PMC:7545501 / 25089-26378 JSONTXT

{"project":"LitCovid-PD-MONDO","denotations":[{"id":"T24","span":{"begin":99,"end":107},"obj":"Disease"}],"attributes":[{"id":"A24","pred":"mondo_id","subj":"T24","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"}],"text":"Some researchers have turned to the GHS Index to elucidate observed between-country disparities in COVID-19-associated morbidity, mortality and case fatality estimates.4 30 33 36 However, drawing simple correlations with countries’ overall scores does not account for the fact that these scores are meant to capture capacities spanning the breadth of the health security life cycle, from outbreak prevention at the source, to early detection, to rapid response. In other words, overall scores summarise country capacities across all categories. However, countries with high overall scores may still have low category-level, indicator-level and sub-indicator-level scores that more strongly influence outbreak-associated outcomes. Therefore, we encourage users wishing to analyse correlations between country scores and health outcomes to examine scores at more granular levels, adjust model weights to reflect country contexts and priorities and consider more nuanced outcomes when analysing countries’ performances during outbreaks. For example, users might examine relationships between category 2 (detection) scores and the number of misidentified or under-reported cases in a given country, rather than examining correlations between countries’ overall scores and absolute case counts."}

{"project":"LitCovid-PD-CLO","denotations":[{"id":"T84","span":{"begin":176,"end":178},"obj":"http://purl.obolibrary.org/obo/CLO_0001313"},{"id":"T85","span":{"begin":760,"end":767},"obj":"http://purl.obolibrary.org/obo/CLO_0009609"},{"id":"T86","span":{"begin":1178,"end":1179},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"}],"text":"Some researchers have turned to the GHS Index to elucidate observed between-country disparities in COVID-19-associated morbidity, mortality and case fatality estimates.4 30 33 36 However, drawing simple correlations with countries’ overall scores does not account for the fact that these scores are meant to capture capacities spanning the breadth of the health security life cycle, from outbreak prevention at the source, to early detection, to rapid response. In other words, overall scores summarise country capacities across all categories. However, countries with high overall scores may still have low category-level, indicator-level and sub-indicator-level scores that more strongly influence outbreak-associated outcomes. Therefore, we encourage users wishing to analyse correlations between country scores and health outcomes to examine scores at more granular levels, adjust model weights to reflect country contexts and priorities and consider more nuanced outcomes when analysing countries’ performances during outbreaks. For example, users might examine relationships between category 2 (detection) scores and the number of misidentified or under-reported cases in a given country, rather than examining correlations between countries’ overall scores and absolute case counts."}

{"project":"LitCovid-PD-CHEBI","denotations":[{"id":"T20","span":{"begin":624,"end":633},"obj":"Chemical"},{"id":"T21","span":{"begin":648,"end":657},"obj":"Chemical"}],"attributes":[{"id":"A20","pred":"chebi_id","subj":"T20","obj":"http://purl.obolibrary.org/obo/CHEBI_47867"},{"id":"A21","pred":"chebi_id","subj":"T21","obj":"http://purl.obolibrary.org/obo/CHEBI_47867"}],"text":"Some researchers have turned to the GHS Index to elucidate observed between-country disparities in COVID-19-associated morbidity, mortality and case fatality estimates.4 30 33 36 However, drawing simple correlations with countries’ overall scores does not account for the fact that these scores are meant to capture capacities spanning the breadth of the health security life cycle, from outbreak prevention at the source, to early detection, to rapid response. In other words, overall scores summarise country capacities across all categories. However, countries with high overall scores may still have low category-level, indicator-level and sub-indicator-level scores that more strongly influence outbreak-associated outcomes. Therefore, we encourage users wishing to analyse correlations between country scores and health outcomes to examine scores at more granular levels, adjust model weights to reflect country contexts and priorities and consider more nuanced outcomes when analysing countries’ performances during outbreaks. For example, users might examine relationships between category 2 (detection) scores and the number of misidentified or under-reported cases in a given country, rather than examining correlations between countries’ overall scores and absolute case counts."}

{"project":"LitCovid-sentences","denotations":[{"id":"T110","span":{"begin":0,"end":461},"obj":"Sentence"},{"id":"T111","span":{"begin":462,"end":544},"obj":"Sentence"},{"id":"T112","span":{"begin":545,"end":729},"obj":"Sentence"},{"id":"T113","span":{"begin":730,"end":1033},"obj":"Sentence"},{"id":"T114","span":{"begin":1034,"end":1289},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"Some researchers have turned to the GHS Index to elucidate observed between-country disparities in COVID-19-associated morbidity, mortality and case fatality estimates.4 30 33 36 However, drawing simple correlations with countries’ overall scores does not account for the fact that these scores are meant to capture capacities spanning the breadth of the health security life cycle, from outbreak prevention at the source, to early detection, to rapid response. In other words, overall scores summarise country capacities across all categories. However, countries with high overall scores may still have low category-level, indicator-level and sub-indicator-level scores that more strongly influence outbreak-associated outcomes. Therefore, we encourage users wishing to analyse correlations between country scores and health outcomes to examine scores at more granular levels, adjust model weights to reflect country contexts and priorities and consider more nuanced outcomes when analysing countries’ performances during outbreaks. For example, users might examine relationships between category 2 (detection) scores and the number of misidentified or under-reported cases in a given country, rather than examining correlations between countries’ overall scores and absolute case counts."}

{"project":"LitCovid-PubTator","denotations":[{"id":"86","span":{"begin":99,"end":107},"obj":"Disease"},{"id":"87","span":{"begin":130,"end":139},"obj":"Disease"}],"attributes":[{"id":"A86","pred":"tao:has_database_id","subj":"86","obj":"MESH:C000657245"},{"id":"A87","pred":"tao:has_database_id","subj":"87","obj":"MESH:D003643"}],"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":"Some researchers have turned to the GHS Index to elucidate observed between-country disparities in COVID-19-associated morbidity, mortality and case fatality estimates.4 30 33 36 However, drawing simple correlations with countries’ overall scores does not account for the fact that these scores are meant to capture capacities spanning the breadth of the health security life cycle, from outbreak prevention at the source, to early detection, to rapid response. In other words, overall scores summarise country capacities across all categories. However, countries with high overall scores may still have low category-level, indicator-level and sub-indicator-level scores that more strongly influence outbreak-associated outcomes. Therefore, we encourage users wishing to analyse correlations between country scores and health outcomes to examine scores at more granular levels, adjust model weights to reflect country contexts and priorities and consider more nuanced outcomes when analysing countries’ performances during outbreaks. For example, users might examine relationships between category 2 (detection) scores and the number of misidentified or under-reported cases in a given country, rather than examining correlations between countries’ overall scores and absolute case counts."}