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Interactive digital notebooks provide an opportunity for researchers and educators to carry out data analysis and report the results in a single digital format. Further to just being digital, the format allows for rich content to be created in order to interact with the code and data contained in such a notebook to form an educational narrative. This primer introduces some of the fundamental aspects involved in using Jupyter notebooks in an educational setting for teaching in the bio/health informatics disciplines. We also provide 2 case studies that detail how we used Jupyter notebooks to teach non-coders programming skills on a blended Master's degree module for a Health Informatics programme and a fully online distance learning unit on Programming for a postgraduate certificate (PG Cert) in Clinical Bioinformatics with a more technical audience.Pakistan's total estimated snow leopard habitat is about 80,000 km2 of which about half is considered prime habitat. However, this preliminary demarcation was not always in close agreement with the actual distribution-the discrepancy may be huge at the local and regional level. Recent technological developments like camera trapping and molecular genetics allow for collecting reliable presence records that could be used to construct realistic species distribution based on empirical data and advanced mathematical approaches like MaxEnt. The current study followed this approach to construct an accurate distribution of the species in Pakistan. Moreover, movement corridors, among different landscapes, were also identified through circuit theory. The probability of habitat suitability, generated from 98 presence points and 11 environmental variables, scored the snow leopard's assumed range in Pakistan, from 0 to 0.97. A large portion of the known range represented low-quality habitat, including areas in lower Chitrected with the population in India. Based on our findings we propose three model landscapes to be considered under the Global Snow Leopard Ecosystem Protection Program (GSLEP) agenda as regional priority areas, to safeguard the future of the snow leopard in Pakistan and the region. These landscapes fall within mountain ranges of the Himalaya, Hindu Kush and Karakoram-Pamir, respectively. see more We also identified gaps in the existing protected areas network and suggest new protected areas in Chitral and Gilgit-Baltistan to protect critical habitats of snow leopard in Pakistan.Stroke is the fifth leading cause of death in the United States (1). In 2017, on average, a stroke-related death occurred every 3 minutes and 35 seconds in the United States, and stroke is a leading cause of long-term disability (1). To prevent mortality or long-term disability, strokes require rapid recognition and early medical intervention (2,3). Common stroke signs and symptoms include sudden numbness or weakness of the face, arm, or leg, especially on one side; sudden confusion or trouble speaking; sudden trouble seeing in one or both eyes; sudden trouble walking, dizziness, or loss of balance; and a sudden severe headache with no known cause. Recommended action at the first sign of a suspected stroke is to quickly request emergency services (i.e., calling 9-1-1) (2). Public education campaigns have emphasized recognizing stroke signs and symptoms and the importance of calling 9-1-1, and stroke knowledge increased 14.7 percentage points from 2009 to 2014 (4). However, disparities in stroke awareness have been reported (4,5). Knowledge of the five signs and symptoms of stroke and the immediate need to call emergency medical services (9-1-1), collectively referred to as "recommended stroke knowledge," was assessed among 26,076 adults aged ≥20 years as part of the 2017 National Health Interview Survey (NHIS). The prevalence of recommended stroke knowledge among U.S. adults was 67.5%. Stroke knowledge differed significantly by race and Hispanic origin (p less then 0.001). The prevalence of recommended stroke knowledge was highest among non-Hispanic White adults (71.3%), followed by non-Hispanic Black adults (64.0%) and Hispanic adults (57.8%). Stroke knowledge also differed significantly by sex, age, education, and urbanicity. After multivariable adjustment, these differences remained significant. Increasing awareness of the signs and symptoms of stroke continues to be a national priority. Estimates from this report can inform public health strategies for increasing awareness of stroke signs and symptoms.On June 3, 2020, a woman aged 73 years (patient A) with symptoms consistent with coronavirus disease 2019 (COVID-19) (1) was evaluated at the emergency department of the Hopi Health Care Center (HHCC, an Indian Health Services facility) and received a positive test result for SARS-CoV-2, the virus that causes COVID-19. The patient's symptoms commenced on May 27, and a sibling (patient B) of the patient experienced symptom onset the following day. On May 23, both patients had driven together and spent time in a retail store in Flagstaff, Arizona. Because of their similar exposures, symptom onset dates, and overlapping close contacts, these patients are referred to as co-index patients. The co-index patients had a total of 58 primary (i.e., direct) and secondary contacts (i.e., contacts of a primary contact); among these, 27 (47%) received positive SARS-CoV-2 test results. Four (15%) of the 27 contacts who became ill were household members of co-index patient B, 14 (52%) had attended family gatherings, one was a child who might have transmitted SARS-CoV-2 to six contacts, and eight (30%) were community members. Findings from the outbreak investigation prompted the HHCC and Hopi Tribe leadership to strengthen community education through community health representatives, public health nurses, and radio campaigns. In communities with similar extended family interaction, emphasizing safe ways to stay in touch, along with wearing a mask, frequent hand washing, and physical distancing might help limit the spread of disease.Studies suggest that pregnant women might be at increased risk for severe illness associated with coronavirus disease 2019 (COVID-19) (1,2). This report provides updated information about symptomatic women of reproductive age (15-44 years) with laboratory-confirmed infection with SARS-CoV-2, the virus that causes COVID-19. During January 22-October 3, CDC received reports through national COVID-19 case surveillance or through the National Notifiable Diseases Surveillance System (NNDSS) of 1,300,938 women aged 15-44 years with laboratory results indicative of acute infection with SARS-CoV-2. Data on pregnancy status were available for 461,825 (35.5%) women with laboratory-confirmed infection, 409,462 (88.7%) of whom were symptomatic. Among symptomatic women, 23,434 (5.7%) were reported to be pregnant. After adjusting for age, race/ethnicity, and underlying medical conditions, pregnant women were significantly more likely than were nonpregnant women to be admitted to an intensive care unit (ICU) (10.5 versus 3.

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