In this task, you're given a paragraph from the research paper and your task is to generate a suitable title for the research paper based on the given paper. Under 100 words is a good title length.

Example input: The severe acute respiratory syndrome (SARS) epidemic originating from China in 2002 was caused by a previously uncharacterized coronavirus that could be identified by specific RT-PCR amplification. Efforts to control future SARS outbreaks depend on the accurate and early identification of SARS-CoV infected patients. A real-time fluorogenic RT-PCR assay based on the 3 -noncoding region (3 -NCR) of SARS-CoV genome was developed as a quantitative SARS diagnostic tool. The ideal amplification efficiency of a sensitive SARS-CoV RT-PCR assay should yield an E value (PCR product concentration increase per amplification cycle) equal to 2.0. It was demonstrated that the 3 -NCR SARS-CoV based RT-PCR reactions could be formulated to reach excellent E values of 1.81, or 91% amplification efficacy. The SARS-CoV cDNA preparations derived from viral RNA extract and the cloned recombinant plasmid both exhibit the identical amplification characteristics, i.e. amplification efficacy using the same PCR formulation developed in this study. The viral genomic copy (or genomic equivalences, GE) per infectious unit (GE/pfu) of SARS-CoV used in this study was also established to be approximate 1200-1600:1. The assay's detection sensitivity could reach 0.005 pfu or 6-8 GE per assay. It was preliminarily demonstrated that the assay could efficiently detect SARS-CoV from clinical specimens of SARS probable and suspected patients identified in Taiwan. The 3 -NCR based SARS-CoV assay demonstrated 100% diagnostic specificity testing samples of patients with acute respiratory disease from a non-SARS epidemic region.
Example output: Development and evaluation of an efficient 3 -noncoding region-based SARS coronavirus (SARS-CoV) RT-PCR assay for detection of SARS-CoV
Example explanation: It's a correct title because the paragraph described the development of 3 -noncoding region of SARS-CoV genome and assay efficiently detecting SARS-CoV from clinical specimens.
Q: Background: Estimating the prevalence of severe or critical illness and case fatality of 19 outbreak in December, 2019 remains a challenge due to biases associated with surveillance, 25 data synthesis and reporting. We aimed to address this limitation in a systematic review and 26 meta-analysis and to examine the clinical, biochemical and radiological risk factors in a meta-27 regression. 28 Methods: PRISMA guidelines were followed. PubMed, Scopus and Web of Science were 29 searched using pre-specified keywords on March 07, 2020. Peer-reviewed empirical studies 30 examining rates of severe illness, critical illness and case fatality among COVID-19 patients 31 were examined. Numerators and denominators to compute the prevalence rates and risk factors 32 were extracted. Random-effects meta-analyses were performed. Results were corrected for 33 publication bias. Meta-regression analyses examined the moderator effects of potential risk 34 factors. 35 Results: The meta-analysis included 29 studies representing 2,090 individuals. Pooled rates of 36 severe illness, critical illness and case fatality among COVID-19 patients were 15%, 5% and 37 0.8% respectively. Adjusting for potential underreporting and publication bias, increased these 38 estimates to 26%, 16% and 7.4% respectively. Increasing age and elevated LDH consistently 39 predicted severe / critical disease and case fatality. Hypertension; fever and dyspnea at 40 presentation; and elevated CRP predicted increased severity. 41 Conclusions: Risk factors that emerged in our analyses predicting severity and case fatality 42 should inform clinicians to define endophenotypes possessing a greater risk. Estimated case 43 All rights reserved. No reuse allowed without permission. author/funder, who has granted medRxiv a license to display the preprint in perpetuity. : medRxiv preprint 3 fatality rate of 7.4% after correcting for publication bias underscores the importance of strict 44 adherence to preventive measures, case detection, surveillance and reporting. 45 46 A novel corona virus, first identified in Wuhan, China in late 2019, resulted in a 64 pandemic by the first quarter of 2020, contributed by the prolonged survival of the virus in the 65 environment and extended length of pre-or post-symptomatic and potential asymptomatic 66 shedding. 1-4 While the virus is known to cause only a mild illness in a majority, severe illness 67 characterized by respiratory distress requiring hospital admission is not uncommon. 5 68 Furthermore, the virus has the potential to precipitate a life-threatening critical illness, 69 characterized by respiratory failure, circulatory shock, sepsis or other organ failure, requiring 70 intensive care. 6, 7
A:
Title Case fatality rate in COVID-19: a systematic review and meta-analysis