PMC:7229913 / 9636-12183
Annnotations
LitCovid-PD-FMA-UBERON
{"project":"LitCovid-PD-FMA-UBERON","denotations":[{"id":"T1","span":{"begin":1455,"end":1459},"obj":"Body_part"}],"attributes":[{"id":"A1","pred":"fma_id","subj":"T1","obj":"http://purl.org/sig/ont/fma/fma24728"}],"text":"Fig. 3 presents the time-series zonal distribution of daily COVID-19 cases and their dispersal trend. As shown in Fig. 3(a), the temperature zone (5 °C–15 °C) and the center of the fitted normal distribution curve of the zonal mean daily cumulative COVID-19 cases were coincident. The center of the zone denoting COVID-19 cases moved toward higher latitude along with the temperature zone. Notably, there was a breakpoint on March 14, 2020 due to the outbreak of COVID-19 in Europe. As a result, the center of the zone denoting COVID-19 cases switched to 42.39°N and its standard deviation became much smaller. Clearly, most of the cases (68.2%) of COVID-19 occurred at higher latitudes, spreading along a path where the temperature ranged from 5 °C to 15 °C. This finding confirms that air temperature truly affects the distribution of COVID-19. It is noteworthy that the COVID-19 pandemic has not spread to areas with high population densities. Hence, we predict that the center of the fitted normal distribution curve of zonal mean COVID-19 cases will continually move to higher latitudes along the temperature zone between 5 °C to 15 °C over time. Therefore, the scale of the COVID-19 pandemic will be substantially reduced in early May and might recur in large mid-latitude cities in autumn 2020. It is very important to pay more attention to places at higher latitudes. In addition, mid-latitude locations with higher population densities will also face the possibility of another COVID-19 outbreak in the autumn.\nFig. 3 (a) Relationship between cumulative cases of coronavirus disease 2019 (COVID-19) and temperatures from January 22, 2020 to May 6, 2020.\nThe orange zone represents the latitudinal zone with a mean surface temperature between 5 °C and 15 °C in 2019 according to a reanalysis of the National Centers for Environmental Prediction data. Blue lines (red points) represent the standard derivation (center) of the fitted normal distribution curve of zonal mean cumulative COVID-19 cases each day. The illustration is an example of the normal distribution fitted on March 13, 2020. Notably, daily COVID-19 cases in several countries such as China, the United States, and Canada were counted separately for each province. (b) Zonal mean of the gridded populations from 1980 to 2010 developed by the Center for Global Environmental Research at the National Institute for Environmental Studies, Japan. (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.)"}
LitCovid-PD-UBERON
{"project":"LitCovid-PD-UBERON","denotations":[{"id":"T1","span":{"begin":1167,"end":1172},"obj":"Body_part"},{"id":"T2","span":{"begin":1455,"end":1459},"obj":"Body_part"}],"attributes":[{"id":"A1","pred":"uberon_id","subj":"T1","obj":"http://purl.obolibrary.org/obo/UBERON_0002542"},{"id":"A2","pred":"uberon_id","subj":"T2","obj":"http://purl.obolibrary.org/obo/UBERON_0001456"}],"text":"Fig. 3 presents the time-series zonal distribution of daily COVID-19 cases and their dispersal trend. As shown in Fig. 3(a), the temperature zone (5 °C–15 °C) and the center of the fitted normal distribution curve of the zonal mean daily cumulative COVID-19 cases were coincident. The center of the zone denoting COVID-19 cases moved toward higher latitude along with the temperature zone. Notably, there was a breakpoint on March 14, 2020 due to the outbreak of COVID-19 in Europe. As a result, the center of the zone denoting COVID-19 cases switched to 42.39°N and its standard deviation became much smaller. Clearly, most of the cases (68.2%) of COVID-19 occurred at higher latitudes, spreading along a path where the temperature ranged from 5 °C to 15 °C. This finding confirms that air temperature truly affects the distribution of COVID-19. It is noteworthy that the COVID-19 pandemic has not spread to areas with high population densities. Hence, we predict that the center of the fitted normal distribution curve of zonal mean COVID-19 cases will continually move to higher latitudes along the temperature zone between 5 °C to 15 °C over time. Therefore, the scale of the COVID-19 pandemic will be substantially reduced in early May and might recur in large mid-latitude cities in autumn 2020. It is very important to pay more attention to places at higher latitudes. In addition, mid-latitude locations with higher population densities will also face the possibility of another COVID-19 outbreak in the autumn.\nFig. 3 (a) Relationship between cumulative cases of coronavirus disease 2019 (COVID-19) and temperatures from January 22, 2020 to May 6, 2020.\nThe orange zone represents the latitudinal zone with a mean surface temperature between 5 °C and 15 °C in 2019 according to a reanalysis of the National Centers for Environmental Prediction data. Blue lines (red points) represent the standard derivation (center) of the fitted normal distribution curve of zonal mean cumulative COVID-19 cases each day. The illustration is an example of the normal distribution fitted on March 13, 2020. Notably, daily COVID-19 cases in several countries such as China, the United States, and Canada were counted separately for each province. (b) Zonal mean of the gridded populations from 1980 to 2010 developed by the Center for Global Environmental Research at the National Institute for Environmental Studies, Japan. (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.)"}
LitCovid-PD-MONDO
{"project":"LitCovid-PD-MONDO","denotations":[{"id":"T58","span":{"begin":60,"end":68},"obj":"Disease"},{"id":"T59","span":{"begin":249,"end":257},"obj":"Disease"},{"id":"T60","span":{"begin":313,"end":321},"obj":"Disease"},{"id":"T61","span":{"begin":463,"end":471},"obj":"Disease"},{"id":"T62","span":{"begin":528,"end":536},"obj":"Disease"},{"id":"T63","span":{"begin":649,"end":657},"obj":"Disease"},{"id":"T64","span":{"begin":837,"end":845},"obj":"Disease"},{"id":"T65","span":{"begin":873,"end":881},"obj":"Disease"},{"id":"T66","span":{"begin":1035,"end":1043},"obj":"Disease"},{"id":"T67","span":{"begin":1180,"end":1188},"obj":"Disease"},{"id":"T68","span":{"begin":1487,"end":1495},"obj":"Disease"},{"id":"T69","span":{"begin":1572,"end":1596},"obj":"Disease"},{"id":"T70","span":{"begin":1598,"end":1606},"obj":"Disease"},{"id":"T71","span":{"begin":1991,"end":1999},"obj":"Disease"},{"id":"T72","span":{"begin":2115,"end":2123},"obj":"Disease"}],"attributes":[{"id":"A58","pred":"mondo_id","subj":"T58","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"},{"id":"A59","pred":"mondo_id","subj":"T59","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"},{"id":"A60","pred":"mondo_id","subj":"T60","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"},{"id":"A61","pred":"mondo_id","subj":"T61","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"},{"id":"A62","pred":"mondo_id","subj":"T62","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"},{"id":"A63","pred":"mondo_id","subj":"T63","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"},{"id":"A64","pred":"mondo_id","subj":"T64","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"},{"id":"A65","pred":"mondo_id","subj":"T65","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"},{"id":"A66","pred":"mondo_id","subj":"T66","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"},{"id":"A67","pred":"mondo_id","subj":"T67","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"},{"id":"A68","pred":"mondo_id","subj":"T68","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"},{"id":"A69","pred":"mondo_id","subj":"T69","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"},{"id":"A70","pred":"mondo_id","subj":"T70","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"},{"id":"A71","pred":"mondo_id","subj":"T71","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"},{"id":"A72","pred":"mondo_id","subj":"T72","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"}],"text":"Fig. 3 presents the time-series zonal distribution of daily COVID-19 cases and their dispersal trend. As shown in Fig. 3(a), the temperature zone (5 °C–15 °C) and the center of the fitted normal distribution curve of the zonal mean daily cumulative COVID-19 cases were coincident. The center of the zone denoting COVID-19 cases moved toward higher latitude along with the temperature zone. Notably, there was a breakpoint on March 14, 2020 due to the outbreak of COVID-19 in Europe. As a result, the center of the zone denoting COVID-19 cases switched to 42.39°N and its standard deviation became much smaller. Clearly, most of the cases (68.2%) of COVID-19 occurred at higher latitudes, spreading along a path where the temperature ranged from 5 °C to 15 °C. This finding confirms that air temperature truly affects the distribution of COVID-19. It is noteworthy that the COVID-19 pandemic has not spread to areas with high population densities. Hence, we predict that the center of the fitted normal distribution curve of zonal mean COVID-19 cases will continually move to higher latitudes along the temperature zone between 5 °C to 15 °C over time. Therefore, the scale of the COVID-19 pandemic will be substantially reduced in early May and might recur in large mid-latitude cities in autumn 2020. It is very important to pay more attention to places at higher latitudes. In addition, mid-latitude locations with higher population densities will also face the possibility of another COVID-19 outbreak in the autumn.\nFig. 3 (a) Relationship between cumulative cases of coronavirus disease 2019 (COVID-19) and temperatures from January 22, 2020 to May 6, 2020.\nThe orange zone represents the latitudinal zone with a mean surface temperature between 5 °C and 15 °C in 2019 according to a reanalysis of the National Centers for Environmental Prediction data. Blue lines (red points) represent the standard derivation (center) of the fitted normal distribution curve of zonal mean cumulative COVID-19 cases each day. The illustration is an example of the normal distribution fitted on March 13, 2020. Notably, daily COVID-19 cases in several countries such as China, the United States, and Canada were counted separately for each province. (b) Zonal mean of the gridded populations from 1980 to 2010 developed by the Center for Global Environmental Research at the National Institute for Environmental Studies, Japan. (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.)"}
LitCovid-PD-CLO
{"project":"LitCovid-PD-CLO","denotations":[{"id":"T34","span":{"begin":121,"end":122},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"},{"id":"T35","span":{"begin":409,"end":410},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"},{"id":"T36","span":{"begin":486,"end":487},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"},{"id":"T37","span":{"begin":704,"end":705},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"},{"id":"T38","span":{"begin":891,"end":894},"obj":"http://purl.obolibrary.org/obo/CLO_0051582"},{"id":"T39","span":{"begin":1455,"end":1459},"obj":"http://purl.obolibrary.org/obo/UBERON_0001456"},{"id":"T40","span":{"begin":1528,"end":1529},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"},{"id":"T41","span":{"begin":1638,"end":1640},"obj":"http://purl.obolibrary.org/obo/CLO_0050507"},{"id":"T42","span":{"begin":1716,"end":1717},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"},{"id":"T43","span":{"begin":1787,"end":1788},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"},{"id":"T44","span":{"begin":2240,"end":2241},"obj":"http://purl.obolibrary.org/obo/CLO_0001021"}],"text":"Fig. 3 presents the time-series zonal distribution of daily COVID-19 cases and their dispersal trend. As shown in Fig. 3(a), the temperature zone (5 °C–15 °C) and the center of the fitted normal distribution curve of the zonal mean daily cumulative COVID-19 cases were coincident. The center of the zone denoting COVID-19 cases moved toward higher latitude along with the temperature zone. Notably, there was a breakpoint on March 14, 2020 due to the outbreak of COVID-19 in Europe. As a result, the center of the zone denoting COVID-19 cases switched to 42.39°N and its standard deviation became much smaller. Clearly, most of the cases (68.2%) of COVID-19 occurred at higher latitudes, spreading along a path where the temperature ranged from 5 °C to 15 °C. This finding confirms that air temperature truly affects the distribution of COVID-19. It is noteworthy that the COVID-19 pandemic has not spread to areas with high population densities. Hence, we predict that the center of the fitted normal distribution curve of zonal mean COVID-19 cases will continually move to higher latitudes along the temperature zone between 5 °C to 15 °C over time. Therefore, the scale of the COVID-19 pandemic will be substantially reduced in early May and might recur in large mid-latitude cities in autumn 2020. It is very important to pay more attention to places at higher latitudes. In addition, mid-latitude locations with higher population densities will also face the possibility of another COVID-19 outbreak in the autumn.\nFig. 3 (a) Relationship between cumulative cases of coronavirus disease 2019 (COVID-19) and temperatures from January 22, 2020 to May 6, 2020.\nThe orange zone represents the latitudinal zone with a mean surface temperature between 5 °C and 15 °C in 2019 according to a reanalysis of the National Centers for Environmental Prediction data. Blue lines (red points) represent the standard derivation (center) of the fitted normal distribution curve of zonal mean cumulative COVID-19 cases each day. The illustration is an example of the normal distribution fitted on March 13, 2020. Notably, daily COVID-19 cases in several countries such as China, the United States, and Canada were counted separately for each province. (b) Zonal mean of the gridded populations from 1980 to 2010 developed by the Center for Global Environmental Research at the National Institute for Environmental Studies, Japan. (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.)"}
LitCovid-sentences
{"project":"LitCovid-sentences","denotations":[{"id":"T75","span":{"begin":0,"end":101},"obj":"Sentence"},{"id":"T76","span":{"begin":102,"end":280},"obj":"Sentence"},{"id":"T77","span":{"begin":281,"end":389},"obj":"Sentence"},{"id":"T78","span":{"begin":390,"end":482},"obj":"Sentence"},{"id":"T79","span":{"begin":483,"end":610},"obj":"Sentence"},{"id":"T80","span":{"begin":611,"end":759},"obj":"Sentence"},{"id":"T81","span":{"begin":760,"end":846},"obj":"Sentence"},{"id":"T82","span":{"begin":847,"end":946},"obj":"Sentence"},{"id":"T83","span":{"begin":947,"end":1151},"obj":"Sentence"},{"id":"T84","span":{"begin":1152,"end":1301},"obj":"Sentence"},{"id":"T85","span":{"begin":1302,"end":1375},"obj":"Sentence"},{"id":"T86","span":{"begin":1376,"end":1519},"obj":"Sentence"},{"id":"T87","span":{"begin":1520,"end":1662},"obj":"Sentence"},{"id":"T88","span":{"begin":1663,"end":1858},"obj":"Sentence"},{"id":"T89","span":{"begin":1859,"end":2015},"obj":"Sentence"},{"id":"T90","span":{"begin":2016,"end":2099},"obj":"Sentence"},{"id":"T91","span":{"begin":2100,"end":2547},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"Fig. 3 presents the time-series zonal distribution of daily COVID-19 cases and their dispersal trend. As shown in Fig. 3(a), the temperature zone (5 °C–15 °C) and the center of the fitted normal distribution curve of the zonal mean daily cumulative COVID-19 cases were coincident. The center of the zone denoting COVID-19 cases moved toward higher latitude along with the temperature zone. Notably, there was a breakpoint on March 14, 2020 due to the outbreak of COVID-19 in Europe. As a result, the center of the zone denoting COVID-19 cases switched to 42.39°N and its standard deviation became much smaller. Clearly, most of the cases (68.2%) of COVID-19 occurred at higher latitudes, spreading along a path where the temperature ranged from 5 °C to 15 °C. This finding confirms that air temperature truly affects the distribution of COVID-19. It is noteworthy that the COVID-19 pandemic has not spread to areas with high population densities. Hence, we predict that the center of the fitted normal distribution curve of zonal mean COVID-19 cases will continually move to higher latitudes along the temperature zone between 5 °C to 15 °C over time. Therefore, the scale of the COVID-19 pandemic will be substantially reduced in early May and might recur in large mid-latitude cities in autumn 2020. It is very important to pay more attention to places at higher latitudes. In addition, mid-latitude locations with higher population densities will also face the possibility of another COVID-19 outbreak in the autumn.\nFig. 3 (a) Relationship between cumulative cases of coronavirus disease 2019 (COVID-19) and temperatures from January 22, 2020 to May 6, 2020.\nThe orange zone represents the latitudinal zone with a mean surface temperature between 5 °C and 15 °C in 2019 according to a reanalysis of the National Centers for Environmental Prediction data. Blue lines (red points) represent the standard derivation (center) of the fitted normal distribution curve of zonal mean cumulative COVID-19 cases each day. The illustration is an example of the normal distribution fitted on March 13, 2020. Notably, daily COVID-19 cases in several countries such as China, the United States, and Canada were counted separately for each province. (b) Zonal mean of the gridded populations from 1980 to 2010 developed by the Center for Global Environmental Research at the National Institute for Environmental Studies, Japan. (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.)"}