instruction:
In this task, you're given a paragraph from the research paper and your task is to generate a suitable title for the research paper based on the given paper. Under 100 words is a good title length.
question:
Background: A novel strain of influenza A (H1N1) was identified in April 2009 and developed into a pandemic by June 2009. This rapid and unexpected event had enormous implications for infection preventionists (IP) internationally. Lessons learned from this event should guide future pandemic planning efforts. Methods: Focus groups were conducted at the Association for Professionals in Infection Control and Epidemiology, Inc, (APIC) 2009 conference to evaluate IPs' experience with the novel H1N1 influenza pandemic and assess their perceived needs related to novel H1N1 topics and products required for future education and reference materials. Results: Forty IPs (37 from the United States and 3 international) participated in the focus groups. Needed reference materials identified by attendees included infection prevention guidance for nonacute care settings; occupational health polices; and brief, multilanguage patient/family educational materials. Educational topics on which IPs need to be trained include isolation precautions/ personal protective equipment recommendations for novel H1N1 patients, coordination between hospitals and community response agencies, and surge management. The rapidly changing and conflicting recommendations related to patient management made responding to this event challenging. IPs require synthesized infection prevention guidelines developed in a concise, real-time format. Conclusion: IPs must continue to partner with public health and other response agencies to address gaps in pandemic planning.
answer:
Infection preventionists' experience during the first months of the 2009 novel H1N1 influenza A pandemic


question:
Objective: Coronavirus disease 2019 (COVID-19) is an escalating global epidemic caused by SARS-CoV-2, with a high mortality in critical patients. Effective indicators for predicting disease severity in SARS-CoV-2 infected patients are urgently needed. Methods: In this study, 43 COVID-19 patients admitted in Chongqing Public Health Medical Center were involved. Demographic data, clinical features, and laboratory examinations were obtained through electronic medical records. Peripheral blood specimens were collected from COVID-19 patients and examined for lymphocyte subsets and cytokine profiles by flow cytometry. Potential contributing factors for prediction of disease severity were further analyzed. Results: A total of 43 COVID-19 patients were included in this study, including 29 mild patients and 14 sever patients. Severe patients were significantly older (61.9±9.4 vs 44.4±15.9) and had higher incidence in co-infection with bacteria compared to mild group (85.7%vs27.6%). Significantly more severe patients had the clinical symptoms of anhelation (78.6%) and asthma (71.4%). For laboratory examination, 57.1% severe cases showed significant reduction in lymphocyte count. The levels of Interluekin-6 (IL6), IL10, erythrocyte sedimentation rate (ESR) and D-Dimer (D-D) were significantly higher in severe patients than mild patients, while the level of albumin (ALB) was remarkably All rights reserved. No reuse allowed without permission. the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. : medRxiv preprint lower in severe patients. Further analysis demonstrated that ESR, D-D, age, ALB and IL6 were the major contributing factors for distinguishing severe patients from mild patients. Moreover, ESR was identified as the most powerful factor to predict disease progression of COVID-19 patients. : Age and the levels of ESR, D-D, ALB and IL6 are closely related to the disease severity of COVID-19 patients. ESR can be used as a valuable indicator for distinguishing severe COVID-19 patients in early stage, so as to increase the survival of severe patients.
answer:
Potential Factors for Prediction of Disease Severity of COVID-19 Patients


question:
Turkey adenovirus 3 (TAdV-3) causes high mortality and significant economic losses to the turkey industry. However, little is known about the molecular determinants required for viral replication and pathogenesis. Moreover, TAdV-3 does not grow well in cell culture, thus detailed structural studies of the infectious particle is particularly challenging. To develop a better understanding of virus-host interactions, we performed a comprehensive proteomic analysis of proteinase K treated purified TAdV-3 virions isolated from spleens of infected turkeys, by utilizing one-dimensional liquid chromatography mass spectrometry. Our analysis resulted in the identification of 13 viral proteins associated with TAdV-3 virions including a novel uncharacterized TaV3gp04 protein. Further, we detected 18 host proteins in purified virions, many of which are involved in cell-to cell spread, cytoskeleton dynamics and virus replication. Notably, seven of these host proteins have not yet been reported to be present in any other purified virus. In addition, five of these proteins are known antiviral host restriction factors. The availability of reagents allowed us to identify two cellular proteins (collagen alpha-1 (VI) chain and haemoglobin) in the purified TAdV-3 preparations. These results represent the first comprehensive proteomic profile of TAdV-3 and may provide information for illustrating TAdV-3 replication and pathogenesis.
answer:

Proteomic analysis of purified turkey adenovirus 3 virions