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".

Ex Input:
Paragraph: This study compares the frequency and severity of influenza A/H1N1pdm09 (A/H1), influenza A/H3N2 (A/H3) and other respiratory virus infections in hospitalised patients. Data from 17 332 adult hospitalised patients admitted to Sir Charles Gairdner Hospital, Perth, Western Australia, with a respiratory illness between 2012 and 2015 were linked with data containing reverse transcription polymerase chain reaction results for respiratory viruses including A/H1, A/H3, influenza B, human metapneumovirus, respiratory syncytial virus and parainfluenza. Of these, 1753 (10.1%) had test results. Multivariable regression analyses were conducted to compare the viruses for clinical outcomes including ICU admission, ventilation, pneumonia, length of stay and death. Patients with A/H1 were more likely to experience severe outcomes such as ICU admission (OR 2.5, 95% CI 1.2-5.5, P = 0.016), pneumonia (OR 3.0, 95% CI 1.6-5.7, P < 0.001) and lower risk of discharge from hospital (indicating longer lengths of hospitalisation; HR 0.64 95% CI 0.47-0.88, P = 0.005), than patients with A/H3. Patients with a non-influenza respiratory virus were less likely to experience severe clinical outcomes than patients with A/H1, however, had similar likelihood when compared to patients with A/H3. Patients hospitalised with A/H1 had higher odds of severe outcomes than patients with A/H3 or other respiratory viruses. Knowledge of circulating influenza strains is important for healthcare preparedness. 
 Title: Epidemiology and Infection Post-pandemic influenza A/H1N1pdm09 is associated with more severe outcomes than A/H3N2 and other respiratory viruses in adult hospitalisations

Ex Output:
True


Ex Input:
Paragraph: was first discovered in 2012. MERS-CoV can infect multiple host species and cause severe diseases in human. We conducted a series of phylogenetic and bioinformatic analyses to study the evolution dynamics of MERS-CoV among different host species with genomic data. Our analyses show: 1) 28 potential recombinant sequences were detected and they can be classified into seven potential recombinant types; 2) The spike (S) protein of MERS-CoV was under strong positive selection when Middle East Respiratory Syndrome coronavirus (MERS-CoV) is a novel beta-coronavirus with high pathogenicity, which imposes a serious threat to human health 1 . Substantial evidence has showed that MERS-CoVs have existed in central and east Africa for decades 2,3 , and have many natural hosts including two species of bats (Neoromicia capensis and Vespertilio superans), dromedary camel (Camelus dromedarius), and European hedgehog (Erinaceus europaeus) 4-7 . Yet it seemed that human MERS-CoV first isolated in Saudi Arabian in 2012, and then spread among humans worldwide 8 . Studies of prototype human MERS-CoV also suggested that the tMRCA (the time of most recent common ancestor) of human MERS-CoV can be traced back to about 2011 9 . Because the genome sequence of bat MERS-CoV is highly identical to that of human MERS-CoV, it has been indicated that human MERS-CoV might have a bat origin 10 , while there is also some evidence of camel-to-human MERS-CoV transmission 11,12 . Together, these studies proposed that zoonotic event may play a nontrivial part in MERS-CoV evolution and transmission. Previous studies showed that recombination was common among the members of beta-coronavirus 13,14 . By joining the previously unlinked DNA, recombination event can create new viral strains which may be capable of infecting new hosts and evading host's immuno-responses. The phylogenetic analysis showed that there were two main MERS-CoV clades-clade A and B, and clade B can be further divided into five phylogenetic groups 15 . There is evidence that recombination event had happened between group III and group V 15 . However, whether there was potential recombination event happened between the other groups or among multiple phylogenetic groups remains unclear. The genome of MERS-CoV is over 30,000 nucleotides (nt) in length, which contains seven predicted open reading frames (ORFs) and four structural genes-spike (S), envelope (E), membrane (M), and nucleocapsid (N) 16 (supplementary Fig. 1c ). The surface located spike (S) protein of beta-coronaviruses is one of the major determinants in their cross-species transmission because it mediates the virus-receptor recognition and thereby activates viral infection process 17 . Additionally, the receptor binding domain (RBD) on S protein's N-terminal is the key element for beta-coronavirus entering into host cells and the mutations in coronavirus's RBD affects its infection and cross-species capability 18, 19 . For example, the study of the spike protein from severe acute respiratory syndrome coronavirus (SARS-CoV), another beta-coronavirus with high pathogenicity, revealed four amino 
 Title: Evolutionary Dynamics of MERS- CoV: Potential Recombination, Positive Selection and Transmission OPEN

Ex Output:
False


Ex Input:
Paragraph: Middle East respiratory syndrome coronavirus is a contagious respiratory pathogen that is contracted via close contact with an infected subject. Transmission of the pathogen has occurred through animal-to-human contact at first followed by human-to-human contact within families and health care facilities. This study is based on a retrospective analysis of the Middle East respiratory syndrome coronavirus outbreak in the Kingdom of Saudi Arabia between June 2012 and July 2015. A Geoadditive variable model for binary outcomes was applied to account for both individual level risk factors as well spatial variation via a fully Bayesian approach. Out of 959 confirmed cases, 642 (67%) were males and 317 (33%) had died. Three hundred and sixty four (38%) cases occurred in Ar Riyad province, while 325 (34%) cases occurred in Makkah. Individuals with some comorbidity had a significantly higher likelihood of dying from MERS-CoV compared with those who did not suffer comorbidity [Odds ratio (OR) = 2.071; 95% confidence interval (CI): 1.307, 3.263]. Health-care workers were significantly less likely to die from the disease compared with non-health workers [OR = 0.372, 95% CI: 0.151, 0.827]. Patients who had fatal clinical experience and those with clinical and subclinical experiences were equally less likely to die from the disease compared with patients who did not have fatal clinical experience and those without clinical and subclinical experiences respectively. The odds of dying from the disease was found to increase as age increased beyond 25 years and was much higher for individuals with any underlying comorbidities. 
 Title: Spatial modelling of contribution of individual level risk factors for mortality from Middle East respiratory syndrome coronavirus in the Arabian Peninsula

Ex Output:

False


