instruction:
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.
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Understanding viral transmission dynamics within populations of reservoir hosts can facilitate greater knowledge of the spillover of emerging infectious diseases. While bat-borne viruses are of concern to public health, investigations into their dynamics have been limited by a lack of longitudinal data from individual bats. Here, we examine capture-mark-recapture (CMR) data from a species of Australian bat (Myotis macropus) infected with a putative novel Alphacoronavirus within a Bayesian framework. Then, we developed epidemic models to estimate the effect of persistently infectious individuals (which shed viruses for extensive periods) on the probability of viral maintenance within the study population. We found that the CMR data analysis supported grouping of infectious bats into persistently and transiently infectious bats. Maintenance of coronavirus within the study population was more likely in an epidemic model that included both persistently and transiently infectious bats, compared with the epidemic model with non-grouping of bats. These findings, using rare CMR data from longitudinal samples of individual bats, increase our understanding of transmission dynamics of bat viral infectious diseases.
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Persistent infections support maintenance of a coronavirus in a population of Australian bats (Myotis macropus)


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Objective: Coronavirus disease 2019 (COVID-19) is an escalating global epidemic caused by SARS-CoV-2, with a high mortality in critical patients. Effective indicators for predicting disease severity in SARS-CoV-2 infected patients are urgently needed. Methods: In this study, 43 COVID-19 patients admitted in Chongqing Public Health Medical Center were involved. Demographic data, clinical features, and laboratory examinations were obtained through electronic medical records. Peripheral blood specimens were collected from COVID-19 patients and examined for lymphocyte subsets and cytokine profiles by flow cytometry. Potential contributing factors for prediction of disease severity were further analyzed. Results: A total of 43 COVID-19 patients were included in this study, including 29 mild patients and 14 sever patients. Severe patients were significantly older (61.9±9.4 vs 44.4±15.9) and had higher incidence in co-infection with bacteria compared to mild group (85.7%vs27.6%). Significantly more severe patients had the clinical symptoms of anhelation (78.6%) and asthma (71.4%). For laboratory examination, 57.1% severe cases showed significant reduction in lymphocyte count. The levels of Interluekin-6 (IL6), IL10, erythrocyte sedimentation rate (ESR) and D-Dimer (D-D) were significantly higher in severe patients than mild patients, while the level of albumin (ALB) was remarkably All rights reserved. No reuse allowed without permission. the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. : medRxiv preprint lower in severe patients. Further analysis demonstrated that ESR, D-D, age, ALB and IL6 were the major contributing factors for distinguishing severe patients from mild patients. Moreover, ESR was identified as the most powerful factor to predict disease progression of COVID-19 patients. : Age and the levels of ESR, D-D, ALB and IL6 are closely related to the disease severity of COVID-19 patients. ESR can be used as a valuable indicator for distinguishing severe COVID-19 patients in early stage, so as to increase the survival of severe patients.
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Potential Factors for Prediction of Disease Severity of COVID-19 Patients


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The subgenomic (sg) mRNAs of arteriviruses (order Nidovirales) form a 5-and 3-coterminal nested set with the viral genome. Their 5 common leader sequence is derived from the genomic 5-proximal region. Fusion of sg RNA leader and "body" segments involves a discontinuous transcription step. Presumably during minusstrand synthesis, the nascent RNA strand is transferred from one site in the genomic template to another, a process guided by conserved transcription-regulating sequences (TRSs) at these template sites. Subgenomic RNA species are produced in different but constant molar ratios, with the smallest RNAs usually being most abundant. Factors thought to influence sg RNA synthesis are size differences between sg RNA species, differences in sequence context between body TRSs, and the mutual influence (or competition) between strand transfer reactions occurring at different body TRSs. Using an Equine arteritis virus infectious cDNA clone, we investigated how body TRS activity affected sg RNA synthesis from neighboring body TRSs. Flanking sequences were standardized by head-to-tail insertion of several copies of an RNA7 body TRS cassette. A perfect gradient of sg RNA abundance, progressively favoring smaller RNA species, was observed. Disruption of body TRS function by mutagenesis did not have a significant effect on the activity of other TRSs. However, deletion of body TRS-containing regions enhanced synthesis of sg RNAs from upstream TRSs but not of those produced from downstream TRSs. The results of this study provide considerable support for the proposed discontinuous extension of minus-strand RNA synthesis as a crucial step in sg RNA synthesis.
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Regulation of Relative Abundance of Arterivirus Subgenomic mRNAs