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.
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Question: The basic reproduction number of an infectious agent is the average number of infections one case can generate over the course of the infectious period, in a naive, uninfected population. It is well-known that the estimation of this number may vary due to several methodological issues, including different assumptions and choice of parameters, utilized models, used datasets and estimation period. With the spreading of the novel coronavirus (2019-nCoV) infection, the reproduction number has been found to vary, reflecting the dynamics of transmission of the coronavirus outbreak as well as the case reporting rate. Due to significant variations in the control strategies, which have been changing over time, and thanks to the introduction of detection technologies that have been rapidly improved, enabling to shorten the time from infection/symptoms onset to diagnosis, leading to faster confirmation of the new coronavirus cases, our previous estimations on the transmission risk of the 2019-nCoV need to be revised. By using time-dependent contact and diagnose rates, we refit our previously proposed dynamics transmission model to the data available until January 29th , 2020 and re-estimated the effective daily reproduction ratio that better quantifies the evolution of the interventions. We estimated when the effective daily reproduction ratio has fallen below 1 and when the epidemics will peak. Our updated findings suggest that the best measure is persistent and strict self-isolation. The epidemics will continue to grow, and can peak soon with the peak time depending highly on the public health interventions practically implemented.

Answer: An updated estimation of the risk of transmission of the novel coronavirus (2019-nCov)-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Question: Sato, K., Inaba, Y., Kurogi, H., Takahashi, E., Satoda, K., Omori, T. and Matumoto, M.t 1977. Hemagglutination by calf diarrhea coronavirus. Vet. Microbiol., 2: 83--87. The virus was grown in BEK-1 cells, a stable cell line from bovine embryo kidney, and tested for hemagglutinafion (HA) with erythrocytes of a variety of species at 4C, room temperature and 37C. HA was observed at all temperatures with chicken, mouse, rat, and hamste~ erythrocytes but not with erythrocytes of human (O), cattle, horses, ~heep, guinea pigs, geese, duck~, pigeons and l-day-old chicks. Chickens showed a~ individual variation in agglutinability of their erythrocytes, requiring selection of birds to obtain erythrocytes for HA. HA reaction was inhibited by specific antiserum. Some factors involved in HA and HA inhibition (HI) were investigated and standard HA and HI tests were worked out.

Answer: Short Communication HEMAGGLUTINATION BY CALF DIARRHEA CORONAVIRUS

Question: Objective. In treating highly infectious COVID-19 pneumonia, ICU nurses face a high 34 risk of developing somatic symptom disorder (SSD). The present study aims to investigate 35 the symptoms and causes of SSD of ICU nurses treating COVID-19 pneumonia. The research 36 results are expected to provide evidence for the establishment of a better management 37 strategy. Methods. This study enrolled a total of 140 ICU nurses who were selected by Jiangsu 39 Province Hospital to work in Wuhan (the epicenter of the COVID-19 epidemic in China) on 40 3 rd February 2020. A questionnaire "Somatic Symptom Disorders for ICU Nurses in Wuhan 41 No.1 Hospital" was designed based on the "International Classification of Functioning, 42 Disability and Health" (ICF). Exploratory factor analysis was performed to cluster the 43 symptoms, and logistic regression analysis to find the risk factors of the symptoms. 44 Results. Five major symptoms were chest-discomfort-and-palpitation (31.4%), dyspnea 45 (30.7%), nausea (21.4%), headache (19.3%), and dizziness (17.9%). In exploratory factor 46 analysis, the symptoms were classified into three clusters: Cluster A of breathing and sleep 47 disturbances (dizziness, sleepiness, dyspnea); Cluster B of gastrointestinal complaints and 48 pain (nausea, headache), and Cluster C of general symptoms (xerostomia, fatigue, 49 chest-discomfort-and-palpitation). In Cluster A, urine/feces splash, sex, and sputum splash 50 were independent predictive factors. In Cluster B, fall of protective glasses and urine/feces 51 splash were independent predictive factors. In Cluster C, urine/feces splash and urine/feces 52 clearance were independent predictive factors. 53 Conclusion. The ICU nurses in Wuhan showed varying and overlapping SSDs. These 54 SSDs could be classified into three symptom clusters. Based on the characteristics of their 55 SSDs, specific interventions could be implemented to safeguard the health of ICU nurses. 56 57

Answer:
Journal Pre-proof Symptom Cluster of ICU nurses treating COVID-19 pneumonia patients in Wuhan, China Running Title: SSDs of ICU nurses treating COVID-19 pneumonia patients Symptom Cluster of ICU nurses treating COVID-19 pneumonia patients in Wuhan, China Somatic Symptom Disorders of ICU Nurses treating COVID-19 pneumonia patients in