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Centers for Disease Control and Prevention |
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American Indians, Alaska Natives, and the Flu | CDC Features |
Vaccination against flu is especially important for American Indians and Alaska Natives, who have been found to be at higher risk for complications from the flu. Protect yourself and your community by getting a flu vaccine. |
| high rates | 0.367939 |
| influenza infection | 0.389983 |
| highest safety standards | 0.419881 |
| flu vaccine—shot | 0.560585 |
| flu vaccines | 0.631404 |
| nasal spray—does | 0.369162 |
| mild side effects | 0.36545 |
| season | 0.324557 |
| health care facility | 0.498622 |
| U.S. Food | 0.364635 |
| stuffy nose | 0.368912 |
| general U.S. population | 0.526827 |
| reduced access | 0.373031 |
| grocery stores | 0.3629 |
| Native elders | 0.371374 |
| American Indians | 0.592356 |
| economic factors | 0.370844 |
| high risk | 0.43768 |
| severe complications | 0.382257 |
| influenza | 0.404555 |
| Experts | 0.312961 |
| death | 0.312482 |
| chronic health conditions | 0.425013 |
| Vaccination | 0.354771 |
| Drug Administration | 0.366553 |
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| flu vaccine | 0.758244 |
| fewer flu illnesses | 0.63116 |
| immunity | 0.312351 |
| flu complications | 0.603469 |
| certain people | 0.373871 |
| flu-related hospitalizations | 0.379968 |
| pneumonia | 0.313865 |
| certain health conditions | 0.537822 |
| causes | 0.312487 |
| sore throat | 0.370273 |
| community-based immunization clinics | 0.420387 |
| spray flu vaccine | 0.622902 |
| higher risk | 0.376018 |
| Indian Country | 0.36563 |
| greater chance | 0.370604 |
| Alaska Natives | 0.608186 |
| sore arm | 0.369408 |
| people | 0.378314 |
| flu | 0.953727 |
| flu shot | 0.556693 |
| local health care | 0.498665 |
| influenza viruses | 0.379824 |
| regular doctor | 0.365961 |
| ones | 0.325566 |
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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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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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Centers for Disease Control and Prevention |
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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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Centers for Disease Control and Prevention |
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Science Clips - Monday, December 03, 2012 |
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| individual participant meta-analysis | 0.952357 |
| Saf Res. | 0.567109 |
| menopause | 0.240321 |
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| breast cancer risk | 0.82941 |
| Menarche | 0.337582 |
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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 |
|
| 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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Centers for Disease Control and Prevention |
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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 |
|
| 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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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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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 |
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| 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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