| 5535 |
Centers for Disease Control and Prevention |
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Hafnium - NIOSH Pocket Guide to Chemical Hazards |
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| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
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| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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| 6213 |
Centers for Disease Control and Prevention |
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HHS funds to bolster public health emergency preparedness nationwide - Press Release: August 15, 2011 |
HHS funds to bolster public health emergency preparedness nationwide |
| emergency public information | 0.259328 |
| Ali S. Khan | 0.234417 |
| Pacific island areas | 0.25551 |
| laboratory testing capacities | 0.238913 |
| emergency operations coordination | 0.232024 |
| health preparedness capabilities | 0.461152 |
| Strategic National Stockpile | 0.236893 |
| PHEP cooperative agreement | 0.49384 |
| one-year pilot program | 0.226005 |
| community preparedness | 0.314788 |
| public health threats | 0.293467 |
| health security | 0.211235 |
| Hospital Preparedness Program | 0.356845 |
| national public health | 0.292481 |
| public health surveillance | 0.283568 |
| recent large-scale incidents | 0.224057 |
| higher population areas | 0.222002 |
| health departments | 0.320732 |
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| terrorist attacks | 0.25499 |
| influenza pandemic response | 0.233481 |
| local public health | 0.391521 |
| all-hazards emergency preparedness | 0.431732 |
| human services | 0.245625 |
| territorial health departments | 0.292169 |
| local medical preparedness | 0.373532 |
| u.s. department | 0.243598 |
| health care facilities | 0.251613 |
| medical countermeasure dispensing | 0.238377 |
| mental/behavioral risk assessments | 0.220711 |
| Health Emergency Preparedness | 0.46662 |
| recent state preparedness | 0.395168 |
| local emergency response. | 0.237128 |
| public health preparedness | 0.977951 |
| public health departments | 0.305105 |
| public health laboratory | 0.286759 |
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| 7339 |
Centers for Disease Control and Prevention |
Html |
en |
Situation Summary on Influenza A (H3N2) Variant Viruses ("H3N2v") | Swine/Variant Influenza (Flu) |
Situation Summary on Influenza A (H3N2) Variant Viruses (“H3N2v”) - CDC |
| variant influenza viruses | 0.851548 |
| swine industry | 0.201646 |
| United States | 0.329139 |
| case count tables | 0.293405 |
| Swine influenza | 0.311935 |
| H3N2v cases | 0.21339 |
| case count | 0.33386 |
| H1N1 pandemic virus | 0.424557 |
| infected pigs | 0.220657 |
| H1N2v viruses | 0.328404 |
| West Virginia | 0.350415 |
| pigs | 0.241963 |
| Swine flu viruses | 0.527342 |
| H3N2v infection | 0.69321 |
| variant viruses | 0.663121 |
| health care workers | 0.293769 |
| U.S. pigs | 0.216508 |
|
| sporadic infections | 0.396776 |
| cases | 0.232966 |
| H3N2 variant viruses | 0.593746 |
| seasonal influenza | 0.253319 |
| seasonal flu | 0.265957 |
| variant viruses. | 0.219628 |
| people | 0.566052 |
| Detected U.S. Human | 0.395091 |
| infected pig coughs | 0.323534 |
| certain chronic conditions | 0.260649 |
| human infections | 0.74956 |
| influenza viruses | 0.957201 |
| high risk | 0.369836 |
| localized outbreaks | 0.335762 |
| Limited human-to-human spread | 0.303483 |
| Limited serologic studies | 0.276613 |
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| 7488 |
Centers for Disease Control and Prevention |
Html |
en |
Veterans Health Activities - Gulf War Studies - Birth Defects |
CDC's National Center for Environmental Health (NCEH) has taken the lead for HHS in addressing the health concerns of veterans of the Vietnam War and the Gulf War, and NCEH is working with the Departments of Defense and Veterans Affairs to protect the health of our future military forces. |
| Gulf War veterans | 0.901558 |
| Goldenhar syndrome | 0.586491 |
| health problems | 0.212563 |
| nondeployed veterans | 0.275383 |
| National Guard Units | 0.228102 |
| Veterans Affairs | 0.226647 |
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| CDC reviewed birth | 0.216368 |
| Persian Gulf War | 0.273589 |
| low birth-weight babies | 0.223162 |
| birth defects | 0.230048 |
| Health Research Center | 0.202935 |
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| 11400 |
Centers for Disease Control and Prevention |
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Noise and Hearing Loss Prevention - Tools- NIOSH Workplace Safety and Health Topic |
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| occupational hearing loss | 0.581622 |
| American Speech-Language-Hearing Association | 0.306323 |
| 10-year national objectives | 0.246765 |
| North America | 0.291301 |
| environmental health | 0.233734 |
| New York City | 0.228136 |
| Safety Fund | 0.249499 |
| American work force | 0.241447 |
| national non-profit organization | 0.246224 |
| professional association | 0.24417 |
| largest international associations | 0.250096 |
| Hearing Conservation Association | 0.531538 |
| Industrial Hygiene Association | 0.422207 |
| Military Audiology Association | 0.388107 |
| Health Cochrane Reviews | 0.335741 |
| Noise Control Engineering | 0.35447 |
| MSHA Noise Rule | 0.260118 |
| nonprofit hearing information | 0.512495 |
| hearing health care | 0.535219 |
| regular hearing screenings | 0.501056 |
| Hearing Loss Association | 0.585314 |
| premier hearing center | 0.496908 |
| Occupational Health Cochrane | 0.354292 |
| non-profit professional organization | 0.252145 |
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| noise-induced hearing loss | 0.64717 |
| hearing loss | 0.980766 |
| communication disorders | 0.327156 |
| Association (USA) | 0.28516 |
| NIDCD Fact Sheet | 0.239812 |
| United States | 0.243278 |
| hearing care services | 0.560541 |
| LIUNA signatory employers | 0.249132 |
| Occupational Safety | 0.240599 |
| vital tinnitus research | 0.265534 |
| tinnitus management tools | 0.249394 |
| research planning documents | 0.239066 |
| hearing conservation program | 0.52757 |
| occupational hearing conservation | 0.799681 |
| Conservation (CAOHC) | 0.539098 |
| Health Quick Test | 0.265047 |
| public awareness | 0.251696 |
| international scientific society | 0.256368 |
| Healthy People | 0.228379 |
| Association (AIHA) | 0.428752 |
| Health Administration | 0.338501 |
| American Industrial Hygiene | 0.390642 |
| Noise Pollution Clearinghouse | 0.323942 |
| state-of-the-art hearing testing | 0.48927 |
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| 11427 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease ' Collaborative Depression Care Among Latino Patients in Diabetes Disease Management, Los Angeles, 2011"2013 - CDC |
The prevalence of comorbid diabetes and depression is high, especially in low-income Hispanic or Latino patients. The complex mix of factors in safety-net care systems impedes the adoption of evidence-based collaborative depression care and results in persistent disparities in depression outcomes. The Diabetes–Depression Care-Management Adoption Trial examined whether the collaborative depression care model is an effective approach in safety-net clinics to improve clinical care outcomes of depression and diabetes. |
| supportive care approach | 0.481558 |
| evidence-based diabetes care | 0.543186 |
| supportive care program | 0.48999 |
| depression monitoring | 0.47816 |
| specific diabetes outcomes | 0.480088 |
| supportive care group | 0.782255 |
| Sheehan Disability Scale | 0.490308 |
| disease management program | 0.759645 |
| diabetes disease management | 0.681059 |
| baseline characteristics | 0.481189 |
| diabetes care measures | 0.58722 |
| depression care outcomes | 0.616442 |
| depression care management | 0.626748 |
| patients | 0.618088 |
| comorbid depression | 0.480351 |
| Supportive care programs | 0.477075 |
| evidence-based depression care | 0.621773 |
| primary care settings | 0.490939 |
| care team | 0.480159 |
| severe depression | 0.486835 |
| DHS depression care | 0.57938 |
| supportive care | 0.937154 |
| care depression treatment | 0.586453 |
| usual care group | 0.613494 |
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| worse depression | 0.487963 |
| study | 0.522397 |
| evidence-based collaborative depression | 0.59354 |
| propensity scores | 0.525329 |
| primary care clinics | 0.510729 |
| diabetes care | 0.603091 |
| diabetes patients | 0.517074 |
| depression outcomes | 0.609548 |
| depression remission | 0.528687 |
| safety-net care systems | 0.538852 |
| adaptive depression care | 0.561704 |
| safety-net primary care | 0.54502 |
| baseline PHQ-9 depression | 0.504057 |
| depression management support | 0.48865 |
| supportive care study | 0.512066 |
| diabetes care management | 0.597682 |
| depression screening | 0.476651 |
| higher scores | 0.491485 |
| protocol-driven depression care | 0.570662 |
| DHS primary care | 0.517299 |
| collaborative depression care | 0.914831 |
| diabetes supportive care | 0.567622 |
| primary care | 0.547506 |
| clinical care outcomes | 0.515759 |
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| 11754 |
Centers for Disease Control and Prevention |
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Disease Detective: Ruth C. - CDC Responds to the 2014 Ebola Outbreak |
CDC works 24/7 saving lives, protecting people from health threats, and saving money to have a more secure nation. A US federal agency, CDC helps make the healthy choice the easy choice by putting science and prevention into action. CDC works to help people live longer, healthier and more productive lives. |
| traveler | 0.247664 |
| Ministry | 0.245414 |
| populated cities | 0.477414 |
| questions | 0.248266 |
| Lagos | 0.334529 |
| kiss | 0.253642 |
| thanks | 0.256981 |
| task Ruth | 0.52537 |
| simple hug | 0.532424 |
| things | 0.247734 |
| enormous population | 0.451417 |
| circumstances | 0.248468 |
| Global Health | 0.50142 |
| Tanzania | 0.253269 |
| Ghana | 0.253875 |
| densely populated country | 0.7263 |
| various public health | 0.709008 |
| Ruth | 0.609094 |
| CDC assignment | 0.484805 |
| field | 0.248088 |
| career choice | 0.49606 |
| Senegal | 0.260703 |
| specialist | 0.251537 |
| South Africa | 0.65789 |
| recent communications | 0.463179 |
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| communications issues | 0.462969 |
| job | 0.296287 |
| paycheck | 0.268441 |
| Ethiopia | 0.255922 |
| clear messages | 0.44026 |
| title | 0.252296 |
| Ebola cases | 0.830376 |
| life | 0.245526 |
| stigma issues | 0.457971 |
| Ebola communications | 0.6185 |
| world | 0.286276 |
| deeper understanding | 0.464255 |
| Nigeria | 0.906537 |
| public health | 0.859026 |
| recent Ebola cases | 0.819254 |
| participants | 0.245412 |
| foreign governments | 0.481097 |
| Kenya | 0.249213 |
| senior health communications | 0.743935 |
| Liberia | 0.262151 |
| personal way | 0.470423 |
| West Africa | 0.668978 |
| information | 0.248151 |
| decades | 0.245925 |
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Centers for Disease Control and Prevention |
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Announcements: Get Smart About Antibiotics Week - November17-23, 2014 |
Each year, an estimated 2 million persons in the United States are infected with antibiotic-resistant bacteria, and approximately 23,000 die as a result (1). The rise of antibiotic resistance represents a serious threat to human and animal health, national security, and economies worldwide. |
| annual observance | 0.578302 |
| CDC | 0.569845 |
| endorsement | 0.531266 |
| Human Services | 0.620301 |
| National Strategy | 0.578485 |
| steady pipeline | 0.576357 |
| MMWR HTML versions | 0.627347 |
| U.S. Department | 0.620431 |
| state-based programs | 0.578162 |
| innovative diagnostic tests | 0.637832 |
| electronic PDF version | 0.621712 |
| resistant bacterial strains | 0.666188 |
| resistant bacteria | 0.699814 |
| Contact GPO | 0.581658 |
| Smart About Antibiotics | 0.67624 |
| commercial sources | 0.570352 |
| current prices | 0.56799 |
| health care facilities | 0.63681 |
| original paper copy | 0.618512 |
| resistant infections | 0.598728 |
| executive order | 0.576962 |
| United States | 0.58337 |
| original MMWR paper | 0.624899 |
| U.S. Government Printing | 0.621634 |
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| national surveillance efforts | 0.635736 |
| antibiotic resistance prevention | 0.77398 |
| MMWR readers | 0.573009 |
| character translation | 0.566923 |
| key component | 0.572616 |
| antibiotic resistance | 0.942406 |
| antibiotic resistance observances | 0.766043 |
| Combat Antibiotic-Resistant Bacteria.* | 0.656732 |
| format errors | 0.566939 |
| national security | 0.584102 |
| typeset documents | 0.570315 |
| trade names | 0.570397 |
| White House | 0.577025 |
| antibiotic stewardship | 0.661949 |
| official text | 0.566121 |
| core strengths | 0.575849 |
| international collaboration | 0.572848 |
| non-CDC sites | 0.569495 |
| antibiotic research | 0.667328 |
| effective antibiotics | 0.616407 |
| animal health | 0.586636 |
| important factor | 0.576097 |
| threat | 0.546805 |
| electronic conversions | 0.565487 |
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Centers for Disease Control and Prevention |
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Prescription Opioid Overdose Data |
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| http://dx.doi. org/10.1111/j.1360-0443.2010.03052 | 0.272262 |
| prescription opioid overdose | 0.680828 |
| Wide-ranging online data | 0.340208 |
| potential dangers | 0.280181 |
| prescription opioids.1,2 | 0.353812 |
| Risk factors | 0.267807 |
| cause-of-death codes | 0.349856 |
| direct method | 0.351322 |
| Disease Control | 0.271175 |
| Statistics Cooperative Program | 0.329272 |
| CDC WONDER Online | 0.328556 |
| overdose deaths | 0.920627 |
| prescription opioids | 0.533701 |
| Hoffman SN | 0.273495 |
| Drug overdose deaths | 0.836495 |
| National Center | 0.413954 |
| NCHS data brief | 0.342022 |
| Boscarino JA | 0.273887 |
| opioid use disorder | 0.369258 |
| Health Statistics | 0.333689 |
| International Classification | 0.354386 |
| standard population | 0.348469 |
| Revision | 0.228861 |
| opioid overdose deaths | 0.6172 |
|
| nearly half | 0.281716 |
| United States | 0.431069 |
| Substance Abuse | 0.269663 |
| textual cause-of-death data | 0.3341 |
| 884-94. doi | 0.274105 |
| U.S. | 0.227271 |
| Health Statistics. | 0.275583 |
| Death Files | 0.274761 |
| drug poisoning Ossiander | 0.336499 |
| National Survey | 0.274053 |
| Multiple Cause | 0.321536 |
| Paulozzi LJ | 0.276397 |
| semi-synthetic opioids | 0.425652 |
| people | 0.227247 |
| census region | 0.356843 |
| drug dependence | 0.278876 |
| prescription drugs.3 | 0.354431 |
| Mental Health Services | 0.33662 |
| vital statistics jurisdictions | 0.326744 |
| Frenk SM | 0.280924 |
| opioid therapy | 0.3497 |
| common drugs | 0.283796 |
| et al | 0.26975 |
| Porter KS | 0.271058 |
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| 16453 |
Centers for Disease Control and Prevention |
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CDC awards nearly $184 million to continue the fight against Zika |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| Vector-Borne Disease Regional | 0.502947 |
| CDC | 0.773923 |
| Response Zika Activities | 0.594456 |
| Zika infection | 0.537943 |
| ST&R Trust | 0.489018 |
| Public Health Emergency | 0.525043 |
| mosquito control activities | 0.515528 |
| Puerto Rico Science | 0.476672 |
| surge laboratory capacity | 0.517122 |
| public health departments | 0.511425 |
| possible Zika virus | 0.56744 |
| pregnant women | 0.625408 |
| significant regional differences | 0.471977 |
| Disease Control | 0.432137 |
| following Zika efforts | 0.570293 |
| Texas Medical Branch | 0.478872 |
| previous Zika funding | 0.583483 |
| health care providers | 0.518475 |
| laboratory capacity | 0.705259 |
| CDC Director Tom | 0.652647 |
| public health officials | 0.521366 |
| Zika Pregnancy Registry | 0.571935 |
| severe brain abnormalities | 0.467891 |
| US-Mexico border states | 0.511611 |
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| disease transmission dynamics | 0.471732 |
| Puerto Rico | 0.53096 |
| infected Aedes species | 0.501457 |
| Zika outbreaks | 0.494048 |
| United States | 0.481514 |
| Zika infections | 0.488379 |
| adverse health outcomes | 0.541604 |
| CDC awards | 0.537564 |
| Zika Prevention Kits | 0.577817 |
| Zika Birth Defects | 0.566615 |
| Zika Response | 0.513744 |
| Zika Epidemiology | 0.48528 |
| Zika virus infection | 0.912696 |
| effective mosquito control | 0.537513 |
| Zika | 0.970839 |
| vector control unit | 0.602098 |
| CDC funding | 0.592915 |
| supplemental funds | 0.430355 |
| Zika supplemental funding | 0.914041 |
| emergency response teams | 0.507693 |
| local jurisdictions | 0.525564 |
| local public health | 0.856684 |
| Preparedness Appropriations Act | 0.528576 |
| Laboratory Capacity Activities | 0.517206 |
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