| 1137 |
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Expanding Primary Care Capacity to Treat Hepatitis C VirusInfection Through an Evidence-Based Care Model - Arizona and Utah,2012-2014 |
Kiren Mitruka, MD1, Karla Thornton, MD2, Susanne Cusick3, Christina Orme3, Ann Moore4, Richard A. Manch, MD4, Terry Box, MD3, Christie Carroll2, Deborah Holtzman, PhD1, John W. Ward, MD1 (Author affiliations at end of text). |
| primary care providers | 0.369506 |
| treatment | 0.267371 |
| Project ECHO | 0.713995 |
| chronic HCV infection | 0.356934 |
| HCV infection | 0.941631 |
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| primary care | 0.826029 |
| teleECHO clinics | 0.280125 |
| rural settings | 0.209845 |
| primary care clinicians | 0.745976 |
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Centers for Disease Control and Prevention |
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Preventing Chronic Disease | An Observational Evaluation of Move-To-Improve, a Classroom-Based Physical Activity Program, New York City Schools, 2010 - CDC |
This observational study evaluated the effects of Move-To-Improve (MTI), a classroom-based physical education program designed for kindergarten to third-grade teachers in New York City public schools. |
| MTI | 0.638534 |
| data collectors | 0.43391 |
| MTI program representative | 0.421457 |
| physical activity behaviors | 0.370593 |
| MTI lessons | 0.371226 |
| New York City | 0.460671 |
| classroom teachers | 0.458208 |
| class size | 0.38929 |
| versus untrained classrooms | 0.421115 |
| urban school districts | 0.369176 |
| untrained classrooms | 0.603533 |
| MTI training increases | 0.432117 |
| physical education program | 0.368526 |
| physical activity programs | 0.380548 |
| Sixteen classrooms | 0.359119 |
| public elementary schools | 0.405386 |
| assigned classrooms | 0.362272 |
| MTI training | 0.499046 |
| MTI equipment | 0.371321 |
| MTI fitness breaks | 0.400294 |
| NYC public school | 0.369127 |
| physical activity facilities | 0.373898 |
| trained teachers | 0.411816 |
| MTI activities | 0.37856 |
| students | 0.43981 |
|
| physical activity training | 0.374673 |
| untrained teachers | 0.414775 |
| younger classrooms | 0.359203 |
| third-grade classrooms | 0.359849 |
| teachers | 0.598948 |
| grade level | 0.530867 |
| 3-hour MTI workshop | 0.399621 |
| daily physical activity | 0.38119 |
| New York | 0.487836 |
| small classroom spaces | 0.377941 |
| randomized list | 0.363994 |
| academic concepts | 0.35905 |
| elementary schools | 0.513389 |
| MTI-trained classroom teachers | 0.37739 |
| physical activity | 0.901715 |
| York City Department | 0.379672 |
| PE | 0.380048 |
| MTI trainer | 0.38186 |
| observed classroom teachers | 0.365011 |
| MTI program staff | 0.402079 |
| untrained classroom teachers | 0.395361 |
| time | 0.360835 |
| MTI program | 0.602757 |
| third-grade teachers | 0.372936 |
|
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NCEH/ATSDR Epidemic Intelligence Service - How to Apply |
The Epidemic Intelligence Service (EIS) is a unique 2-year postgraduate training program of service and on-the-job learning for health professionals interested in the practice of applied epidemiology. |
| list Skip | 0.764884 |
| page options Skip | 0.934414 |
| U.S. Clinical license | 0.617547 |
| Exciting Career | 0.420682 |
|
| navigation Skip | 0.77882 |
| EIS | 0.663816 |
| online application | 0.389006 |
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Centers for Disease Control and Prevention |
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Lead Poisoning Among Children Outside the US - Health Communication |
Lead Poisoning Among Children Outside the United States - Gateway to Health Communication - CDC |
| United States | 0.692602 |
| lowfire ceramic ware | 0.607463 |
| private health care | 0.62428 |
| health care provider | 0.749583 |
| lead poisoning need | 0.715876 |
| traditional health remedies | 0.613186 |
| high levels | 0.570654 |
| naturally occurring element | 0.622884 |
| lead contamination | 0.599687 |
| lead-containing paint | 0.56883 |
| ceramic ware | 0.684148 |
| industrial emissions | 0.561911 |
| children | 0.62459 |
| low levels | 0.570364 |
| elevated blood lead | 0.706223 |
| young children | 0.624143 |
| important sources | 0.563096 |
| traditional medicines | 0.618198 |
| local health clinic | 0.610954 |
| blood levels | 0.565483 |
| drinking water | 0.565093 |
| predominant sources | 0.562288 |
| neurobehavioral development | 0.57042 |
| Lead hazards | 0.603385 |
|
| nervous systems | 0.562556 |
| lead-poisoned children | 0.570648 |
| cottage industries | 0.561923 |
| lead-containing products | 0.567996 |
| lead home | 0.599185 |
| local health officials | 0.699858 |
| lead-contaminated dust | 0.563114 |
| particular risk | 0.563818 |
| direct water supply | 0.605544 |
| blood lead level | 0.701587 |
| distinctive clinical symptoms | 0.616653 |
| traditional Mexican remedy | 0.601304 |
| lead poisoning | 0.949777 |
| recycling plants | 0.563042 |
| Pregnant women | 0.562581 |
| appropriate safety measures | 0.607696 |
| lead-glazed ceramic ware | 0.606914 |
| childhood lead poisoning | 0.785877 |
| deteriorated lead-based paint | 0.622826 |
| decreased intelligence | 0.573574 |
| ethnic group | 0.561933 |
| lead exposure | 0.615716 |
| leaded gasoline exhaust | 0.615173 |
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PanFlu Storybook - In Memorial, Samuel C. Bowen, M.D. |
In Memorial, To date, October 1918 remains the deadliest month in U.S. history when approximately 200,000 Americans died of the flu. Healthy, young adults (average age 35 years) began coughing in the morning and were dead by the evening. The family stories described in this section define true courage amid unbearable loss. |
| influenza | 0.44001 |
| nose | 0.438884 |
| Tazewell County | 0.585924 |
| list Skip | 0.780257 |
| Harry Lee Thompson | 0.676154 |
| distinction | 0.439893 |
| Chicago | 0.438824 |
| Irene Bowen Wendell | 0.881648 |
| page options Skip | 0.929852 |
| Doctor | 0.424401 |
| navigation Skip | 0.783126 |
|
| flu | 0.435397 |
| Dr. Bowen | 0.757521 |
| Maiden Spring Homestead | 0.725069 |
| Virginia Medical College | 0.684312 |
| throat surgeon | 0.585859 |
| Samuel Cecil Bowen | 0.84961 |
| Storyteller | 0.439796 |
| ear | 0.434025 |
| Palmer House Hotel | 0.683986 |
| nephew | 0.442406 |
| Prominent eye | 0.574348 |
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HAN Archive - 00342'Health Alert Network (HAN) |
Health Alert Network (HAN). Provided by the Centers for Disease Control and Prevention (CDC). |
| CDC | 0.783568 |
| fungal illness | 0.548297 |
| symptomatic area | 0.580043 |
| epidural abscesses | 0.530664 |
| persistent baseline pain | 0.607169 |
| CDC’s HAN | 0.574668 |
| Health Alert Network | 0.804668 |
| subsequent patient outreach | 0.587943 |
| Contaminated Steroid Products | 0.579988 |
| fungal infection | 0.866703 |
| clinicians | 0.565545 |
| NECC steroid medications | 0.609218 |
| steroid injections | 0.528881 |
| patients | 0.950707 |
| paraspinal infections | 0.738348 |
| public health partners | 0.600321 |
| epidural abscess | 0.625993 |
| mild clinical presentation | 0.594703 |
| methylprednisolone acetate | 0.839868 |
| recent cases | 0.520453 |
| prior negative evaluation | 0.567333 |
| repeat MRI studies | 0.747531 |
| New England Compounding | 0.621299 |
| paraspinal injections | 0.543743 |
|
| new cases | 0.592604 |
| fungal meningitis | 0.649734 |
| prolonged incubation period | 0.778426 |
| CDC Health Alert | 0.698845 |
| baseline symptoms | 0.721221 |
| magnetic resonance imaging | 0.59687 |
| contaminated methylprednisolone acetate | 0.63323 |
| initially normal imaging | 0.58009 |
| abnormal MRI findings | 0.63938 |
| new reports | 0.52611 |
| predominant clinical syndrome | 0.600282 |
| enhances health decisions | 0.576161 |
| critical health issues | 0.581987 |
| mg/ml Injection | 0.674715 |
| paraspinal injection | 0.804972 |
| minimal symptoms | 0.527319 |
| local health departments | 0.595364 |
| fungal disease | 0.552842 |
| http://emergency.cdc.gov/HAN/han00338.asp), MRI testing | 0.642912 |
| fungal infections | 0.790975 |
| newly identified case-patients | 0.587419 |
| Parameningeal Infections Associated | 0.612744 |
| different patients | 0.550084 |
| baseline chronic pain | 0.765797 |
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Know the Signs and Symptoms of a Stroke Fact Sheet'Data & Statistics'DHDSP'CDC |
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| prevention activities | 0.497881 |
| previous stroke | 0.783411 |
| stroke cost | 0.758689 |
| brain cells | 0.510492 |
| permanent disability | 0.514469 |
| ethnic groups | 0.50453 |
| publication | 0.416583 |
| state health departments | 0.577202 |
| High blood pressure | 0.60495 |
| Geographic Disparities | 0.518583 |
| oxygen | 0.419234 |
| deaths | 0.419765 |
| ischemic type | 0.553722 |
| CDC supports— | 0.502852 |
| health professionals | 0.498544 |
| blood vessel bursts | 0.629959 |
| Americans | 0.415777 |
| heart attack increase | 0.599597 |
| cerebrovascular accident | 0.527882 |
| American Heart Association | 0.768229 |
| symptoms | 0.4167 |
| state maps | 0.499983 |
| chances | 0.422998 |
| tailor prevention policies | 0.585046 |
| county–level stroke death | 0.835708 |
|
| stroke networks | 0.795801 |
| programs | 0.416243 |
| 33 billion | 0.507337 |
| greatest burden | 0.502214 |
| United States | 0.764115 |
| hemorrhagic stroke | 0.827281 |
| largest U.S. | 0.500838 |
| United Sates | 0.525822 |
| smoking | 0.415878 |
| timely treatment | 0.504444 |
| extensive series | 0.501463 |
| ischemic stroke | 0.848573 |
| strokes | 0.425233 |
| advocacy strategies | 0.499043 |
| rates | 0.416487 |
| impairments | 0.423926 |
| stroke | 0.957739 |
| people | 0.434826 |
| blood supply | 0.522176 |
| partners | 0.416216 |
| Stroke Mortality | 0.739917 |
| risk | 0.416726 |
| information | 0.416315 |
| recurrent attacks | 0.516777 |
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Chickenpox Vaccine Saves Lives and Prevents Serious Illness |
CDC works 24/7 saving lives, protecting people from health threats, and saving money to have a more secure nation. A US federal agency, CDC helps make the healthy choice the easy choice by putting science and prevention into action. CDC works to help people live longer, healthier and more productive lives. |
| country | 0.218507 |
| high rates | 0.246666 |
| CDC | 0.243537 |
| respiratory droplets | 0.257687 |
| routine chickenpox vaccination | 0.503107 |
| Dr. Michiaki Takahashi | 0.291656 |
| number | 0.218975 |
| children | 0.32646 |
| direct contact | 0.254339 |
| U.S. children | 0.248554 |
| huge success | 0.245305 |
| immune systems | 0.252379 |
| state health departments | 0.276479 |
| Osaka University | 0.250665 |
| chickenpox vaccination program | 0.663392 |
| significant progress | 0.249208 |
| blister-like rash | 0.257949 |
| birthday Zoe | 0.252088 |
| societal costs | 0.24205 |
| chickenpox vaccine | 0.78302 |
| chickenpox blisters | 0.499675 |
| highly vaccinated student | 0.291112 |
| two-dose coverage | 0.245032 |
| severe cases | 0.244365 |
| 13-month old Zoe | 0.295731 |
|
| varicella-zoster virus | 0.256376 |
| severe disease | 0.246456 |
| parents | 0.227261 |
| chickenpox-related deaths | 0.245556 |
| United States | 0.526653 |
| fever | 0.220118 |
| receive chickenpox vaccine | 0.50567 |
| fewer blisters | 0.251412 |
| chickenpox cases | 0.475161 |
| Thanks | 0.220754 |
| typical case | 0.245191 |
| health departments | 0.328051 |
| Healthy People | 0.246488 |
| federal agencies | 0.246412 |
| two-dose vaccination | 0.279595 |
| Dr. Takahashi | 0.249752 |
| people | 0.308743 |
| routine vaccination | 0.327647 |
| chickenpox | 0.931075 |
| virus particles | 0.295311 |
| chickenpox outbreaks | 0.43276 |
| Children Program | 0.247835 |
| time | 0.219292 |
| U.S. chickenpox vaccination | 0.572062 |
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Notes from the Field: Ebola Virus Disease ResponseActivities During a Mass Displacement Event After Flooding -Freetown, Sierra Leone, September-November, 2015 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| Ebola Response Center | 0.609329 |
| flood response partners | 0.260011 |
| Ebola case definition | 0.665243 |
| CDC | 0.256513 |
| original MMWR paper | 0.242327 |
| Human Services | 0.229011 |
| Ebola response activities | 0.919121 |
| Sierra Leone | 0.507251 |
| Ebola screening | 0.468237 |
| Ebola holding center | 0.672998 |
| Leone Ebola Response | 0.540183 |
| inconsistent community messaging | 0.236895 |
| Ebola cases | 0.566326 |
| U.S. Department | 0.230275 |
| Ebola outbreak | 0.431873 |
| electronic PDF version | 0.237776 |
| Additional important factors | 0.232713 |
| Zoonotic Infectious Diseases | 0.231727 |
| Western Area Ebola | 0.683366 |
| 4World Health Organization | 0.269703 |
| WAERC district surveillance | 0.281336 |
| national case definition | 0.258131 |
| general health status | 0.287569 |
| Clinical staff members | 0.254694 |
|
| flood relief services | 0.26415 |
| Ebola response infrastructure | 0.540744 |
| World Health Organization | 0.416045 |
| stadiums | 0.412943 |
| Global Health | 0.203409 |
| staff members | 0.337614 |
| separate isolation areas | 0.255832 |
| Freetown | 0.219871 |
| flood-associated health needs | 0.276138 |
| infection prevention | 0.252284 |
| persons | 0.305087 |
| WAERC staff members | 0.297812 |
| senior district surveillance | 0.245382 |
| WAERC partners | 0.222759 |
| Ebola testing | 0.532837 |
| flood-affected persons | 0.298054 |
| Sierra Leone Ministry | 0.427242 |
| 3Sierra Leone Ministry | 0.271559 |
| Area Ebola Response | 0.693607 |
| Ebola Response Centre | 0.509002 |
| Ebola patients | 0.450592 |
| incident management systems | 0.386084 |
| effective resource management | 0.258324 |
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Laboratory Safety when Working with Zika Virus |
Information on Zika virus. Provided by the U.S. Centers for Disease Control and Prevention. |
| risk assessment | 0.515954 |
| Arthropod Containment levels | 0.456999 |
| chikungunya virus English | 0.558164 |
| CDC/NIH Publication Biosafety | 0.482578 |
| aerosol generating activities | 0.452842 |
| Zika virus | 0.930328 |
| CDC Import Permit | 0.601442 |
| Research Involving Recombinant | 0.459057 |
| Category B Biological | 0.454281 |
| animals. Animal studies | 0.455498 |
| yellow fever virus | 0.572654 |
| Arthropod Containment Level | 0.455595 |
| CDC Zika virus | 0.613793 |
| culture/serum specimens | 0.449233 |
| Biosafety Level | 0.502457 |
| Healthcare Infection Control | 0.460539 |
| biosafety cabinet | 0.44549 |
| safety cabinet. Specimens | 0.474357 |
| dengue virus | 0.548247 |
| Biological substance requirements | 0.460088 |
| Guillain-Barré syndrome | 0.447659 |
| Zika virus transmission | 0.679534 |
| diagnostic specimens | 0.452159 |
| Import Permit regulations | 0.473732 |
| infected Aedes species | 0.476865 |
|
| congenital anomalies | 0.448879 |
| Zika virus infection | 0.683247 |
| Zika virus-containing materials. | 0.481399 |
| Animal Biosafety Level | 0.472477 |
| infected arthropods | 0.467306 |
| potential aerosol generating | 0.505299 |
| Zika virus studies | 0.603958 |
| Hazardous Materials Regulations | 0.460446 |
| aerosol generating procedures | 0.457731 |
| procedures. Zika virus | 0.576034 |
| certain procedures | 0.484739 |
| Zika virus. Information | 0.475398 |
| RNA genome. Infection | 0.467321 |
| Materials Transport Regulations | 0.461592 |
| higher levels | 0.506314 |
| fever. Severe disease | 0.460137 |
| West Nile virus | 0.574871 |
| Japanese encephalitis virus | 0.576403 |
| synthetic Zika virus | 0.571028 |
| Transportation Hazardous Materials | 0.502819 |
| Biomedical Laboratories | 0.456728 |
| Zika virus testing | 0.586631 |
| Nucleic Acid Molecules | 0.450233 |
| Committee Standard Precautions | 0.464321 |
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