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]: Introduction: Accurate and timely prediction for endemic infectious diseases is vital for public health agencies to plan and carry out any control methods at an early stage of disease outbreaks. Climatic variables has been identified as important predictors in models for infectious disease forecasts. Various approaches have been proposed in the literature to produce accurate and timely predictions and potentially improve public health response. Methods: We assessed how the machine learning LASSO method may be useful in providing useful forecasts for different pathogens in countries with different climates. Separate LASSO models were constructed for different disease/country/forecast window with different model complexity by including different sets of predictors to assess the importance of different predictors under various conditions. Results: There was a more apparent cyclicity for both climatic variables and incidence in regions further away from the equator. For most diseases, predictions made beyond 4 weeks ahead were increasingly discrepant from the actual scenario. Prediction models were more accurate in capturing the outbreak but less sensitive to predict the outbreak size. In different situations, climatic variables have different levels of importance in prediction accuracy. Conclusions: For LASSO models used for prediction, including different sets of predictors has varying effect in different situations. Short term predictions generally perform better than longer term predictions, suggesting public health agencies may need the capacity to respond at short-notice to early warnings.
[A]: The utility of LASSO-based models for real time forecasts of endemic infectious diseases: A cross country comparison


[Q]: Aim: An epidemiological study of canine parvovirus infection in dogs in and around Bhubaneswar, Odisha was conducted between December 2012 to March 2013 and prevalence rate was studied on the basis of age, breed, and sex. Materials and Methods: A total of 71 fecal samples from suspected diarrheic dogs were collected in sterile phosphate buffer saline (10% W/V) and examined by polymerase chain reaction (PCR) for detection of canine parvo virus infection, followed by epidemiological study in relation to age, breed, and sex. Results: Of 71 samples analyzed, 29 (40.85%) were found to be positive by PCR assay. The infection was higher in Deshi/ local breeds (34.48%), followed by German shepherd (17.24%), equal incidences in mixed and Labrador retriever (10.34%), Rottweiler and German spitz showed 6.90% each and finally lower incidences in four breeds (3.45%) such as Dalmatians, Nea politan mastiff, Pug and Great Dane. Age-wise prevalence study revealed the infection being more in the age group of 3-6 months (41.37%), followed by equal incidences of 27.59% in 1-3 months and 6-12 months age group, and a low incidence in age groups above 12 months (3.45%). The incidence was predominantly higher in males (86.21%) than females (13.79%). The epidemiological analysis revealed that the breed wise prevalence was found to be more in Deshi breeds as compared to others, age groups below 6 months were found to be more prone to parvovirus infection and males were mostly infected.
[A]: Epidemiological study of canine parvovirus infection in and around Bhubaneswar, Odisha, India


[Q]: Background: The Kingdom of Saudi Arabia has experienced a prolonged outbreak of Middle East Respiratory Syndrome (MERS) coronavirus since 2012. Healthcare workers (HCWs) form a significant risk group for infection. Objectives: The aim of this survey was to assess the knowledge, attitudes, infection control practices and educational needs of HCWs in the Kingdom of Saudi Arabia to MERS coronavirus and other emerging infectious diseases. Methods: 1500 of HCWs from Saudi Ministry of Health were invited to fill a questionnaire developed to cover the survey objectives from 9 September 2015 to 8 November 2015. The response rate was about 81%. Descriptive statistics was used to summarise the responses. Results: 1216 HCWs were included in this survey. A total of 56.5% were nurses and 22% were physicians. The most common sources of MERS-coronavirus (MERS-CoV) information were the Ministry of Health (MOH) memo (74.3%). Only (47.6%) of the physicians, (30.4%) of the nurses and (29.9%) of the other HCWs were aware that asymptomatic MERS-CoV was described. Around half of respondents who having been investigated for MERS-CoV reported that their work performance decreased while they have suspicion of having MERS-CoV and almost two thirds reported having psychological problems during this period. Almost two thirds of the HCWs (61.2%) reported anxiety about contracting MERS-CoV from patients. Conclusions: The knowledge about emerging infectious diseases was poor and there is need for further education and training programs particularly in the use of personal protective equipment, isolation and infection control measures. The self-reported infection control practices were sub-optimal and seem to be overestimated.
[A]:
Knowledge, Attitudes and Behaviours of Healthcare Workers in the Kingdom of Saudi Arabia to MERS Coronavirus and Other Emerging Infectious Diseases