PMC:7510993 / 28363-29613 JSONTXT

{"project":"LitCovid-PD-MONDO","denotations":[{"id":"T162","span":{"begin":43,"end":51},"obj":"Disease"},{"id":"T163","span":{"begin":83,"end":92},"obj":"Disease"},{"id":"T164","span":{"begin":283,"end":291},"obj":"Disease"},{"id":"T165","span":{"begin":323,"end":332},"obj":"Disease"},{"id":"T166","span":{"begin":468,"end":476},"obj":"Disease"},{"id":"T167","span":{"begin":508,"end":517},"obj":"Disease"},{"id":"T168","span":{"begin":716,"end":724},"obj":"Disease"},{"id":"T169","span":{"begin":756,"end":765},"obj":"Disease"},{"id":"T170","span":{"begin":904,"end":911},"obj":"Disease"},{"id":"T171","span":{"begin":998,"end":1006},"obj":"Disease"},{"id":"T172","span":{"begin":1170,"end":1178},"obj":"Disease"}],"attributes":[{"id":"A162","pred":"mondo_id","subj":"T162","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"},{"id":"A163","pred":"mondo_id","subj":"T163","obj":"http://purl.obolibrary.org/obo/MONDO_0005550"},{"id":"A164","pred":"mondo_id","subj":"T164","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"},{"id":"A165","pred":"mondo_id","subj":"T165","obj":"http://purl.obolibrary.org/obo/MONDO_0005550"},{"id":"A166","pred":"mondo_id","subj":"T166","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"},{"id":"A167","pred":"mondo_id","subj":"T167","obj":"http://purl.obolibrary.org/obo/MONDO_0005550"},{"id":"A168","pred":"mondo_id","subj":"T168","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"},{"id":"A169","pred":"mondo_id","subj":"T169","obj":"http://purl.obolibrary.org/obo/MONDO_0005550"},{"id":"A170","pred":"mondo_id","subj":"T170","obj":"http://purl.obolibrary.org/obo/MONDO_0005136"},{"id":"A171","pred":"mondo_id","subj":"T171","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"},{"id":"A172","pred":"mondo_id","subj":"T172","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"}],"text":"The type A countries, with more than 1,000 COVID-19 cases per million in which the infection peaked before mid-April, were mostly the developed countries that had predominant cross-border human mobility in relatively cool and dry climates. The type B countries, with more than 1,000 COVID-19 cases per million in which the infection spread peaked after mid-June, were quasi-developed countries with BCG vaccination programs. The type C countries, with less than 1,000 COVID-19 cases per million in which the infection peaked before mid-April, were countries with high temperature and humidity that are characterized by lower cross-border mobility and more BCG vaccination. The type D countries, with less than 1,000 COVID-19 cases per million in which the infection spread peaked after mid-June, were mostly tropical developing countries with lower population density, less cross-border mobility, higher malaria incidence, and less BCG vaccination. These country-specific factors indicate that the COVID-19 spread is not simply driven by specific environmental variables, and the underlying mechanisms are complicated (Table 1). Therefore, evaluating the drivers of the COVID-19 spread at the present phase of disease expansion is a challenging task."}

{"project":"LitCovid-PD-CLO","denotations":[{"id":"T157","span":{"begin":9,"end":10},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"},{"id":"T158","span":{"begin":188,"end":193},"obj":"http://purl.obolibrary.org/obo/NCBITaxon_9606"},{"id":"T159","span":{"begin":249,"end":250},"obj":"http://purl.obolibrary.org/obo/CLO_0001021"},{"id":"T160","span":{"begin":1231,"end":1232},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"}],"text":"The type A countries, with more than 1,000 COVID-19 cases per million in which the infection peaked before mid-April, were mostly the developed countries that had predominant cross-border human mobility in relatively cool and dry climates. The type B countries, with more than 1,000 COVID-19 cases per million in which the infection spread peaked after mid-June, were quasi-developed countries with BCG vaccination programs. The type C countries, with less than 1,000 COVID-19 cases per million in which the infection peaked before mid-April, were countries with high temperature and humidity that are characterized by lower cross-border mobility and more BCG vaccination. The type D countries, with less than 1,000 COVID-19 cases per million in which the infection spread peaked after mid-June, were mostly tropical developing countries with lower population density, less cross-border mobility, higher malaria incidence, and less BCG vaccination. These country-specific factors indicate that the COVID-19 spread is not simply driven by specific environmental variables, and the underlying mechanisms are complicated (Table 1). Therefore, evaluating the drivers of the COVID-19 spread at the present phase of disease expansion is a challenging task."}

{"project":"LitCovid-PD-CHEBI","denotations":[{"id":"T72","span":{"begin":399,"end":402},"obj":"Chemical"},{"id":"T73","span":{"begin":656,"end":659},"obj":"Chemical"},{"id":"T74","span":{"begin":932,"end":935},"obj":"Chemical"}],"attributes":[{"id":"A72","pred":"chebi_id","subj":"T72","obj":"http://purl.obolibrary.org/obo/CHEBI_41001"},{"id":"A73","pred":"chebi_id","subj":"T73","obj":"http://purl.obolibrary.org/obo/CHEBI_41001"},{"id":"A74","pred":"chebi_id","subj":"T74","obj":"http://purl.obolibrary.org/obo/CHEBI_41001"}],"text":"The type A countries, with more than 1,000 COVID-19 cases per million in which the infection peaked before mid-April, were mostly the developed countries that had predominant cross-border human mobility in relatively cool and dry climates. The type B countries, with more than 1,000 COVID-19 cases per million in which the infection spread peaked after mid-June, were quasi-developed countries with BCG vaccination programs. The type C countries, with less than 1,000 COVID-19 cases per million in which the infection peaked before mid-April, were countries with high temperature and humidity that are characterized by lower cross-border mobility and more BCG vaccination. The type D countries, with less than 1,000 COVID-19 cases per million in which the infection spread peaked after mid-June, were mostly tropical developing countries with lower population density, less cross-border mobility, higher malaria incidence, and less BCG vaccination. These country-specific factors indicate that the COVID-19 spread is not simply driven by specific environmental variables, and the underlying mechanisms are complicated (Table 1). Therefore, evaluating the drivers of the COVID-19 spread at the present phase of disease expansion is a challenging task."}

{"project":"LitCovid-PubTator","denotations":[{"id":"433","span":{"begin":188,"end":193},"obj":"Species"},{"id":"434","span":{"begin":399,"end":402},"obj":"Species"},{"id":"435","span":{"begin":656,"end":659},"obj":"Species"},{"id":"436","span":{"begin":932,"end":935},"obj":"Species"},{"id":"437","span":{"begin":43,"end":51},"obj":"Disease"},{"id":"438","span":{"begin":83,"end":92},"obj":"Disease"},{"id":"439","span":{"begin":283,"end":291},"obj":"Disease"},{"id":"440","span":{"begin":323,"end":332},"obj":"Disease"},{"id":"441","span":{"begin":468,"end":476},"obj":"Disease"},{"id":"442","span":{"begin":508,"end":517},"obj":"Disease"},{"id":"443","span":{"begin":716,"end":724},"obj":"Disease"},{"id":"444","span":{"begin":756,"end":765},"obj":"Disease"},{"id":"445","span":{"begin":904,"end":911},"obj":"Disease"},{"id":"446","span":{"begin":998,"end":1006},"obj":"Disease"},{"id":"447","span":{"begin":1170,"end":1178},"obj":"Disease"}],"attributes":[{"id":"A433","pred":"tao:has_database_id","subj":"433","obj":"Tax:9606"},{"id":"A434","pred":"tao:has_database_id","subj":"434","obj":"Tax:33892"},{"id":"A435","pred":"tao:has_database_id","subj":"435","obj":"Tax:33892"},{"id":"A436","pred":"tao:has_database_id","subj":"436","obj":"Tax:33892"},{"id":"A437","pred":"tao:has_database_id","subj":"437","obj":"MESH:C000657245"},{"id":"A438","pred":"tao:has_database_id","subj":"438","obj":"MESH:D007239"},{"id":"A439","pred":"tao:has_database_id","subj":"439","obj":"MESH:C000657245"},{"id":"A440","pred":"tao:has_database_id","subj":"440","obj":"MESH:D007239"},{"id":"A441","pred":"tao:has_database_id","subj":"441","obj":"MESH:C000657245"},{"id":"A442","pred":"tao:has_database_id","subj":"442","obj":"MESH:D007239"},{"id":"A443","pred":"tao:has_database_id","subj":"443","obj":"MESH:C000657245"},{"id":"A444","pred":"tao:has_database_id","subj":"444","obj":"MESH:D007239"},{"id":"A445","pred":"tao:has_database_id","subj":"445","obj":"MESH:D008288"},{"id":"A446","pred":"tao:has_database_id","subj":"446","obj":"MESH:C000657245"},{"id":"A447","pred":"tao:has_database_id","subj":"447","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":"The type A countries, with more than 1,000 COVID-19 cases per million in which the infection peaked before mid-April, were mostly the developed countries that had predominant cross-border human mobility in relatively cool and dry climates. The type B countries, with more than 1,000 COVID-19 cases per million in which the infection spread peaked after mid-June, were quasi-developed countries with BCG vaccination programs. The type C countries, with less than 1,000 COVID-19 cases per million in which the infection peaked before mid-April, were countries with high temperature and humidity that are characterized by lower cross-border mobility and more BCG vaccination. The type D countries, with less than 1,000 COVID-19 cases per million in which the infection spread peaked after mid-June, were mostly tropical developing countries with lower population density, less cross-border mobility, higher malaria incidence, and less BCG vaccination. These country-specific factors indicate that the COVID-19 spread is not simply driven by specific environmental variables, and the underlying mechanisms are complicated (Table 1). Therefore, evaluating the drivers of the COVID-19 spread at the present phase of disease expansion is a challenging task."}

{"project":"LitCovid-sentences","denotations":[{"id":"T147","span":{"begin":240,"end":424},"obj":"Sentence"},{"id":"T148","span":{"begin":425,"end":672},"obj":"Sentence"},{"id":"T149","span":{"begin":673,"end":948},"obj":"Sentence"},{"id":"T150","span":{"begin":949,"end":1128},"obj":"Sentence"},{"id":"T151","span":{"begin":1129,"end":1250},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"The type A countries, with more than 1,000 COVID-19 cases per million in which the infection peaked before mid-April, were mostly the developed countries that had predominant cross-border human mobility in relatively cool and dry climates. The type B countries, with more than 1,000 COVID-19 cases per million in which the infection spread peaked after mid-June, were quasi-developed countries with BCG vaccination programs. The type C countries, with less than 1,000 COVID-19 cases per million in which the infection peaked before mid-April, were countries with high temperature and humidity that are characterized by lower cross-border mobility and more BCG vaccination. The type D countries, with less than 1,000 COVID-19 cases per million in which the infection spread peaked after mid-June, were mostly tropical developing countries with lower population density, less cross-border mobility, higher malaria incidence, and less BCG vaccination. These country-specific factors indicate that the COVID-19 spread is not simply driven by specific environmental variables, and the underlying mechanisms are complicated (Table 1). Therefore, evaluating the drivers of the COVID-19 spread at the present phase of disease expansion is a challenging task."}