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".

Input: Consider Input: Paragraph: Introduction: Outbreaks of infectious diseases trigger an increase in scientific research and output. Early in outbreaks, evidence is scarce, but it accumulates rapidly. We are continuously facing new disease outbreaks, including the new coronavirus (SARS-nCoV-2) in December 2019.The objective of this study was to describe the accumulation of evidence during the 2013-2016 Zika virus (ZIKV) outbreak in the Pacific and the Americas related to aetiological causal questions about congenital abnormalities and Guillain-Barré syndrome. Methods: We hypothesised that the temporal sequence would follow a pre-specified order, according to study design. We assessed 1) how long it takes before findings from a specific study design appear, 2) how publication of preprints could reduce the time to publication and 3) how time to publication evolves over time. Results: We included 346 publications published between March 6, 2014 and January 1, 2019. In the 2013--2016 ZIKV outbreak, case reports, case series and basic research studies were published first. Case-control and cohort studies appeared between 400-700 days after ZIKV was first detected in the region of the study origin. Delay due to the publication process were lowest at the beginning of the outbreak. Only 4.6% of the publications was available as preprints. Discussion: The accumulation of evidence over time in new causal problems generally followed a hierarchy. Preprints reduced the delay to initial publication. Our methods can be applied to new emerging infectious diseases. 
 Title: Emergence of evidence during disease outbreaks: lessons learnt from the Zika virus outbreak

Output: False


Input: Consider Input: Paragraph: Editor: M. Leeflang Multiplex PCR Point-of-care test Respiratory virus infection a b s t r a c t Objectives: To provide a summary of evidence for the diagnostic accuracies of three multiplex PCR systems (mPCRs)dBioFire FilmArray RP (FilmArray), Nanosphere Verigene RVþ test (Verigene RVþ) and Hologic Gen-Probe Prodesse assaysdon the detection of viral respiratory infections. Methods: A comprehensive search up to 1 July 2017 was conducted on Medline and Embase for studies that utilized FilmArray, Verigene RVþ and Prodesse for diagnosis of viral respiratory infections. A summary of diagnostic accuracies for the following five viruses were calculated: influenza A virus (FluA), influenza B virus, respiratory syncytial virus, human metapneumovirus and adenovirus. Hierarchical summary receiver operating curves were used for estimating the viral detection performance per assay. Results: Twenty studies of 5510 patient samples were eligible for analysis. Multiplex PCRs demonstrated high diagnostic accuracy, with area under the receiver operating characteristic curve (AUROC) equal to or more than 0.98 for all the above viruses except for adenovirus (AUROC 0.89). FilmArray, Verigene RVþ and ProFluþ (the only Prodesse assay with enough data) demonstrated a summary sensitivity for FluA of 0.911 (95% confidence interval, 0.848e0.949), 0.949 (95% confidence interval, 0.882e0.979) and 0.954 (95% confidence interval, 0.871e0.985), respectively. The three mPCRs were comparable in terms of detection of FluA. Conclusions: Point estimates calculated from eligible studies showed that the three mPCRs (FilmArray, Verigene RVþ and ProFluþ) are highly accurate and may provide important diagnostic information for early identification of respiratory virus infections. In patients with low pretest probability for FluA, these three mPCRs can predict a low possibility of infection and may justify withholding empirical antiviral treatments. H.-S. Huang, Clin Microbiol Infect 2018;24:1055 
 Title: Systematic review Multiplex PCR system for the rapid diagnosis of respiratory virus infection: systematic review and meta-analysis

Output: False


Input: Consider Input: Paragraph: Viruses of the Ebolavirus genus cause sporadic epidemics of severe and systemic febrile disease that are fueled by human-to-human transmission. Despite the notoriety of ebolaviruses, particularly Ebola virus (EBOV), as prominent viral hemorrhagic fever agents, and the international concern regarding Ebola virus disease (EVD) outbreaks, very little is known about the pathophysiology of EVD in humans and, in particular, about the human immune correlates of survival and immune memory. This lack of basic knowledge about physiological characteristics of EVD is probably attributable to the dearth of clinical and laboratory data gathered from past outbreaks. The unprecedented magnitude of the EVD epidemic that occurred in West Africa from 2013 to 2016 has allowed, for the first time, evaluation of clinical, epidemiological, and immunological parameters in a significant number of patients using state-of-the-art laboratory equipment. This review will summarize the data from the literature regarding human pathophysiologic and immunologic responses to filoviral infection. 
 Title: Ebola Virus Disease in Humans: Pathophysiology and Immunity


Output: False