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.

Input: Consider Input: It is reported that bacterial colonization of the airway in neonates affects the likelihood and severity of subsequent wheezing in childhood. This study aimed to explore the impact of bacterial colonization on the severity of virus-induced wheezing, and accompanying airway inflammation. Nasopharyngeal aspirates (NPAs) from 68 hospitalized children with bronchiolitis and 85 children with recurrent wheezing were obtained. Eleven common respiratory viruses were sought by PCR and/or direct fluorescence assay. Bacteria were isolated from NPAs by routine culture methods. Cell numbers and concentrations of cytokines/chemokines in the NPAs were measured, and nucleated cells were characterized. The frequency of bacterial colonization in children with recurrent wheezing was significantly higher than in children with an initial attack of bronchiolitis. Bacterial colonization accompanying virus infection had no effect on clinical manifestations, duration of hospitalization, concentrations of cytokines/chemokines (except interleukin-10 (IL-10)) or cellularity in the children with bronchiolitis; however, among the children with recurrent wheezing, those who had coexistent non-invasive bacterial colonization and virus infection presented more frequent cyanosis, longer duration of hospitalization, a higher concentration of IL-10 and a higher percentage of neutrophils in NPAs than those with virus infection but without bacterial colonization. Bacterial colonization was common in children with virus-induced wheezing, particularly in the situation of recurrent wheezing. To some extent, bacterial colonization accompanying virus infection may contribute to the severity of the wheezing because of its impact on airway inflammation.

Output: Impact of bacterial colonization on the severity, and accompanying airway inflammation, of virus-induced wheezing in children


Input: Consider Input: A reverse genetics system for the avian coronavirus infectious bronchitis virus (IBV) has been described in which a full-length cDNA, corresponding to the IBV (Beaudette-CK) genome, was inserted into the vaccinia virus genome following in vitro assembly of three contiguous cDNAs [Casais, R., Thiel, V., Siddell, S.G., Cavanagh, D., Britton, P., 2001. Reverse genetics system for the avian coronavirus infectious bronchitis virus. J. Virol. 75, 12359-12369]. The method has subsequently been used to generate a recombinant IBV expressing a chimaeric S gene [Casais, R., Dove, B., Cavanagh, D., Britton, P., 2003. Recombinant avian infectious bronchitis virus expressing a heterologous spike gene demonstrates that the spike protein is a determinant of cell tropism. J. Virol. 77, 9084-9089]. Use of vaccinia virus as a vector for the full-length cDNA of the IBV genome has the advantage that modifications can be made to the IBV cDNA using homologous recombination, a method frequently used to insert and delete sequences from the vaccinia virus genome. We describe the use of homologous recombination as a method for modifying the Beaudette full-length cDNA, within the vaccinia virus genome, without the requirement for in vitro assembly of the IBV cDNA. To demonstrate the feasibility of the method we exchanged the ectodomain of the Beaudette spike gene for the corresponding region from IBV M41 and generated two recombinant infectious bronchitis viruses (rIBVs) expressing the chimaeric S protein, validating the method as an alternative way for generating rIBVs.

Output: Generation of a recombinant avian coronavirus infectious bronchitis virus using transient dominant selection


Input: Consider Input: Motivated by the rapid upsurge of COVID-19 cases in the United States beginning March 2020, we forecast the disease spread and assess the effectiveness of containment strategies by using an estalished network-driven epidemic dynamic model. Our model is initialized using the daily counts of active and confirmed COVID-19 cases across the US. Based on our model predictions for the March 14-16 timeframe, the national epidemic peak could be expected to arrive by early June, corresponding to a daily active count of ≈ 7% of the US population, if no containment plans are implemented. Epidemic peaks are expected to arrive in the states of Washington and New York by May 21 and 25, respectively. With a modest 25% reduction in COVID-19 transmissibility via community-level interventions, the epidemic progression could be delayed by up to 34 days. Wholesale interstate traffic restriction is ineffective in delaying the epidemic outbreak, but it does desynchronize the arrival of state-wise epidemic peaks, which could potentially alleviate the burden on limited available medical resources. In addition to forecasting the arrival timeline of the state-wise epidemic peaks, we attempt at informing the optimal timing necessary to enforce community-level interventions. Our findings underscore the pressing need for preparedness and timely interventions in states with a large fraction of the vulnerable uninsured and liquid-asset-poverty populations.


Output: Title: COVID-19 Progression Timeline and Effectiveness of Response-to-Spread Interventions across the United States