Western Pacific Surveillance and Response最新文献

{"title":"After-action reviews for emergency preparedness and response to infectious disease outbreaks.","authors":"Ha-Linh Quach, Khanh Cong Nguyen, Florian Vogt","doi":"10.5365/wpsar.2023.14.1.953","DOIUrl":"10.5365/wpsar.2023.14.1.953","url":null,"abstract":"","PeriodicalId":31512,"journal":{"name":"Western Pacific Surveillance and Response","volume":"14 1","pages":"1-8"},"PeriodicalIF":1.0,"publicationDate":"2023-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10090030/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9321861","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Epidemiology of dengue reported in the World Health Organization's Western Pacific Region, 2013-2019.","authors":"Eri Togami, May Chiew, Christopher Lowbridge, Viema Biaukula, Leila Bell, Aya Yajima, Anthony Eshofonie, Dina Saulo, Do Thi Hong Hien, Satoko Otsu, Tran Cong Dai, Mya Sapal Ngon, Chin-Kei Lee, Reiko Tsuyuoka, Luciano Tuseo, Asheena Khalakdina, Vannda Kab, Rabindra Romauld Abeyasinghe, Rajendra Prasad Yadav, Princess Esguerra, Sean Casey, Chun Paul Soo, Munehisa Fukusumi, Tamano Matsui, Babatunde Olowokure","doi":"10.5365/wpsar.2023.14.1.973","DOIUrl":"10.5365/wpsar.2023.14.1.973","url":null,"abstract":"<p><p>The global burden of dengue, an emerging and re-emerging mosquito-borne disease, increased during the 20-year period ending in 2019, with approximately 70% of cases estimated to have been in Asia. This report describes the epidemiology of dengue in the World Health Organization's Western Pacific Region during 2013-2019 using regional surveillance data reported from indicator-based surveillance systems from countries and areas in the Region, supplemented by publicly available dengue outbreak situation reports. The total reported annual number of dengue cases in the Region increased from 430 023 in 2013 to 1 050 285 in 2019, surpassing 1 million cases for the first time in 2019. The reported case-fatality ratio ranged from 0.19% (724/376 972 in 2014 and 2030/1 050 285 in 2019) to 0.30% (1380/458 843 in 2016). The introduction or reintroduction of serotypes to specific areas caused several outbreaks and rare occurrences of local transmission in places where dengue was not previously reported. This report reinforces the increased importance of dengue surveillance systems in monitoring dengue across the Region.</p>","PeriodicalId":31512,"journal":{"name":"Western Pacific Surveillance and Response","volume":"14 1","pages":"1-16"},"PeriodicalIF":1.0,"publicationDate":"2023-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10090032/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10129721","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Epidemiology of tuberculosis in the Pacific island countries and areas, 2000-2020.","authors":"Manami Yanagawa, Fukushi Morishita, Kyung Hyun Oh, Kalpeshsinh Rahevar, Tauhidul Abm Islam, Subhash Yadav","doi":"10.5365/wpsar.2023.14.1.996","DOIUrl":"10.5365/wpsar.2023.14.1.996","url":null,"abstract":"<p><strong>Objective: </strong>Tuberculosis (TB) is one of the most important infectious diseases with an estimated 9.9 million people falling ill globally in 2020. We describe the epidemiology of TB in the Pacific island countries and areas (PICs) to inform potential priority actions to implement the <i>Western Pacific Regional Framework to End TB 2021-2030</i>.</p><p><strong>Methods: </strong>A descriptive analysis was conducted using annual TB surveillance data submitted by national TB programmes to the World Health Organization (WHO) and TB burden estimates (incidence rates and number of deaths) generated by WHO for the PICs, for the period 2000-2020. We also analysed TB case numbers, multidrug-resistant/rifampicin-resistant TB (MDR/RR-TB), recent risk factor indicators and treatment outcomes.</p><p><strong>Results: </strong>The estimated TB incidence rate in the PICs increased between 2000 and 2020 from 62 to 69 per 100 000 population, with an 8% reduction observed since 2015. TB cases increased by 29% during 2000-2020, with 1746 cases in 2020 and a high proportion in children (19%). Bacteriological diagnosis was used for 58% of total TB cases, although some countries reported clinical diagnoses in over 60% of cases. From 2015 to 2019, 52 MDR/RR-TB cases were reported and there were 94 TB/HIV coinfected cases in 2015-2020. Treatment success was 74% in 2019 due to 18% of cases being unevaluated. In 2020, the estimated proportion of TB cases attributable to smoking, malnutrition, alcohol abuse and diabetes was 17%, 16%, 11% and 9%, respectively.</p><p><strong>Discussion: </strong>There was an increasing trend in TB cases, estimated incidence and deaths between 2000 and 2020. Laboratory services were scaled up in some PICs and case-finding activities greatly contributed to the detection of cases. To end the incidence of TB, continued efforts on case finding, contact investigation and scaling up TB preventive treatment should be prioritized. At the same time, collaboration with other sectors for risk factor management and decentralized management need to be considered.</p>","PeriodicalId":31512,"journal":{"name":"Western Pacific Surveillance and Response","volume":"14 1","pages":"1-12"},"PeriodicalIF":1.0,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10008724/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9414660","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Implementation and use of a national electronic dashboard to guide COVID-19 clinical management in Fiji.","authors":"Karen Hammad, Sean Casey, Rigamoto Taito, Sara W Demas, Mohita Joshi, Rashmi Rita, Anaseini Maisema","doi":"10.5365/wpsar.2023.14.5.967","DOIUrl":"10.5365/wpsar.2023.14.5.967","url":null,"abstract":"<p><strong>Problem: </strong>From April to September 2021, Fiji experienced a second wave of coronavirus disease (COVID-19) precipitated by the Delta variant of concern, prompting a need to strengthen existing data management of positive COVID-19 cases.</p><p><strong>Context: </strong>With COVID-19 cases peaking at 1405 a day and many hospital admissions, the need to develop a better way to visualize data became clear.</p><p><strong>Action: </strong>The Fiji Ministry of Health and Medical Services, the World Health Organization and the United Nations Office for the Coordination of Humanitarian Affairs collaborated to develop an online clinical dashboard to support better visualization of case management data.</p><p><strong>Outcome: </strong>The dashboard was used across Fiji at national, divisional and local levels for COVID-19 management. At the national level, it provided real-time reports describing the surge pattern, severity and management of COVID-19 cases across the country during daily incident management team meetings. At the divisional level, it gave the divisional directors access to timely information about hospital and community isolation of cases. At the hospital level, the dashboard allowed managers to monitor trends in isolated cases and use of oxygen resources.</p><p><strong>Discussion: </strong>The dashboard replaced previous paper-based reporting of statistics with delivery of trends and real-time data. The team that developed the tool were situated in different locations and did not meet physically, demonstrating the ease of implementing this online tool in a resource-constrained setting. The dashboard is easy to use and could be used in other Pacific island countries and areas.</p>","PeriodicalId":31512,"journal":{"name":"Western Pacific Surveillance and Response","volume":"14 5 Spec Edition","pages":"01-7"},"PeriodicalIF":1.0,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10017918/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9414673","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"How the Commonwealth of the Northern Mariana Islands stalled COVID-19 for 22 months and managed its first significant community transmission.","authors":"Dwayne Davis, Stephanie Kern-Allely, Lily Muldoon, John M Tudela, Jesse Tudela, Renea Raho, Heather S Pangelinan, Halina Palacios, John Tabaguel, Alan Hinson, Guillermo Lifoifoi, Warren Villagomez, Joseph R Fauver, Haley L Cash, Esther Muña, Sean T Casey, Ali S Khan","doi":"10.5365/wpsar.2023.14.1.965","DOIUrl":"10.5365/wpsar.2023.14.1.965","url":null,"abstract":"<p><strong>Objective: </strong>The Commonwealth of the Northern Mariana Islands (CNMI) is a remote Pacific island territory with a population of 47 329 that successfully prevented the significant introduction of coronavirus disease (COVID-19) until late 2021. This study documents how the response to the introduction of COVID-19 in CNMI in 2021 was conducted with limited resources without overwhelming local clinical capacity or compromising health service delivery for the population.</p><p><strong>Methods: </strong>Data from COVID-19 case investigations, contact tracing, the Commonwealth's immunization registry and whole genome sequencing were collated and analysed as part of this study.</p><p><strong>Results: </strong>Between 26 March 2020 and 31 December 2021, 3281 cases and 14 deaths due to COVID-19 were reported in CNMI (case fatality rate, 0.4%). While notification rates were highest among younger age groups, hospitalization and mortality rates were disproportionately greater among those aged > 50 years and among the unvaccinated. The first widespread community transmission in CNMI was detected in October 2021, with genomic epidemiology and contact tracing data indicating a single introduction event involving the AY.25 lineage and subsequent rapid community spread. Vaccination coverage was high before widespread transmission occurred in October 2021 and increased further over the study period.</p><p><strong>Discussion: </strong>Robust preparedness and strong leadership generated resilience within the public health sector such that COVID-19 did not overwhelm CNMI's health system as it did in other jurisdictions and countries around the world. At no point was hospital capacity exceeded, and all patients received adequate care without the need for health-care rationing.</p>","PeriodicalId":31512,"journal":{"name":"Western Pacific Surveillance and Response","volume":"14 1","pages":"1-10"},"PeriodicalIF":1.0,"publicationDate":"2023-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9939343/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9390195","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A descriptive assessment of the National Institute of Public Health's contribution to the COVID-19 response in Cambodia, \u20282020-2021.","authors":"Srean Chhim,&nbsp;Wuddhika In Vong,&nbsp;Kimsorn Pa,&nbsp;Chanboroth Chhorn,&nbsp;Tambri Housen,&nbsp;Amy Elizabeth Parry,&nbsp;Wim Van Damme,&nbsp;Por Ir,&nbsp;Chhorvann Chhea","doi":"10.5365/wpsar.2023.14.1.974","DOIUrl":"https://doi.org/10.5365/wpsar.2023.14.1.974","url":null,"abstract":"<p><strong>Objective: </strong>This paper examines the contributions made by the National Institute of Public Health to Cambodia's response to the coronavirus disease (COVID-19) pandemic during 2020-2021.</p><p><strong>Methods: </strong>The activities conducted by the Institute were compared with adaptations of the nine pillars of the World Health Organization's 2020 COVID-19 strategic preparedness and response plan. To gather relevant evidence, we reviewed national COVID-19 testing data, information about COVID-19-related events documented by Institute staff, and financial and technical reports of the Institute's activities.</p><p><strong>Results: </strong>The main contributions the Institute made were to the laboratory pillar and the incident management and planning pillar. The Institute tested more than 50% of the 2 575 391 samples for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) testing and provided technical advice about establishing 18 new laboratories for SARS-CoV-2 testing in the capital city of Phnom Penh and 11 provinces. The Institute had representatives on many national committees and coauthored national guidelines for implementing rapid COVID-19 testing, preventing transmission in health-care facilities and providing treatment. The Institute contributed to six other pillars, but had no active role in risk communication and community engagement.</p><p><strong>Discussion: </strong>The Institute's support was essential to the COVID-19 response in Cambodia, especially for laboratory services and incident management and planning. Based on the contributions made by the Institute during the COVID-19 pandemic, continued investment in it will be critical to allow it to support responses to future health emergencies in Cambodia.</p>","PeriodicalId":31512,"journal":{"name":"Western Pacific Surveillance and Response","volume":"14 1","pages":"1-7"},"PeriodicalIF":1.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10090031/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9316771","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Post-COVID-19 health-care utilization: one year after the 2020 first wave in \u2028Brunei Darussalam.","authors":"Muhammad Syafiq Abdullah,&nbsp;Rosmonaliza Asli,&nbsp;Pui Lin Chong,&nbsp;Babu Ivan Mani,&nbsp;Natalie Raimiza Momin,&nbsp;Noor Affizan Rahman,&nbsp;Chee Fui Chong,&nbsp;Vui Heng Chong","doi":"10.5365/wpsar.2023.14.1.949","DOIUrl":"https://doi.org/10.5365/wpsar.2023.14.1.949","url":null,"abstract":"<p><strong>Objective: </strong>Patients who recover from coronavirus disease (COVID-19) infection are at risk of long-term health disorders and may require prolonged health care. This retrospective observational study assesses the number of health-care visits before and after COVID-19 infection in Brunei Darussalam.</p><p><strong>Methods: </strong>COVID-19 cases from the first wave with 12 months of follow-up were included. Health-care utilization was defined as health-care visits for consultations or investigations. Post-COVID condition was defined using the World Health Organization definition.</p><p><strong>Results: </strong>There were 132 cases; 59.1% were male and the mean age was 37.1 years. The mean number of health-care visits 12 months after recovery from COVID-19 (123 cases, 93.2%; mean 5.0 ± 5.2) was significantly higher than the prior 12 months (87 cases, 65.9%, <i>P</i> < 0.001; mean 3.2 ± 5.7, <i>P</i> < 0.001). There was no significant difference when scheduled COVID-19 visits were excluded (3.6 ± 4.9, <i>P</i> = 0.149). All 22 cases with moderate to critical disease recovered without additional health-care visits apart from planned post-COVID-19 visits. Six patients had symptoms of post-COVID condition, but none met the criteria for diagnosis or had alternative diagnoses.</p><p><strong>Discussion: </strong>There were significantly more health-care visits following recovery from COVID-19. However, this was due to scheduled post-COVID-19 visits as per the national management protocol. This protocol was amended before the second wave to omit post-COVID-19 follow-up, except for complicated cases or cases with no documented radiological resolution of COVID-19 pneumonia. This will reduce unnecessary health-care visits and conserve precious resources that were stretched to the limit during the pandemic.</p>","PeriodicalId":31512,"journal":{"name":"Western Pacific Surveillance and Response","volume":"14 1","pages":"1-9"},"PeriodicalIF":1.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9936207/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10774647","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Using an online calculator to describe excess mortality in the Philippines during the COVID-19 pandemic.","authors":"Julius R Migriño,&nbsp;Ma Rosario Bernardo-Lazaro","doi":"10.5365/wpsar.2023.14.1.984","DOIUrl":"https://doi.org/10.5365/wpsar.2023.14.1.984","url":null,"abstract":"<p><strong>Objective: </strong>Excess mortality is an indicator of the impact of the coronavirus disease (COVID-19) pandemic. This study aims to describe excess mortality in the Philippines from January 2020 to December 2021 using an online all-cause mortality and excess mortality calculator.</p><p><strong>Methods: </strong>All-cause mortality data sets from 2015 to 2021 from the Philippine Statistics Authority were obtained and analysed using the World Health Organization Western Pacific Regional Office All-Cause Mortality Calculator. Expected mortality, excess mortality and P-scores were obtained using two models, 5-year averages and negative binomial regression, for total deaths and by administrative region.</p><p><strong>Results: </strong>Reported national all-cause mortality exceeded the expected mortality in August 2020 and from January to November 2021, peaking in September 2021 at 104 per 100 000. Total excess mortality using negative binomial regression was -13 900 deaths in 2020 and 212 000 deaths in 2021, peaking in September 2021. P-scores were -2% in 2020 and 33% in 2021, again peaking in September 2021 at 114%. Reported COVID-19 deaths accounted for 20% of excess deaths in 2021. In 2020, consistently high P-scores were recorded in the National Capital Region from July to September and in the Bangsamoro Autonomous Region in Muslim Mindanao from June to July. In 2021, most regions recorded high P-scores from June to October.</p><p><strong>Discussion: </strong>Tracking excess mortality using a robust, accessible and standardized online tool provided a comprehensive assessment of the direct and indirect impacts of the COVID-19 pandemic in the Philippines. Furthermore, analysis by administrative region highlighted the key regions disproportionately affected by the pandemic, information that may not have been fully captured from routine COVID-19 surveillance.</p>","PeriodicalId":31512,"journal":{"name":"Western Pacific Surveillance and Response","volume":"14 1","pages":"1-11"},"PeriodicalIF":1.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10090036/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9703944","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Early pandemic use of face masks in Papua New Guinea under a mask mandate.","authors":"Mark Raphael,&nbsp;Angela Kelly-Hanku,&nbsp;David Heslop,&nbsp;Danielle Hutchinson,&nbsp;Mohana Kunasekaran,&nbsp;Ashley Quigley,&nbsp;Raina MacIntyre","doi":"10.5365/wpsar.2023.14.1.998","DOIUrl":"https://doi.org/10.5365/wpsar.2023.14.1.998","url":null,"abstract":"<p><strong>Objective: </strong>During the coronavirus disease (COVID-19) pandemic, face mask wearing was mandated in Port Moresby, Papua New Guinea in July 2020, but compliance was observed to be low. We aimed to determine the frequency of face mask wearing by the general public in Papua New Guinea under the mask mandate.</p><p><strong>Methods: </strong>To estimate compliance with the mandate, we analysed photographs of people gathering in Port Moresby published between 29 September and 29 October 2020. Photo-epidemiology was performed on the 40 photographs that met pre-defined selection criteria for inclusion in our study.</p><p><strong>Results: </strong>Among the total of 445 fully visible photographed faces, 53 (11.9%) were observed wearing a face mask over mouth and nose. Complete non-compliance (no faces wearing masks) was observed in 19 (4.3%) photographs. Physical distancing was observed in 10% of the 40 photographs. Mask compliance in indoor settings (16.4%) was higher than that observed in outdoor settings (9.8%), and this difference was statistically significant (<i>P</i> < 0.05). Mask compliance was observed in 8.9% of large-sized gatherings (> 30 people), 12.7% of medium-sized gatherings (11-30 people) and 25.0% of small-sized gatherings (4-10 people; photographs with < 4 people were excluded from analysis).</p><p><strong>Discussion: </strong>We found very low population compliance with face mask mandates in Papua New Guinea during the pre-vaccine pandemic period. Individuals without face coverings and non-compliant with physical distancing guidelines are considered to be in a high-risk category for COVID-19 transmission particularly in medium- and large-sized gatherings. A new strategy to enforce public health mandates is required and should be clearly promoted to the public.</p>","PeriodicalId":31512,"journal":{"name":"Western Pacific Surveillance and Response","volume":"14 1","pages":"1-6"},"PeriodicalIF":1.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10150155/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9414589","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Contribution of the Australian field epidemiology training workforce to the COVID-19 response, 2020.","authors":"Amy Elizabeth Parry, Charlee Law, Davoud Pourmarzi, Florian Vogt, Emma Field, Samantha Colquhoun","doi":"10.5365/wpsar.2022.13.4.979","DOIUrl":"10.5365/wpsar.2022.13.4.979","url":null,"abstract":"","PeriodicalId":31512,"journal":{"name":"Western Pacific Surveillance and Response","volume":"13 4","pages":"1-5"},"PeriodicalIF":1.0,"publicationDate":"2022-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9912282/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9326127","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}