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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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Centers for Disease Control and Prevention |
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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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Centers for Disease Control and Prevention |
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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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Centers for Disease Control and Prevention |
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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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Centers for Disease Control and Prevention |
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Asthma - Asthma Call-back Survey Prevalence - Table 13 |
Multiple Year (2006 - 2010) Child Asthma Call-back Survey Prevalence Table 13 |
| TABLE | 0.300077 |
| daycare | 0.449906 |
| Survey | 0.282313 |
| asthma management plan | 0.947401 |
| past year3 | 0.608319 |
|
| school | 0.352377 |
| BRFSS Asthma Call-back | 0.990732 |
| asthma status | 0.70269 |
| state/territory | 0.360599 |
| percent | 0.32264 |
|
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Centers for Disease Control and Prevention |
Html |
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Making Health Care Safer infographic - CDC |
CDC Vital Signs - Making Health Care Safer |
| new doctors | 0.597962 |
| hands | 0.51554 |
| long-term facility | 0.624917 |
| proper testing | 0.609734 |
| patients | 0.486529 |
| long-term critical care | 0.813026 |
|
| fever | 0.452184 |
| stroke | 0.456618 |
| local short-stay hospital | 0.972368 |
| long-term acute-care hospital | 0.79902 |
| Jan | 0.671433 |
| CRE | 0.775256 |
|
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Centers for Disease Control and Prevention |
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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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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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Centers for Disease Control and Prevention |
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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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Centers for Disease Control and Prevention |
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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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