| 5386 |
Centers for Disease Control and Prevention |
Html |
en |
Monitoring Alcohol Use - FASD |
FASDs are 100% preventable if a woman does not drink alcohol during pregnancy. There is no known safe amount of alcohol to drink while pregnant. There is also no safe time during pregnancy to drink and no safe kind of alcohol. |
| Prevention Science | 0.28696 |
| Mortality Weekly Report | 0.914658 |
| binge drinking | 0.567137 |
| RL Floyd | 0.335153 |
| Average Volume | 0.281898 |
| Denny CH | 0.383081 |
| Prevalence estimates | 0.294018 |
| Cigarette Smoking | 0.283357 |
| random-digit-dialed telephone survey | 0.384822 |
| landline telephones | 0.298532 |
| Tracking Binge Drinking | 0.377905 |
| certain segments | 0.29178 |
| increased risk | 0.303187 |
| alcohol | 0.568851 |
| Concurrent Alcohol | 0.345965 |
| Nonpregnant Women | 0.30039 |
| High School Girls | 0.366743 |
| scientific articles | 0.298284 |
| prevention programs | 0.301247 |
| alcohol-exposed pregnancy | 0.29686 |
| alcohol consumption rate | 0.430521 |
| alcohol drinking | 0.37064 |
| Floyd RL | 0.601634 |
| preconception care | 0.293798 |
| Child Health Journal | 0.347928 |
|
| Behavioral Risk Factor | 0.38427 |
| women | 0.517006 |
| Boyle CA | 0.282808 |
| alcohol-exposed pregnancies | 0.30371 |
| Vital Signs | 0.288616 |
| United States | 0.749943 |
| Article | 0.299997 |
| Green PP | 0.469786 |
| pregnancy outcomes | 0.300132 |
| potential number | 0.302246 |
| read summary | 0.508624 |
| preconception risk factors | 0.366616 |
| CDC monitors | 0.324059 |
| 50 states | 0.303739 |
| Coles CD | 0.287677 |
| following patterns | 0.288803 |
| ethnic disparities | 0.289555 |
| U.S. population | 0.289431 |
| Morbidity | 0.334112 |
| U.S. Childbearing-Age Women | 0.36222 |
| Sokol RJ | 0.289908 |
| Preventive Medicine | 0.283303 |
| Women’s Health | 0.303112 |
| Childbearing Age | 0.492111 |
|
CLICK HERE |
| 5413 |
Centers for Disease Control and Prevention |
Html |
en |
Geographic and sociodemographic disparities in drive times to Joint Commission-certified primary stroke centers in North Carolina, South Carolina, and Georgia. |
null |
| North Carolina | 0.785935 |
| ischemic stroke patients | 0.623181 |
| stroke treatment center | 0.599662 |
| acute stroke care | 0.92159 |
| Age-adjusted county-level stroke | 0.620081 |
| county-level stroke death | 0.65747 |
| stroke care standards | 0.621039 |
| Commission–certified primary stroke | 0.674601 |
| American Stroke Association | 0.668881 |
| robust stroke systems | 0.606171 |
| commission primary stroke | 0.632642 |
| Northwest Regional Stroke | 0.616725 |
| primary stroke center | 0.714588 |
| timely acute stroke | 0.703029 |
| primary stroke centers | 0.805961 |
| stroke systems | 0.697963 |
| Regional Stroke Network | 0.618667 |
| Stroke Network | 0.624099 |
| National Acute Stroke | 0.677344 |
| stroke symptoms | 0.601347 |
| stroke patients | 0.684208 |
| nearest primary stroke | 0.608165 |
| stroke deaths | 0.6591 |
| hemorrhagic stroke | 0.598247 |
| South Carolina | 0.628584 |
|
| acute stroke | 0.949386 |
| 60-minute drive time | 0.711865 |
| Acute Stroke Registry | 0.677336 |
| quality stroke care | 0.641065 |
| regional stroke | 0.620139 |
| stroke care presents | 0.62028 |
| drive times | 0.59611 |
| stroke care | 0.949809 |
| acute stroke treatment | 0.616363 |
| ischemic stroke | 0.647271 |
| age-adjusted stroke death | 0.653327 |
| primary stroke | 0.815798 |
| Stroke Association Task | 0.603931 |
| stroke center designation | 0.641255 |
| highest stroke death | 0.599881 |
| stroke center criteria | 0.595663 |
| high stroke death | 0.685541 |
| stroke | 0.981599 |
| stroke care centers | 0.628642 |
| quality acute stroke | 0.712444 |
| Tri-State Stroke Network | 0.621759 |
| additional stroke center | 0.596481 |
| stroke death rates | 0.88917 |
| acute ischemic stroke | 0.62704 |
|
CLICK HERE |
| 6583 |
Centers for Disease Control and Prevention |
Html |
en |
The Vaccine Research Team | About | CDC |
In 2008, CDC malaria expert Dr. Mary Hamel learned that the Malaria Vaccine Institute was looking for leading research institutions in Africa to conduct Phase III clinical trials of the world’s most advanced malaria candidate vaccine, RTS,S/AS01. Recognizing that CDC’s nearly 30 years of collaboration on malaria research with the Kenya Medical Research Institute (KEMRI), would uniquely qualify it for serving as vaccine trial site, she told herself: 'We must apply.' |
| blood culture machines | 0.375426 |
| medical epidemiologist | 0.272367 |
| Tony Sang | 0.279826 |
| 8-month-old daughter | 0.254592 |
| lead pediatrician | 0.319847 |
| vaccine research team | 0.770964 |
| Dr. Martina Oneko | 0.456896 |
| pediatric ward | 0.544345 |
| vaccine trial team | 0.580199 |
| clinical trial | 0.275085 |
| co–principal investigator | 0.268865 |
| effective interventions | 0.260546 |
| Hospital pediatric ward | 0.454032 |
| pediatric monitors | 0.277611 |
| laboratory equipment | 0.252112 |
| Maria Oziemkowskis | 0.271795 |
| site coordinator | 0.450588 |
| Dr. Hamel | 0.316053 |
| Site Coordinator Odero | 0.424778 |
| KEMRI/CDC Malaria Branch | 0.654105 |
| Dr. Laurence Slutsker | 0.42771 |
| district hospital | 0.387384 |
| Seth Oluoch | 0.278046 |
| clinical equipment | 0.25152 |
| quality assurance | 0.272699 |
|
| specific requirements | 0.246155 |
| proudest moment | 0.28543 |
| malaria vaccine trial | 0.719285 |
| medical superintendent | 0.265457 |
| severely ill children | 0.59645 |
| severe malaria | 0.449566 |
| Nobert Owino | 0.277494 |
| CDC Atlanta | 0.265994 |
| Dr. Meredith McMorrow | 0.454465 |
| chemistry analyzers | 0.249145 |
| Dr. Simon Kariuki | 0.44803 |
| regulatory affairs | 0.276707 |
| debilitating effects | 0.27189 |
| senior staff members | 0.431206 |
| malaria vaccine research | 0.958981 |
| new clinical officers | 0.394319 |
| support staff | 0.257033 |
| Chris Odero | 0.279964 |
| sick children | 0.254622 |
| additional expertise | 0.247783 |
| field supervisor | 0.287575 |
| new digital x-ray | 0.373 |
| acute care room | 0.367986 |
| KEMRI/CDC malaria vaccine | 0.757194 |
|
CLICK HERE |
| 7854 |
Centers for Disease Control and Prevention |
Html |
en |
Hearing Loss Among Workers - Health Communication |
Hearing Loss Among Workers - Gateway to Health Communication - CDC |
| loud music | 0.415827 |
| self-reported occupational illness | 0.529034 |
| ear protection | 0.417512 |
| Work-related hearing loss | 0.831443 |
| metals | 0.341767 |
| work environment | 0.408101 |
| ear plugs | 0.425998 |
| hearing aids | 0.639698 |
| immediate threat | 0.40391 |
| support group | 0.400841 |
| problem | 0.338819 |
| injury | 0.321821 |
| worker | 0.342172 |
| communication | 0.337692 |
| family members | 0.41253 |
| rock music | 0.394734 |
| Occupational hearing loss | 0.821195 |
| extremely loud noise | 0.549182 |
| lower levels | 0.415527 |
| mistakes words | 0.400922 |
| equipment manufacturers | 0.404664 |
| entire career | 0.398091 |
| purchasers | 0.321733 |
| solvents | 0.352599 |
|
| hearing loss | 0.907638 |
| rock band | 0.39678 |
| job | 0.341506 |
| incorrect perception | 0.40834 |
| frequent exposure | 0.408458 |
| equipment sounds | 0.407658 |
| common occupational disease | 0.522168 |
| social isolation | 0.412574 |
| public | 0.341074 |
| urgency | 0.324492 |
| America | 0.32187 |
| Yes. Occupational hearing | 0.654225 |
| early teens | 0.397052 |
| trouble | 0.340897 |
| co-workers | 0.323663 |
| workers | 0.361168 |
| hazardous noise | 0.419678 |
| warning signs | 0.403707 |
| ear muffs | 0.431047 |
| doctor | 0.338297 |
| exposures | 0.323954 |
| Steve | 0.371042 |
| hazardous levels | 0.519959 |
| Juan | 0.384376 |
|
CLICK HERE |
| 8901 |
Centers for Disease Control and Prevention |
Html |
en |
Malaria - Travelers |
Education and Information for Travelers regarding Malaria risks and prevention. |
| Substandard Antimalarial Drugs | 0.280896 |
| risk assessment | 0.279887 |
| CDC Yellow Book | 0.261834 |
| individual risk assessment | 0.249718 |
| malaria medicines | 0.444975 |
| Malaria Prevention table | 0.497753 |
| United States | 0.345851 |
| appropriate prevention measures | 0.248464 |
| malaria risk | 0.432928 |
| malaria | 0.969432 |
| Malaria Information | 0.517862 |
| antimalarial drugs | 0.349214 |
| returned travelers | 0.239728 |
| Malaria Maps | 0.449589 |
| prescription dosing information | 0.240215 |
|
| health care providers | 0.259586 |
| malaria prevention recommendations | 0.569561 |
| United States standards | 0.232823 |
| high quality medicine | 0.231779 |
| immediate medical attention | 0.225252 |
| malaria prevention interventions | 0.518346 |
| specific medicines | 0.261211 |
| countries | 0.204779 |
| Country Table | 0.244797 |
| travelers | 0.313902 |
| antimalarial drug resistance | 0.268309 |
| malaria prevention | 0.787693 |
| malaria transmission | 0.654609 |
| potential drug-drug interactions | 0.232519 |
|
CLICK HERE |
| 9753 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Effect of Aerobic Exercise on Cognition, Academic Achievement, and Psychosocial Function in Children: A Systematic Review of Randomized Control Trials - CDC |
Although the effects of aerobic physical activity (APA) on children’s physical health is well characterized, the effect of aerobic physical activity on cognition, academic achievement, and psychosocial function has not yet been established. |
| physical education | 0.659205 |
| Habitual physical activity | 0.66486 |
| Health Measures Survey | 0.665862 |
| mental health | 0.694383 |
| physical activity daily | 0.667631 |
| APA daily Cognitive | 0.68454 |
| children | 0.724077 |
| integrated aerobic activity | 0.662482 |
| vigorous physical activity | 0.680218 |
| psychosocial outcomes | 0.656615 |
| Canadian Physical Activity | 0.69714 |
| regular APA | 0.678531 |
| aerobic physical activity | 0.868959 |
| Canadian Health Measures | 0.681647 |
| MS. Physical activity | 0.668039 |
| test battery APA | 0.679898 |
| physical health | 0.658169 |
| integrated APA | 0.663378 |
| moderate-intensity APA | 0.680752 |
| intensity physical activity | 0.66372 |
| physical activity intervention | 0.675471 |
| aerobic-based physical activity | 0.674977 |
| Physical Activity Glossary | 0.673712 |
| psychosocial functioning outcomes | 0.677572 |
| academic achievement | 0.846013 |
|
| moderate APA | 0.66469 |
| APA programs | 0.66732 |
| integrate APA | 0.664721 |
| curriculum time | 0.657253 |
| Physical Activity Guidelines | 0.66792 |
| standardized measure | 0.674997 |
| physical fitness | 0.672125 |
| studies | 0.698038 |
| acute APA | 0.666695 |
| cognitive performance | 0.663967 |
| search strategy | 0.658157 |
| aerobic exercise | 0.671847 |
| physical activity effects | 0.668983 |
| systematic review | 0.781733 |
| aerobic activity | 0.67408 |
| APA intervention group | 0.680615 |
| physical activity | 0.998926 |
| APA | 0.776231 |
| APA intervention | 0.68319 |
| school-based physical activity | 0.693215 |
| et al | 0.661994 |
| APA interventions | 0.683438 |
| academic performance | 0.770817 |
| children’s cognition | 0.657355 |
|
CLICK HERE |
| 10155 |
Centers for Disease Control and Prevention |
Html |
en |
Global Health - Polio - Updates on CDC's Polio Eradication Efforts - February 11, 2014 |
Polio is a crippling and potentially deadly infectious disease caused by a virus that spreads from person to person invading the brain and spinal cord and causing paralysis. CDC is a strategic partner in the overall effort to eradicate polio worldwide. |
| global polio eradication | 0.881429 |
| Large-scale polio vaccination | 0.502461 |
| GPEI partners | 0.364191 |
| polio eradication plans | 0.573831 |
| polio eradication | 0.999245 |
| Polio incidence | 0.4772 |
| polio outbreaks | 0.492208 |
| public health volunteers | 0.362447 |
| Polio Eradication Effort | 0.61404 |
| wild poliovirus | 0.383799 |
| vaccination campaign planning | 0.368212 |
| CDC’s Emergency | 0.384587 |
| United Nations Children | 0.363751 |
| AFP cases | 0.357436 |
| polio eradication activities | 0.644754 |
| final push | 0.365186 |
| CDC Director Thomas | 0.415977 |
| Melinda Gates Foundation | 0.361933 |
| CDC resources | 0.378261 |
| polio worldwide | 0.496654 |
| Independent Monitoring Board | 0.358986 |
| EOC operational structure | 0.392006 |
| polio vaccination campaigns | 0.56862 |
| CDC’s engagement | 0.374138 |
|
| global polio surveillance | 0.514882 |
| entire CDC community | 0.407038 |
| Polio Eradication Initiative | 0.608689 |
| World Health Organization | 0.421691 |
| outbreak response protocols | 0.357943 |
| timely technical expertise | 0.362966 |
| polio eradication progress | 0.569804 |
| polio cases | 0.521678 |
| in-country technical expertise | 0.362356 |
| Democratic Republic | 0.362039 |
| CDC’s EOC | 0.406305 |
| polio vaccination campaign | 0.515374 |
| countries | 0.369385 |
| CDC’s polio | 0.534985 |
| Epidemiologic Record/CDC Morbidity | 0.360753 |
| enhanced capacity | 0.363311 |
| CDC polio eradication | 0.684833 |
| polio surveillance | 0.560585 |
| technical expertise | 0.366167 |
| finish line | 0.361247 |
| Dr. Frieden | 0.373384 |
| endemic countries | 0.363432 |
| polio eradication efforts | 0.634805 |
|
CLICK HERE |
| 11824 |
Centers for Disease Control and Prevention |
Html |
en |
Disease Detective: Gabrielle - CDC Responds to the 2014 Ebola Outbreak |
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. |
| personal time | 0.660386 |
| Task Force | 0.847145 |
| grade school | 0.699034 |
| career | 0.565569 |
| brilliant solutions | 0.678291 |
| shift | 0.559521 |
| high fevers | 0.683815 |
| Medical Services personnel | 0.82243 |
| Associate Director | 0.677613 |
| family time | 0.659468 |
| Ebola outbreak | 0.981283 |
| school nurse | 0.691373 |
| health signage | 0.678238 |
| security checkpoints | 0.688737 |
| communication effort | 0.673685 |
| teasing | 0.544945 |
| trainings | 0.543305 |
| Emergency Operations Center | 0.810815 |
| customs agents | 0.668849 |
| severe cases | 0.673165 |
| travelers | 0.616206 |
| circumstance | 0.541961 |
| folks | 0.530178 |
| fast pace | 0.67437 |
| parents | 0.532411 |
|
| health threats | 0.68235 |
| H1N1 response | 0.664491 |
| severe outbreak | 0.71042 |
| Gabrielle | 0.641248 |
| emotional toll | 0.66586 |
| public health | 0.707442 |
| gong signal | 0.676082 |
| situation | 0.530967 |
| airport message boards | 0.829792 |
| Middle East Respiratory | 0.811441 |
| disease | 0.533652 |
| H1N1 influenza | 0.669171 |
| largest Ebola epidemic | 0.912025 |
| Quarantine | 0.534517 |
| health education class | 0.867606 |
| brilliant people | 0.692787 |
| exposures | 0.533494 |
| type-one diabetes | 0.691713 |
| border security agents | 0.827319 |
| West Africa | 0.850563 |
| classmates | 0.546145 |
| airport workers | 0.684855 |
| Global Migration Task | 0.828971 |
| MERS | 0.540108 |
|
CLICK HERE |
| 15327 |
Centers for Disease Control and Prevention |
Html |
en |
Bring Your Brave Campaign - General "Take Action" |
Knowing your cancer risk and being proactive about your health may help you take steps to lower your risk for getting breast or ovarian cancer, or find it at an early stage. |
| Word | 0.231724 |
| questions | 0.231708 |
| accuracy | 0.231815 |
| Possible genetic test | 0.474599 |
| type | 0.231734 |
| tips | 0.236835 |
| mutations | 0.231056 |
| record | 0.232495 |
| things | 0.23303 |
| increased risk | 0.339743 |
| family members | 0.486642 |
| ovarian cancer | 0.601829 |
| relatives | 0.236004 |
| steps | 0.315945 |
| breasts | 0.237176 |
| certain patterns | 0.361897 |
| specific gene mutation | 0.451998 |
| women | 0.231194 |
| benefits | 0.229781 |
| role | 0.229249 |
| ovarian cancers | 0.50268 |
| changes | 0.22888 |
| privacy | 0.22962 |
| emotional risks | 0.352333 |
|
| family medical history | 0.664451 |
| positive test result | 0.456321 |
| good listener | 0.368906 |
| overall risk | 0.341246 |
| genetic test results | 0.915184 |
| higher risk | 0.341441 |
| Specific tests | 0.355121 |
| gene mutation | 0.476935 |
| saliva sample | 0.357127 |
| breast cancer | 0.385527 |
| health | 0.234827 |
| cancer histories | 0.37803 |
| Talk | 0.254174 |
| families | 0.233372 |
| way | 0.232246 |
| doctor | 0.278288 |
| Genetic counseling | 0.457795 |
| genetic testing | 0.458536 |
| family history | 0.417752 |
| cancer risk | 0.374957 |
| risk | 0.441956 |
| information | 0.230277 |
| breast | 0.43902 |
| Share | 0.23346 |
|
CLICK HERE |
| 15473 |
Centers for Disease Control and Prevention |
Html |
en |
Trends in Methadone Distribution for Pain Treatment,Methadone Diversion, and Overdose Deaths - United States, 2002-2014| MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| methadone manufacturers | 0.444402 |
| prescription opioid overdose | 0.402631 |
| Human Services | 0.325723 |
| average annual declines | 0.344667 |
| U.S. Department | 0.321614 |
| prescription opioid methadone | 0.65167 |
| overdose deaths | 0.992917 |
| pain treatment | 0.339635 |
| methadone diversion | 0.829599 |
| opioid overdose | 0.45422 |
| National Forensic Laboratory | 0.373428 |
| higher overdose death | 0.371517 |
| treatment programs | 0.319772 |
| U.S. Census region | 0.416524 |
| study period | 0.352373 |
| age groups | 0.30318 |
| methadone-involved overdose deaths | 0.583634 |
| higher methadone overdose | 0.569122 |
| opioid use disorder | 0.518388 |
| inappropriate opioid prescribing | 0.309942 |
| methadone diversion rates | 0.524181 |
| opioid overdose deaths | 0.438307 |
| diversion reports | 0.372715 |
| illegal markets | 0.30144 |
| public health policy | 0.32611 |
|
| disorder treatment programs | 0.315292 |
| methadone overdose deaths | 0.777899 |
| U.S. Census regions | 0.315868 |
| overdose death rates | 0.593802 |
| Forensic Laboratory Information | 0.375551 |
| overall opioid prescribing | 0.309067 |
| lowest overdose death | 0.398114 |
| methadone overdose death | 0.957861 |
| overdose death rate | 0.95822 |
| health policy changes | 0.326105 |
| national distribution rate | 0.308259 |
| national methadone distribution | 0.497018 |
| drug overdose deaths | 0.427492 |
| death rate trend | 0.314116 |
| pain | 0.350531 |
| methadone overdose | 0.979211 |
| methadone distribution rate | 0.605576 |
| methadone poisoning | 0.464582 |
| highest overdose death | 0.441595 |
| average annual decline | 0.376341 |
| U.S. opioid overdose | 0.437592 |
| opioid-related overdose deaths | 0.424383 |
| annual percentage change | 0.30781 |
| statistically significant change | 0.36995 |
|
CLICK HERE |