161 10 20655 https://www.socictopen.socict.org/files/original/7e6e35da6cce8f0a291829a809fc40a3.pdf 4f2467a53b3350de115a15534ebc235f Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Preface of Special Issue “Cares in the Age of Communication: Health Education and Healthy Lifestyles”: Social Media and Health Communication in a Pandemic? Creator An entity primarily responsible for making the resource Ivan Herrera-Peco, Julio C. de la Torre-Montero Description An account of the resource In the midst and the mist of the Covid-19 outbreak, weare living in the age of global communication in a hyperconnected society in which the transmissions channels between people have been changed very clearly due to both the internet itself in general and social networks in particular [...] Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource n/a Identifier An unambiguous reference to the resource within a given context DOI: 10.3390/ejihpe10020042 Source A related resource from which the described resource is derived European Journal of Investigation in Health, Psychology and Education Publisher An entity responsible for making the resource available Asociación Universitaria de Educación Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Psychology, Public aspects of medicine Language A language of the resource EN, ES https://www.socictopen.socict.org/files/original/da21536d07eba93be94fb86c48bbc499.pdf 4746b9a6115462582be7b2df0fec3aa2 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Lung microbiota in the acute respiratory disease: from coronavirus to metabolomics Creator An entity primarily responsible for making the resource Vassilios Fanos, Maria Cristina Pintus, Roberta Pintus, Maria Antonietta Marcialis Description An account of the resource Healthy lungs are not sterile. In the last decade, it was demonstrated that the healthy lung has its specific microbiota. It is much smaller in numerical terms, compared to the gut microbiota, but it is a unique microbiota that can affect the health and the diseases. With an estimated number of 10-100 bacteria for 1.000 human cells, the lower respiratory tract is one of the less populated surfaces by the bacteria of the whole human body. Even human fetal lungs host a “signature” of the microbiota. The composition of the lung microbiota depends on several factors, including the so-called “microbial immigration” from micro-aspiration and inhalation of microorganisms.The connection between the lung and the gastrointestinal tract is not entirely understood. Patients with respiratory infections generally have gut dysfunctions complications, which are related to a more severe clinical course, thus indicating gut-lung crosstalk. In this review we analyse the lung microbiota in newborns, infants and adults with respiratory disease. In acute pulmonary diseases such as sepsis, trauma, and acute respiratory distress syndrome (ARDS), the lung microbiota becomes rich in gut bacteria, such as Bacteroidetes and Enterobacteriaceae. This phenomenon is also called “more gut in the lung”. In acute situations, the gut becomes hyper-permeable (leaky gut), and the bacteria can translocate through the colon wall and reach the lung affecting the inflammation, the infection, and the acute pulmonary damage. The increased gut permeability is associated with an increased alveolus-capillary hyper-permeability as well.There are tight correlations between the lung microbiota and the admission in intensive care. In particular, the modifications of the lung microbiota can help in predicting in which way the patients in critical condition will respond to the treatments. It has been investigated if the different incidence depending on age and the different courses between adults and children for Novel COronaVIrus Disease 2019 (COVID-19) could be due to the different concentrations and/or activation of angiotensin-converting enzyme 2 (ACE2) at the intestinal and pulmonary level. ACE2 is mainly localized on the luminal surface of the intestinal epithelial cells and it has been hypothesized that gut microbiota influences the action of ACE2. Thus, a close relationship between COVID-19 and the microbiota can be hypothesized (it has been studied in cats). Potential interventions for COVID-19 are: nutritional, antiviral, anti-coronavirus, and miscellanea. Other options could include also probiotics, especially Bifidobacteria and Lactobacilli, namely L. gasseri. In the next future, metabolomics could be applied in the study of COVID-19, deciphering the secret languages between viruses, bacteria and the organism. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource lung, gut, microbiota, Respiratory disease, pneu­monia, coronavirus, Probiotics, metabolomics Identifier An unambiguous reference to the resource within a given context DOI: 10.7363/090139 Source A related resource from which the described resource is derived Journal of Pediatric and Neonatal Individualized Medicine Publisher An entity responsible for making the resource available Hygeia Press di Corridori Marinella Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Pediatrics, Medicine Language A language of the resource EN, IT https://www.socictopen.socict.org/files/original/4fdec9579797336f0b1df8df3e989ed3.pdf 51a708dd577f42936439f6c4d2f87977 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Corona Virus (COVID-19) “Infodemic” and Emerging Issues through a Data Lens: The Case of China Creator An entity primarily responsible for making the resource Jinling Hua, Rajib Shaw Description An account of the resource Coronavirus (COVID-19) is a humanitarian emergency, which started in Wuhan in China in early December 2019, brought into the notice of the authorities in late December, early January 2020, and, after investigation, was declared as an emergency in the third week of January 2020. The WHO declared this as Public Health Emergency of International Concern (PHEIC) on 31th of January 2020, and finally a pandemic on 11th March 2020. As of March 24th, 2020, the virus has caused a casualty of over 16,600 people worldwide with more than 380,000 people confirmed as infected by it, of which more than 10,000 cases are serious. Mainly based on Chinese newspapers, social media and other digital platform data, this paper analyzes the timeline of the key actions taken by the government and people over three months in five different phases. It found that although there was an initial delay in responding, a unique combination of strong governance, strict regulation, strong community vigilance and citizen participation, and wise use of big data and digital technologies, were some of the key factors in China’s efforts to combat this virus. Being inviable and non-measurable (unlike radioactive exposure), appropriate and timely information is very important to form the basic foundation of mitigation and curative measures. Infodemic, as it is termed by WHO, is a key word, where different stakeholder’s participation, along with stricter regulation, is required to reduce the impact of fake news in this information age and social media. Although different countries will need different approaches, focusing on its humanitarian nature and addressing infodemic issues are the two critical factors for future global mitigation efforts. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource COVID-19, coronavirus, infodemic, humanitarian emergency, Data Science, good governance Identifier An unambiguous reference to the resource within a given context DOI: 10.3390/ijerph17072309 Source A related resource from which the described resource is derived International Journal of Environmental Research and Public Health Publisher An entity responsible for making the resource available MDPI AG Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Medicine Language A language of the resource EN https://www.socictopen.socict.org/files/original/1d7eed6d4c493e4ef76b361459365d41.pdf 4f7108bae62211ff84f72ef332444e6e Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Healthcare Digitalization and Pay-For-Performance Incentives in Smart Hospital Project Financing Creator An entity primarily responsible for making the resource Roberto Moro Visconti, Donato Morea Description An account of the resource This study aims to explore the impact of healthcare digitalization on smart hospital project financing (PF) fostered by pay-for-performance (P4P) incentives. Digital platforms are a technology-enabled business model that facilitates exchanges between interacting agents. They represent a bridging link among disconnected nodes, improving the scalable value of networks. Application to healthcare public–private partnerships (PPPs) is significant due to the consistency of digital platforms with health issues and the complexity of the stakeholder’s interaction. In infrastructural PPPs, public and private players cooperate, usually following PF patterns. This relationship is complemented by digitized supply chains and is increasingly patient-centric. This paper reviews the literature, analyzes some supply chain bottlenecks, addresses solutions concerning the networking effects of platforms to improve PPP interactions, and investigates the cost–benefit analysis of digital health with an empirical case. Whereas diagnostic or infrastructural technology is an expensive investment with long-term payback, leapfrogging digital applications reduce contingent costs. “Digital” savings can be shared by key stakeholders with P4P schemes, incentivizing value co-creation patterns. Efficient sharing may apply network theory to a comprehensive PPP ecosystem where stakeholding nodes are digitally connected. This innovative approach improves stakeholder relationships, which are re-engineered around digital platforms that enhance patient-centered satisfaction and sustainability. Digital technologies are useful even for infectious disease surveillance, like that of the coronavirus pandemic, for supporting massive healthcare intervention, decongesting hospitals, and providing timely big data. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource public–private partnerships, internet of medical things, digital innovation, healthcare sustainable development, patient-centered care, mhealth Identifier An unambiguous reference to the resource within a given context DOI: 10.3390/ijerph17072318 Source A related resource from which the described resource is derived International Journal of Environmental Research and Public Health Publisher An entity responsible for making the resource available MDPI AG Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Medicine Language A language of the resource EN https://www.socictopen.socict.org/files/original/144e41e17728ca0fda43e98120417f11.pdf b260362ea655be9d6ee32d493f1e4dbc Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A Simulation on Potential Secondary Spread of Novel Coronavirus in an Exported Country Using a Stochastic Epidemic SEIR Model Creator An entity primarily responsible for making the resource Kentaro Iwata, Chisato Miyakoshi Description An account of the resource Ongoing outbreak of pneumonia caused by novel coronavirus (2019-nCoV) began in December 2019 in Wuhan, China, and the number of new patients continues to increase. Even though it began to spread to many other parts of the world, such as other Asian countries, the Americas, Europe, and the Middle East, the impact of secondary outbreaks caused by exported cases outside China remains unclear. We conducted simulations to estimate the impact of potential secondary outbreaks in a community outside China. Simulations using stochastic SEIR model were conducted, assuming one patient was imported to a community. Among 45 possible scenarios we prepared, the worst scenario resulted in the total number of persons recovered or removed to be 997 (95% CrI 990–1000) at day 100 and a maximum number of symptomatic infectious patients per day of 335 (95% CrI 232–478). Calculated mean basic reproductive number (R0) was 6.5 (Interquartile range, IQR 5.6–7.2). However, better case scenarios with different parameters led to no secondary cases. Altering parameters, especially time to hospital visit. could change the impact of a secondary outbreak. With these multiple scenarios with different parameters, healthcare professionals might be able to better prepare for this viral infection. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource novel coronavirus, SEIR model, outside China Identifier An unambiguous reference to the resource within a given context DOI: 10.3390/jcm9040944 Source A related resource from which the described resource is derived Journal of Clinical Medicine Publisher An entity responsible for making the resource available MDPI AG Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Medicine Language A language of the resource EN https://www.socictopen.socict.org/files/original/cc02997a96d08025c7523592b04ea23f.pdf 10d65fe7b082c7b2bb7c940e4e21aa34 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Novel Coronavirus Infection (COVID-19) in Humans: A Scoping Review and Meta-Analysis Creator An entity primarily responsible for making the resource Israel Júnior Borges do Nascimento, Nensi Cacic, Hebatullah Mohamed Abdulazeem, Thilo Caspar von Groote, Umesh Jayarajah, Ishanka Weerasekara, Meisam Abdar-Esfahani, Vinicius Tassoni Civile, Ana Marušić, Ana Jerončić, Nelson Carvas Junior, Tina Poklepović Peričić, Irena Zakarija-Grković, Silvana Mangeon Meirelles Guimarães, Nicola Luigi Bragazzi, Maria Björklund, Ahmad Sofi-Mahmudi, Mohammad Altujjar, Maoyi Tian, Diana Maria Cespedes Arcani, Dónal P. O’Mathúna, Milena Soriano Marcolino Description An account of the resource A growing body of literature on the 2019 novel coronavirus (SARS-CoV-2) is becoming available, but a synthesis of available data has not been conducted. We performed a scoping review of currently available clinical, epidemiological, laboratory, and chest imaging data related to the SARS-CoV-2 infection. We searched MEDLINE, Cochrane CENTRAL, EMBASE, Scopus and LILACS from 01 January 2019 to 24 February 2020. Study selection, data extraction and risk of bias assessment were performed by two independent reviewers. Qualitative synthesis and meta-analysis were conducted using the clinical and laboratory data, and random-effects models were applied to estimate pooled results. A total of 61 studies were included (59,254 patients). The most common disease-related symptoms were fever (82%, 95% confidence interval (CI) 56%–99%; n = 4410), cough (61%, 95% CI 39%–81%; n = 3985), muscle aches and/or fatigue (36%, 95% CI 18%–55%; n = 3778), dyspnea (26%, 95% CI 12%–41%; n = 3700), headache in 12% (95% CI 4%–23%, n = 3598 patients), sore throat in 10% (95% CI 5%–17%, n = 1387) and gastrointestinal symptoms in 9% (95% CI 3%–17%, n = 1744). Laboratory findings were described in a lower number of patients and revealed lymphopenia (0.93 × 109/L, 95% CI 0.83–1.03 × 109/L, n = 464) and abnormal C-reactive protein (33.72 mg/dL, 95% CI 21.54–45.91 mg/dL; n = 1637). Radiological findings varied, but mostly described ground-glass opacities and consolidation. Data on treatment options were limited. All-cause mortality was 0.3% (95% CI 0.0%–1.0%; n = 53,631). Epidemiological studies showed that mortality was higher in males and elderly patients. The majority of reported clinical symptoms and laboratory findings related to SARS-CoV-2 infection are non-specific. Clinical suspicion, accompanied by a relevant epidemiological history, should be followed by early imaging and virological assay. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource novel coronavirus, SARS-CoV-2, COVID-19, scoping review, Meta-analysis Identifier An unambiguous reference to the resource within a given context DOI: 10.3390/jcm9040941 Source A related resource from which the described resource is derived Journal of Clinical Medicine Publisher An entity responsible for making the resource available MDPI AG Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Medicine Language A language of the resource EN https://www.socictopen.socict.org/files/original/640fab29c988bf8d57953a055d621519.pdf b9e562111e339125d151a37ad3af0f9b Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Virology, Epidemiology, Pathogenesis, and Control of COVID-19 Creator An entity primarily responsible for making the resource Yuefei Jin, Haiyan Yang, Wangquan Ji, Weidong Wu, Shuai-yin Chen, Wei-Guo Zhang, Guangcai Duan Description An account of the resource The outbreak of emerging severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) disease (COVID-19) in China has been brought to global attention and declared a pandemic by the World Health Organization (WHO) on March 11, 2020. Scientific advancements since the pandemic of severe acute respiratory syndrome (SARS) in 2002~2003 and Middle East respiratory syndrome (MERS) in 2012 have accelerated our understanding of the epidemiology and pathogenesis of SARS-CoV-2 and the development of therapeutics to treat viral infection. As no specific therapeutics and vaccines are available for disease control, the epidemic of COVID-19 is posing a great threat for global public health. To provide a comprehensive summary to public health authorities and potential readers worldwide, we detail the present understanding of COVID-19 and introduce the current state of development of measures in this review. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource SARS-CoV-2, COVID-19, Epidemiology, pathogenesis, therapeutics Identifier An unambiguous reference to the resource within a given context DOI: 10.3390/v12040372 Source A related resource from which the described resource is derived Viruses Publisher An entity responsible for making the resource available MDPI AG Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Microbiology Language A language of the resource EN https://www.socictopen.socict.org/files/original/ed8d6101c6624a27056cc20fa2fccd24.pdf e67872fa4c749b47fb40f5853a087c3d Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A living systematic review protocol for COVID-19 clinical trial registrations [version 1; peer review: 2 approved] Creator An entity primarily responsible for making the resource Brittany J. Maguire, Philippe J. Guérin Description An account of the resource Since the coronavirus disease 2019 (COVID-19) outbreak was identified in December 2019 in Wuhan, China, a strong response from the research community has been observed with the proliferation of independent clinical trials assessing diagnostic methods, therapeutic and prophylactic strategies. While there is no intervention for the prevention or treatment of COVID-19 with proven clinical efficacy to date, tools to distil the current research landscape by intervention, level of evidence and those studies likely powered to address future research questions is essential. This living systematic review aims to provide an open, accessible and frequently updated resource summarising the characteristics of COVID-19 clinical trial registrations. Weekly search updates of the WHO International Clinical Trials Registry Platform (ICTRP) and source registries will be conducted. Data extraction by two independent reviewers of trial characteristic variables including categorisation of trial design, geographic location, intervention type and targets, level of evidence and intervention adaptability to low resource settings will be completed. Descriptive and thematic synthesis will be conducted. A searchable and interactive visualisation of the results database will be created, and made openly available online. Weekly results from the continued search updates will be published and made available on the Infectious Diseases Data Observatory (IDDO) website (COVID-19 website). This living systematic review will provide a useful resource of COVID-19 clinical trial registrations for researchers in a rapidly evolving context. In the future, this sustained review will allow prioritisation of research targets for individual patient data meta-analysis. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Identifier An unambiguous reference to the resource within a given context DOI: 10.12688/wellcomeopenres.15821.1 Source A related resource from which the described resource is derived Wellcome Open Research Publisher An entity responsible for making the resource available Wellcome Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Science, Medicine Language A language of the resource EN https://www.socictopen.socict.org/files/original/3a6e3334b98bd1240833991109afb8a3.pdf 2d555a300a4f806bb7117491789f5a6d Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Moral Obligation, Public Leadership, and Collective Action for Epidemic Prevention and Control: Evidence from the Corona Virus Disease 2019 (COVID-19) Emergency Creator An entity primarily responsible for making the resource Liu Yang, Yang Ren Description An account of the resource To investigate the effect of villagers’ moral obligation and village cadres’ public leadership on villagers’ collective action for epidemic prevention and control, against the background of the corona virus disease 2019 (COVID-19) emergency in China, we constructed models based on the institutional analysis and development (IAD) framework and employed principal component analysis (PCA) and ordered probit regression, drawing on survey data from 533 villagers in Henan province adjacent to the COVID-19 origin province, Hubei, China. The results indicate that: (1) generally, both moral obligation and public leadership as well as their constituent indicators contributed positively to collective action for COVID-19 prevention and control; (2) moreover, moral obligation and public leadership can strengthen each other’s positive role in collective action for COVID-19 prevention and control. Based on the above findings, this paper suggests that villagers’ moral obligation can be perfected through internalizing epidemic prevention and control norms into the villagers’ moral norms by the way of villagers mastering the rural public health governance scheme. In addition, public leadership can be improved through professional training of village cadres and by motivating village elites to run for village cadres. With improved villagers’ moral obligation and village cadres’ public leadership, collective action for epidemic prevention and control could be more likely to be realized. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource moral obligation, public leadership, Collective action, COVID-19 Identifier An unambiguous reference to the resource within a given context DOI: 10.3390/ijerph17082731 Source A related resource from which the described resource is derived International Journal of Environmental Research and Public Health Publisher An entity responsible for making the resource available MDPI AG Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Medicine Language A language of the resource EN https://www.socictopen.socict.org/files/original/72a83d6579ec7d9c81d43e37c56049d9.pdf 6fe750f22385150d52abfb607469bf28 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource The Relationship between the Migrant Population’s Migration Network and the Risk of COVID-19 Transmission in China—Empirical Analysis and Prediction in Prefecture-Level Cities Creator An entity primarily responsible for making the resource Chenjing Fan, Tianmin Cai, Zhenyu Gai, Yuerong Wu Description An account of the resource The outbreak of COVID-19 in China has attracted wide attention from all over the world. The impact of COVID-19 has been significant, raising concerns regarding public health risks in China and worldwide. Migration may be the primary reason for the long-distance transmission of the disease. In this study, the following analyses were performed. (1) Using the data from the China migrant population survey in 2017 (Sample size = 432,907), a matrix of the residence–birthplace (R-B matrix) of migrant populations is constructed. The matrix was used to analyze the confirmed cases of COVID-19 at Prefecture-level Cities from February 1–15, 2020 after the outbreak in Wuhan, by calculating the probability of influx or outflow migration. We obtain a satisfactory regression analysis result (R2 = 0.826–0.887, N = 330). (2) We use this R-B matrix to simulate an outbreak scenario in 22 immigrant cities in China, and propose risk prevention measures after the outbreak. If similar scenarios occur in the cities of Wenzhou, Guangzhou, Dongguan, or Shenzhen, the disease transmission will be wider. (3) We also use a matrix to determine that cities in Henan province, Anhui province, and Municipalities (such as Beijing, Shanghai, Guangzhou, Shenzhen, Chongqing) in China will have a high risk level of disease carriers after a similar emerging epidemic outbreak scenario due to a high influx or outflow of migrant populations. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource Migrant Population, COVID-19 transmission, Spring Festival travel rush, China, migration network, emerging epidemic Identifier An unambiguous reference to the resource within a given context DOI: 10.3390/ijerph17082630 Source A related resource from which the described resource is derived International Journal of Environmental Research and Public Health Publisher An entity responsible for making the resource available MDPI AG Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Medicine Language A language of the resource EN