CORD-19:004f0f8bb66cf446678dc13cf2701feec4f36d76 JSONTXT 8 Projects

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Id Subject Object Predicate Lexical cue
TextSentencer_T1 0-88 Sentence denotes Healthcare-resource-adjusted vulnerabilities towards the 2019-nCoV epidemic across China
TextSentencer_T1 0-88 Sentence denotes Healthcare-resource-adjusted vulnerabilities towards the 2019-nCoV epidemic across China
TextSentencer_T2 90-98 Sentence denotes Abstract
TextSentencer_T2 90-98 Sentence denotes Abstract
TextSentencer_T3 101-199 Sentence denotes The 2019-nCoV epidemic has spread across China and 24 other countries 1-3 as of February 8, 2020 .
TextSentencer_T3 101-199 Sentence denotes The 2019-nCoV epidemic has spread across China and 24 other countries 1-3 as of February 8, 2020 .
TextSentencer_T4 200-383 Sentence denotes The mass quarantine measure implemented in the epidemic's epicenter, Wuhan, Hubei Province, China, on January 23, 2020, has stopped the human migration between Wuhan and other places.
TextSentencer_T4 200-383 Sentence denotes The mass quarantine measure implemented in the epidemic's epicenter, Wuhan, Hubei Province, China, on January 23, 2020, has stopped the human migration between Wuhan and other places.
TextSentencer_T5 384-612 Sentence denotes However, according to the local authorities, over five million people had already traveled from Wuhan to other parts of China in the weeks leading to January 23, 2020, with the majority (79.96%) to the other cities within Hubei.
TextSentencer_T5 384-612 Sentence denotes However, according to the local authorities, over five million people had already traveled from Wuhan to other parts of China in the weeks leading to January 23, 2020, with the majority (79.96%) to the other cities within Hubei.
TextSentencer_T6 613-710 Sentence denotes Healthcare resources have become a major bottleneck in the response to this public health crisis.
TextSentencer_T6 613-710 Sentence denotes Healthcare resources have become a major bottleneck in the response to this public health crisis.
TextSentencer_T7 711-859 Sentence denotes The sudden onset of the epidemic and the sheer size of the infection have caused significant shortage in healthcare resources across Hubei Province.
TextSentencer_T7 711-859 Sentence denotes The sudden onset of the epidemic and the sheer size of the infection have caused significant shortage in healthcare resources across Hubei Province.
TextSentencer_T8 860-1041 Sentence denotes So far, there have been over 11,000 non-local healthcare professionals, mobilized by the public health authorities from other parts of China, fighting against the epidemic in Wuhan.
TextSentencer_T8 860-1041 Sentence denotes So far, there have been over 11,000 non-local healthcare professionals, mobilized by the public health authorities from other parts of China, fighting against the epidemic in Wuhan.
TextSentencer_T9 1042-1122 Sentence denotes However, this is far from adequate for Wuhan given the severity of the epidemic.
TextSentencer_T9 1042-1122 Sentence denotes However, this is far from adequate for Wuhan given the severity of the epidemic.
TextSentencer_T10 1123-1294 Sentence denotes In addition to Wuhan, other cities in Hubei are in need of urgent external help as well with respect to health resources, as multiple localized outbreaks are taking place.
TextSentencer_T10 1123-1294 Sentence denotes In addition to Wuhan, other cities in Hubei are in need of urgent external help as well with respect to health resources, as multiple localized outbreaks are taking place.
TextSentencer_T11 1295-1487 Sentence denotes On February 7, 2020, the National Health Commission of China (NHCC) initiated the "One City Covered by One Province" program, explicitly assigning a specific province to aid one city in Hubei.
TextSentencer_T11 1295-1487 Sentence denotes On February 7, 2020, the National Health Commission of China (NHCC) initiated the "One City Covered by One Province" program, explicitly assigning a specific province to aid one city in Hubei.
TextSentencer_T12 1488-1775 Sentence denotes Two critical questions of operational nature remain, which cities, both in Hubei and other provinces, are most vulnerable to localized outbreaks, and how the public health authorities should balance the healthcare resources under stress to best fight the epidemic and minimize the risks?
TextSentencer_T12 1488-1775 Sentence denotes Two critical questions of operational nature remain, which cities, both in Hubei and other provinces, are most vulnerable to localized outbreaks, and how the public health authorities should balance the healthcare resources under stress to best fight the epidemic and minimize the risks?
TextSentencer_T13 1776-1938 Sentence denotes This study is aimed to shed light on these questions by developing a vulnerability analysis framework integrating the human movement and healthcare resource data.
TextSentencer_T13 1776-1938 Sentence denotes This study is aimed to shed light on these questions by developing a vulnerability analysis framework integrating the human movement and healthcare resource data.
TextSentencer_T14 1939-2498 Sentence denotes This study makes use of four public datasets: (a) the daily counts of confirmed 2019-nCoV cases, collected from NHCC 4 ; (b) the list of designated hospitals with the number of reserved beds, retrieved from the websites of the provincial and municipal health commissions; (c) the information of the hospitals designated for 2019-nCoV, retrieved from 99.com.cn, a public hospital database; and (d) the human movement data, provided by the Baidu Migration (http://qianxi.baidu.com/), a public site offering real-time migration information across mainland China.
TextSentencer_T14 1939-2498 Sentence denotes This study makes use of four public datasets: (a) the daily counts of confirmed 2019-nCoV cases, collected from NHCC 4 ; (b) the list of designated hospitals with the number of reserved beds, retrieved from the websites of the provincial and municipal health commissions; (c) the information of the hospitals designated for 2019-nCoV, retrieved from 99.com.cn, a public hospital database; and (d) the human movement data, provided by the Baidu Migration (http://qianxi.baidu.com/), a public site offering real-time migration information across mainland China.
TextSentencer_T15 2499-2739 Sentence denotes Recent studies indicated that the confirmed case data for Hubei Province, in particular, Wuhan, was subject to the under-reporting bias, while the data from places outside of Hubei is more reliable for inferring the actual epidemic size 5 .
TextSentencer_T15 2499-2739 Sentence denotes Recent studies indicated that the confirmed case data for Hubei Province, in particular, Wuhan, was subject to the under-reporting bias, while the data from places outside of Hubei is more reliable for inferring the actual epidemic size 5 .
TextSentencer_T16 2740-2759 Sentence denotes Following Wu et al.
TextSentencer_T16 2740-2759 Sentence denotes Following Wu et al.
TextSentencer_T17 2760-2974 Sentence denotes 5 , we developed a susceptible-exposed-infectious-recovered (SEIR)-based metapopulation model, which has 100 sub-populations representing the 100 cities that have the greatest number of people traveling from Wuhan.
TextSentencer_T17 2760-2974 Sentence denotes 5 , we developed a susceptible-exposed-infectious-recovered (SEIR)-based metapopulation model, which has 100 sub-populations representing the 100 cities that have the greatest number of people traveling from Wuhan.
TextSentencer_T18 2975-3044 Sentence denotes Note that we adopted the same epidemiological parameters as Wu et al.
TextSentencer_T18 2975-3044 Sentence denotes Note that we adopted the same epidemiological parameters as Wu et al.
TextSentencer_T19 3045-3048 Sentence denotes 5 .
TextSentencer_T19 3045-3048 Sentence denotes 5 .
TextSentencer_T20 3049-3139 Sentence denotes This model was then used to estimate IDi, the number of infected individuals in each city.
TextSentencer_T20 3049-3139 Sentence denotes This model was then used to estimate IDi, the number of infected individuals in each city.
TextSentencer_T21 3140-3265 Sentence denotes Lastly, healthcare-resource-adjusted vulnerability indexes to the 2019-nCoV outbreak for city i, Vi were obtained as follows:
TextSentencer_T21 3140-3265 Sentence denotes Lastly, healthcare-resource-adjusted vulnerability indexes to the 2019-nCoV outbreak for city i, Vi were obtained as follows:
TextSentencer_T22 3266-3363 Sentence denotes Vi = IDi / Bi, where Bi represents the total number of reserved beds in the designated hospitals.
TextSentencer_T22 3266-3363 Sentence denotes Vi = IDi / Bi, where Bi represents the total number of reserved beds in the designated hospitals.
TextSentencer_T23 3364-3559 Sentence denotes The Figure presents the estimated number of infected individuals, as well as the healthcareresource-adjusted vulnerability to the 2019-nCoV outbreak across mainland China, as of January 29, 2020.
TextSentencer_T23 3364-3559 Sentence denotes The Figure presents the estimated number of infected individuals, as well as the healthcareresource-adjusted vulnerability to the 2019-nCoV outbreak across mainland China, as of January 29, 2020.
TextSentencer_T24 3560-3674 Sentence denotes The epidemiological parameters may have changed after January 23, 2020, when the lockdown measure was implemented.
TextSentencer_T24 3560-3674 Sentence denotes The epidemiological parameters may have changed after January 23, 2020, when the lockdown measure was implemented.
TextSentencer_T25 3675-3839 Sentence denotes Thus, we only use the data by January 23, 2020 and produce the estimation till January 29, 2020 to accommodate the six-day incubation period identified by Wu et al.
TextSentencer_T25 3675-3839 Sentence denotes Thus, we only use the data by January 23, 2020 and produce the estimation till January 29, 2020 to accommodate the six-day incubation period identified by Wu et al.
TextSentencer_T26 3840-3843 Sentence denotes 5 .
TextSentencer_T26 3840-3843 Sentence denotes 5 .
TextSentencer_T27 3844-3915 Sentence denotes The ten most vulnerable non-Hubei cities are also listed in the figure.
TextSentencer_T27 3844-3915 Sentence denotes The ten most vulnerable non-Hubei cities are also listed in the figure.
TextSentencer_T28 3916-4086 Sentence denotes Note that the cities in Hubei (which are being aided by other provinces) are not presented here because of their significantly higher vulnerability as compared to others.
TextSentencer_T28 3916-4086 Sentence denotes Note that the cities in Hubei (which are being aided by other provinces) are not presented here because of their significantly higher vulnerability as compared to others.
TextSentencer_T29 4087-4254 Sentence denotes Among the ten most vulnerable non-Hubei cities, Changsha, Beijing, Chongqing and Shanghai are major metropolises with a large number of estimated infected individuals.
TextSentencer_T29 4087-4254 Sentence denotes Among the ten most vulnerable non-Hubei cities, Changsha, Beijing, Chongqing and Shanghai are major metropolises with a large number of estimated infected individuals.
TextSentencer_T30 4255-4336 Sentence denotes Xinyang, Jiujiang, Nanchang and Yiyang are medium-sized cities neighboring Hubei.
TextSentencer_T30 4255-4336 Sentence denotes Xinyang, Jiujiang, Nanchang and Yiyang are medium-sized cities neighboring Hubei.
TextSentencer_T31 4337-4512 Sentence denotes In particular, Xinyang appears to be in a particular vulnerable situation because of the large number of people traveling from Wuhan and its insufficient healthcare resources.
TextSentencer_T31 4337-4512 Sentence denotes In particular, Xinyang appears to be in a particular vulnerable situation because of the large number of people traveling from Wuhan and its insufficient healthcare resources.
TextSentencer_T32 4513-4623 Sentence denotes The reported vulnerability analysis informs public health response to the 2019-nCoV epidemic in multiple ways.
TextSentencer_T32 4513-4623 Sentence denotes The reported vulnerability analysis informs public health response to the 2019-nCoV epidemic in multiple ways.
TextSentencer_T33 4624-4764 Sentence denotes For the identified cities with high vulnerability, it is important to increase the reserve of healthcare resources or have contingent plans.
TextSentencer_T33 4624-4764 Sentence denotes For the identified cities with high vulnerability, it is important to increase the reserve of healthcare resources or have contingent plans.
TextSentencer_T34 4765-4932 Sentence denotes In particular, some of these cities already contributed significant healthcare resources to Hubei, leaving themselves inadequately prepared for the localized outbreak.
TextSentencer_T34 4765-4932 Sentence denotes In particular, some of these cities already contributed significant healthcare resources to Hubei, leaving themselves inadequately prepared for the localized outbreak.
TextSentencer_T35 4933-5089 Sentence denotes Our analysis revealed that several medium-sized cities, particularly those neighboring Hubei, are highly vulnerable due to the lack of healthcare resources.
TextSentencer_T35 4933-5089 Sentence denotes Our analysis revealed that several medium-sized cities, particularly those neighboring Hubei, are highly vulnerable due to the lack of healthcare resources.