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".

Q: Paragraph: In February 2014, health officials from around the world announced the Global Health Security Agenda, a critical effort to strengthen national and global systems to prevent, detect, and respond to infectious disease threats and to foster stronger collaboration across borders. With its increasing global roles and broad range of regulatory responsibilities in ensuring the availability, safety, and security of medical and food products, the US Food and Drug Administration (FDA) is engaged in a range of efforts in support of global health security. This article provides an overview of FDA's global health security roles, focusing on its responsibilities related to the development and use of medical countermeasures (MCMs) for preventing, detecting, and responding to global infectious disease and other public health emergency threats. The article also discusses several areas-antimicrobial resistance, food safety, and supply chain integrity-in which FDA's global health security roles continue to evolve and extend beyond MCMs and, in some cases, beyond traditional infectious disease threats. Brooke Courtney, JD, MPH, is Senior Regulatory Counsel, Office of Counterterrorism and Emerging Threats, Office of the Chief Scientist, Office of the Commissioner; Katherine C. Bond, ScD, is Director, Office 
 Title: Regulatory Underpinnings of Global Health Security: FDA's Roles in Preventing, Detecting, and Responding to Global Health Threats

A: True
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Q: Paragraph: Background. Recent trials suggest procalcitonin-based guidelines can reduce antibiotic use for respiratory infections. However, the accuracy of procalcitonin to discriminate between viral and bacterial pneumonia requires further dissection. Methods. We evaluated the association between serum procalcitonin concentration at hospital admission with pathogens detected in a multicenter prospective surveillance study of adults hospitalized with community-acquired pneumonia. Systematic pathogen testing included cultures, serology, urine antigen tests, and molecular detection. Accuracy of procalcitonin to discriminate between viral and bacterial pathogens was calculated. Results. Among 1735 patients, pathogens were identified in 645 (37%), including 169 (10%) with typical bacteria, 67 (4%) with atypical bacteria, and 409 (24%) with viruses only. Median procalcitonin concentration was lower with viral pathogens (0.09 ng/ mL; interquartile range [IQR], <0.05-0.54 ng/mL) than atypical bacteria (0.20 ng/mL; IQR, <0.05-0.87 ng/mL; P = .05), and typical bacteria (2.5 ng/mL; IQR, 0.29-12.2 ng/mL; P < .01). Procalcitonin discriminated bacterial pathogens, including typical and atypical bacteria, from viral pathogens with an area under the receiver operating characteristic (ROC) curve of 0.73 (95% confidence interval [CI], .69-.77). A procalcitonin threshold of 0.1 ng/mL resulted in 80.9% (95% CI, 75.3%-85.7%) sensitivity and 51.6% (95% CI, 46.6%-56.5%) specificity for identification of any bacterial pathogen. Procalcitonin discriminated between typical bacteria and the combined group of viruses and atypical bacteria with an area under the ROC curve of 0.79 (95% CI, .75-.82). Conclusions. No procalcitonin threshold perfectly discriminated between viral and bacterial pathogens, but higher procalcitonin strongly correlated with increased probability of bacterial pathogens, particularly typical bacteria. 
 Title: Clinical Infectious Diseases Clinical Infectious Diseases ® 2017;65(2):183-90 Procalcitonin as a Marker of Etiology in Adults Hospitalized With Community-Acquired Pneumonia

A: True
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Q: Paragraph: Objective: To explore socio-demographic data of the population as proxies for risk factors in disease transmission modeling at different geographic scales. Methods: Patient records of confirmed H1N1 influenza were analyzed at three geographic aggregation levels together with population census statistics. Results: The study confirmed that four population factors were related in different degrees to disease incidence, but the results varied according to spatial resolution. The degree of association actually decreased when data of a higher spatial resolution were used. Conclusions: We concluded that variables at suitable spatial resolution may be useful in improving the predictive powers of models for disease outbreaks. HOSTED BY 
 Title: Effects of geographic scale on population factors in acute disease diffusion analysis

A:
True
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