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.

[EX Q]: 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.
[EX A]: Infection preventionists' experience during the first months of the 2009 novel H1N1 influenza A pandemic

[EX Q]: Fecal microbial transplantation (FMT), a treatment for certain gastrointestinal conditions associated with dysbiosis in people, is also empirically employed in horses with colitis. This study used microbiota high-throughput sequencing to compare the fecal microbial profile of healthy horses to that of geriatric microbial transplant recipients experiencing diarrhea and tested whether FMT restores microbiota diversity. To evaluate the effect of environment and donor characteristics on the intestinal microbiota, fecal samples were collected per rectum from 15 healthy young-adult (2-12 years) and 15 geriatric (�20 years) horses. Additionally, FMT was performed for 3 consecutive days in 5 geriatric horses with diarrhea using feces from the same healthy donor. Fecal samples were collected from both donor and recipient prior to each FMT and from recipients 24 hours following the last FMT. The profile of the fecal bacterial microbiota was compared using 16S amplicon sequencing.
[EX A]: The fecal microbiota of healthy donor horses and geriatric recipients undergoing fecal microbial transplantation for the treatment of diarrhea

[EX Q]: Heterogeneities in contact networks have a major effect in determining whether a pathogen can become epidemic or persist at endemic levels. Epidemic models that determine which interventions can successfully prevent an outbreak need to account for social structure and mixing patterns. Contact patterns vary across age and locations (e.g. home, work, and school), and including them as predictors in transmission dynamic models of pathogens that spread socially will improve the models' realism. Data from population-based contact diaries in eight European countries from the POLYMOD study were projected to 144 other countries using a Bayesian hierarchical model that estimated the proclivity of age-and-location-specific contact patterns for the countries, using Markov chain Monte Carlo simulation. Household level data from the Demographic and Health Surveys for nine lower-income countries and socio-demographic factors from several on-line databases for 152 countries were used to quantify similarity of countries to estimate contact patterns in the home, work, school and other locations for countries for which no contact data are available, accounting for demographic structure, household structure where known, and a variety of metrics including workforce participation and school enrolment. Contacts are highly assortative with age across all countries considered, but pronounced regional differences in the age-specific contacts at home were noticeable, with more inter-generational contacts in Asian countries than in other settings. Moreover, there were variations in contact patterns by location, with workplace contacts being least assortative. These variations led to differences in the effect of social distancing measures in an age structured epidemic model. Contacts have an important role in transmission dynamic models that use contact rates to characterize the spread of contact-transmissible diseases. This study provides estimates of mixing patterns for societies for which contact data such as POLYMOD are not yet available. PLOS Computational Biology | https://doi.org/10.1371/journal.pcbi.
[EX A]:
Projecting social contact matrices in 152 countries using contact surveys and demographic data Author summary