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                  <text>Coronavirus</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>The Development of Critical Care Medicine in China: From SARS to COVID-19 Pandemic</text>
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                <text>Haiyan Yin, Shan Wang, Youfeng Zhu, Rui Zhang, Xiaoling Ye, Jianrui Wei, Peter C. Hou</text>
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                <text>Background. Critical care medicine is a branch of medical science that deals with the characteristics and regularity of life-threatening processes initiated by any injury or disease and, accordingly, relevant treatment for patients with critical illness. Conceptions of critical care medicine in China stemmed in the early 1970s. Ever since the establishment of the first intensive care unit (ICU) along with the increasingly incomparable role of ICU in medical practices, critical care medicine has become an indispensable part of the Chinese medical and health system. Currently, critical care medicine as a secondary clinical discipline and a well-constructed science is in sustainable development on the way towards systematization and standardization. Methods. The gross domestic product (GDP) and population data were obtained from the National Bureau of Statistics. The number of ICUs, ICU beds, and hospital beds and other data regarding ICU staffing and facility resources were obtained from the Yearbook of Health in the People’s Republic of China and National Bureau of Statistics. The mortality rates of SARS and COVID-19 and the number of health workers aiding Hubei amid COVID-19 pandemic were obtained from the National Health Commission. Findings. Critical care medicine in mainland China has made significant strides: both quantity and quality are progressing at a fast pace after SARS in 2003. Although there exist some disparities in healthcare personnel and medical resources, they have not hindered the country from mobilizing its healthcare workers and resources against a public health emergency.</text>
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                <text>2020</text>
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                <text>10.1155/2020/3956732</text>
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            <description>A related resource from which the described resource is derived</description>
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                <text>Critical Care Research and Practice</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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                <text>Hindawi Limited</text>
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            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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                <text>Medical emergencies. Critical care. Intensive care. First aid</text>
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              <name>Title</name>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>An Artificial Intelligence–Based, Personalized Smartphone App to Improve Childhood Immunization Coverage and Timelines Among Children in Pakistan: Protocol for a Randomized Controlled Trial</text>
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                <text>Kazi, Abdul Momin, Qazi, Saad Ahmed, Khawaja, Sadori, Ahsan, Nazia, Ahmed, Rao Moueed, Sameen, Fareeha, Khan Mughal, Muhammad Ayub, Saqib, Muhammad, Ali, Sikander, Kaleemuddin, Hussain, Rauf, Yasir, Raza, Mehreen, Jamal, Saima, Abbasi, Munir, Stergioulas, Lampros K</text>
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                <text>BackgroundThe immunization uptake rates in Pakistan are much lower than desired. Major reasons include lack of awareness, parental forgetfulness regarding schedules, and misinformation regarding vaccines. In light of the COVID-19 pandemic and distancing measures, routine childhood immunization (RCI) coverage has been adversely affected, as caregivers avoid tertiary care hospitals or primary health centers. Innovative and cost-effective measures must be taken to understand and deal with the issue of low immunization rates. However, only a few smartphone-based interventions have been carried out in low- and middle-income countries (LMICs) to improve RCI.             ObjectiveThe primary objectives of this study are to evaluate whether a personalized mobile app can improve children’s on-time visits at 10 and 14 weeks of age for RCI as compared with standard care and to determine whether an artificial intelligence model can be incorporated into the app. Secondary objectives are to determine the perceptions and attitudes of caregivers regarding childhood vaccinations and to understand the factors that might influence the effect of a mobile phone–based app on vaccination improvement.             MethodsA mixed methods randomized controlled trial was designed with intervention and control arms. The study will be conducted at the Aga Khan University Hospital vaccination center. Caregivers of newborns or infants visiting the center for their children’s 6-week vaccination will be recruited. The intervention arm will have access to a smartphone app with text, voice, video, and pictorial messages regarding RCI. This app will be developed based on the findings of the pretrial qualitative component of the study, in addition to no-show study findings, which will explore caregivers’ perceptions about RCI and a mobile phone–based app in improving RCI coverage.             ResultsPretrial qualitative in-depth interviews were conducted in February 2020. Enrollment of study participants for the randomized controlled trial is in process. Study exit interviews will be conducted at the 14-week immunization visits, provided the caregivers visit the immunization facility at that time, or over the phone when the children are 18 weeks of age.             ConclusionsThis study will generate useful insights into the feasibility, acceptability, and usability of an Android-based smartphone app for improving RCI in Pakistan and in LMICs.             Trial RegistrationClinicalTrials.gov NCT04449107; https://clinicaltrials.gov/ct2/show/NCT04449107             International Registered Report Identifier (IRRID)DERR1-10.2196/22996</text>
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                <text>10.2196/22996</text>
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                <text>Epidemiology and Health</text>
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                <text>Korean Society of Epidemiology</text>
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                <text>Medicine, Computer applications to medicine. Medical informatics</text>
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                <text>Endogenous IFNβ expression predicts outcome in critical patients with COVID-19.</text>
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                <text>Soraya Maria Menezes, Marcos Braz, Veronica Llorens-Rico, Joost Wauters, Johan Van Weyenbergh</text>
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                <text>2021</text>
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                <text>10.1016/S2666-5247(21)00063-X</text>
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                <text>The Lancet. Microbe</text>
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                  <text>Dominio científico: Coronavirus</text>
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                <text>Higher order solitary solutions to the meta-model of diffusively coupled Lotka–Volterra systems</text>
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                <text>Inga Timofejeva, Tadas Telksnys, Zenonas Navickas, Romas Marcinkevicius, Minvydas Ragulskis</text>
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                <text>Abstract A meta-model of diffusively coupled Lotka–Volterra systems used to model various biomedical phenomena is considered in this paper. Necessary and sufficient conditions for the existence of nth order solitary solutions are derived via a modified inverse balancing technique. It is shown that as the highest possible solitary solution order n is increased, the number of nonzero solution parameter values remains constant for solitary solutions of order n &gt; 3 $n&gt;3$ . Analytical and computational experiments are used to illustrate the obtained results.</text>
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                <text>2021</text>
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                <text>analytical solution, non-linear differential equation, COVID model</text>
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                <text>10.1186/s13662-021-03300-4</text>
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                <text>Epidemiology and Health</text>
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                <text>Korean Society of Epidemiology</text>
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                <text>Mathematics</text>
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                <text>Of gratitude and hope in trying times.</text>
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                <text>Patrick D Fuller</text>
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                <text>covid-19, welfare, empathy, Hope, compassion, gratitude</text>
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                <text>10.1093/ajhp/zxaa330</text>
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                <text>American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists</text>
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