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.

Ex Input:
To investigate the efficacy of intracerebral (IC) immunization in preventing viral spread in the brain, we immunized mice with inactivated rabies virus via the subcutaneous (SC) or IC route, followed by administration of a lethal dose of rabies virus (challenge virus standard strain), directly into the brains of immunized mice. Progressive paralytic neurological signs were observed in control and 75% of SC immunized mice, whereas only 20% of IC immunized mice exhibited symptoms. Neutralizing antibody titers in blood plasma were significantly elevated in SC and IC immunized mice, with the highest levels seen in IC immunized mice. Analysis of whole brain lysates revealed a strong induction of immunoglobulin in the brains of IC immunized mice that had virus neutralizing activity. Histopathological examination of brain tissue revealed mild encephalitis and disseminated viral antigen in control and SC immunized mice, but rare in IC immunized mice. These results suggest that IC immunization induces a preventive humoral immune response against intracerebrally inoculated rabies virus. Induction of neutralizing antibody in cerebrospinal fluid represents a putative therapeutic measure for the treatment of rabid animals and humans.

Ex Output:
Intracerebral vaccination suppresses the spread of rabies virus in the mouse brain

Ex Input:
Objectives: We aimed to develop a prospective prediction tool on CrimeaneCongo haemorrhagic fever (CCHF) to identify geographic regions at risk. The tool could support public health decision-makers in implementation of an effective control strategy in a timely manner. Methods: We used monthly surveillance data between 2004 and 2015 to predict case counts between 2016 and 2017 prospectively. The Turkish nationwide surveillance data set collected by the Ministry of Health contained 10 411 confirmed CCHF cases. We collected potential explanatory covariates about climate, land use, and animal and human populations at risk to capture spatiotemporal transmission dynamics. We developed a structured Gaussian process algorithm and prospectively tested this tool predicting the future year's cases given past years' cases. Results: We predicted the annual cases in 2016 and 2017 as 438 and 341, whereas the observed cases were 432 and 343, respectively. Pearson's correlation coefficient and normalized root mean squared error values for 2016 and 2017 predictions were (0.83; 0.58) and (0.87; 0.52), respectively. The most important covariates were found to be the number of settlements with fewer than 25 000 inhabitants, latitude, longitude and potential evapotranspiration (evaporation and transpiration). Conclusions: Main driving factors of CCHF dynamics were human population at risk in rural areas, geographical dependency and climate effect on ticks. Our model was able to prospectively predict the numbers of CCHF cases. Our proof-of-concept study also provided insight for understanding possible mechanisms of infectious diseases and found important directions for practice and policy to combat against emerging infectious diseases. C. Ak, Clin Microbiol Infect 2020;26:123.e1e123.e7

Ex Output:
A prospective prediction tool for understanding CrimeaneCongo haemorrhagic fever dynamics in Turkey

Ex Input:
The suggested bat origin for Middle East respiratory syndrome coronavirus (MERS-CoV) has revitalized the studies of other bat-derived coronaviruses with respect to interspecies transmission potential. Bat coronavirus (BatCoV) HKU9 is an important betacoronavirus (betaCoV) that is phylogenetically affiliated with the same genus as MERS-CoV. The bat surveillance data indicated that BatCoV HKU9 has been widely spreading and circulating in bats. This highlights the necessity of characterizing the virus for its potential to cross species barriers. The receptor binding domain (RBD) of the coronavirus spike (S) protein recognizes host receptors to mediate virus entry and is therefore a key factor determining the viral tropism and transmission capacity. In this study, the putative S RBD of BatCoV HKU9 (HKU9-RBD), which is homologous to other betaCoV RBDs that have been structurally and functionally defined, was characterized via a series of biophysical and crystallographic methods. By using surface plasmon resonance, we demonstrated that HKU9-RBD binds to neither SARS-CoV receptor ACE2 nor MERS-CoV receptor CD26. We further determined the atomic structure of HKU9-RBD, which as expected is composed of a core and an external subdomain. The core subdomain fold resembles those of other betaCoV RBDs, whereas the external subdomain is structurally unique with a single helix, explaining the inability of HKU9-RBD to react with either ACE2 or CD26. Via comparison of the available RBD structures, we further proposed a homologous intersubdomain binding mode in betaCoV RBDs that anchors the external subdomain to the core subdomain. The revealed RBD features would shed light on the evolution route of betaCoV. C oronaviruses are large, enveloped, and positive-stranded

Ex Output:
Putative Receptor Binding Domain of Bat-Derived Coronavirus HKU9 Spike Protein: Evolution of Betacoronavirus Receptor Binding Motifs