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PMC:7058650 / 13606-16902 JSONTXT

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LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
103 335-344 Species denotes 2019-nCoV Tax:2697049
104 346-356 Species denotes SARS-COV-2 Tax:2697049
105 358-367 Disease denotes infection MESH:D007239
106 551-570 Disease denotes 2019-nCoV infection MESH:C000657245
107 976-994 Disease denotes 2019-nCoV-infected MESH:C000657245
109 118-127 Species denotes 2019-nCoV Tax:2697049
115 1518-1529 Species denotes coronavirus Tax:11118
116 1532-1542 Species denotes SARS-COV-2 Tax:2697049
117 1730-1736 Species denotes Turkey Tax:9103
118 1610-1618 Disease denotes COVID-19 MESH:C000657245
119 1780-1788 Disease denotes COVID-19 MESH:C000657245
123 1068-1077 Species denotes 2019-nCoV Tax:2697049
124 1270-1279 Species denotes 2019-nCoV Tax:2697049
125 1341-1347 Species denotes Turkey Tax:9103
127 1902-1911 Species denotes 2019-nCoV Tax:2697049

LitCovid-PD-FMA-UBERON

Id Subject Object Predicate Lexical cue fma_id
T1 199-202 Body_part denotes map http://purl.org/sig/ont/fma/fma67847
T2 278-281 Body_part denotes map http://purl.org/sig/ont/fma/fma67847
T3 1571-1575 Body_part denotes axis http://purl.org/sig/ont/fma/fma12520

LitCovid-PD-MONDO

Id Subject Object Predicate Lexical cue mondo_id
T11 346-350 Disease denotes SARS http://purl.obolibrary.org/obo/MONDO_0005091
T12 358-367 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T13 551-570 Disease denotes 2019-nCoV infection http://purl.obolibrary.org/obo/MONDO_0100096
T14 561-570 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T15 1532-1536 Disease denotes SARS http://purl.obolibrary.org/obo/MONDO_0005091
T16 1610-1618 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T17 1780-1788 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T61 174-175 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T62 518-519 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T63 612-613 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T64 697-698 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T65 765-768 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T66 948-951 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T67 974-975 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T68 1341-1347 http://purl.obolibrary.org/obo/NCBITaxon_9005 denotes Turkey
T69 1730-1736 http://purl.obolibrary.org/obo/NCBITaxon_9005 denotes Turkey
T70 2356-2358 http://purl.obolibrary.org/obo/CLO_0050507 denotes 22
T71 2386-2389 http://purl.obolibrary.org/obo/NCBITaxon_9596 denotes Pan
T72 2518-2523 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T73 2602-2603 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T74 2704-2707 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T75 2708-2709 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T76 3060-3061 http://purl.obolibrary.org/obo/CLO_0001020 denotes a

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T135 0-7 Sentence denotes Results
T136 8-99 Sentence denotes We modelled 388 287 passengers travelling to 1297 airports in 168 countries or territories.
T137 100-173 Sentence denotes The risk index of 2019-nCoV for these countries is presented in Figure 1.
T138 174-265 Sentence denotes A regularly updated risk map is hosted on PANDORA's website ( https://ncovdata.io/import/).
T139 266-273 Sentence denotes Fig. 1.
T140 274-374 Sentence denotes The map with the risk index of countries or territories with 2019-nCoV (SARS-COV-2) infection (0-1).
T141 375-467 Sentence denotes The darker colour indicates higher risk and light blue colour indicates the absence of data.
T142 468-571 Sentence denotes In general, China and neighbouring countries have a higher risk of transmission of 2019-nCoV infection.
T143 572-639 Sentence denotes Africa and South America generally have a low risk of transmission.
T144 640-783 Sentence denotes Ethiopia, South Africa, Egypt, Mauritius and Brazil have a similar risk of transmission to countries where at least one case has been detected.
T145 784-1013 Sentence denotes For example, the risk index of 0.1 for Thailand indicates that based on travel patterns observed during 1–31 January 2020 from four major cities of China, Thailand has 10% risk of importing a 2019-nCoV-infected person from China.
T146 1014-1206 Sentence denotes Outside China, the countries with the highest risk of 2019-nCoV transmission from our model were Thailand, Cambodia, Malaysia, Canada and the USA, all of which have reported at least one case.
T147 1207-1433 Sentence denotes Among the top 25 countries identified with the highest risk of 2019-nCoV transmission (Fig. 2), all countries except four (Indonesia, Turkey, Pakistan and Qatar) have detected at least one case as of 5 February 2020 (Table 1).
T148 1434-1441 Sentence denotes Fig. 2.
T149 1442-1557 Sentence denotes Chart showing the relative risk of countries outside China being exposed to coronavirus ( SARS-COV-2) transmission.
T150 1558-1667 Sentence denotes The second Y-axis indicates the number of confirmed COVID-19 cases reported by the WHO as of 5 February 2020.
T151 1668-1813 Sentence denotes Twenty-one of the top 25 at-risk countries (except Indonesia, Turkey, Pakistan and Qatar) reported at least one COVID-19 case by 5 February 2020.
T152 1814-2109 Sentence denotes According to our risk score classification, of the countries that reported at least one 2019-nCoV case as of 5 February 2020, 24 countries were in the 4th quantile of the risk index, two (Sweden and Belgium) in the 3rd quantile, one (Nepal) in the 2nd quantile and none in the 1st quantile [14].
T153 2110-2314 Sentence denotes Asian and European countries are dominant in the 3rd and 4th quantile (high-risk index) while African and South American Countries are the majority in the 1st and 2nd quantiles (low-risk index) (Table 1).
T154 2315-2477 Sentence denotes Out of 43 countries in the 4th quantile, 22 were from Asia and 13 from Pan-Europe, whereas in the 1st quantile, 19 out of 42 countries were from Africa (Table 1).
T155 2478-2543 Sentence denotes The overall risk of transmission of the virus into Africa is low.
T156 2544-2673 Sentence denotes However, Ethiopia, South Africa, Egypt and Mauritius have a similar risk score as countries where at least one case was detected.
T157 2674-2775 Sentence denotes In South America, only Brazil has a similar or greater risk than countries currently reporting cases.
T158 2776-2887 Sentence denotes In North America, both the USA and Canada have high risk and had imported cases reported early in the outbreak.
T159 2888-2985 Sentence denotes Australia and New Zealand have risk similar to the countries where at least one case is detected.
T160 2986-3171 Sentence denotes Although there are few direct flights from China to African destinations, a large number of indirect flights operate via Dubai, an international airport hub in the United Arab Emirates.
T161 3172-3296 Sentence denotes The correlation coefficient between the estimated risk index of the countries and the WHO-reported confirmed cases was 0.97.