| 4920 |
Centers for Disease Control and Prevention |
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en |
Klebsiella pneumoniae in Healthcare Settings - HAI |
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| Klebsiella | 0.953813 |
| healthcare personnel | 0.267481 |
| Klebsiella infection | 0.617271 |
| Gram-negative infections | 0.248443 |
| Klebsiella bacteria | 0.832962 |
| strict cleaning procedures | 0.256015 |
| bloodstream infection | 0.231836 |
| certain antibiotics | 0.26437 |
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| healthcare-associated infections | 0.270319 |
| infection control precautions | 0.301892 |
| Klebsiella species | 0.469741 |
| human stool | 0.200371 |
| Gram-negative bacteria | 0.302375 |
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| healthcare provider instructs | 0.257914 |
| Klebsiella infections | 0.799896 |
| carbapenem antibiotics | 0.250639 |
| surgical site infections | 0.351489 |
| patients | 0.271984 |
| KPC-producing bacteria | 0.256695 |
| person-to-person contact | 0.279402 |
| bloodstream infections | 0.279872 |
| breathing machines | 0.277963 |
| healthcare provider | 0.40027 |
| healthcare settings | 0.415784 |
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| antibiotics | 0.37972 |
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| 10360 |
Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Native American Race, Use of the Indian Health Service, and Breast and Lung Cancer Survival in Florida, 1996-2007 - CDC |
We evaluated associations of race, primary payer at diagnosis, and survival among patients diagnosed in Florida with lung cancer (n = 148,140) and breast cancer (n = 111,795), from 1996 through 2007. In multivariate models adjusted for comorbidities, tumor characteristics, and treatment factors, breast cancer survival was worse for Native American women than for white women (hazard ratio [HR], 1.52; 95% confidence interval [CI], 1.05–2.20) and for women using the Indian Health Service than for women using private insurance (HR, 1.71; 95% CI, 1.33–2.19). No survival association was found for Native American compared with white lung cancer patients or those using the Indian Health Service versus private insurance in fully adjusted models. Additional resources are needed to improve surveillance strategies and to reduce cancer burden in these populations. |
| Native American community | 0.503486 |
| fully adjusted model | 0.536341 |
| Florida Cancer Data | 0.514869 |
| IHS regions | 0.50173 |
| female breast cancer | 0.625854 |
| IHS users | 0.516733 |
| Sylvester Comprehensive Cancer | 0.524523 |
| primary payer | 0.603861 |
| white lung cancer | 0.539826 |
| Native American groups | 0.50207 |
| cancer care costs | 0.497546 |
| lung cancer | 0.797305 |
| Native American women | 0.528642 |
| IHS providers | 0.513036 |
| worse survival | 0.527125 |
| IHS | 0.70128 |
| fully adjusted models | 0.558946 |
| Native American race | 0.806219 |
| Miami Miller School | 0.547982 |
| private insurance | 0.675906 |
| cancer burden | 0.499839 |
| Incident lung cancer | 0.525536 |
| Florida population-based cancer | 0.51316 |
| Native American population | 0.503592 |
|
| health care | 0.51473 |
| Native American | 0.825226 |
| lung cancer patients | 0.715716 |
| lung cancer survival | 0.557172 |
| cancer care | 0.512205 |
| current cancer care | 0.499964 |
| breast cancer patients | 0.638393 |
| breast cancer survival | 0.566085 |
| self-reported Native American | 0.505736 |
| IHS services | 0.516309 |
| IHS vs | 0.511716 |
| Native American communities | 0.501797 |
| breast cancer | 0.781632 |
| neighborhood area poverty | 0.552398 |
| Comprehensive Cancer Center | 0.525058 |
| Public Health Sciences | 0.513129 |
| Indian Health Service | 0.652703 |
| breast cancer mortality | 0.508556 |
| Native Americans patients | 0.525646 |
| high-quality cancer care | 0.497257 |
| area poverty levels | 0.552972 |
| IHS health services | 0.574466 |
| univariate model | 0.503455 |
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| 10586 |
Centers for Disease Control and Prevention |
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Minority Health Home Page |
The Office of Minority Health and Health Equity (OMHHE) Mission: Advance health equity and women’s health issues across the nation through CDC’s science and programs, and increase CDC’s capacity to leverage its diverse workforce and engage stakeholders toward this end. |
| Nation | 0.333393 |
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| list Skip | 0.760029 |
| health indicators | 0.499822 |
| death | 0.331167 |
| disproportionate burden | 0.569968 |
| United States | 0.502665 |
| minorities | 0.353624 |
| page options Skip | 0.942389 |
|
| Americans | 0.341007 |
| percent | 0.354221 |
| navigation Skip | 0.767184 |
| infant mortality | 0.532337 |
| population | 0.339503 |
| life expectancy | 0.523278 |
| century | 0.33297 |
| preventable disease | 0.52216 |
| ethnic minority group | 0.704553 |
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| 11193 |
Centers for Disease Control and Prevention |
Html |
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Salmonella Infections Linked to Live Poultry | May 2014 |Salmonella |
Multistate Outbreak of Human Salmonella Infantis and Salmonella Newport Infections Linked to Live Poultry in Backyard Flocks |
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| 11276 |
Centers for Disease Control and Prevention |
Html |
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Young Worker Safety and Health: Teacher Resources - NIOSH Workplace Safety and Health Topic |
Young Worker Safety and Health: Teacher Resources |
| Decibels (DVD) | 0.652271 |
| Safety Curriculum Updated | 0.693587 |
| hazard recognition | 0.579614 |
| electrical trades | 0.651965 |
| EHS professionals | 0.574364 |
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| young workers | 0.581365 |
| group training | 0.583534 |
| hearing loss | 0.572369 |
| teen worker rights | 0.648402 |
| Puerto Rico | 0.578597 |
| harmful exposures | 0.578389 |
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| Work Game | 0.578828 |
| workplace safety | 0.602565 |
| new Youth | 0.583282 |
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| Research | 0.527939 |
| young people | 0.658325 |
| NIOSH Publication No. | 0.727993 |
| hazards | 0.603081 |
| zombie | 0.529108 |
| U.S. Virgin Islands | 0.649122 |
| appropriate precautionary actions | 0.642409 |
| easy-to-read source | 0.579111 |
| post-secondary electrical trades | 0.648634 |
| Washington D.C. | 0.583267 |
| Chemistry Laboratory Safety | 0.662496 |
| Electrical Safety | 0.602479 |
| career-technical education | 0.575575 |
| occupational safety | 0.591108 |
| multilayered introduction | 0.580153 |
| high school students | 0.653017 |
| Educator Resources | 0.572949 |
| Electrical Trades Student | 0.647105 |
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| group settings | 0.656225 |
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| 12245 |
Centers for Disease Control and Prevention |
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en |
Disease Detective: Nicole - 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. |
| training course | 0.382687 |
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| Ministry | 0.23117 |
| craft | 0.233332 |
| international partners | 0.380631 |
| arrangement | 0.231168 |
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| six-year old son | 0.534774 |
| Health Promotion team | 0.566003 |
| outbreak | 0.240836 |
| CDC’s Freetown | 0.462002 |
| eye opening | 0.408149 |
| rollout | 0.24135 |
| entire family | 0.385519 |
| work | 0.266435 |
| epidemic | 0.239753 |
| Kroo Bay Slum | 0.868382 |
| capital city | 0.399426 |
| lack | 0.23185 |
| life expectancy | 0.424846 |
| Ebola-prevention messages | 0.396457 |
| ground | 0.233671 |
| Sierra Leonean journalists | 0.660946 |
| neighborhood | 0.233556 |
| tough decision | 0.371402 |
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| educational messages | 0.382456 |
| basic sanitation | 0.413684 |
| community leaders | 0.379047 |
| 31-year-old CDC communications | 0.671308 |
| Sierra Leone | 0.929573 |
| general population | 0.391532 |
| virus | 0.265773 |
| radio media outlets | 0.535577 |
| Nicole | 0.680512 |
| health promotors | 0.387528 |
| direct impact | 0.385926 |
| CDC employees | 0.43498 |
| local journalists | 0.572637 |
| Ebola Big Idea | 0.666598 |
| National Ebola Response | 0.669205 |
| families | 0.232951 |
| medical care | 0.41451 |
| people | 0.270302 |
| ambulances | 0.239138 |
| help | 0.232322 |
| current deployment | 0.379507 |
| regular access | 0.393357 |
| visit | 0.262687 |
| separate room | 0.385156 |
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| 12916 |
Centers for Disease Control and Prevention |
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Concussion Videos - Heather O'Reilly's Story (Soccer) |
heather_personal_story-H.264 800Kbps |
| heather_personal_story-H.264 800Kbps | 0.789602 |
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Centers for Disease Control and Prevention |
Html |
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Family History and Other Characteristics That Increase Risk for Heart Disease |
A family history of heart disease increases your risk. Having other risk factors can put you at even greater risk. |
| play | 0.417733 |
| Health Genomics web | 0.608158 |
| unhealthy diet | 0.530399 |
| smoking cigarettes | 0.503902 |
| CDC’s Office | 0.510198 |
| related conditions | 0.506438 |
| health conditions | 0.513532 |
| Genetic factors | 0.507974 |
| generation | 0.417923 |
| genes | 0.445001 |
| behaviors | 0.420865 |
| heredity | 0.46147 |
| lifestyles | 0.421346 |
| American Indians | 0.495654 |
| Public Health Genomics | 0.761003 |
| Asian Americans | 0.49473 |
| Family members share | 0.631945 |
| women | 0.428334 |
| Age. Your risk | 0.503152 |
| role | 0.417722 |
| ethnicity | 0.480989 |
| death | 0.428462 |
| Family Health Portrait | 0.608812 |
| United States | 0.497954 |
| family history information | 0.60085 |
|
| cause | 0.429449 |
| unhealthy lifestyle choices | 0.615912 |
| genetics | 0.417015 |
| heart disease | 0.952527 |
| non-Hispanic blacks | 0.52933 |
| potential factors | 0.506031 |
| useful tool | 0.500135 |
| non-Hispanic whites | 0.526203 |
| federal agencies | 0.499668 |
| Sex. Heart disease | 0.6159 |
| process | 0.417884 |
| race | 0.447414 |
| family pass traits | 0.615484 |
| heart disease share | 0.640423 |
| people | 0.433748 |
| heart disease increases | 0.620359 |
| Pacific Islanders | 0.500502 |
| Surgeon General | 0.498872 |
| site | 0.416951 |
| Family health history | 0.742217 |
| Web-based tool | 0.498207 |
| high blood pressure | 0.598585 |
| health risks | 0.512117 |
| common environments | 0.505175 |
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| 14012 |
Centers for Disease Control and Prevention |
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Tuberculosis Contact Investigations - United States,2003-2012 |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). Often called 'the Voice of CDC,' the MMWR series is the agency's primary vehicle for scientific publication of timely, reliable, authoritative, accurate, objective, and useful public health information and recommendations. MMWR readership predominately consists of physicians, nurses, public health practitioners, epidemiologists and other scientists, researchers, educators, and laboratorians. |
| contagious TB patients | 0.361181 |
| treatment | 0.450531 |
| latent TB infection | 0.362362 |
| Puerto Rico | 0.503762 |
| Kai H. Young | 0.258557 |
| potential TB cases | 0.326781 |
| smear-positive index patient | 0.260737 |
| United States | 0.220668 |
| index TB cases | 0.342354 |
| health care provider | 0.321341 |
| TB elimination | 0.334301 |
| culture-positive index patient | 0.259419 |
| smear-positive index patients | 0.348176 |
| smear-positive TB patient | 0.333845 |
| public health authorities | 0.253619 |
| contact investigations | 0.656038 |
| number | 0.207765 |
| TB contact investigations | 0.604317 |
| index patient | 0.521022 |
|
| culture-positive pulmonary TB | 0.343733 |
| health departments | 0.218827 |
| index patients | 0.61104 |
| sputum smear-positive index | 0.303078 |
| smear-positive TB patients | 0.337858 |
| public health | 0.278912 |
| 50 states | 0.264708 |
| index TB patient | 0.350324 |
| TB Prevention | 0.274814 |
| culture-positive index patients | 0.349106 |
| TB cases | 0.861261 |
| infected contacts | 0.260263 |
| LTBI | 0.43842 |
| TB | 0.94044 |
| M. tuberculosis | 0.235502 |
| TB control | 0.320811 |
| local TB control | 0.304861 |
| global TB control | 0.317465 |
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| 16446 |
Centers for Disease Control and Prevention |
Html |
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Increases in Drug and Opioid-Involved Overdose Deaths - United States, 2010-2015 |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| specific drug | 0.286821 |
| harm reduction approaches | 0.230853 |
| illicit opioids | 0.210009 |
| deaths.†Drug overdose | 0.206652 |
| opioid subcategories | 0.202969 |
| U.S. opioid epidemic | 0.278742 |
| age-adjusted death rates | 0.270365 |
| commonly prescribed opioids | 0.214303 |
| South Carolina | 0.20155 |
| states | 0.330766 |
| cause-of-death codes | 0.220032 |
| percentage points | 0.202319 |
| heroin death rates | 0.326373 |
| overdose death rates | 0.269049 |
| synthetic opioids | 0.595594 |
| Prescribing Opioids | 0.213799 |
| disorder treatment capacity | 0.232735 |
| law enforcement strategies | 0.230229 |
| natural/semi-synthetic opioid death | 0.214891 |
| overall drug overdose | 0.205337 |
| joinpoint regression.¶ Opioid | 0.201436 |
|
| prescription opioids | 0.223801 |
| natural/semisynthetic opioids | 0.268868 |
| heroin deaths | 0.23659 |
| law enforcement | 0.250358 |
| natural/semisynthetic opioid deaths | 0.269717 |
| specific drug differing | 0.233917 |
| overdose death rate | 0.203643 |
| drug overdose deaths | 0.957639 |
| opioid deaths | 0.290846 |
| drug overdose death | 0.459399 |
| methadone death rates | 0.315366 |
| methadone deaths | 0.230934 |
| opioid death rates | 0.389762 |
| National Vital Statistics | 0.273498 |
| natural/semisynthetic opioid death | 0.339992 |
| fewer deaths | 0.201421 |
| opioid use disorder | 0.210522 |
| overdose death certificates | 0.355323 |
| illicit opioid supply | 0.294476 |
| death rates | 0.847288 |
| opioid overdose death | 0.281969 |
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