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]: 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. Ç. Ak, Clin Microbiol Infect 2020;26:123.e1e123.e7
[A]: A prospective prediction tool for understanding CrimeaneCongo haemorrhagic fever dynamics in Turkey


[Q]: Animal antimicrobial use and husbandry practices increase risk of emerging zoonotic disease and antibiotic resistance. We surveyed 700 households to elicit information on human and animal medicine use and husbandry practices. Households that owned livestock (n=265/459, 57.7%) reported using animal treatments 630 times during the previous 6 months; 57.6% obtained medicines, including antibiotics, from drug-sellers. Government animal health care providers were rarely visited (9.7 %), respondents more often sought animal health care from pharmacies and village doctors (70.6% and 11.9% respectively), citing the latter two as less costly and more successful based on past performance. Animal husbandry practices that could promote the transmission of microbes from animals to humans included: the proximity of chickens to humans (50.1% of households reported that the chickens slept in the bedroom); the shared use of natural bodies of water for human and animal bathing (78.3%); the use of livestock waste as fertilizer (60.9%); and gender roles that dictate that females are the primary care takers of poultry and children (62.8%). In the absence of an effective animal health care system, villagers must depend on local animal health care practitioners for treatment of their animals. Suboptimal use of antimicrobials coupled with unhygienic animal husbandry practices are important risk factors for emerging zoonotic disease and resistant pathogens.
[A]: Household animal and human medicine use and animal husbandry practices in rural Bangladesh: risk factors for emerging zoonotic disease and antibiotic resistance HHS Public Access


[Q]: Mapuera virus (MPRV) was isolated from a fruit bat in Brazil in 1979, but its host range and diseasecausing potential are unknown. Porcine rubulavirus (PoRV) was identified as the aetiological agent of disease outbreaks in pigs in Mexico during early 1980s, but the origin of PoRV remains elusive. In this study, the completed genome sequence of MPRV was determined, and the complete genome sequence of PoRV was assembled from previously published protein-coding genes and the noncoding genome regions determined from this study. Comparison of sequence and genome organization indicated that PoRV is more closely related to MPRV than to any other members of the genus Rubulavirus. In the P gene coding region of both viruses, there is an ORF located at the 5 0 end of the P gene overlapping with the P protein coding region, similar to the C protein ORF present in most viruses of the subfamily Paramyxovirinae, but ab-sent in other known rubulaviruses. Based on these findings, we hypothesise that PoRV may also originate from bats, and spillover events from bats to pigs, either directly or via an intermediate host, were responsible for the sporadic disease outbreaks observed in Mexico.
[A]:
Full-length genome sequence and genetic relationship of two paramyxoviruses isolated from bat and pigs in the Americas