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.

Example Input: Many factors influence the choice of methods used to develop antibody to infectious agents. In this paper, we review the current status of the main technologies used to produce monoclonal antibodies (mAbs) from the B cells of antigen-sensitized animals. While companies are adopting advanced high-throughput methods, the major technologies used by veterinary and medical research laboratories are classical hybridoma fusion and recombinant library selection techniques. These methods have inherent advantages and limitations but have many common aspects when using immunized rodents. Laboratories with expertise in both methods of antibody development have a distinct advantage in their ability to advance mAb technology. New and re-emerging infectious threats in todayOs world emphasize the need for quality immunoreagents and the need to maintain expertise in mAb development. We provide examples of some common applications for mAb reagents used to identify pathogens such as the SARS-coronavirus (SARS-CoV), Bacillus anthracis, and foot-and-mouth disease (FMD) virus. We also outline a framework for investigators to make rational decisions concerning which method to use to develop mAbs based upon characteristics of the pathogen under study and the intended downstream application. Lastly, we provide parameters for the immunisation of mice and a classification system which describes the expected outcome for mAb development strategies when using classes of immunogens to generate mAbs with desired activities. Crown Abbreviations: mAb; monoclonal antibody; SARS-CoV; severe acute respiratory syndrome coronavirus; FMD virus; foot-and-mouth disease virus; PA; protective antigen of Bacillus anthracis; BSA; bovine serum albumin; FBS; fetal bovine serum; HAT; hypoxanthine-aminopterin-thymidine; scFv; single chain variable fragment; Fab; fragment responsible for antigen binding; PBL; peripheral blood leucocytes; VP-1; viral protein 1 or 1D viral protein of FMD virus; IEM; immuno-electron microscopy; IHC; immunohistochemistry; IFA; immunoflourescence; V-genes; immunoglobulin variable region genes, responsible for encoding the antigen contact domains. *
Example Output: Rational monoclonal antibody development to emerging pathogens, biothreat agents and agents of foreign animal disease: The antigen scale

Example Input: Acute respiratory tract infections (ARI) are a major burden in pediatric long-term care. We analyzed the financial impact of ARI in 2012-2013. Costs associated with ARI during the respiratory viral season were ten times greater than during the non-respiratory viral season, $31 224 and $3242 per 1000 patient-days, respectively (P < 0A001). ARI are burdensome for pediatric long-term care facilities not only because of the associated morbidity and mortality, but also due to the great financial costs of prevention. Please cite this paper as: Murray et al. (2016) Direct costs of acute respiratory infections in a pediatric long-term care facility. Influenza and Other Respiratory Viruses 10(1), 34-36.
Example Output: Direct costs of acute respiratory infections in a pediatric long-term care facility

Example Input: Background: The World Health Organization recommends periodic evaluations of influenza surveillance systems to identify areas for improvement and provide evidence of data reliability for policymaking. However, data about the performance of established influenza surveillance systems are limited in Africa, including in the Democratic Republic of Congo (DRC). Methods: We used the Centers for Disease Control and Prevention guidelines to evaluate the performance of the influenza sentinel surveillance system (ISSS) in DRC during 2012-2015. The performance of the system was evaluated using eight surveillance attributes: (i) data quality and completeness for key variables, (ii) timeliness, (iii) representativeness, (iv) flexibility, (v) simplicity, (vi) acceptability, (vii) stability and (viii) utility. For each attribute, specific indicators were developed and described using quantitative and qualitative methods. Scores for each indicator were as follows: < 60% weak performance; 60-79% moderate performance; 80% good performance. Results: During 2012-2015, we enrolled and tested 4339 patients with influenza-like illness (ILI) and 2869 patients with severe acute respiratory illness (SARI) from 11 sentinel sites situated in 5 of 11 provinces. Influenza viruses were detected in 446 (10.3%) samples from patients with ILI and in 151 (5.5%) samples from patients with SARI with higher detection during December-May. Data quality and completeness was > 90% for all evaluated indicators. Other strengths of the system were timeliness, simplicity, stability and utility that scored > 70% each. Representativeness, flexibility and acceptability had moderate performance. It was reported that the ISSS contributed to: (i) a better understanding of the epidemiology, circulating patterns and proportional contribution of influenza virus among patients with ILI or SARI; (ii) acquisition of new key competences related to influenza surveillance and diagnosis; and (iii) continuous education of surveillance staff and clinicians at sentinel sites about influenza. However, due to limited resources no actions were undertaken to mitigate the impact of seasonal influenza epidemics. Conclusions: The system performed overall satisfactorily and provided reliable and timely data about influenza circulation in DRC. The simplicity of the system contributed to its stability. A better use of the available data could be made to inform and promote prevention interventions especially among the most vulnerable groups.
Example Output:
Evaluation of the influenza sentinel surveillance system in the Democratic Republic of Congo, 2012-2015