| 4738 |
Centers for Disease Control and Prevention |
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en |
Links & References - Eastern Equine Encephalitis |
Eastern Equine Encephalitis is a rare disease that is caused by a virus spread by infected mosquitoes.
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| eastern equine encephalitis | 0.934419 |
| equine encephalitis virus | 0.293925 |
| western equine encephalitis | 0.290284 |
| Human eastern equine | 0.215417 |
| et al | 0.264239 |
| Turell MJ | 0.234654 |
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| equine encephalitis viruses | 0.483737 |
| Trop Med Hyg | 0.817323 |
| Endemic eastern equine | 0.235617 |
| Med Entomol | 0.224136 |
| St. Louis encephalitis | 0.299477 |
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| 7271 |
Centers for Disease Control and Prevention |
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en |
Trends in HIV-Related Risk Behaviors Among High SchoolStudents - United States, 1991-2011 |
Persons using assistive technology might not be able to fully access information in this file. For assistance, please send e-mail to: mmwrq@cdc.gov. |
| National HIV/AIDS Strategy | 0.538897 |
| new HIV infections | 0.244731 |
| educational efforts | 0.212574 |
| sex partners | 0.549355 |
| data | 0.21285 |
| white students | 0.622792 |
| injection drug | 0.483029 |
| United States | 0.348569 |
| significant linear effect | 0.224342 |
| students | 0.862358 |
| significant linear | 0.31289 |
| current sexual activity | 0.43891 |
| United States goal | 0.224793 |
| prevalence | 0.445272 |
| sexually active students | 0.259862 |
| Hispanic students | 0.699197 |
| recent sexual intercourse | 0.333735 |
| percentage | 0.252201 |
| black students | 0.296592 |
| significant linear decrease | 0.294225 |
| risk reduction interventions | 0.235266 |
| overall response rates* | 0.205436 |
| meaningful trend analysis | 0.37411 |
|
| significant linear increase | 0.236513 |
| quadratic time effect | 0.211437 |
| current sexual intercourse | 0.232916 |
| primary goals | 0.223418 |
| male students | 0.229952 |
| sexual intercourse | 0.98008 |
| high school students | 0.615893 |
| white high school | 0.243992 |
| racial/ethnic populations | 0.329472 |
| illegal drug | 0.208874 |
| significantly higher prevalence | 0.230686 |
| young persons | 0.240965 |
| significant change | 0.244214 |
| sexual experience | 0.402941 |
| human immunodeficiency virus | 0.239465 |
| significant quadratic effect | 0.231069 |
| significant quadratic trend | 0.297985 |
| sexual intercourse partners | 0.236257 |
| private school students | 0.212974 |
| HIV-related risk behaviors | 0.396436 |
| HIV infection | 0.282425 |
| sexual experience prevalence | 0.232052 |
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| 8055 |
Centers for Disease Control and Prevention |
Html |
en |
Science Clips - Monday, February 04, 2013 |
CDC - Stephen B. Thacker Library - Science Clips |
| Trop Med Hyg. | 0.928073 |
| population-based prevalence study | 0.81826 |
| Zhang YY | 0.767995 |
| traditional workforce development | 0.810356 |
| Pneumococcal capsular switching | 0.802143 |
| mental health | 0.814361 |
| Mol Biol Cell. | 0.806572 |
| National Health Interview | 0.858708 |
| tobacco cessation | 0.770316 |
| EGAPP methods update | 0.802909 |
| CDC Science Clips | 0.849982 |
| Fish consumption patterns | 0.805874 |
| Saf Res. | 0.807853 |
| syncytial virus mortality | 0.813936 |
| Science Clips Production | 0.808003 |
| state health agencies | 0.837349 |
| virus molecular determinants | 0.814601 |
| inadequate evidence base | 0.804408 |
| Rift Valley fever | 0.797066 |
| cancer prevention guidelines | 0.810595 |
| Sickler JL | 0.77003 |
| public health management | 0.851931 |
| U.S. women ages | 0.810484 |
| quality health care | 0.831383 |
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| lifetime mental illnesses | 0.834165 |
| Annu Rev Public | 0.836938 |
| Web Developer | 0.800103 |
| national influenza sentinel | 0.831977 |
| Prochaska JJ | 0.784337 |
| health consequences | 0.795549 |
| school-based influenza surveillance | 0.821852 |
| substance abuse problems | 0.820444 |
| co-occurring disorders | 0.769174 |
| Influenza viruses | 0.775539 |
| pandemic influenza | 0.774443 |
| distance-based workforce development | 0.815547 |
| human Salmonella Typhimurium | 0.799878 |
| rhesus macaques | 0.770082 |
| mercury exposure levels | 0.800622 |
| public health | 0.872229 |
| public health literature | 0.838937 |
| State Infant Mortality | 0.818224 |
| Public Health Manag | 0.851127 |
| B. Thacker CDC | 0.842596 |
| Hall SM | 0.81787 |
| child health | 0.785749 |
| unique vector specificity | 0.807788 |
| addiction treatment settings | 0.8151 |
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| 9392 |
Centers for Disease Control and Prevention |
Html |
es |
Enfoque basado en la población para mitigar los efectos en la salud a largo plazo de las misiones de combate |
CDC - Wide Page example description goes here |
| Salud Pública | 0.748432 |
| posibles efectos | 0.817663 |
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| principales enfoques | 0.994561 |
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CLICK HERE |
| 10066 |
Centers for Disease Control and Prevention |
Html |
en |
CDC - Features -Birth Defects Findings - NCBDDD |
null |
| 5-county metropolitan Atlanta | 0.396805 |
| North Carolina | 0.352702 |
| data | 0.319823 |
| national prevalence | 0.506528 |
| common birth defect | 0.423505 |
| infant death | 0.36001 |
| CDC study | 0.365112 |
| National Birth Defects | 0.59319 |
| 8-county Central Valley | 0.401655 |
| cleft lip | 0.357632 |
| Disease Control | 0.365402 |
| maternal race/ethnicity | 0.36008 |
| Network | 0.320499 |
| birth prevalence | 0.480243 |
| Timely national estimates | 0.432061 |
| local programs | 0.358659 |
| Canfield MA | 0.355267 |
| tracking regions | 0.35353 |
| new study | 0.367205 |
| prevention programs | 0.363362 |
| article | 0.311424 |
| Collins JS | 0.352645 |
| live births | 0.589699 |
| account maternal age | 0.407773 |
| Epub | 0.312412 |
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| birth defects webpage | 0.485487 |
| elective terminations | 0.361475 |
| common condition | 0.356975 |
| Puerto Rico | 0.349951 |
| United States | 0.723826 |
| national birth prevalence | 0.463295 |
| babies | 0.334468 |
| Help communities plan | 0.406477 |
| Parker SE | 0.35167 |
| Correa | 0.311763 |
| birth population | 0.36749 |
| syndrome | 0.319277 |
| total number | 0.357046 |
| future prevalence estimates | 0.466917 |
| Mason CA | 0.352086 |
| birth defect patterns | 0.434655 |
| common truncus | 0.404163 |
| cleft palate | 0.358408 |
| birth defects | 0.907299 |
| Birth Defects Prevention | 0.537726 |
| heart defect | 0.359464 |
| national prevalence estimates | 0.496762 |
| educational services | 0.358609 |
| Kirby RS | 0.354095 |
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| 10935 |
Centers for Disease Control and Prevention |
Html |
en |
Prostate Cancer Symptoms |
A list of possible symptoms of prostate cancer. |
| symptoms | 0.456783 |
| doctor | 0.249969 |
| mind | 0.248636 |
| prostate cancer | 0.938736 |
| list Skip | 0.747661 |
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| page options Skip | 0.879581 |
| prostate cancer are— | 0.725504 |
| Different people | 0.450378 |
| different symptoms | 0.403643 |
| men | 0.253668 |
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CLICK HERE |
| 11455 |
Centers for Disease Control and Prevention |
Html |
en |
CDC 24/7 Health Security Report |
CDC has a unique role protecting America's health security. Our scientists and public health experts are world leaders at responding to large-scale health emergencies such as natural disasters, pandemics, deliberate attacks, environmental catastrophes, and other health threats. |
| technical know-how | 0.713328 |
| biosecurity threats | 0.786259 |
| Tracking | 0.45085 |
| health threats | 0.698043 |
| lives | 0.451797 |
| new research | 0.701802 |
| tools | 0.452217 |
| America’s health | 0.647357 |
| states | 0.4478 |
| environmental hazards | 0.704768 |
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| 24 hours a day | 0.458167 |
| labs | 0.465166 |
| pulse | 0.479357 |
| food-borne outbreaks | 0.784259 |
| departments | 0.458984 |
| state | 0.447367 |
| territorial public health | 0.907164 |
| ​CDC works | 0.736149 |
| actions | 0.470684 |
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| 12408 |
Centers for Disease Control and Prevention |
Image |
null |
Colorectal Cancer Tests Save Lives (789W x 427H) |
null |
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CLICK HERE |
| 13947 |
Centers for Disease Control and Prevention |
Html |
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College Sports-Related Injuries - United States, 2009-10Through 2013-14 Academic Years |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). Often called 'the Voice of CDC,' the MMWR series is the agency's primary vehicle for scientific publication of timely, reliable, authoritative, accurate, objective, and useful public health information and recommendations. MMWR readership predominately consists of physicians, nurses, public health practitioners, epidemiologists and other scientists, researchers, educators, and laboratorians. |
| data | 0.43627 |
| annual estimated number | 0.414937 |
| injuries | 0.951919 |
| athlete-exposures | 0.490057 |
| highest overall injury | 0.719724 |
| highest estimated number | 0.412938 |
| NCAA championship sports | 0.4593 |
| Sports-related injuries | 0.451861 |
| number | 0.430251 |
| injury rate ratios | 0.442518 |
| practice injury rates | 0.426856 |
| competition injury rates | 0.455005 |
| highest practice injury | 0.440284 |
| Sports injury data | 0.421128 |
| championship sports | 0.479588 |
| NCAA Injury Surveillance | 0.425402 |
| practice-related injuries | 0.431669 |
| competition-to-practice rate ratio | 0.465548 |
| practice injuries | 0.468914 |
| ice hockey | 0.532544 |
| highest competition injury | 0.599737 |
| competition injuries | 0.446954 |
| overall estimated injury | 0.442972 |
| overall injury rates | 0.507675 |
| injury incidence | 0.435213 |
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| football-related injuries | 0.425625 |
| severe injuries | 0.422597 |
| participation | 0.4594 |
| championship sports programs | 0.407808 |
| overall injury rate | 0.77043 |
| member schools | 0.421814 |
| team athletic trainers | 0.445478 |
| injury rates | 0.656837 |
| men | 0.46078 |
| monitors injuries | 0.44935 |
| Major injuries | 0.421084 |
| injury prevention | 0.468303 |
| NCAA championship competition | 0.415154 |
| total injuries | 0.433292 |
| sports | 0.624017 |
| male injuries | 0.429855 |
| competition injury rate | 0.681522 |
| college sports injuries | 0.49441 |
| largest proportions | 0.441178 |
| Sports Injury Research | 0.41845 |
| various injury rates | 0.405369 |
| lowest overall injury | 0.422234 |
| emergency transport | 0.613596 |
| injury rate | 0.943297 |
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CLICK HERE |
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Centers for Disease Control and Prevention |
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Notes from the Field | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| disinfection products | 0.390029 |
| current environmental services | 0.285678 |
| safety data sheet | 0.277308 |
| potential health effects | 0.293217 |
| new disinfection product | 0.33336 |
| full-shift personal air | 0.276314 |
| full-shift exposure limits | 0.294769 |
| public health departments | 0.288305 |
| self-reported physician-diagnosed asthma | 0.25761 |
| nasal problems | 0.340969 |
| health care facility | 0.300286 |
| particular disinfection products | 0.274372 |
| health care setting | 0.29723 |
| personal protective equipment | 0.267453 |
| Occupational Health | 0.275254 |
| hydrogen peroxide | 0.919406 |
| full-shift exposure limit | 0.294821 |
| potential adverse health | 0.293557 |
| services staff members | 0.833767 |
| work-related health outcome | 0.326954 |
| health care settings | 0.420431 |
| personal air samples | 0.407032 |
| peroxyacetic acid | 0.790589 |
| air sampling evaluation | 0.27158 |
| staff members report | 0.26589 |
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| health interview questionnaire | 0.31564 |
| Full-shift air sample | 0.267613 |
| total convenience sample | 0.249757 |
| asthma-like symptoms | 0.450324 |
| Occupational Safety | 0.306657 |
| NIOSH Health Hazard | 0.317418 |
| health hazard evaluation | 0.440372 |
| chest tightness | 0.276643 |
| commonly reported health | 0.348993 |
| National Institute | 0.323876 |
| Environmental Protection Agency–registered | 0.284662 |
| 1Respiratory Health Division | 0.290357 |
| occupational exposure limits | 0.307213 |
| environmental services staff | 0.833833 |
| health | 0.493177 |
| eye symptoms | 0.269568 |
| Pilot air sampling | 0.266341 |
| Exposure assessment results | 0.299105 |
| hospital environmental services | 0.311582 |
| watery eyes | 0.24976 |
| work-related symptoms | 0.36365 |
| hospital staff members | 0.274377 |
| average personal air | 0.268345 |
| acetic acid | 0.821988 |
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