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.

Containment of the SARS coronavirus (SCV) outbreak was accompanied by the rapid characterization of this new pathogen's genome sequence in 2003, encouraging the development of anti-SCV therapeutics using short interfering RNA (siRNA) inhibitors. A pair of siRNA duplexes identified as potent SCV inhibitors in vitro was evaluated for in vivo efficacy and safety in a rhesus macaque SARS model using intranasal administration with clinical viable delivery carrier in three dosing regimens. Observations of SCV-induced SARS-like symptoms, measurements of SCV RNA presence in the respiratory tract, microscopic inspections of lung histopathology, and immunohistochemistry sections from 21 tested macaques consistently demonstrated siRNA-mediated anti-SCV activity. The prophylactic and therapeutic efficacies resulted in relief of animals from SCV infectioninduced fever, diminished SCV in upper airway and lung alveoli, and milder acute diffuse alveoli damage (DAD). The dosages of siRNA used, 10 to 40 mg/kg, did not show any sign of siRNA-induced toxicity. These results support that a clinical investigation of this anti-SARS siRNA therapeutic agent is warranted. The study also illustrates the capability of siRNA to enable a massive reduction in development time for novel targeted therapeutic agents. We detail a representative example of large-mammal siRNA use.
Application of siRNA Against SARS in the Rhesus Macaque Model

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

In comparison with the major histocompatibility complexes (MHCs) of typical mammals, the chicken MHC is simple and compact with a single dominantly expressed class I molecule that can determine the immune response. In addition to providing useful information for the poultry industry and allowing insights into the evolution of the adaptive immune system, the simplicity of the chicken MHC has allowed the discovery of phenomena that are more difficult to discern in the more complicated mammalian systems. This review discusses the new concept that poorly expressed promiscuous class I alleles act as generalists to protect against a wide variety of infectious pathogens, while highly expressed fastidious class I alleles can act as specialists to protect against new and dangerous pathogens. An enormous body of knowledge about the MHC and MHC molecules has been amassed over the past 50 years, mostly due to work on humans and important biomedical model species like mice [1]. This information is extremely detailed, complex but well integrated, and crucially important both for basic scientific understanding of immune and autoimmune responses and for practical medical applications, including transplantation [2, 3] . What is the point of trying to understand the MHC in non-mammalian vertebrates, when there is such rich and relevant knowledge for placental mammals? Highlights
Generalists and Specialists: A New View of How MHC Class I Molecules Fight Infectious Pathogens