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.

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.
Infection preventionists' experience during the first months of the 2009 novel H1N1 influenza A pandemic

Estimating temporal changes in a target population from phylogenetic or count data is an important problem in ecology and epidemiology. Reliable estimates can provide key insights into the climatic and biological drivers influencing the diversity or structure of that population and evidence hypotheses concerning its future growth or decline. In infectious disease applications, the individuals infected across an epidemic form the target population. The renewal model estimates the effective reproduction number, R, of the epidemic from counts of its observed cases. The skyline model infers the effective population size, N, underlying a phylogeny of sequences sampled from that epidemic. Practically, R measures ongoing epidemic growth while N informs on historical caseload. While both models solve distinct problems, the reliability of their estimates depends on p-dimensional piecewise-constant functions. If p is misspecified, the model might underfit significant changes or overfit noise and promote a spurious understanding of the epidemic, which might misguide intervention policies or misinform forecasts. Surprisingly, no transparent yet principled approach for optimising p exists. Usually, p is heuristically set, or obscurely controlled via complex algorithms. We present a computable and interpretable p-selection method based on the minimum description length (MDL) formalism of information theory. Unlike many standard model selection techniques, MDL accounts for the additional statistical complexity induced by how parameters interact. As a result, our method optimises p so that R and N estimates properly adapt to the available data. It also outperforms comparable Akaike and Bayesian information criteria on several classification problems. Our approach requires some knowledge of the parameter space and exposes the similarities between renewal and skyline models.
Adaptive Estimation for Epidemic Renewal and Phylogenetic Skyline Models

BACKGROUND: The goal of this study was to determine if IV magnesium, useful for severe pediatric asthma, reduces time to medical readiness for discharge in patients with bronchiolitis when added to supportive care. We compared a single dose of 100 mg/kg of IV magnesium sulfate vs placebo for acute bronchiolitis. Patients received bronchodilator therapy, nebulized hypertonic saline, and 5 days of dexamethasone if there was eczema and/or a family history of asthma. Time to medical readiness for discharge was the primary efficacy outcome. Bronchiolitis severity scores and need for infirmary or hospital admission and for clinic revisits within 2 weeks were secondary outcomes. Cardiorespiratory instability onset was the safety outcome. RESULTS: A total of 162 previously healthy infants diagnosed with bronchiolitis aged 22 days to 17.6 months (median, 3.7 months) were enrolled. Approximately one-half of patients had eczema and/or a family history of asthma; 86.4% had positive findings on nasopharyngeal virus swabs. Geometric mean time until medical readiness for discharge was 24.1 h (95% CI, 20.0-29.1) for the 78 magnesium-treated patients and 25.3 h (95% CI, 20.3-31.5) for the 82 patients receiving placebo (ratio, 0.95 [95% CI, 0.52-1.80]; P ¼ .91). Mean bronchiolitis severity scores over time were similar for the two groups. The frequency of clinic visits in the subsequent 2 weeks (33.8% and 27.2%, respectively) was also similar. Fifteen magnesium recipients (19.5%) vs five placebo recipients (6.2%) were readmitted to the infirmary or hospital within 2 weeks (P ¼ .016). No acute cardiorespiratory side effects were reported. CONCLUSIONS: IV magnesium did not provide benefit for patients with acute bronchiolitis and may be harmful.

IV Magnesium Sulfate for Bronchiolitis A Randomized Trial