PMC:7510993 / 15160-16198 JSONTXT

{"project":"LitCovid-PD-FMA-UBERON","denotations":[{"id":"T6","span":{"begin":941,"end":944},"obj":"Body_part"}],"attributes":[{"id":"A6","pred":"fma_id","subj":"T6","obj":"http://purl.org/sig/ont/fma/fma67847"}],"text":"Fig 3 Patterns for the cumulative number of COVID-19 cases (per 1 million population) in relation to country type.\nBased on the pattern of increasing COFVID-19 case numbers, individual countries were classified into four types (A–D): (A) Type A, countries that had a peak in the number of COVID-19 cases per week before the middle of April and had more than 1,000 COVID-19 cases per 1 million population; (B) type B, countries that exhibited an increase in the number of COVID-19 cases per week after the middle of June and had more than 1,000 COVID-19 cases per 1 million population; (C) type C, countries that had a peak in the number of COVID-19 cases per week before the middle of April and had less than 1,000 COVID-19 cases per 1 million population; (D) type D, countries that exhibited an increase in the number of COVID-19 cases per week after the middle of June and had less than 1,000 COVID-19 cases per 1 million population. The map was prepared using shapefile reprinted from a freely available database (GADM; www.gadm.org)."}

{"project":"LitCovid-PD-MONDO","denotations":[{"id":"T82","span":{"begin":45,"end":53},"obj":"Disease"},{"id":"T83","span":{"begin":290,"end":298},"obj":"Disease"},{"id":"T84","span":{"begin":365,"end":373},"obj":"Disease"},{"id":"T85","span":{"begin":472,"end":480},"obj":"Disease"},{"id":"T86","span":{"begin":545,"end":553},"obj":"Disease"},{"id":"T87","span":{"begin":641,"end":649},"obj":"Disease"},{"id":"T88","span":{"begin":716,"end":724},"obj":"Disease"},{"id":"T89","span":{"begin":823,"end":831},"obj":"Disease"},{"id":"T90","span":{"begin":896,"end":904},"obj":"Disease"}],"attributes":[{"id":"A82","pred":"mondo_id","subj":"T82","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"},{"id":"A83","pred":"mondo_id","subj":"T83","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"},{"id":"A84","pred":"mondo_id","subj":"T84","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"},{"id":"A85","pred":"mondo_id","subj":"T85","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"},{"id":"A86","pred":"mondo_id","subj":"T86","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"},{"id":"A87","pred":"mondo_id","subj":"T87","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"},{"id":"A88","pred":"mondo_id","subj":"T88","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"},{"id":"A89","pred":"mondo_id","subj":"T89","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"},{"id":"A90","pred":"mondo_id","subj":"T90","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"}],"text":"Fig 3 Patterns for the cumulative number of COVID-19 cases (per 1 million population) in relation to country type.\nBased on the pattern of increasing COFVID-19 case numbers, individual countries were classified into four types (A–D): (A) Type A, countries that had a peak in the number of COVID-19 cases per week before the middle of April and had more than 1,000 COVID-19 cases per 1 million population; (B) type B, countries that exhibited an increase in the number of COVID-19 cases per week after the middle of June and had more than 1,000 COVID-19 cases per 1 million population; (C) type C, countries that had a peak in the number of COVID-19 cases per week before the middle of April and had less than 1,000 COVID-19 cases per 1 million population; (D) type D, countries that exhibited an increase in the number of COVID-19 cases per week after the middle of June and had less than 1,000 COVID-19 cases per 1 million population. The map was prepared using shapefile reprinted from a freely available database (GADM; www.gadm.org)."}

{"project":"LitCovid-PD-CLO","denotations":[{"id":"T67","span":{"begin":229,"end":230},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"},{"id":"T68","span":{"begin":231,"end":237},"obj":"http://www.ebi.ac.uk/efo/EFO_0000265"},{"id":"T69","span":{"begin":244,"end":245},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"},{"id":"T70","span":{"begin":266,"end":267},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"},{"id":"T71","span":{"begin":407,"end":408},"obj":"http://purl.obolibrary.org/obo/CLO_0001021"},{"id":"T72","span":{"begin":415,"end":416},"obj":"http://purl.obolibrary.org/obo/CLO_0001021"},{"id":"T73","span":{"begin":617,"end":618},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"},{"id":"T74","span":{"begin":989,"end":990},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"}],"text":"Fig 3 Patterns for the cumulative number of COVID-19 cases (per 1 million population) in relation to country type.\nBased on the pattern of increasing COFVID-19 case numbers, individual countries were classified into four types (A–D): (A) Type A, countries that had a peak in the number of COVID-19 cases per week before the middle of April and had more than 1,000 COVID-19 cases per 1 million population; (B) type B, countries that exhibited an increase in the number of COVID-19 cases per week after the middle of June and had more than 1,000 COVID-19 cases per 1 million population; (C) type C, countries that had a peak in the number of COVID-19 cases per week before the middle of April and had less than 1,000 COVID-19 cases per 1 million population; (D) type D, countries that exhibited an increase in the number of COVID-19 cases per week after the middle of June and had less than 1,000 COVID-19 cases per 1 million population. The map was prepared using shapefile reprinted from a freely available database (GADM; www.gadm.org)."}

{"project":"LitCovid-PubTator","denotations":[{"id":"215","span":{"begin":45,"end":53},"obj":"Disease"},{"id":"224","span":{"begin":290,"end":298},"obj":"Disease"},{"id":"225","span":{"begin":365,"end":373},"obj":"Disease"},{"id":"226","span":{"begin":472,"end":480},"obj":"Disease"},{"id":"227","span":{"begin":545,"end":553},"obj":"Disease"},{"id":"228","span":{"begin":641,"end":649},"obj":"Disease"},{"id":"229","span":{"begin":716,"end":724},"obj":"Disease"},{"id":"230","span":{"begin":823,"end":831},"obj":"Disease"},{"id":"231","span":{"begin":896,"end":904},"obj":"Disease"}],"attributes":[{"id":"A215","pred":"tao:has_database_id","subj":"215","obj":"MESH:C000657245"},{"id":"A224","pred":"tao:has_database_id","subj":"224","obj":"MESH:C000657245"},{"id":"A225","pred":"tao:has_database_id","subj":"225","obj":"MESH:C000657245"},{"id":"A226","pred":"tao:has_database_id","subj":"226","obj":"MESH:C000657245"},{"id":"A227","pred":"tao:has_database_id","subj":"227","obj":"MESH:C000657245"},{"id":"A228","pred":"tao:has_database_id","subj":"228","obj":"MESH:C000657245"},{"id":"A229","pred":"tao:has_database_id","subj":"229","obj":"MESH:C000657245"},{"id":"A230","pred":"tao:has_database_id","subj":"230","obj":"MESH:C000657245"},{"id":"A231","pred":"tao:has_database_id","subj":"231","obj":"MESH:C000657245"}],"namespaces":[{"prefix":"Tax","uri":"https://www.ncbi.nlm.nih.gov/taxonomy/"},{"prefix":"MESH","uri":"https://id.nlm.nih.gov/mesh/"},{"prefix":"Gene","uri":"https://www.ncbi.nlm.nih.gov/gene/"},{"prefix":"CVCL","uri":"https://web.expasy.org/cellosaurus/CVCL_"}],"text":"Fig 3 Patterns for the cumulative number of COVID-19 cases (per 1 million population) in relation to country type.\nBased on the pattern of increasing COFVID-19 case numbers, individual countries were classified into four types (A–D): (A) Type A, countries that had a peak in the number of COVID-19 cases per week before the middle of April and had more than 1,000 COVID-19 cases per 1 million population; (B) type B, countries that exhibited an increase in the number of COVID-19 cases per week after the middle of June and had more than 1,000 COVID-19 cases per 1 million population; (C) type C, countries that had a peak in the number of COVID-19 cases per week before the middle of April and had less than 1,000 COVID-19 cases per 1 million population; (D) type D, countries that exhibited an increase in the number of COVID-19 cases per week after the middle of June and had less than 1,000 COVID-19 cases per 1 million population. The map was prepared using shapefile reprinted from a freely available database (GADM; www.gadm.org)."}

{"project":"LitCovid-sentences","denotations":[{"id":"T79","span":{"begin":0,"end":115},"obj":"Sentence"},{"id":"T80","span":{"begin":116,"end":936},"obj":"Sentence"},{"id":"T81","span":{"begin":937,"end":1038},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"Fig 3 Patterns for the cumulative number of COVID-19 cases (per 1 million population) in relation to country type.\nBased on the pattern of increasing COFVID-19 case numbers, individual countries were classified into four types (A–D): (A) Type A, countries that had a peak in the number of COVID-19 cases per week before the middle of April and had more than 1,000 COVID-19 cases per 1 million population; (B) type B, countries that exhibited an increase in the number of COVID-19 cases per week after the middle of June and had more than 1,000 COVID-19 cases per 1 million population; (C) type C, countries that had a peak in the number of COVID-19 cases per week before the middle of April and had less than 1,000 COVID-19 cases per 1 million population; (D) type D, countries that exhibited an increase in the number of COVID-19 cases per week after the middle of June and had less than 1,000 COVID-19 cases per 1 million population. The map was prepared using shapefile reprinted from a freely available database (GADM; www.gadm.org)."}