instruction:
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".
question:
Paragraph: The development and use of numerous animal models of human autoimmune diseases have provided important advances in our understanding of pathogenic mechanisms of disease and provided robust and reliable models to test novel therapeutic strategies. However, few preclinical studies of therapeutic treatments have demonstrated efficacy in the clinic, possibly because of the biological differences between humans and other animals. Although animal models of human disease are imperfect, it is important to understand the differences between the human disease and its animal models and to design experimental studies using animal models appropriately for the questions being asked. This review provides an overview of the currently used animal models of three human neuroimmunological diseases, multiple sclerosis, Guillain-Barré syndrome, and myasthenia gravis, as well as the advantages and disadvantages of each model and how they correlate or differ from their human counterpart. 
 Title: Animal Models for the Study of Neuroimmunological Disease
answer:
True


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-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
answer:
False


question:
Paragraph: We have developed a full genome virus detection process that combines sensitive nucleic acid preparation optimised for virus identification in fecal material with Illumina MiSeq sequencing and a novel post-sequencing virus identification algorithm. Enriched viral nucleic acid was converted to double-stranded DNA and subjected to Illumina MiSeq sequencing. The resulting short reads were processed with a novel iterative Python algorithm SLIM for the identification of sequences with homology to known viruses. De novo assembly was then used to generate full viral genomes. The sensitivity of this process was demonstrated with a set of fecal samples from HIV-1 infected patients. A quantitative assessment of the mammalian, plant, and bacterial virus content of this compartment was generated and the deep sequencing data were sufficient to assembly 12 complete viral genomes from 6 virus families. The method detected high levels of enteropathic viruses that are normally controlled in healthy adults, but may be involved in the pathogenesis of HIV-1 infection and will provide a powerful tool for virus detection and for analyzing changes in the fecal virome associated with HIV-1 progression and pathogenesis. 
 Title: Full Genome Virus Detection in Fecal Samples Using Sensitive Nucleic Acid Preparation, Deep Sequencing, and a Novel Iterative Sequence Classification Algorithm
answer:

False