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".
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Question: 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-Barre 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

Answer: False

Question: Paragraph: We evaluated Qiagen EZ1 (Valencia, CA) and bioMerieux (Durham, NC) easyMAG extractors compared with Qiagen manual extraction using targets and matrices commonly available in the clinical laboratory. Pooled samples were spiked with various organisms, serially diluted, and extracted in duplicate. The organisms/matrices were Bordetella pertussis/bronchoalveolar lavage, herpes simplex virus II/cerebrospinal fluid, coxsackievirus A9/cerebrospinal fluid, BK virus/plasma, and Mycoplasma pneumoniae/endotracheal tube samples. Extracts were amplified in duplicate using realtime PCR assays, and amplification of the target at a cycle threshold of 35 using the manual method was used for comparison. Amplification efficiency of nucleic acids extracted by automated methods was similar to that by the manual method except for a loss of efficiency for M. pneumoniae in endotracheal tube samples. The EZ1 viral kit 2.0 gave better results for coxsackievirus A9 than the EZ1 viral kit version 1.0. At the lowest limit of detection (past a cycle threshold of 35), the easyMAG was more likely to produce amplifiable nucleic acid than were either the EZ1 or manual extraction. Operational complexity, defined as the number of manipulations required to obtain an extracted sample, was the lowest for the easyMAG. The easyMAG was the most expensive of the methods, followed by the EZ1 kit and manual extraction
Title: Comparison of Automated Nucleic Acid Extraction Methods with Manual Extraction

Answer: True

Question: Paragraph: J o u r n a l P r e -p r o o f 2 (Lanjuan Li); yidayang65@zju.edu.cn (Yida Yang) Highlight COVID-19 has be a great threat to world health. We aim to investigate clinical features of patients with abnormal imaging findings. Those with abnormal images have more obvious clinical and laboratory features. Combing clinical data with imaging score can predict severe/critical type. Purpose: To investigate the epidemiological, clinical characteristics of COVID-19 patients with abnormal imaging findings. Jan 17 to Feb 8 underwent CT or x-ray were enrolled. Epidemiological, clinical data were analyzed between those with abnormal or normal imaging findings. Results: Excluding 72 patients with normal images, 230 of 573 patients affected more than two lobes. The median radiograph score was 2.0 and there's negative correlation between the score and oxygenation index (=-0.657, P<0.001). Patients with abnormal images were older (46.6513.82), with higher rate of coexisting condition(28.8%), lower rate of exposure history and longer time between onset and confirmation(5d) than non-pneumonia patients(all P<0.05). Higher rate of fever, cough, expectoration, and headache, lower lymphocytes, albumin, serum sodium levels and higher total bilirubin, creatine kinase, lactate dehydrogenase and C-reactive J o u r n a l P r e -p r o o f 3 protein levels and lower oxygenation index were observed in pneumonia patients (all P<0.05). Muscle ache, shortness of breath, nausea and vomiting, lower lymphocytes levels and higher serum creatinine and radiograph score at admission were predictive factors for severe/critical subtype. Patients with abnormal images have more obvious clinical manifestations and laboratory changes. Combing clinical features and radiograph score can effectively predict severe/critical type.
Title: Journal Pre-proof Epidemiological, clinical characteristics of cases of SARS-CoV-2 infection with abnormal imaging findings clinical characteristics of cases of SARS-CoV-2 infection with abnormal imaging findings Epidemiological, clinical characteristics of cases of SARS-CoV-2 infection with abnormal imaging findings

Answer:
False