes 4
T115 6445-6459 Sentence denotes North America:
T116 6460-6476 Sentence denotes 4 North America:
T117 6477-6493 Sentence denotes 0 North America:
T118 6494-6510 Sentence denotes 3 North America:
T119 6511-6512 Sentence denotes 7
T120 6513-6521 Sentence denotes Oceania:
T121 6522-6532 Sentence denotes 2 Oceania:
T122 6533-6543 Sentence denotes 2 Oceania:
T123 6544-6554 Sentence denotes 6 Oceania:
T124 6555-6556 Sentence denotes 3
T125 6557-6571 Sentence denotes South America:
T126 6572-6588 Sentence denotes 0 South America:
T127 6589-6605 Sentence denotes 3 South America:
T128 6606-6622 Sentence denotes 8 South America:
T129 6623-6624 Sentence denotes 7
T130 6625-6631 Sentence denotes Total:
T131 6632-6641 Sentence denotes 43 Total:
T132 6642-6651 Sentence denotes 42 Total:
T133 6652-6661 Sentence denotes 41 Total:
T134 6662-6664 Sentence denotes 42