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Centers for Disease Control and Prevention |
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FASD - Past Activities |
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. |
| State Resource Directory | 0.477883 |
| Tribal Justice Systems | 0.469763 |
| local levels | 0.477156 |
| Health Care Center | 0.503822 |
| Track current media | 0.485763 |
| Arctic FASD Regional | 0.567268 |
| related conditions | 0.4745 |
| Regional Training Centers | 0.527154 |
| public health networks | 0.499802 |
| K-12 FASD Education | 0.578392 |
| Lakes FASD Regional | 0.568545 |
| Current Problems | 0.559006 |
| Double ARC | 0.503883 |
| separate training curricula | 0.48417 |
| Patient Care Center | 0.487727 |
| Healthy Path curriculum | 0.473083 |
| justice systems personnel | 0.520977 |
| FASD Public Awareness | 0.580858 |
| brief intervention | 0.469138 |
| FASD Regional Training | 0.913007 |
| Adolescent Health Care | 0.682947 |
| primary care provider | 0.475952 |
| fetal alcohol spectrum | 0.891013 |
| FASD prevention | 0.619876 |
| adolescent care providers | 0.484383 |
|
| 4-year cooperative agreement | 0.476302 |
| healthcare providers | 0.46874 |
| FASD Toolkit | 0.523661 |
| FASD Competency-Based Curriculum | 0.575876 |
| Regional Training Center | 0.748518 |
| Read Summary | 0.610452 |
| Frontier FASD Regional | 0.566682 |
| Allied Health Education | 0.486194 |
| Media Outreach Center | 0.492801 |
| Southeastern FASD | 0.529629 |
| NOFAS Information Clearinghouse | 0.483158 |
| appropriate health care | 0.489179 |
| family support groups | 0.477687 |
| Public Health Program | 0.482552 |
| FASDs | 0.474733 |
| Fetal Alcohol Syndrome | 0.663657 |
| Midwestern FASD Regional | 0.566605 |
| NOFAS Affiliate Network | 0.484155 |
| alcohol spectrum disorders | 0.873759 |
| CDC funds FASD | 0.576602 |
| educational curricula | 0.4745 |
| Alcohol Syndrome Awareness | 0.503857 |
| alcohol SBI | 0.470481 |
| Fetal spectrum disorders | 0.500797 |
|
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Centers for Disease Control and Prevention |
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Young adults' perceptions of cigarette warning labels in the United States and Canada. |
null |
| study participants | 0.419239 |
| Canadian cigarette labels | 0.476748 |
| young adult smokers | 0.438533 |
| Linda L. Pederson | 0.423221 |
| focus group sessions | 0.460651 |
| current smokers | 0.426061 |
| text-only cigarette | 0.419572 |
| Canadian cigarette label | 0.490939 |
| U.S. cigarette | 0.63168 |
| white warning text | 0.434383 |
| Smoking This Cigarette | 0.437441 |
| tobacco warning labels | 0.448534 |
| cigarette warning messages | 0.496972 |
| recent graduate group | 0.70001 |
| cigarette warning labels | 0.995019 |
| decrease cigarette consumption | 0.463972 |
| young adults | 0.428923 |
| cigarette package warnings | 0.427929 |
| Canadian cigarette | 0.678416 |
| large graphic warning | 0.44921 |
| Canadian warning labels | 0.501572 |
| United States | 0.492426 |
| warning label size | 0.422902 |
| new warning labels | 0.468332 |
| smokers | 0.596533 |
|
| current U.S. cigarette | 0.45636 |
| health warning labels | 0.516098 |
| focus groups | 0.579918 |
| smoking | 0.551118 |
| U.S. cigarette packages | 0.490447 |
| smoking health hazards | 0.415699 |
| participants | 0.634324 |
| graphic warning labels | 0.55515 |
| U.S. cigarette package | 0.444859 |
| cigarette label health | 0.443923 |
| Federal Cigarette Labeling | 0.431866 |
| Detroit metropolitan area | 0.440059 |
| focus group participants | 0.494572 |
| Cigarette smoking | 0.452863 |
| Canadian cigarette packages | 0.443048 |
| listing cigarette ingredients | 0.424224 |
| text-only warning labels | 0.468541 |
| explicit graphic warning | 0.435086 |
| cigarette packages | 0.859014 |
| focus group | 0.556838 |
| U.S. warning labels | 0.517667 |
| health risks | 0.415369 |
| various cigarette brands | 0.415376 |
| cigarette label text | 0.451249 |
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Centers for Disease Control and Prevention |
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Working to Protect Against the Dangers of Dengue |
CDC Works For You 24/7 Protecting People - Working to Protect Against the Dangers of Dengue - Dengue, a painful and sometimes deadly viral disease transmitted by mosquitoes, threatens more than 3.5 billion people worldwide. Dengue is endemic in at least 100 countries in Southeast Asia, the Pacific Islands, the Caribbean, Central America, South America, and parts of Africa. As many as 100 million people become infected yearly, and nearly 500,000, mostly children, develop the potentially deadly dengue hemorrhagic fever. |
| South America | 0.575962 |
| Central America | 0.576208 |
| Puerto Rico | 0.571512 |
| increasingly critical threat | 0.731864 |
| Large numbers | 0.558335 |
| United States | 0.675047 |
| changes | 0.430314 |
| example | 0.429296 |
| Republic | 0.428966 |
| Southeast Asia | 0.584383 |
| Marshall Islands | 0.556528 |
| children | 0.431797 |
| potentially deadly dengue | 0.962387 |
| public health worldwide | 0.711949 |
| locally acquired dengue | 0.900054 |
| possibility | 0.433328 |
| new problem | 0.575984 |
| mosquitoes | 0.504308 |
|
| cases | 0.45354 |
| hemorrhagic fever | 0.596344 |
| Pacific Islands | 0.5767 |
| epidemic | 0.436659 |
| Africa | 0.432416 |
| urban areas | 0.564329 |
| countries | 0.432734 |
| deadly viral disease | 0.784938 |
| Florida | 0.429194 |
| people | 0.467859 |
| travelers | 0.432084 |
| vectors | 0.438516 |
| epidemics | 0.506723 |
| dengue-endemic areas | 0.557858 |
| parts | 0.462175 |
| dengue viruses | 0.750256 |
| Caribbean | 0.430544 |
|
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Centers for Disease Control and Prevention |
Html |
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Malaria Surveillance - United States, 2010 |
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. |
| reported malaria cases | 0.333089 |
| CDC | 0.262625 |
| malaria chemoprophylaxis | 0.35775 |
| P. malariae | 0.275702 |
| falciparum cerebral malaria | 0.25523 |
| Uncomplicated Imported Malaria | 0.239477 |
| antimalarial drugs | 0.259148 |
| appropriate malaria prevention | 0.257876 |
| P. falciparum | 0.745527 |
| state health departments | 0.243788 |
| malaria infection | 0.278485 |
| additional malaria cases | 0.263008 |
| P. falciparum infection | 0.279317 |
| malaria prevention strategies | 0.275881 |
| ongoing malaria transmission | 0.255122 |
| patients | 0.330478 |
| malaria chemoprophylaxis regimen | 0.251661 |
| Malaria Hotline | 0.246232 |
| emergency department | 0.240225 |
| National Malaria Surveillance | 0.285574 |
| renal failure | 0.262827 |
| malaria infections | 0.263298 |
| P. ovale | 0.286505 |
| CDC malaria staff | 0.25909 |
| uncomplicated malaria infections | 0.235775 |
|
| malaria case surveillance | 0.252939 |
| severe malaria | 0.352133 |
| United States | 0.896772 |
| Malaria vector mosquitoes | 0.242489 |
| malaria | 0.930646 |
| P. vivax | 0.426537 |
| malaria acquisition | 0.236894 |
| effective malaria prevention | 0.258043 |
| P. falciparum cases | 0.252122 |
| malaria symptoms | 0.234463 |
| falciparum severe malaria | 0.263201 |
| CDC-recommended malaria chemoprophylaxis | 0.246437 |
| uncomplicated malaria | 0.239743 |
| falciparum malaria infection | 0.257488 |
| imported malaria cases | 0.321949 |
| malaria prevention recommendations | 0.286299 |
| cases | 0.784194 |
| P. falciparum malaria | 0.345406 |
| Malaria treatment recommendations | 0.26176 |
| malaria cases | 0.484539 |
| malaria prevention | 0.328149 |
| species | 0.236687 |
| malaria transmission | 0.288045 |
| malaria surveillance | 0.32306 |
|
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Centers for Disease Control and Prevention |
Html |
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Emerging Infectious Disease Journal (EID) News Synopsis: October 2012 |
EID News Synopsis: October 2012 |
| Army Health Clinic | 0.708825 |
| Afghan people | 0.622292 |
| A. Hamer | 0.609994 |
| Public Relations | 0.60936 |
| surgical treatment | 0.614795 |
| Angela G. Clendenin | 0.691719 |
| military policies | 0.611978 |
| secondary infections | 0.630007 |
| major health risk | 0.712805 |
| contact | 0.647675 |
| service members | 0.611058 |
| South America. Limited | 0.693634 |
| healthy monkeys | 0.655691 |
| bacterial infections | 0.633863 |
| sterile saline | 0.613278 |
| antimicrobial drugs. Doctors | 0.70312 |
| bare-handed contact | 0.618476 |
| Integrative Bioscience Department | 0.687651 |
| chronic sinus infection | 0.912453 |
| animal bites | 0.638034 |
| Afghan National Security | 0.715224 |
| recent study | 0.710402 |
| Infectious Diseases | 0.618914 |
| CDC Media Relations | 0.702356 |
| monkey bites | 0.735842 |
|
| foodborne norovirus outbreak | 0.697232 |
| tap water | 0.612366 |
| ready-to-eat foods | 0.689567 |
| luke.mease@us.army.mil | 0.611283 |
| U.S. military personnel | 0.715382 |
| public health journal | 0.742485 |
| Wellington S. Tichenor | 0.709388 |
| Aron J. Hall | 0.687647 |
| East China University | 0.683142 |
| U.S. Army | 0.617803 |
| animal contact | 0.627124 |
| New York | 0.614606 |
| infected food worker | 0.709983 |
| B-virus infection | 0.644037 |
| pet adoption | 0.60912 |
| military health care | 0.71314 |
| Luke E. Mease | 0.694386 |
| infected ticks | 0.761745 |
| p.m. EDT | 0.634046 |
| Afghan civilians | 0.622684 |
| monkeys. Park visitors | 0.687768 |
| treatment-resistant sinus infection | 0.767882 |
| Migratory birds | 0.611262 |
| U.S. forces | 0.611478 |
|
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Prevention Strategies - Suicide - Violence Prevention - Injury |
null |
| Prevention Workshop. Ann | 0.592976 |
| lasting harmful effects | 0.566195 |
| suicide prevention planning | 0.743207 |
| mental health | 0.592226 |
| searchable online registry | 0.56207 |
| community connectedness | 0.562131 |
| youth. Eur Child | 0.561956 |
| psychosocial suicide prevention | 0.706585 |
| CDC Research Brief | 0.571666 |
| CDC research study | 0.571423 |
| Adolesc Psychiatr Clin | 0.560992 |
| suicide prevention interventions | 0.762225 |
| Effective prevention strategies | 0.613749 |
| Suicide Prevention Team | 0.699034 |
| National Registry | 0.563902 |
| suicide prevention programs. | 0.698445 |
| World Health Organization | 0.568252 |
| National Academies Press | 0.564497 |
| public health activities | 0.573366 |
| suicide prevention programs | 0.70926 |
| national strategy | 0.59307 |
| suicidal behavior | 0.624858 |
| DiGuiseppi C. Interventions | 0.570381 |
| state-based suicide prevention | 0.718275 |
| suicide prevention | 0.968054 |
|
| M. School-based suicide | 0.673084 |
| State Suicide Prevention | 0.717977 |
| Suicide prevention strategies | 0.693789 |
| D. Youth suicide | 0.663717 |
| public health approach | 0.629001 |
| school-based suicide prevention | 0.75324 |
| Prevent Suicidal Behavior | 0.593302 |
| primary prevention | 0.564054 |
| Youth Suicide Prevention | 0.711512 |
| mental health service | 0.575532 |
| Suicidal Risk. Suicide | 0.698283 |
| Suicide Prevention Resource | 0.741612 |
| substance abuse interventions | 0.573758 |
| D. Prevention Programs | 0.604612 |
| D. Suicide Prevention | 0.697212 |
| National Research Council | 0.567664 |
| systematic review | 0.696921 |
| nonfatal suicidal behavior | 0.59182 |
| broader social environment | 0.56545 |
| Prevention Resource Center | 0.631578 |
| public health problem | 0.591013 |
| Mental Health Services | 0.581407 |
| evidence-based programs | 0.56076 |
| Child Adolesc | 0.56111 |
|
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Centers for Disease Control and Prevention |
Video |
en |
CDC: Tips from Former Smokers -- Shane's Story |
Shane, whose throat cancer was a result of smoking, discusses how he didn't realize the health complications that could result from tobacco use in this video from CDC's "Tips From Former Smokers" campaign.
Comments on this video are allowed in accordance with our comment policy: http://www.cdc.gov/SocialMedia/Tools/CommentPolicy.html
This video can also be viewed at
http://streaming.cdc.gov/vod.php?id=48d4929f9e3c0e99750452465dab482320120517095316765
To learn more about tobacco control and prevention, go to BeTobaccoFree.gov |
| Shane | 0.874473 |
| Smokers | 0.932887 |
|
| CDC | 0.92604 |
| YouTube | 0.871802 |
|
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Centers for Disease Control and Prevention |
Html |
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Global Health - Global Health Security - Prevent |
null |
| endorsement | 0.282622 |
| CDC | 0.261195 |
| institutional factors | 0.552576 |
| supply chains | 0.540718 |
| Promote safe practices | 0.767667 |
| minimal number | 0.510735 |
| responsible conduct | 0.498205 |
| infection control | 0.494301 |
| effort | 0.25287 |
| epidemic-prone diseases | 0.481205 |
| research | 0.250211 |
| Content source | 0.508551 |
| HHS | 0.289022 |
| ways | 0.250539 |
| Notice | 0.25823 |
| novel zoonotic diseases | 0.881873 |
| antimicrobial resistance | 0.591719 |
| dangerous microbes | 0.569856 |
| early detection | 0.526106 |
| animals | 0.307619 |
| surveillance | 0.255805 |
|
| drug-resistant microorganisms | 0.608341 |
| disease threats | 0.563113 |
| settings | 0.256009 |
| development | 0.250599 |
| emergence | 0.278559 |
| strategies | 0.251283 |
| livestock production | 0.518466 |
| diagnosis | 0.250271 |
| biosurveillance | 0.250122 |
| countries | 0.250479 |
| food safety | 0.509984 |
| biological materials | 0.505122 |
| marketing | 0.252275 |
| non-federal site | 0.535025 |
| zoonotic diseases | 0.951589 |
| safely monitoring | 0.515269 |
| effective programs | 0.48883 |
| facilities | 0.249061 |
| employees | 0.248225 |
| antibiotics | 0.275006 |
| humans | 0.262839 |
|
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Centers for Disease Control and Prevention |
Html |
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Decoding MERS Coronavirus: AMD provides quick answers |
To decode the 2014 Middle East Respiratory Syndrome (MERS-CoV), CDC used advanced molecular detection (AMD) methods. |
| CDC | 0.784477 |
| new sequence information | 0.565427 |
| traveler | 0.234564 |
| nation | 0.232614 |
| rapid pace | 0.379031 |
| Respiratory Syndrome Coronavirus | 0.600642 |
| public health investigators | 0.812259 |
| funded work | 0.408066 |
| emergent threats | 0.393171 |
| far-reaching effort | 0.428435 |
| number | 0.23306 |
| lower airways | 0.399334 |
| serum specimen | 0.444247 |
| AMD | 0.540147 |
| stronger safeguards | 0.409148 |
| case | 0.269333 |
| infectious disease outbreaks | 0.594276 |
| Indiana State Department | 0.575975 |
| additional sputum | 0.402224 |
| mucus | 0.256356 |
| timeliness | 0.245394 |
| person | 0.255206 |
| East Respiratory Syndrome | 0.954251 |
| positive result | 0.420351 |
| Action | 0.235846 |
|
| United States | 0.596467 |
| AMD methods | 0.477474 |
| Advanced Molecular Detection | 0.562293 |
| scientific community | 0.387478 |
| significant changes | 0.38065 |
| bioinformatics capabilities | 0.424276 |
| parallel work | 0.377288 |
| Saudi Arabia | 0.626885 |
| Major changes | 0.391272 |
| complete virus genome | 0.62684 |
| patient | 0.269213 |
| genetic sequencing methods | 0.648119 |
| Middle East Respiratory | 0.954449 |
| cases | 0.233042 |
| infectious disease outbreak | 0.621648 |
| unknown agents | 0.386162 |
| positive laboratory result | 0.592779 |
| GenBank | 0.242779 |
| AMD funding | 0.527522 |
| significant leap | 0.43059 |
| infectious disease | 0.623945 |
| AMD program | 0.53947 |
| responses | 0.235918 |
| MERS-CoV sequences | 0.382228 |
|
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Centers for Disease Control and Prevention |
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Final Cumulative Maps & Data for 1999-2014 | West Nile Virus | CDC |
Information on West Nile Virus. Provided by the U.S. Centers for Disease Control and Prevention. |
| North Carolina | 0.87528 |
| Vermont | 0.57611 |
| Puerto Rico | 0.938142 |
| Indiana | 0.583067 |
| Maine | 0.581301 |
| Tennessee | 0.577166 |
| Dist. | 0.586532 |
| Alabama | 0.593276 |
| Arkansas | 0.592172 |
| South Carolina | 0.867726 |
| Utah | 0.576461 |
| Washington | 0.575407 |
| Nebraska | 0.578494 |
| West Virginia | 0.908651 |
| Colorado | 0.591438 |
| Massachusetts | 0.580597 |
| Missouri | 0.579194 |
| Alaska | 0.592908 |
| North Dakota | 0.874321 |
| Arizona | 0.59254 |
| Nevada | 0.578144 |
| Rhode Island | 0.938849 |
| New York | 0.879197 |
|
| Montana | 0.578844 |
| Kentucky | 0.582007 |
| South Dakota | 0.866775 |
| Hawaii | 0.584131 |
| Minnesota | 0.579895 |
| California | 0.591805 |
| Kansas | 0.58236 |
| Delaware | 0.590705 |
| Florida | 0.589955 |
| New Jersey | 0.881132 |
| Michigan | 0.580246 |
| Iowa | 0.582713 |
| Mississippi | 0.579544 |
| Columbia | 0.586514 |
| New Mexico | 0.890167 |
| Illinois | 0.583421 |
| Texas | 0.576814 |
| New Hampshire | 0.892145 |
| Connecticut | 0.591071 |
| Louisiana | 0.581654 |
| Ohio | 0.575656 |
| Georgia | 0.58959 |
| Maryland | 0.580949 |
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