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PMC:7796148 / 5450-6810 JSONTXT

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LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
97 49-57 Disease denotes COVID-19 MESH:C000657245

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T46 0-104 Sentence denotes Italy was one of the first countries to face the COVID-19 emergency and in an especially intense manner.
T47 105-185 Sentence denotes In China, the city of Wuhan was put under quarantine on the 9th of January 2020.
T48 186-311 Sentence denotes Already on/by the 21st of February 16 cases were confirmed in Lombardia and two in Veneto (two Italian regions in the North).
T49 312-412 Sentence denotes Cases grew quickly leading to shortfalls of hospital beds, especially in intensive care units (ICU).
T50 413-494 Sentence denotes The impact on the individual, social, and economic life in Italy was significant.
T51 495-576 Sentence denotes In Italy, as in other countries, the pandemic did not affect all regions equally.
T52 577-621 Sentence denotes Thus, national statistics can be misleading.
T53 622-802 Sentence denotes An analysis by region is important for at least two reasons: first, the north of Italy is divided in eight regions but there are large differences in the impact even between these.
T54 803-1094 Sentence denotes Second, in Italy the national health service has a regional structure, and different measures were taken by different regions, (e.g., different testing effort, quarantine policy, individual mobilities, the progression of social distancing, and local capacity of medical infrastructure) [15].
T55 1095-1145 Sentence denotes Third, the timeline of the virus varied by region.
T56 1146-1247 Sentence denotes Lombardia was the first region to be affected and remained also the region with most cases over time.
T57 1248-1360 Sentence denotes This is a wealthy region with high population density and its capital Milan is the second largest city in Italy.