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.

[Q]: Estimation of the fraction and contagiousness of undocumented novel coronavirus infections is critical for understanding the overall prevalence and pandemic potential of this disease. Many mild infections are typically not reported and, depending on their contagiousness, may support stealth transmission and the spread of documented infection. Here we use observations of reported infection and spread within China in conjunction with mobility data, a networked dynamic metapopulation model and Bayesian inference, to infer critical epidemiological characteristics associated with the emerging coronavirus, including the fraction of undocumented infections and their contagiousness. We estimate 86% of all infections were undocumented (95% CI: [82%-90%]) prior to the Wuhan travel shutdown (January 23, 2020). Per person, these undocumented . CC-BY 4.0 International license It is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not peer-reviewed) The copyright holder for this preprint .
[A]: Substantial undocumented infection facilitates the rapid dissemination of novel coronavirus (COVID-19)


[Q]: We have previously shown that immunotherapy directed against the protein Nogo-A leads to recovery on a skilled forelimb reaching task in rats after sensorimotor cortex stroke, which correlated with axonal and dendritic plasticity. Here we investigated anti-Nogo-A immunotherapy as an intervention to improve performance on a spatial memory task in aged rats after stroke, and whether cognitive recovery was correlated with structural plasticity. Aged rats underwent a unilateral distal permanent middle cerebral artery occlusion and one week later were treated with an anti-Nogo-A or control antibody. Nine weeks post-stroke, treated rats and normal aged rats were tested on the Morris water maze task. Following testing rats were sacrificed and brains processed for the Golgi-Cox method. Hippocampal CA3 and CA1 pyramidal and dentate gyrus granule cells were examined for dendritic length and number of branch segments, and CA3 and CA1 pyramidal cells were examined for spine density and morphology. Anti-Nogo-A immunotherapy given one week following stroke in aged rats improved performance on the reference memory portion of the Morris water maze task. However, this improved performance was not correlated with structural changes in the hippocampal neurons examined. Our finding of improved performance on the Morris water maze in aged rats after stroke and treatment with anti-Nogo-A immunotherapy demonstrates the promising therapeutic potential for anti-Nogo-A immunotherapy to treat cognitive deficits after stroke. The identification of sites of axonal and dendritic plasticity in the aged brain after stroke and treatment with anti-Nogo-A immunotherapy is still under investigation.
[A]: Corresponding Author) Research Service 151 Building 1 Hines VA Hospital 5000 S. Fifth Avenue Hines, IL, USA Behav Brain Res


[Q]: Influenza viruses are a major public health problem worldwide. Although influenza has been extensively researched, there are still many aspects that are not fully understood such as the effects of within and between-hosts dynamics and their impact on behavior change. Here, we develop mathematical models with multiple infection stages and estimate parameters based on within-host data to investigate the impact of behavior change on influenza dynamics. We divide the infected population into three and four groups based on the age of the infection, which corresponds to viral load shedding. We consider within-host data on viral shedding to estimate the length and force of infection of the different infectivity stages. Our results show that behavior changes, due to exogenous events (e.g., media coverage) and disease symptoms, are effective in delaying and lowering an epidemic peak. We show that the dynamics of viral shedding and symptoms, during the infection, are key features when considering epidemic prevention strategies. This study improves our understanding of the spread of influenza virus infection in the population and provides information about the impact of emergent behavior and its connection to the within and between-hosts dynamics.
[A]:
Connecting within and between-hosts dynamics in the influenza infection-staged epidemiological models with behavior change