PMC:7499763 JSONTXT

{"project":"LitCovid-PD-FMA-UBERON","denotations":[{"id":"T1","span":{"begin":868,"end":874},"obj":"Body_part"}],"attributes":[{"id":"A1","pred":"fma_id","subj":"T1","obj":"http://purl.org/sig/ont/fma/fma264279"}],"text":"Health equity considerations in COVID-19: geospatial network analysis of the COVID-19 outbreak in the migrant population in Singapore\n\nAbstract\nAbstract\n\nBackground\nLow-wage dormitory-dwelling migrant workers in Singapore were disproportionately affected by coronavirus disease 2019 (COVID-19) infection. This was attributed to communal living in high-density and unhygienic dormitory settings and a lack of inclusive protection systems. However, little is known about the roles of social and geospatial networks in COVID-19 transmission. The study examined the networks of nonwork-related activities among migrant workers to inform the development of lockdown exit strategies and future pandemic preparedness.\n\nMethods\nA population-based survey was conducted with 509 migrant workers across the nation, and it assessed dormitory attributes, social ties, physical and mental health status, COVID-19-related variables, and mobility patterns using a grid-based network questionnaire. Mobility paths from dormitories were presented based on purposes of visit. Two-mode social networks examined the structures and positions of networks between workers and visit areas with individual attributes.\n\nResults\nCOVID-19 risk exposure was associated with the density of dormitory, social ties, and visit areas. The migrant worker hub in the city center was the most frequently visited for essential services of grocery shopping and remittance, followed by southcentral areas mainly for social gathering. The hub was positioned as the core with the highest degree of centrality with a cluster of workers exposed to COVID-19.\n\nConclusions\nSocial and geospatial networks of migrant workers should be considered in the implementation of lockdown exit strategies while addressing the improvement of living conditions and monitoring systems. Essential services, like remittance and grocery shopping at affordable prices, need to be provided near to dormitories to minimize excess gatherings.\n\n"}

{"project":"LitCovid-PD-MONDO","denotations":[{"id":"T1","span":{"begin":32,"end":40},"obj":"Disease"},{"id":"T2","span":{"begin":77,"end":85},"obj":"Disease"},{"id":"T3","span":{"begin":258,"end":282},"obj":"Disease"},{"id":"T4","span":{"begin":284,"end":292},"obj":"Disease"},{"id":"T5","span":{"begin":294,"end":303},"obj":"Disease"},{"id":"T6","span":{"begin":516,"end":524},"obj":"Disease"},{"id":"T7","span":{"begin":890,"end":898},"obj":"Disease"},{"id":"T8","span":{"begin":1201,"end":1209},"obj":"Disease"},{"id":"T9","span":{"begin":1603,"end":1611},"obj":"Disease"}],"attributes":[{"id":"A1","pred":"mondo_id","subj":"T1","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"},{"id":"A2","pred":"mondo_id","subj":"T2","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"},{"id":"A3","pred":"mondo_id","subj":"T3","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"},{"id":"A4","pred":"mondo_id","subj":"T4","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"},{"id":"A5","pred":"mondo_id","subj":"T5","obj":"http://purl.obolibrary.org/obo/MONDO_0005550"},{"id":"A6","pred":"mondo_id","subj":"T6","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"},{"id":"A7","pred":"mondo_id","subj":"T7","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"},{"id":"A8","pred":"mondo_id","subj":"T8","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"},{"id":"A9","pred":"mondo_id","subj":"T9","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"}],"text":"Health equity considerations in COVID-19: geospatial network analysis of the COVID-19 outbreak in the migrant population in Singapore\n\nAbstract\nAbstract\n\nBackground\nLow-wage dormitory-dwelling migrant workers in Singapore were disproportionately affected by coronavirus disease 2019 (COVID-19) infection. This was attributed to communal living in high-density and unhygienic dormitory settings and a lack of inclusive protection systems. However, little is known about the roles of social and geospatial networks in COVID-19 transmission. The study examined the networks of nonwork-related activities among migrant workers to inform the development of lockdown exit strategies and future pandemic preparedness.\n\nMethods\nA population-based survey was conducted with 509 migrant workers across the nation, and it assessed dormitory attributes, social ties, physical and mental health status, COVID-19-related variables, and mobility patterns using a grid-based network questionnaire. Mobility paths from dormitories were presented based on purposes of visit. Two-mode social networks examined the structures and positions of networks between workers and visit areas with individual attributes.\n\nResults\nCOVID-19 risk exposure was associated with the density of dormitory, social ties, and visit areas. The migrant worker hub in the city center was the most frequently visited for essential services of grocery shopping and remittance, followed by southcentral areas mainly for social gathering. The hub was positioned as the core with the highest degree of centrality with a cluster of workers exposed to COVID-19.\n\nConclusions\nSocial and geospatial networks of migrant workers should be considered in the implementation of lockdown exit strategies while addressing the improvement of living conditions and monitoring systems. Essential services, like remittance and grocery shopping at affordable prices, need to be provided near to dormitories to minimize excess gatherings.\n\n"}

{"project":"LitCovid-PD-CLO","denotations":[{"id":"T1","span":{"begin":398,"end":399},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"},{"id":"T2","span":{"begin":590,"end":600},"obj":"http://purl.obolibrary.org/obo/CLO_0001658"},{"id":"T3","span":{"begin":720,"end":721},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"},{"id":"T4","span":{"begin":946,"end":947},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"},{"id":"T5","span":{"begin":1571,"end":1572},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"}],"text":"Health equity considerations in COVID-19: geospatial network analysis of the COVID-19 outbreak in the migrant population in Singapore\n\nAbstract\nAbstract\n\nBackground\nLow-wage dormitory-dwelling migrant workers in Singapore were disproportionately affected by coronavirus disease 2019 (COVID-19) infection. This was attributed to communal living in high-density and unhygienic dormitory settings and a lack of inclusive protection systems. However, little is known about the roles of social and geospatial networks in COVID-19 transmission. The study examined the networks of nonwork-related activities among migrant workers to inform the development of lockdown exit strategies and future pandemic preparedness.\n\nMethods\nA population-based survey was conducted with 509 migrant workers across the nation, and it assessed dormitory attributes, social ties, physical and mental health status, COVID-19-related variables, and mobility patterns using a grid-based network questionnaire. Mobility paths from dormitories were presented based on purposes of visit. Two-mode social networks examined the structures and positions of networks between workers and visit areas with individual attributes.\n\nResults\nCOVID-19 risk exposure was associated with the density of dormitory, social ties, and visit areas. The migrant worker hub in the city center was the most frequently visited for essential services of grocery shopping and remittance, followed by southcentral areas mainly for social gathering. The hub was positioned as the core with the highest degree of centrality with a cluster of workers exposed to COVID-19.\n\nConclusions\nSocial and geospatial networks of migrant workers should be considered in the implementation of lockdown exit strategies while addressing the improvement of living conditions and monitoring systems. Essential services, like remittance and grocery shopping at affordable prices, need to be provided near to dormitories to minimize excess gatherings.\n\n"}

{"project":"LitCovid-PubTator","denotations":[{"id":"2","span":{"begin":32,"end":40},"obj":"Disease"},{"id":"3","span":{"begin":77,"end":85},"obj":"Disease"},{"id":"8","span":{"begin":258,"end":282},"obj":"Disease"},{"id":"9","span":{"begin":284,"end":292},"obj":"Disease"},{"id":"10","span":{"begin":294,"end":303},"obj":"Disease"},{"id":"11","span":{"begin":516,"end":524},"obj":"Disease"},{"id":"13","span":{"begin":890,"end":898},"obj":"Disease"},{"id":"16","span":{"begin":1201,"end":1209},"obj":"Disease"},{"id":"17","span":{"begin":1603,"end":1611},"obj":"Disease"}],"attributes":[{"id":"A2","pred":"tao:has_database_id","subj":"2","obj":"MESH:C000657245"},{"id":"A3","pred":"tao:has_database_id","subj":"3","obj":"MESH:C000657245"},{"id":"A8","pred":"tao:has_database_id","subj":"8","obj":"MESH:C000657245"},{"id":"A9","pred":"tao:has_database_id","subj":"9","obj":"MESH:C000657245"},{"id":"A10","pred":"tao:has_database_id","subj":"10","obj":"MESH:D007239"},{"id":"A11","pred":"tao:has_database_id","subj":"11","obj":"MESH:C000657245"},{"id":"A13","pred":"tao:has_database_id","subj":"13","obj":"MESH:C000657245"},{"id":"A16","pred":"tao:has_database_id","subj":"16","obj":"MESH:C000657245"},{"id":"A17","pred":"tao:has_database_id","subj":"17","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":"Health equity considerations in COVID-19: geospatial network analysis of the COVID-19 outbreak in the migrant population in Singapore\n\nAbstract\nAbstract\n\nBackground\nLow-wage dormitory-dwelling migrant workers in Singapore were disproportionately affected by coronavirus disease 2019 (COVID-19) infection. This was attributed to communal living in high-density and unhygienic dormitory settings and a lack of inclusive protection systems. However, little is known about the roles of social and geospatial networks in COVID-19 transmission. The study examined the networks of nonwork-related activities among migrant workers to inform the development of lockdown exit strategies and future pandemic preparedness.\n\nMethods\nA population-based survey was conducted with 509 migrant workers across the nation, and it assessed dormitory attributes, social ties, physical and mental health status, COVID-19-related variables, and mobility patterns using a grid-based network questionnaire. Mobility paths from dormitories were presented based on purposes of visit. Two-mode social networks examined the structures and positions of networks between workers and visit areas with individual attributes.\n\nResults\nCOVID-19 risk exposure was associated with the density of dormitory, social ties, and visit areas. The migrant worker hub in the city center was the most frequently visited for essential services of grocery shopping and remittance, followed by southcentral areas mainly for social gathering. The hub was positioned as the core with the highest degree of centrality with a cluster of workers exposed to COVID-19.\n\nConclusions\nSocial and geospatial networks of migrant workers should be considered in the implementation of lockdown exit strategies while addressing the improvement of living conditions and monitoring systems. Essential services, like remittance and grocery shopping at affordable prices, need to be provided near to dormitories to minimize excess gatherings.\n\n"}

{"project":"LitCovid-sentences","denotations":[{"id":"T1","span":{"begin":0,"end":133},"obj":"Sentence"},{"id":"T2","span":{"begin":135,"end":143},"obj":"Sentence"},{"id":"T3","span":{"begin":144,"end":152},"obj":"Sentence"},{"id":"T4","span":{"begin":154,"end":164},"obj":"Sentence"},{"id":"T5","span":{"begin":165,"end":304},"obj":"Sentence"},{"id":"T6","span":{"begin":305,"end":437},"obj":"Sentence"},{"id":"T7","span":{"begin":438,"end":538},"obj":"Sentence"},{"id":"T8","span":{"begin":539,"end":710},"obj":"Sentence"},{"id":"T9","span":{"begin":712,"end":719},"obj":"Sentence"},{"id":"T10","span":{"begin":720,"end":981},"obj":"Sentence"},{"id":"T11","span":{"begin":982,"end":1056},"obj":"Sentence"},{"id":"T12","span":{"begin":1057,"end":1191},"obj":"Sentence"},{"id":"T13","span":{"begin":1193,"end":1200},"obj":"Sentence"},{"id":"T14","span":{"begin":1201,"end":1299},"obj":"Sentence"},{"id":"T15","span":{"begin":1300,"end":1492},"obj":"Sentence"},{"id":"T16","span":{"begin":1493,"end":1612},"obj":"Sentence"},{"id":"T17","span":{"begin":1614,"end":1625},"obj":"Sentence"},{"id":"T18","span":{"begin":1626,"end":1824},"obj":"Sentence"},{"id":"T19","span":{"begin":1825,"end":1974},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"Health equity considerations in COVID-19: geospatial network analysis of the COVID-19 outbreak in the migrant population in Singapore\n\nAbstract\nAbstract\n\nBackground\nLow-wage dormitory-dwelling migrant workers in Singapore were disproportionately affected by coronavirus disease 2019 (COVID-19) infection. This was attributed to communal living in high-density and unhygienic dormitory settings and a lack of inclusive protection systems. However, little is known about the roles of social and geospatial networks in COVID-19 transmission. The study examined the networks of nonwork-related activities among migrant workers to inform the development of lockdown exit strategies and future pandemic preparedness.\n\nMethods\nA population-based survey was conducted with 509 migrant workers across the nation, and it assessed dormitory attributes, social ties, physical and mental health status, COVID-19-related variables, and mobility patterns using a grid-based network questionnaire. Mobility paths from dormitories were presented based on purposes of visit. Two-mode social networks examined the structures and positions of networks between workers and visit areas with individual attributes.\n\nResults\nCOVID-19 risk exposure was associated with the density of dormitory, social ties, and visit areas. The migrant worker hub in the city center was the most frequently visited for essential services of grocery shopping and remittance, followed by southcentral areas mainly for social gathering. The hub was positioned as the core with the highest degree of centrality with a cluster of workers exposed to COVID-19.\n\nConclusions\nSocial and geospatial networks of migrant workers should be considered in the implementation of lockdown exit strategies while addressing the improvement of living conditions and monitoring systems. Essential services, like remittance and grocery shopping at affordable prices, need to be provided near to dormitories to minimize excess gatherings.\n\n"}