Teacher: 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.
Teacher: Now, understand the problem? If you are still confused, see the following example:
The severe acute respiratory syndrome (SARS) epidemic originating from China in 2002 was caused by a previously uncharacterized coronavirus that could be identified by specific RT-PCR amplification. Efforts to control future SARS outbreaks depend on the accurate and early identification of SARS-CoV infected patients. A real-time fluorogenic RT-PCR assay based on the 3 -noncoding region (3 -NCR) of SARS-CoV genome was developed as a quantitative SARS diagnostic tool. The ideal amplification efficiency of a sensitive SARS-CoV RT-PCR assay should yield an E value (PCR product concentration increase per amplification cycle) equal to 2.0. It was demonstrated that the 3 -NCR SARS-CoV based RT-PCR reactions could be formulated to reach excellent E values of 1.81, or 91% amplification efficacy. The SARS-CoV cDNA preparations derived from viral RNA extract and the cloned recombinant plasmid both exhibit the identical amplification characteristics, i.e. amplification efficacy using the same PCR formulation developed in this study. The viral genomic copy (or genomic equivalences, GE) per infectious unit (GE/pfu) of SARS-CoV used in this study was also established to be approximate 1200-1600:1. The assay's detection sensitivity could reach 0.005 pfu or 6-8 GE per assay. It was preliminarily demonstrated that the assay could efficiently detect SARS-CoV from clinical specimens of SARS probable and suspected patients identified in Taiwan. The 3 -NCR based SARS-CoV assay demonstrated 100% diagnostic specificity testing samples of patients with acute respiratory disease from a non-SARS epidemic region.
Solution: Development and evaluation of an efficient 3 -noncoding region-based SARS coronavirus (SARS-CoV) RT-PCR assay for detection of SARS-CoV
Reason: It's a correct title because the paragraph described the development of 3 -noncoding region of SARS-CoV genome and assay efficiently detecting SARS-CoV from clinical specimens.

Now, solve this instance: The World Health Organization (WHO) has recommended that a severe acute respiratory syndrome (SARS) alert should be raised when two or more healthcare workers (HCW) in the same health care unit fulfil the SARS clinical criteria, with onset of illness in the same 10-day period. However, in a number of European countries (including Italy) data on reasons for sickness absence are not routinely collected within current HCW worker sickness reporting systems, because of concerns about privacy. To help plan for the implementation of the proposed alert system in Italy, we aimed to determine the minimum number of alert cases defining a cluster. Patients and Methods: Sickness absences longer than 7 days in HCW employed in three hospitals in 2003, were identified by checking the hospitals' administrative databases. HCW with onset of illness in the same 10-day period were contacted and asked whether they have been diagnosed with pneumonia. Results: Overall, 273 absences > 7 days were recorded and 36 clusters of at least two absences > 7 days were identified; a total of 94 HCW were involved in these clusters. Only two HCW involved in different clusters, reported pneumonia. Conclusion: The occurrence of clusters of two or more cases of pneumonia in HCW in the same hospital unit appears to be an uncommon event, and thus the alert system proposed is not likely to result in large numbers of false positive alerts. However, it may be difficult to implement this alert system in countries where clinical data on sickness absences are not routinely collected, and alternative mechanisms should be considered.
Student:
Clustered Cases of Pneumonia among Healthcare Workers over a 1-year Period in Three Italian Hospitals: Applying the WHO SARS Alert