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CDC Releases Second Periodic Health Disparities & Inequalities Report | CDC Features |
CDC and its partners work to identify and address the factors that lead to health disparities among racial, ethnic, geographic, socioeconomic, and other groups so that barriers to health equity can be removed. |
| periodic reports | 0.368499 |
| Mortality Weekly Report | 0.462402 |
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| Healthcare Disparities Report | 0.599323 |
| health equity | 0.405276 |
| Press Release | 0.368847 |
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| health disparities | 0.952874 |
| health-related quality | 0.372032 |
| behavioral risk factors | 0.563034 |
| asthma attacks | 0.368403 |
| healthier foods | 0.372577 |
| recent trends | 0.371782 |
| major highways | 0.370322 |
| population characteristics | 0.369803 |
| environmental hazards | 0.370636 |
| new data | 0.378418 |
| nonfatal work-related injuries | 0.436376 |
| Inequalities Report | 0.498197 |
| nonfederal partners | 0.368779 |
| national level | 0.374853 |
| environmental exposures | 0.376789 |
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| wide range | 0.376783 |
| health indicators | 0.395453 |
| United States | 0.538155 |
| useful data | 0.380341 |
| CDC Releases | 0.440147 |
| Disparities Analytics | 0.511807 |
| consolidated assessment | 0.376539 |
| activity limitations | 0.372077 |
| National Partnership | 0.369857 |
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| Healthy People | 0.436504 |
| compelling argument | 0.369042 |
| health care | 0.394689 |
| modifiable disparities | 0.538525 |
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| Documents Health Disparities | 0.593886 |
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| latest report | 0.393154 |
| consistent data | 0.375184 |
| health surveys | 0.395542 |
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| ongoing variations | 0.369634 |
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Safe Transport in Emergencies | CDC Features |
September is National Preparedness Month. Read one family’s story to find out how emergency preparedness can affect children with special health care needs. |
| Independent Living Centers | 0.77431 |
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| different situations | 0.678865 |
| family member | 0.659105 |
| disability services | 0.645813 |
| easy steps | 0.643644 |
| United States concerns | 0.768701 |
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| government agencies | 0.651974 |
| hard time | 0.680224 |
| local transportation | 0.660258 |
| public health emergencies | 0.776037 |
| ice storm | 0.823175 |
| accessible transportation | 0.655501 |
| special health care | 0.998459 |
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| Cerebral means | 0.675653 |
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| severe ice storm | 0.80352 |
| recent hurricanes | 0.647695 |
| proper medical attention | 0.794601 |
| non-profit groups | 0.651896 |
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| safe environment | 0.662844 |
| pandemic influenza | 0.650594 |
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| local community | 0.663773 |
| certain tasks | 0.643173 |
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| emergency plan | 0.68063 |
| place | 0.665743 |
| emergency services | 0.655349 |
| Mary | 0.724087 |
| evacuation plans | 0.664209 |
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| common motor disability | 0.774887 |
| escape plan | 0.669508 |
| quadriplegia cerebral palsy | 0.86656 |
| community organizations | 0.657246 |
| abnormal brain development | 0.775303 |
| transportation | 0.721458 |
| unexpected events | 0.649387 |
| Family Voices | 0.660494 |
| family | 0.67737 |
| major challenges | 0.67449 |
| local fire department | 0.650661 |
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CDC - Parasites - Features - Springtime for Raccoons: Be aware of Baylisascaris procyonis |
Raccoons emerge from their winter dormancy (sleep) and become more active in the spring. They begin scavenging for food and searching for a mate. This means raccoons may be around your home more often in the spring. |
| endorsement | 0.547222 |
| CDC | 0.537469 |
| suitable spaces | 0.687398 |
| attics | 0.556154 |
| objects | 0.534831 |
| Baylisascaris infection | 0.751686 |
| soil | 0.534906 |
| wild animals | 0.667721 |
| availability | 0.532511 |
| Baylisascaris procyonis | 0.777649 |
| trees | 0.533681 |
| crawl spaces | 0.699468 |
| spring | 0.578308 |
| sleep | 0.539784 |
| Trash cans | 0.686515 |
| HHS | 0.55014 |
| Notice | 0.536123 |
| raccoon feces | 0.725767 |
| children | 0.534358 |
| omnivores | 0.556423 |
| infections | 0.53865 |
|
| winter dormancy | 0.739832 |
| burrows | 0.545152 |
| suburban areas | 0.676524 |
| mistake | 0.547854 |
| roundworm | 0.553799 |
| cases | 0.535535 |
| nature | 0.533785 |
| caves | 0.537532 |
| night | 0.534099 |
| dens | 0.611414 |
| dirt | 0.535244 |
| animal waste | 0.688769 |
| raccoons | 0.910618 |
| people | 0.6128 |
| water | 0.569647 |
| food | 0.612492 |
| home | 0.572851 |
| mouth | 0.539217 |
| non-federal site | 0.692269 |
| mate | 0.551202 |
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Hydrogen bromide - NIOSH Pocket Guide to Chemical Hazards |
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| MPEG | 0.378858 |
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| PDF | 0.261307 |
| PPT | 0.446092 |
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| DOC | 0.368812 |
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Information for Workers | Lightning |
CDC provides lightning information and steps to protect yourself while working outside or engaging in outdoor recreational activities. |
| average | 0.25313 |
| list Skip | 0.72381 |
| United States | 0.42455 |
| page options Skip | 0.942919 |
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| times | 0.241753 |
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| Illnesses | 0.252101 |
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| carbon monoxide poisoning | 0.650553 |
| environmental concerns | 0.425608 |
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| consequences | 0.256428 |
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| animals | 0.237091 |
| family | 0.242511 |
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Despite Progress, Ongoing Efforts Needed to Combat Infections Impacting Hospital Patients | Press Release | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| hospital patients | 0.276051 |
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| CDC Multistate Point-Prevalence | 0.271462 |
| health care-associated infections | 0.657178 |
| National Healthcare Safety | 0.333314 |
| advanced medical care | 0.201295 |
| Healthcare-associated Infection Progress | 0.3393 |
| surgical site infections | 0.489394 |
| CDC Director Tom | 0.273307 |
|
| Services HAI prevention | 0.208453 |
| valid infection information | 0.247192 |
| healthcare-associated infection | 0.555565 |
| healthcare-associated infection tracking | 0.287063 |
| health care quality | 0.207999 |
| bloodstream infections | 0.408508 |
| gastrointestinal infections | 0.403828 |
| healthcare-associated infection laboratories | 0.282646 |
| antibiotic resistant infections | 0.456991 |
| healthcare-associated infection data | 0.290465 |
| urinary tract infections | 0.483346 |
| national healthcare-associated infection | 0.367869 |
| New England Journal | 0.202746 |
| Healthcare Safety Network | 0.327359 |
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Recommendations for Breastfeeding/Infant Feeding in the Context of Ebola |
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| Ebola haemorrhagic fever | 0.437557 |
| Infectious Diseases. | 0.364498 |
| Infection Control | 0.337811 |
| Dowell SF | 0.333582 |
| safe ways | 0.333291 |
| Ebola virus transmission | 0.483364 |
| case-by-case basis | 0.338291 |
| death overall3 | 0.334048 |
| breastfeeding mother | 0.394925 |
| infant | 0.362587 |
| ill mother | 0.349917 |
| ebola virus | 0.904023 |
| Bausch DG | 0.333891 |
| Ebola Virus–Positive Mother | 0.453754 |
| lactating woman | 0.337052 |
| resource-limited settings | 0.333563 |
| Emerg Infect Dis. | 0.358302 |
| Obstetric Services | 0.332207 |
| Peacock G. Live | 0.356259 |
| acceptable substitute | 0.335562 |
| Infant Formula | 0.344929 |
| Jamieson DJ | 0.329939 |
| ebola virus disease | 0.578641 |
| body fluids | 0.338346 |
| best choice | 0.336313 |
|
| Vega M-A | 0.333766 |
| symptoms | 0.311876 |
| EVD | 0.378192 |
| different lactating women | 0.359419 |
| high risk | 0.356235 |
| Epub | 0.314563 |
| Towner JS | 0.333555 |
| Twin Babies | 0.329777 |
| Ebola virus infection | 0.572981 |
| United States | 0.331971 |
| infant care | 0.350191 |
| signs | 0.31188 |
| safe alternatives | 0.36898 |
| close contact | 0.447147 |
| decisions | 0.312471 |
| genetic material | 0.366151 |
| known risk | 0.333827 |
| World Health Organization. | 0.356891 |
| bodily fluids | 0.332069 |
| breast milk | 0.610406 |
| Donor breast milk | 0.382551 |
| et al | 0.396149 |
| breastfeeding status | 0.375286 |
| baby | 0.333346 |
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Notes from the Field: Listeriosis Associated with StoneFruit - United States, 2014 |
Brendan R. Jackson, MD1, Monique Salter, MPH2, Cheryl Tarr, PhD1, Amanda Conrad, MPH1,3, Emily Harvey4, Lisa Steinbock5, Amy Saupe, MPH6, Alida Sorenson, MPH7, Lee Katz, PhD1, Steven Stroika1, Kelly A. Jackson, MPH1, Heather Carleton, PhD1, Zuzana Kucerova, MD, PhD1, David Melka2, Errol Strain, PhD2, Mickey Parish, PhD2, Rajal K. |
| single nucleotide polymorphism | 0.681525 |
| stone fruit consumption | 0.785671 |
| Brendan R. Jackson | 0.765801 |
| human isolates | 0.721666 |
| WGS results | 0.701987 |
| Zuzana Kucerova | 0.651885 |
| pregnant women | 0.703206 |
| fresh stone fruits | 0.703069 |
| Zoonotic Infectious Diseases | 0.67436 |
| foodborne disease surveillance | 0.682342 |
| Listeria Initiative exposure | 0.690843 |
| packing company | 0.658261 |
| Kelly A. Jackson | 0.691478 |
| Amy Saupe | 0.651106 |
| Listeria monocytogenes | 0.695386 |
| stone fruit | 0.953575 |
| stone fruits | 0.839501 |
| organic nectarine consumption | 0.687468 |
| initial recall | 0.669242 |
| L. monocytogenes | 0.829484 |
| automated telephone calls | 0.683217 |
| Monique Salter | 0.650788 |
| PFGE patterns | 0.680228 |
| internal company testing | 0.702303 |
|
| two-enzyme pulsed-field gel | 0.682951 |
| Minnesota patient | 0.656773 |
| United States | 0.650997 |
| human listeriosis | 0.66375 |
| peaches | 0.660177 |
| Drug Administration | 0.687322 |
| South Carolina | 0.734585 |
| David Melka | 0.650427 |
| shopper card data | 0.755617 |
| Listeriosis Associated | 0.682255 |
| Alida Sorenson | 0.652613 |
| ready-to-eat fresh fruit | 0.699678 |
| recall | 0.683468 |
| possible L. monocytogenes | 0.706381 |
| food exposure interviews | 0.680633 |
| local health departments | 0.685979 |
| Massachusetts patient | 0.659512 |
| Illinois patient | 0.654142 |
| higher risk | 0.670791 |
| whole-genome multilocus sequence | 0.679833 |
| Rajal K. Mody | 0.697779 |
| CDC Listeria website | 0.69717 |
| Northampton Health Department | 0.67901 |
| national molecular subtyping | 0.685583 |
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Opioid Overdose Prevention Programs Providing Naloxone toLaypersons - United States, 2014 |
Please note: An erratum has been published for this article. To view the erratum, please click here. |
| opioid drug overdose | 0.423422 |
| number | 0.373936 |
| organizations provided naloxone | 0.410381 |
| reduces overdose deaths | 0.393158 |
| prescription opioid analgesics | 0.392876 |
| family members | 0.374914 |
| heroin overdoses | 0.361109 |
| opioid overdose | 0.498448 |
| naloxone kit provision | 0.372639 |
| teaching laypersons | 0.384571 |
| community-based organizations | 0.365062 |
| persons | 0.404025 |
| health care facilities | 0.39735 |
| opioid antagonist naloxone | 0.420002 |
| local opioid overdose | 0.436609 |
| survey | 0.365841 |
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| opioid overdose prevention | 0.489663 |
| overdose prevention services | 0.412514 |
| intranasal naloxone | 0.402471 |
| local sites | 0.40836 |
| overdose reversals | 0.612835 |
| potential overdose bystanders | 0.39278 |
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| substance use treatment | 0.373813 |
| Veterans Administration health | 0.39316 |
| naloxone distribution programs | 0.372229 |
| international health organizations | 0.366045 |
| naloxone vials | 0.397766 |
| overdose death rates | 0.392554 |
| opioid overdose training | 0.440588 |
| Opioid Safety | 0.399486 |
| Law enforcement organizations | 0.370198 |
| health departments | 0.379993 |
| health care | 0.400092 |
| public health | 0.370784 |
| community-based naloxone program | 0.370983 |
| drug overdose deaths | 0.491517 |
| health care systems | 0.394257 |
| Harm Reduction Coalition | 0.430891 |
| injectable naloxone | 0.366412 |
| statewide naloxone programs | 0.380239 |
| service providers | 0.411355 |
| organizations | 0.58741 |
| Administration health care | 0.393005 |
| naloxone kits | 0.943473 |
| laypersons | 0.602237 |
| opioid overdose mortality | 0.440133 |
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Suicide Rates by Occupational Group - 17 States, 2012 |MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| Violent Death Reporting | 0.657646 |
| national Standard Occupational | 0.482243 |
| data | 0.485631 |
| Suicide prevention activities | 0.665956 |
| Census occupation code | 0.533288 |
| mental health | 0.522145 |
| major occupational groups | 0.489718 |
| library occupational group | 0.49162 |
| highest suicide rates | 0.649563 |
| suicide deaths | 0.551117 |
| SOC codes | 0.548897 |
| highest rate | 0.534167 |
| mental health services | 0.505759 |
| potential suicide prevention | 0.542442 |
| Workplace Suicide Prevention | 0.53717 |
| suicide | 0.899123 |
| usual occupation | 0.491576 |
| suicide prevention strategies | 0.678592 |
| forestry occupational group | 0.507441 |
| SOC major groups | 0.453005 |
| different occupational groups | 0.492878 |
| National Suicide Prevention | 0.549431 |
| persons | 0.52483 |
| protective service occupations | 0.62821 |
| suicides | 0.486777 |
|
| Census occupation codes | 0.485274 |
| NVDRS Occupation Title | 0.511021 |
| suicide prevention | 0.88783 |
| occupation text fields | 0.580934 |
| United States | 0.492932 |
| occupation fields | 0.450024 |
| service occupational group | 0.511697 |
| higher suicide risk | 0.526578 |
| SOC code | 0.483535 |
| Current Population Survey | 0.488344 |
| U.S. Census occupation | 0.587533 |
| suicide prevention training | 0.542317 |
| occupation codes | 0.541997 |
| law enforcement | 0.481319 |
| occupational group | 0.907332 |
| Occupation Computerized Coding | 0.492224 |
| suicide prevention efforts | 0.574121 |
| occupational groups | 0.974797 |
| higher suicide rates | 0.629476 |
| Evidence-based suicide prevention | 0.536638 |
| occupation classification | 0.463896 |
| SOC occupational groups | 0.525829 |
| suicide decedent | 0.526106 |
| National Violent Death | 0.652397 |
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