TASK DEFINITION: In this task, you're given a paragraph and title from the research paper. Your task is to classify whether the given title is suitable or not for the research paper based on the given paragraph. Return "True" if title is proper according to paragraph else "False".
PROBLEM: Paragraph: 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. 
 Title: Evaluation of the influenza sentinel surveillance system in the Democratic Republic of Congo, 2012-2015

SOLUTION: True

PROBLEM: Paragraph: Hepatitis C virus (HCV) infects more than 2 % of the world population with highest prevalence in parts of Africa and Asia. Past standard of care using interferon α and ribavirin had adverse effects and showed modest efficacy for some HCV genotypes spurring the development of direct acting antivirals (DAAs). Such DAAs target viral proteins and are thus better tolerated but they suffer from emergence of vial resistance. Furthermore, DAAs are often HCV genotype specific. Novel drug candidates targeting host factors required for HCV propagation, so called host-targeting antivirals (HTAs), promise to overcome both caveats. The genetic barrier to resistance is usually considered to be high for HTAs and all HCV genotypes presumably use the same host factors. Recent data, however, challenge these assumptions, at least for some HTAs. Here, we highlight the most important hosttargeting strategies against hepatitis C and critically discuss their opportunities and risks. 
 Title: Opportunities and Risks of Host-targeting Antiviral Strategies for Hepatitis C

SOLUTION: True

PROBLEM: Paragraph: A real-time RT-PCR assay was standardized and evaluated for the detection of the recent pandemic 2009 H1N1 strain that circulated around the world causing colossal loss of human life. We amplified the conserved regions of the hemagglutinin (HA) gene of 438 clinical specimens using real-time RT-PCR assay for rapid identification of pandemic influenza virus. The real-time RT-PCR was optimized and the primers and probes were tested against a panel of known negative and positive controls. RNA isolated from the HeLa cell line served as quality control. The conventional RT-PCR which is an established method of influenza virus diagnosis was compared to realtime RT-PCR. Of 438 clinical specimens tested, 212 specimens were found positive for influenza A virus (SD 46.669) in which 139 specimens were diagnosed positive for the pandemic 2009 H1N1 while 73 were the seasonal influenza viruses. We report that the real-time RT-PCR assay offers both, a high sensitivity and specificity when compared with the traditional identification method. The real-time RT-PCR assay allows rapid identification of the pandemic swine 2009-H1N1 at very low viral loads that are negative by the traditional RT-PCR. This optimized assay can be a very useful tool to assist both epidemiologists and the clinicians. 
 Title: Diagnosis of Novel Pandemic Influenza Virus 2009 H1N1 in Hospitalized Patients

SOLUTION:
False