| 4472 |
Centers for Disease Control and Prevention |
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July 3, 2008: Investigation of Outbreak of Human Infections Caused by E. coli O157:H7 | E. coli CDC |
Get the latest CDC information on the recent infections from fresh spinach, and find out what you can do to protect yourself and your family. |
| safe internal temperature | 0.601179 |
| raw ground beef | 0.789995 |
| State health | 0.568132 |
| raw meat | 0.709913 |
| Molecular fingerprinting testing | 0.615294 |
| harmful bacteria | 0.597932 |
| Nebraska Beef Ltd. | 0.764791 |
| FSIS virtual representative | 0.612729 |
| ground beef patties | 0.754312 |
| local health jurisdictions | 0.632222 |
| ill persons | 0.568665 |
| foodborne disease surveillance | 0.60919 |
| additional cases | 0.561893 |
| multi-state outbreak | 0.59094 |
| hemolytic-uremic syndrome | 0.567671 |
| median age | 0.564222 |
| beef manufacturing trimmings | 0.694296 |
| Kroger® retail stores | 0.613965 |
| Escherichia coli O157 | 0.658593 |
| multi-state case-control study | 0.618301 |
| separate cutting boards | 0.598435 |
| public health agencies | 0.72203 |
| O157 illness | 0.564431 |
| Poultry Hotline 1-888-MPHotline | 0.615655 |
| health authorities | 0.565981 |
|
| good food safety | 0.611596 |
| toll-free USDA Meat | 0.621566 |
| Michigan Departments | 0.567112 |
| ground beef | 0.910561 |
| Ohio. CDC | 0.571788 |
| State departments | 0.564536 |
| E. coli | 0.761022 |
| outbreak strain | 0.57819 |
| ground beef samples | 0.719402 |
| Wash cutting boards | 0.603883 |
| H7 infections | 0.58636 |
| ground beef components | 0.714155 |
| soapy water | 0.622694 |
| food safety messages | 0.612305 |
| Kroger® Company stores | 0.611739 |
| Michigan | 0.580557 |
| food safety | 0.796764 |
| ground beef products | 0.710576 |
| national molecular subtyping | 0.615535 |
| United States Department | 0.727326 |
| AgricultureÂ’s Food Safety | 0.634338 |
| Kroger Consumer Hotline | 0.607615 |
| food safety questions | 0.613039 |
| molecular fingerprinting | 0.629161 |
|
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| 6195 |
Centers for Disease Control and Prevention |
Html |
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Predictors of repeated PSA testing among black and white men from the Maryland Cancer Survey, 2006. |
null |
| recent PSA test | 0.366462 |
| high-risk prostate cancer | 0.283254 |
| health insurance | 0.345875 |
| Self-reported repeated PSA | 0.408098 |
| PSA testing | 0.991583 |
| PSA velocity | 0.415372 |
| single PSA concentration | 0.345023 |
| initial PSA measurement | 0.324966 |
| blacks | 0.292815 |
| prostate cancer detection | 0.283247 |
| whites | 0.281049 |
| National Comprehensive Cancer | 0.271725 |
| white men | 0.326189 |
| PSA tests | 0.45312 |
| single PSA | 0.363914 |
| telephone numbers | 0.266629 |
| serum PSA | 0.356659 |
| Maryland Cancer Survey | 0.287342 |
| age groups | 0.274896 |
| Cancer Network guidelines | 0.271594 |
| prostate cancer aggressiveness | 0.283481 |
| PSA test | 0.552332 |
| Comprehensive Cancer Network | 0.272417 |
| PSA concentration | 0.364038 |
| prostate cancer testing | 0.300163 |
|
| United States | 0.27096 |
| age group | 0.29225 |
| individual PSA screening | 0.353788 |
| repeated PSA testing | 0.379858 |
| PSA level | 0.364857 |
| cancer screening rates | 0.270973 |
| men | 0.425021 |
| self-reported PSA testing | 0.365916 |
| PSA screening | 0.356288 |
| health care | 0.348207 |
| black men | 0.356089 |
| race | 0.301558 |
| prostate cancer screening | 0.363932 |
| initial PSA testing | 0.350402 |
| high PSA velocity | 0.347289 |
| prostate cancer | 0.888705 |
| higher proportion | 0.26593 |
| family history | 0.372093 |
| repeat PSA testing | 0.351782 |
| PSA question | 0.324863 |
| serum PSA levels | 0.348273 |
| Cancer Screening Trial | 0.272204 |
| single PSA measurement | 0.360623 |
| low PSA concentrations | 0.347884 |
|
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| 6331 |
Centers for Disease Control and Prevention |
Html |
en |
Using the community readiness model to select communities for a community-wide obesity prevention intervention. |
null |
| Community Psychol | 0.272018 |
| obesity prevention program | 0.251608 |
| broad community participation | 0.255906 |
| address childhood obesity | 0.264074 |
| community coalition | 0.276998 |
| M. Community readiness | 0.302024 |
| community decision makers | 0.290239 |
| community-based obesity research | 0.273633 |
| community knowledge | 0.29135 |
| obesity prevention programs | 0.28946 |
| community climate | 0.38622 |
| study team | 0.493045 |
| community efforts | 0.30993 |
| obesity prevention | 0.652413 |
| food service | 0.358569 |
| childhood obesity prevention | 0.58477 |
| obesity prevention intervention | 0.31412 |
| obesity interventions | 0.259012 |
| community readiness | 0.675599 |
| obesity prevention efforts | 0.286276 |
| school food service | 0.287292 |
| community | 0.828785 |
| efforts | 0.317263 |
| randomized community intervention | 0.259592 |
| Overall readiness scores | 0.280487 |
|
| community readiness key | 0.306536 |
| school district | 0.255046 |
| CRM | 0.303086 |
| community members | 0.28405 |
| community leaders | 0.29728 |
| obesity prevention model | 0.280922 |
| comprehensive obesity prevention | 0.261846 |
| Community Readiness Survey | 0.304229 |
| overall readiness score | 0.317315 |
| CRM protocol | 0.284676 |
| childhood obesity issue | 0.276096 |
| community readiness model | 0.544671 |
| L. Community readiness | 0.30577 |
| community-based obesity prevention | 0.375962 |
| childhood obesity intervention | 0.303074 |
| community prevention coalitions | 0.246755 |
| community readiness measure | 0.311644 |
| community capacity | 0.272587 |
| physical activity | 0.31371 |
| mean readiness score | 0.287508 |
| food service director | 0.274333 |
| multilevel community interventions | 0.275298 |
| childhood obesity | 0.968163 |
| community coalition representative | 0.256705 |
|
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| 7550 |
Centers for Disease Control and Prevention |
Html |
en |
Update on Vaccine-Derived Polioviruses - Worldwide, April2011-June 2012 |
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. |
| genetically distinct aVDPV2s | 0.58483 |
| sewage samples | 0.765584 |
| corresponding OPV strain | 0.604366 |
| genetically related VDPV | 0.537846 |
| unvaccinated AFP patients | 0.623889 |
| oral poliovirus vaccine | 0.559333 |
| poliovirus serotypes | 0.564196 |
| highly divergent aVDPV2s | 0.602431 |
| AFP | 0.92699 |
| Polio Laboratory Network | 0.605627 |
| AFP patients | 0.77479 |
| low poliovirus vaccine | 0.639061 |
| AFP cases | 0.597464 |
| prolonged iVDPV infections | 0.64319 |
| poliovirus vaccination coverage | 0.539178 |
| vaccination coverage | 0.66973 |
| OPV | 0.703481 |
| primary immunodeficiency | 0.654611 |
| VDPV circulation | 0.611944 |
| OPV coverage | 0.585097 |
| iVDPV infections | 0.648363 |
| polio vaccination coverage | 0.588852 |
| middle-income countries | 0.577541 |
|
| World Health Organization | 0.730505 |
| VDPVs | 0.705889 |
| genetically related VDPVs | 0.527278 |
| divergent aVDPVs | 0.572075 |
| immunologically normal OPV | 0.544599 |
| inactivated poliovirus vaccine | 0.588075 |
| poliovirus vaccine coverage | 0.691586 |
| high poliovirus vaccine | 0.532867 |
| common variable immunodeficiency | 0.637255 |
| severe combined immunodeficiency | 0.539073 |
| low OPV coverage | 0.57622 |
| persons | 0.634684 |
| AFP patient | 0.818899 |
| primary immunodeficiencies | 0.69924 |
| global poliovirus surveillance | 0.531367 |
| high OPV coverage | 0.540259 |
| newly identified persons | 0.548551 |
| insensitive AFP surveillance | 0.620634 |
| Global Polio Laboratory | 0.603898 |
| previously reported VDPV | 0.535164 |
| high vaccination coverage | 0.61824 |
| polio eradication efforts | 0.529512 |
| highly divergent aVDPV2 | 0.609456 |
|
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| 8288 |
Centers for Disease Control and Prevention |
Html |
en |
Mobile Device Use While Driving - United States and SevenEuropean Countries, 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. |
| EuroPNStyles survey respondents | 0.291163 |
| Alternate Text | 0.288552 |
| representative telephone survey | 0.267709 |
| public relations firm | 0.267084 |
| mobile communication technologies | 0.36583 |
| recent national estimates | 0.266344 |
| risky driving behaviors | 0.354089 |
| road traffic crashes | 0.371217 |
| Rebecca B. Naumann | 0.308606 |
| similar survey methods | 0.270911 |
| Ñ?ЛП
Road traffic | 0.269736 |
| alcohol-impaired driving | 0.311606 |
| U.S. adult drivers | 0.268111 |
| percentages | 0.315638 |
| countries | 0.325434 |
| significantly larger percentage | 0.306214 |
| worldwide social marketing | 0.266362 |
| text message | 0.338844 |
| global public health | 0.317808 |
| weighted percentage | 0.367568 |
| cell phone capabilities | 0.287894 |
| drivers | 0.293068 |
| United States | 0.790601 |
| phone use laws | 0.287373 |
| age group | 0.283913 |
|
| differences | 0.274409 |
| phone technological advances | 0.271149 |
| Response choices | 0.415985 |
| fall HealthStyles survey | 0.415922 |
| cell phone | 0.95477 |
| public education campaigns | 0.35906 |
| prevalence estimates | 0.267009 |
| prevalence | 0.297523 |
| HealthStyles data analyzed | 0.276819 |
| high-visibility enforcement | 0.301455 |
| seat belt nonuse | 0.36212 |
| injury prevention | 0.291031 |
| e-mail messages | 0.542365 |
| cell phones | 0.272791 |
| HealthStyles survey data | 0.286202 |
| Population Survey proportions | 0.272251 |
| spring HealthStyles survey | 0.395115 |
| United Kingdom | 0.271437 |
| self-reported mobile device | 0.275568 |
| distracted driving–related crashes | 0.268938 |
| mobile device | 0.625597 |
| public health problem | 0.317804 |
| HealthStyles survey responses | 0.27865 |
| HealthStyles survey | 0.459228 |
|
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| 12579 |
Centers for Disease Control and Prevention |
Video |
en |
Ebola PSA from First Lady of Guinea, Hadja Djene Kaba Condé (in French) |
(In French) The First Lady of Guinea, Hadja Djene Kaba Condé, delivers a PSA about Ebola. Washing hands well can help protect yourself and your family from Ebola and also other diseases. Ebola is a very serious disease. But it is possible to survive and heal with proper medical treatment. If you or someone you know thinks he has the disease, go to the hospital immediately for treatment.
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://www.cdc.gov/vhf/ebola/resources/videos/ebola-first-lady-guinea-psa.mp4 |
| Djene Kaba Condé | 0.99122 |
| Guinea | 0.33821 |
| Hadja | 0.216911 |
|
| YouTube | 0.351326 |
| Lady | 0.217424 |
|
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| 13181 |
Centers for Disease Control and Prevention |
Html |
en |
Global Road Safety | CDC Features |
Learn to protect yourself and others from road traffic injuries when traveling. |
| huge economic burden | 0.522789 |
| safety advocacy platforms | 0.517179 |
| car seat | 0.488651 |
| post-crash care | 0.462581 |
| booster seat | 0.486634 |
| key outcome | 0.461606 |
| road safety programs | 0.543792 |
| program planning | 0.46184 |
| development assistance | 0.466112 |
| Action Plan | 0.459985 |
| violence-related targets | 0.46057 |
| road traffic crashes | 0.789043 |
| road infrastructure | 0.482536 |
| global number | 0.462062 |
| Sustainable Development Goals | 0.513758 |
| Safe International Road | 0.540564 |
| violence prevention | 0.506747 |
| middle-income countries | 0.588661 |
| civil society groups | 0.511506 |
| motor vehicles | 0.472941 |
| Injury Center | 0.467495 |
| stronger injury | 0.466814 |
| Tampere Declaration | 0.515228 |
| road traffic injury | 0.630979 |
| Evaluate surveillance systems | 0.507521 |
|
| Motor vehicle crashes | 0.551928 |
| social development | 0.473651 |
| seat belts | 0.484951 |
| United States | 0.539141 |
| World Injury Conference | 0.519916 |
| Obey speed limits | 0.518977 |
| young people | 0.469421 |
| cell phone | 0.463813 |
| road safety management | 0.541244 |
| direct technical assistance | 0.513036 |
| traffic injury surveillance | 0.527821 |
| non-governmental organizations | 0.460316 |
| surveillance systems | 0.518224 |
| public health concern | 0.519113 |
| top-heavy buses | 0.467541 |
| Learn tips | 0.475217 |
| global commitment | 0.45998 |
| Current trends | 0.463928 |
| traffic injury data | 0.531679 |
| road users | 0.485638 |
| road traffic injuries | 0.953258 |
| broader transport networks | 0.510212 |
| seat belt | 0.527869 |
| Global Decade | 0.461103 |
|
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Centers for Disease Control and Prevention |
Html |
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Opioid Basics |
null |
| Increases | 0.257056 |
| Official Journal | 0.442791 |
| United States | 0.444252 |
| morphine | 0.289168 |
| number | 0.241283 |
| Algren | 0.277353 |
| times | 0.243602 |
| U.S. | 0.241974 |
| Disease Control | 0.438302 |
| men | 0.241929 |
| overdose deaths | 0.869059 |
| American College | 0.445029 |
| majority | 0.256947 |
| methadone | 0.276781 |
| Heroin | 0.365818 |
| MMWR | 0.241695 |
| drug overdose deaths | 0.865424 |
| Opioid-Involved Overdose Deaths | 0.83306 |
| OxyContin | 0.287098 |
|
| Fentanyl-associated fatalities | 0.487914 |
| income levels | 0.465491 |
| illicit drug users | 0.688083 |
| Medical Toxicology | 0.651679 |
| severe pain | 0.572652 |
| age groups | 0.463588 |
| Wayne County | 0.448703 |
| advanced cancer pain.1 | 0.702104 |
| Common types | 0.497996 |
| effects | 0.247664 |
| risks | 0.252794 |
| doctors | 0.249404 |
| et al | 0.455311 |
| opioid pain reliever | 0.949589 |
| Prescription opioids | 0.768169 |
| rise | 0.248895 |
| illegal opioid | 0.626062 |
| Monteilh | 0.240242 |
| Rubin | 0.258783 |
|
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| 14605 |
Centers for Disease Control and Prevention |
Html |
en |
Protect Babies from Whooping Cough Infographic | Vaccines |
Protect Babies from Whooping Cough Infographic |
| doses | 0.411815 |
| half | 0.409183 |
| grandparents | 0.411571 |
| arrow | 0.410483 |
| Tdap shot | 0.463041 |
| home* | 0.408982 |
| whooping cough vaccine | 0.871734 |
| Human Services | 0.447895 |
| protection | 0.409086 |
| babies | 0.424489 |
| source | 0.409436 |
| office | 0.408549 |
| trouble breathing | 0.456684 |
| U.S. Department | 0.444496 |
| local health department | 0.484749 |
| Disease Control | 0.44779 |
| whooping cough vaccines | 0.673639 |
| pregnant woman | 0.499212 |
| whooping cough catch | 0.684225 |
| nurse | 0.42232 |
| friend | 0.408984 |
|
| newborn baby | 0.450331 |
| Children | 0.410819 |
| hospital | 0.419971 |
| Facebook | 0.411409 |
| sister | 0.409008 |
| infants | 0.410647 |
| www.cdc.gov/whoopingcough | 0.409146 |
| Whooping cough cases | 0.697047 |
| respiratory infection | 0.456145 |
| Mom | 0.410257 |
| picture | 0.462479 |
| doctor | 0.417585 |
| whooping cough | 0.994906 |
| childcare providers | 0.452144 |
| severe coughing | 0.459298 |
| baby | 0.489941 |
| Pinit | 0.40891 |
| young daughter | 0.448744 |
| time | 0.408683 |
| rise | 0.40951 |
| brother | 0.408618 |
|
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| 15939 |
Centers for Disease Control and Prevention |
Html |
en |
HAN Archive - 00395|Health Alert Network (HAN) |
Health Alert Network (HAN). Provided by the Centers for Disease Control and Prevention (CDC). |
| drug overdose fatalities | 0.503045 |
| previous overdose | 0.409623 |
| fentanyl submissions | 0.616937 |
| drug overdose | 0.587084 |
| fentanyl-related overdose outbreaks | 0.517191 |
| fentanyl analogs | 0.743259 |
| fentanyl analog drug | 0.680583 |
| public health departments | 0.407871 |
| potent fentanyl analog | 0.672129 |
| fentanyl | 0.995118 |
| drug overdose scenes | 0.488098 |
| overdose event | 0.403201 |
| Morb Mortal Wkly | 0.497023 |
| health care professionals | 0.41704 |
| Orally-ingested counterfeit pills | 0.390746 |
| National Forensic Laboratory | 0.395675 |
| drug submissions | 0.431566 |
| opioid overdose deaths | 0.539087 |
| fentanyl seizures | 0.600968 |
| fentanyl overdose | 0.933351 |
| illicitly manufactured fentanyl | 0.857649 |
| United States | 0.44045 |
| diverted prescription pills | 0.387487 |
| fatal overdose | 0.437324 |
| acetyl fentanyl | 0.672074 |
|
| Fatal fentanyl | 0.591144 |
| MMWR Morb Mortal | 0.497043 |
| U.S. drug market | 0.42819 |
| Forensic Laboratory Information | 0.395663 |
| U.S. fentanyl | 0.584007 |
| counterfeit pills | 0.697841 |
| Mortal Wkly Rep | 0.484256 |
| furanyl fentanyl | 0.619115 |
| fentanyl-laced counterfeit pills | 0.488367 |
| public health | 0.424314 |
| fentanyl-related compounds | 0.627639 |
| drug overdose deaths | 0.46624 |
| fentanyl analog | 0.682113 |
| fentanyl-related overdose fatalities | 0.481987 |
| overdose fatalities | 0.511754 |
| Drug Enforcement Administration | 0.440886 |
| fentanyl doubling | 0.614588 |
| fentanyl screening | 0.593799 |
| non-pharmaceutical fentanyl | 0.666607 |
| Drug Overdose Health | 0.497207 |
| toxic fentanyl-related compounds | 0.498834 |
| opioid overdose cases | 0.497509 |
| opioid-related overdose | 0.429013 |
| drug overdose outbreaks | 0.500936 |
|
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