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July 1, 2009: States Where Persons Infected with the Outbreak Strain of E. coli O157:H7 Live, United States, by State | 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. |
| New York | 0.486343 |
| Company | 0.419114 |
| CDC | 0.42392 |
| United States | 0.669168 |
| Maine | 0.417334 |
| DNA fingerprint | 0.499162 |
| JBS Swift Beef | 0.605157 |
| O157 Infections Associated | 0.585313 |
| California | 0.417387 |
| New Jersey | 0.486936 |
| H7 | 0.592403 |
| advanced DNA test | 0.569183 |
|
| Michigan | 0.417281 |
| persons | 0.510563 |
| number | 0.417515 |
| New Mexico | 0.486667 |
| New Hampshire | 0.487314 |
| ill persons | 0.490722 |
| confirmatory tests | 0.492488 |
| E. coli | 0.996849 |
| outbreak strain | 0.834605 |
| Multistate Outbreak | 0.588818 |
| H7 Live | 0.587658 |
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Global Health - South Africa - CDC's HIV/AIDS Care and Treatment Programs: TB and HIV |
CDC partners in South Africa with government and parastatal agencies, private institutions, universities and non-governmental organizations to improve the country’s public health foundation, to prevent transmission of HIV, to provide care and treatment for those who are already infected with HIV, and to strengthen laboratory capacity.
|
| southern Africa sub | 0.378146 |
| test kits | 0.27099 |
| Laboratory investments | 0.268604 |
| number | 0.226758 |
| pregnant women | 0.271762 |
| Disease Control | 0.273419 |
| special populations | 0.270508 |
| integrated response | 0.278505 |
| TB/HIV clinical services | 0.433796 |
| TB screening | 0.539373 |
| miners | 0.22894 |
| TB patients | 0.531144 |
| biosafety cabinets | 0.271045 |
| TB incidence | 0.593332 |
| peri-mining communities | 0.271833 |
| HIV+ populations | 0.275581 |
| South Africa | 0.871379 |
| HIV systems integration | 0.403273 |
| Dr. Hloniphile Mabuza | 0.35736 |
| Human resources | 0.268815 |
| Dr Hloniphile Mabuza | 0.3422 |
| age group | 0.284986 |
| prisoners | 0.227811 |
| targets | 0.224212 |
|
| TB/HIV co-infection rate | 0.466367 |
| TB epidemic | 0.695044 |
| TB high burden | 0.630341 |
| Hloniphile Mabuza | 0.360779 |
| collaborative TB/HIV activities | 0.426624 |
| dual epidemics | 0.280918 |
| TB/HIV response | 0.376628 |
| sub district | 0.280202 |
| TB diagnostics | 0.533101 |
| drug resistant strains | 0.338003 |
| TB infection prevention | 0.593079 |
| per-mining communities | 0.274831 |
| TB/HIV Lead | 0.389604 |
| implementation | 0.223403 |
| Global AIDS Program | 0.336367 |
| AFB smear | 0.275322 |
| greatest brunt | 0.289069 |
| TB | 0.949547 |
| Global TB report | 0.631171 |
| limited GeneXpert equipment | 0.330516 |
| site-level integration | 0.269389 |
| PLHIV | 0.223412 |
| congregate settings | 0.271696 |
| HIV epidemic. South | 0.46238 |
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Skin Cancer Risk Behaviors Among U.S. Adults |
One study looked at trends over time in sun-protective behaviors and sunburn among U.S. adults between the ages of 18 and 29 years. A second study looked at indoor tanning among U.S. adults aged 18 years and older. |
| skin cancer | 0.659202 |
| invisible kind | 0.221337 |
| UV rays | 0.223399 |
| sunscreen | 0.204505 |
| skin cancer prevention | 0.312588 |
| United States | 0.339637 |
| sunburns | 0.208932 |
| National Health Interview | 0.317489 |
| sunburn | 0.201264 |
| non-Hispanic black women | 0.416517 |
| NHIS data | 0.328502 |
| deadliest form | 0.232072 |
| common form | 0.223682 |
| health outcome | 0.21893 |
| Disease Control | 0.292632 |
| long-sleeved shirt | 0.220907 |
|
| non-Hispanic blacks | 0.328376 |
| ethnic groups | 0.211987 |
| Skin cancer treatment | 0.335328 |
| non-hispanic white women | 0.902528 |
| non-Hispanic whites | 0.326601 |
| indoor tanning device | 0.329158 |
| non-melanoma skin cancers | 0.349246 |
| sun-protective behaviors | 0.224946 |
| non-Hispanic white adults | 0.399596 |
| indoor tanning devices | 0.848912 |
| wide-brimmed hat | 0.21839 |
| U.S. adults | 0.520772 |
| shade | 0.212762 |
| sun protective behaviors | 0.49234 |
| adults—United States | 0.204823 |
| long clothing | 0.211053 |
|
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FY 2014 AMD Projects: Disease Surveillance |
To improve surveillance of vaccine-preventable diseases, like measles, mumps, and rubella, CDC uses advanced molecular detection (AMD). |
| CDC | 0.437114 |
| state capacity | 0.482636 |
| international partners | 0.487044 |
| non-vaccine-preventable diseases | 0.509185 |
| additional genetic information | 0.5507 |
| additional steps | 0.491362 |
| gastrointestinal illnesses | 0.484932 |
| genomic RNA | 0.587079 |
| complete genomic information | 0.58114 |
| entire genetic make-up | 0.564762 |
| easy improvement | 0.482506 |
| highly variable viruses | 0.663407 |
| rubella | 0.44619 |
| RNA viruses | 0.936801 |
| pathogenic organisms | 0.500701 |
| previously unknown viruses | 0.652112 |
| molecular detection | 0.483383 |
| DNA viruses | 0.594691 |
| viral pathogens | 0.505072 |
| Centers Program | 0.484416 |
| state public health | 0.692933 |
| public health laboratories | 0.814998 |
| larger DNA genomes | 0.572022 |
| VGP | 0.470328 |
| important viral diseases | 0.578846 |
|
| user-friendly computer analyses | 0.482415 |
| United States | 0.482634 |
| Current methods | 0.490848 |
| disease outbreaks | 0.502527 |
| genetic code | 0.496725 |
| important disease threats | 0.550562 |
| Preventable Disease Reference | 0.557099 |
| print-only PDF fact | 0.565228 |
| genetic material | 0.503957 |
| technology transfer | 0.484951 |
| standardized laboratory methods | 0.555013 |
| viruses spread | 0.585258 |
| faster detection | 0.485831 |
| polio | 0.440663 |
| genomic picture | 0.514176 |
| structure | 0.432723 |
| smaller organisms | 0.499962 |
| complete genomic sequences | 0.583509 |
| viral genomics pipeline | 0.568729 |
| genome sequencing | 0.592123 |
| vaccine-preventable diseases | 0.68679 |
| standard process | 0.49516 |
| state laboratories | 0.492362 |
| measles | 0.44439 |
|
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Enterovirus D68 (EV-D68) |
Enterovirus D68 (EV-D68) is one of many non-polio enteroviruses. |
| Enterovirus D68 | 0.736639 |
| common type | 0.524062 |
| CDC | 0.570702 |
| body aches | 0.468189 |
| runny nose | 0.465225 |
| specific lab tests | 0.508131 |
| Health Care Professionals | 0.506626 |
| respiratory secretions | 0.501178 |
| state health departments | 0.503226 |
| Small numbers | 0.47106 |
| nasal mucus | 0.464171 |
| EV-D68 likely spreads | 0.546488 |
| enterovirus typing | 0.544698 |
| enterovirus season | 0.538839 |
| especially long-term control | 0.497715 |
| CDC’s guidance | 0.48332 |
| enterovirus testing | 0.561772 |
| symptoms | 0.531301 |
| different types | 0.528074 |
| asthma medications | 0.469871 |
| state public health | 0.518028 |
| primary care provider | 0.500973 |
| difficulty breathing | 0.509492 |
| CDC medical epidemiologist | 0.533894 |
|
| EV-D68 testing | 0.48777 |
| medical treatment | 0.461995 |
| United States | 0.513991 |
| mild symptoms | 0.522906 |
| likely many thousands | 0.46941 |
| enterovirus infection | 0.546657 |
| infected person coughs | 0.539177 |
| severe symptoms | 0.524016 |
| muscle aches | 0.466216 |
| mild EV-D68 infections | 0.551232 |
| polymerase chain reaction | 0.507691 |
| higher risk | 0.510875 |
| future seasons | 0.529265 |
| non-polio enteroviruses | 0.559256 |
| EV-D68 | 0.630158 |
| EV-D68 cases | 0.499425 |
| asthma action plan | 0.595303 |
| people | 0.490265 |
| respiratory illnesses | 0.488985 |
| enteroviruses | 0.653222 |
| intensive supportive therapy | 0.502573 |
| confirmed EV-D68 infection | 0.562029 |
| nationwide outbreak | 0.53129 |
| severe respiratory illness | 0.933572 |
|
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| 12119 |
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en |
CDC Web-based PPE Training |
Description |
| Ebola Preparedness | 0.956629 |
|
| PPE Guidelines Introduction | 0.915042 |
|
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Mortality Among Blacks or African Americans with HIVInfection - United States, 2008-2012 |
Please note: An erratum has been published for this article. To view the erratum, please click here. |
| National HIV/AIDS Strategy | 0.574346 |
| injection drugs | 0.386991 |
| male-to-male sexual contact | 0.40158 |
| older persons | 0.380195 |
| blacks | 0.740444 |
| transmission category | 0.560817 |
| current HIV prevention | 0.517849 |
| whites | 0.430539 |
| number | 0.39057 |
| Azfar-e-Alam Siddiqi | 0.420449 |
| new HIV | 0.497377 |
| HIV-related health disparities | 0.43877 |
| lower death rates | 0.416179 |
| deaths | 0.561717 |
| high-impact prevention approach | 0.500961 |
| highest death rates | 0.42503 |
| younger persons | 0.380797 |
| highest rate | 0.419088 |
| lowest death rate | 0.448047 |
| H. Irene Hall | 0.416512 |
| HIV-related mortality | 0.397872 |
| black females | 0.393952 |
| persons | 0.833722 |
| actual mortality experience | 0.416577 |
| public health strategies | 0.406936 |
|
| all-cause mortality | 0.511256 |
| human immunodeficiency virus | 0.414731 |
| death rates | 0.485232 |
| races/ethnicities | 0.390394 |
| Latinos | 0.39314 |
| disproportionate HIV burden | 0.51575 |
| death rate | 0.726106 |
| National HIV Surveillance | 0.645622 |
| 3-year survival rate | 0.450639 |
| U.S. Census Bureau | 0.398912 |
| oldest persons | 0.378421 |
| HIV diagnosis | 0.514475 |
| HIV transmission category | 0.53838 |
| black persons | 0.51343 |
| rates | 0.485745 |
| consistent decline | 0.406378 |
| higher all-cause mortality | 0.436678 |
| total U.S. population | 0.405471 |
| lowest rates | 0.397897 |
| highest death rate | 0.443006 |
| HIV | 0.984931 |
| U.S. Census | 0.410023 |
| HIV testing | 0.474811 |
| HIV infection | 0.81366 |
|
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MMWR News Synopsis for April 16, 2015 |
MMWR – Morbidity and Mortality Weekly Report CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| female breast cancer | 0.485602 |
| newly diagnosed cancer | 0.634984 |
| mental health | 0.501589 |
| York State Department | 0.474007 |
| female breast | 0.545904 |
| occupational health | 0.495305 |
| Ebola outbreak | 0.441479 |
| Youth Tobacco Survey | 0.481769 |
| timely vaccination | 0.412344 |
| World Health Organization | 0.522702 |
| comprehensive tobacco control | 0.483275 |
| safe burial practices | 0.642478 |
| epidemiology capacity | 0.69523 |
| oral health | 0.49653 |
| critical technology capacity | 0.490683 |
| current e-cigarette | 0.490553 |
| new york state | 0.727613 |
| Multiple drug involvement | 0.458366 |
| United States Cancer | 0.505086 |
| high MMR vaccination | 0.519604 |
| Epidemiology Capacity Assessment | 0.531874 |
| Territorial Epidemiologists | 0.494112 |
| CDC Media Relations | 0.979267 |
| new cases | 0.417717 |
| cancer rates | 0.411062 |
|
| public health epidemiology | 0.560609 |
| Puerto Rico | 0.548785 |
| important public health | 0.526024 |
| minimal-to-no epidemiology capacity | 0.529394 |
| United States | 0.677096 |
| public health threat | 0.512034 |
| measles cases | 0.614571 |
| federal government statistics | 0.471352 |
| state-level epidemiology capacity | 0.535937 |
| sensitive safe burial | 0.473819 |
| cancer cases | 0.426555 |
| health departments | 0.426417 |
| major gaps | 0.47819 |
| substance abuse | 0.470125 |
| optimal capacity | 0.413513 |
| public health | 0.737306 |
| middle school students | 0.781228 |
| Consuming Undercooked Chicken | 0.459974 |
| Clostridium baratii Type | 0.466384 |
| public health programs | 0.523282 |
| opioid analgesics | 0.561338 |
| high school students | 0.731369 |
| Health Public Affairs | 0.518321 |
| unknown vaccination status | 0.497915 |
|
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Announcements: Global Road Safety Week - May 4-10,2015 |
The United Nations Road Safety Collaboration has declared May 4–10, 2015, as the third United Nations Global Road Safety Week (GRSW). With the theme #SaveKidsLives, this year's GRSW is dedicated to children, focusing on their safety on the world's roads, actions that better ensure this, and the promotion for inclusion of safe and sustainable transport in the U.N. |
| CDC | 0.479254 |
| promotion efforts | 0.466763 |
| Road Safety Collaboration | 0.692297 |
| global development agenda | 0.535979 |
| United Nations Decade | 0.532899 |
| Human Services | 0.512785 |
| MMWR HTML versions | 0.517582 |
| U.S. Department | 0.510691 |
| electronic PDF version | 0.512678 |
| Child Declaration | 0.473117 |
| regional congress | 0.466757 |
| government agencies | 0.468782 |
| World Health Organization | 0.525784 |
| Injury Center | 0.467426 |
| Additional information | 0.466177 |
| Contact GPO | 0.474647 |
| commercial sources | 0.464534 |
| SaveKidsLives campaign | 0.478261 |
| GRSW | 0.475632 |
| private sector | 0.465174 |
| original paper copy | 0.515105 |
| safety tips | 0.495238 |
| Global Road Safety | 0.682275 |
| Children Safe | 0.475201 |
|
| share best practices | 0.526381 |
| United Nations Road | 0.676224 |
| United States | 0.472247 |
| U.S. Government Printing | 0.520602 |
| original MMWR paper | 0.515675 |
| key leaders | 0.468819 |
| development agenda | 0.546407 |
| child road safety | 0.585205 |
| road safety | 0.946639 |
| MMWR readers | 0.467122 |
| Costa Rica | 0.464045 |
| U.S. efforts | 0.465918 |
| road safety experts | 0.591653 |
| non-governmental organizations | 0.468153 |
| sustainable transport | 0.476622 |
| world leaders | 0.475081 |
| Safe Kids Coalition | 0.521201 |
| larger Decade | 0.468362 |
| typeset documents | 0.464483 |
| trade names | 0.46457 |
| post-2015 development agenda | 0.541748 |
| non-CDC sites | 0.463857 |
| Nations Road Safety | 0.69144 |
| consensus document | 0.467747 |
|
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Videos | Million Hearts |
Watch and share videos about the costs and prevention of heart attacks and stroke. |
| Blood Pressure | 0.357694 |
| arterial según las | 0.679104 |
| Vital Signs | 0.362526 |
| official U.S. government | 0.556595 |
| web site | 0.347012 |
| medicamentos para la | 0.744277 |
| Million Hearts® | 0.664898 |
| Ellsworth Medical Clinic | 0.596886 |
| Heart Age | 0.371872 |
| La historia | 0.445805 |
|
| Hearts® Story | 0.919197 |
| arterial tal como | 0.745008 |
| Hypertension Control Champion | 0.594791 |
| Heart Health | 0.572252 |
| Janet Wright | 0.36435 |
| Spreading Innovation | 0.359754 |
| Heart Attack | 0.398423 |
| José | 0.327836 |
| Disease Control | 0.348424 |
|
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