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Overview of a Pandemic - Impact of 2009 H1N1 |
null |
| non-pregnant hospitalized adults | 0.827194 |
| *Excludes hypertension | 0.632592 |
| e9694. doi | 0.619759 |
| true impact | 0.625646 |
| Prevalence | 0.44212 |
| non-pregnant adults | 0.780333 |
| Hospitalized H1N1 patients | 0.849374 |
| obese | 0.46978 |
| pandemic influenza | 0.733028 |
| H1N1 virus | 0.681137 |
| overseas territories | 0.625532 |
| Disproportionate number | 0.631153 |
| reference purposes | 0.644321 |
| larger sample | 0.59811 |
| Section 508-accessible version | 0.823711 |
| height | 0.439628 |
| website | 0.481218 |
| World Health Organization | 0.814186 |
| cases | 0.468406 |
| hospitalization | 0.443968 |
| CDC Seasonal Flu | 0.874215 |
|
| chronic medical conditions | 0.763677 |
| BMI calculation | 0.646523 |
| H1N1 infection | 0.622098 |
| Source O Morgan | 0.604676 |
| PLoS | 0.453438 |
| Bramley | 0.447798 |
| Overview | 0.43843 |
| countries | 0.438029 |
| regular human flu | 0.910905 |
| Novel H1N1 Deaths | 0.849747 |
| Morgan OW | 0.616078 |
| English language content | 0.859708 |
| weight information | 0.610397 |
| Additional studies | 0.599398 |
| stand-alone Web document | 0.829064 |
| H1N1 pandemic | 0.717997 |
| et al | 0.7961 |
| Morbid obesity | 0.898891 |
| page | 0.438815 |
| PowerPoint presentation | 0.629365 |
|
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Short and Extended Messages'Anthrax' Communicating in the First Hours |
The CERC training program educates people on the principles and application of crisis and emergency risk communication when responding to a public health emergency. |
| MPEG | 0.378858 |
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| DOC | 0.368812 |
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| page | 0.276773 |
|
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Preventing Chronic Disease | Community-Based Settings and Sampling Strategies: Implications for Reducing Racial Health Disparities Among Black Men, New York City, 2010"2013 - CDC |
Rates of screening colonoscopies, an effective method of preventing colorectal cancer, have increased in New York City over the past decade, and racial disparities in screening have declined. However, vulnerable subsets of the population may not be reached by traditional surveillance and intervention efforts to improve colorectal cancer screening rates. |
| social service agencies | 0.477074 |
| CRC screening recommendations | 0.441288 |
| ethnic health disparities | 0.489575 |
| location-based sample | 0.465347 |
| data | 0.460194 |
| lowest screening rates | 0.441145 |
| health fairs | 0.460566 |
| screening colonoscopy | 0.488454 |
| RDD samples | 0.44726 |
| self-reported general health | 0.437119 |
| New York City | 0.599752 |
| health disparities | 0.543519 |
| social services | 0.447403 |
| York University School | 0.435609 |
| health fair participants | 0.472809 |
| weighted RDD sample | 0.443115 |
| York University Health | 0.438709 |
| social service locations | 0.431871 |
| population-wide health strategy | 0.43967 |
| location-based community sample | 0.432532 |
| CRC screening | 0.686472 |
| Men’s Health | 0.45337 |
| community health survey | 0.539514 |
| RDD sample | 0.447251 |
|
| health promotion interventions | 0.484281 |
| New York University | 0.573856 |
| significant racial disparities | 0.479947 |
| racial disparities | 0.663347 |
| United States | 0.564411 |
| health promotion | 0.55501 |
| cancer screening rates | 0.458499 |
| health data sets | 0.432172 |
| senior centers | 0.477905 |
| general health data | 0.453017 |
| public health | 0.567181 |
| health care | 0.532435 |
| participants | 0.509421 |
| New York | 0.834026 |
| health promotion programs | 0.478643 |
| black men | 0.951184 |
| potentially obscuring disparities | 0.459304 |
| lower CRC screening | 0.44813 |
| health | 0.778727 |
| CRC screening rates | 0.614672 |
| timely screening colonoscopy | 0.436752 |
| reduced racial disparities | 0.447688 |
| regular health care | 0.432546 |
| older black men | 0.599546 |
|
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| 11178 |
Centers for Disease Control and Prevention |
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CDC Telebriefing on Ebola outbreak in West Africa |Transcript - Monday, July 28, 2014, 2:30 p.m. ET | CDC Newsroom |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| CDC | 0.567428 |
| maggie fox | 0.570884 |
| questions | 0.572275 |
| Ebola infection | 0.564946 |
| Ebola virus | 0.610895 |
| infectious disease threats | 0.570815 |
| Ebola outbreak | 0.649338 |
| direct patient care | 0.613318 |
| direct contact | 0.597415 |
| Ebola technical assistance | 0.582665 |
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| family members | 0.58376 |
| World Health Organization | 0.588589 |
| personal protective equipment | 0.570752 |
| west africa | 0.640846 |
| mike stobbe | 0.562903 |
| denise grady | 0.562999 |
| betsy mckay | 0.591017 |
| ongoing Ebola outbreak | 0.609944 |
| symptoms | 0.569979 |
| stephan monroe | 0.975764 |
| Ebola outbreaks | 0.604645 |
| jon lapook | 0.581173 |
| Ebola patients | 0.600992 |
| Ebola | 0.716596 |
|
| global health security | 0.58687 |
| United States | 0.639638 |
| michele marill | 0.564535 |
| Sierra Leone | 0.57466 |
| infection control | 0.570929 |
| American healthcare workers | 0.586764 |
| Ebola cases | 0.57356 |
| U.S. | 0.597704 |
| health care workers | 0.76153 |
| caelainn hogan | 0.571401 |
| health care worker | 0.570974 |
| cases | 0.603214 |
| disease | 0.574199 |
| question | 0.63993 |
| fever watch | 0.583905 |
| bodily fluids | 0.562965 |
| jacob ward | 0.564648 |
| people | 0.648142 |
| American health care | 0.566222 |
| tom skinner | 0.859631 |
| marty cetron | 0.749677 |
| largest Ebola outbreak | 0.612339 |
| OPERATOR | 0.578561 |
| healthcare workers | 0.596952 |
|
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Centers for Disease Control and Prevention |
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Secondhand Smoke | Vital Signs |
CDC Vital Signs links science, policy, and communications with the intent of communicating a call-to-action for the public. CDC Vital Signs provides the most recent, comprehensive data on key indicators of important health topics. |
| unwanted SHS | 0.681207 |
| dangers | 0.446644 |
| control programs | 0.463493 |
| smokefree policies | 0.486606 |
| Page | 0.459654 |
| children | 0.534115 |
| indoor spaces | 0.46753 |
| smokefree units | 0.486748 |
| black children | 0.471089 |
| homes | 0.444189 |
| indoor smoking | 0.483539 |
| secondhand smoke | 0.480708 |
| local smokefree laws | 0.550501 |
| public housing | 0.516835 |
| SHS | 0.953558 |
| major source | 0.470771 |
| poverty level | 0.547404 |
| tobacco education campaigns | 0.528027 |
| significant problem | 0.470184 |
| tobacco products | 0.612332 |
| SHS exposure | 0.85785 |
| nonsmokers | 0.663308 |
| View larger image | 0.745488 |
| nonsmoking patients | 0.464675 |
| smokefree rules | 0.492224 |
|
| rental housing | 0.47211 |
| greatest burden | 0.464453 |
| adult nonsmokers | 0.541619 |
| funding programs | 0.46104 |
| primary source | 0.468362 |
| indoor public places | 0.514801 |
| children ages | 0.477194 |
| city officials | 0.473553 |
| certain groups | 0.472774 |
| Support efforts | 0.464172 |
| public places | 0.663353 |
| adult nonsmokers* | 0.478625 |
| smoking | 0.525583 |
| free help | 0.463523 |
| multiunit housing | 0.526219 |
| text description | 0.591319 |
| common areas | 0.46763 |
| people | 0.464985 |
| black nonsmokers | 0.538527 |
| home | 0.441174 |
| Fund comprehensive tobacco | 0.526924 |
| smoke-free environments | 0.468385 |
| Nearly half | 0.468861 |
| air fresheners | 0.468914 |
|
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Centers for Disease Control and Prevention |
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Preventing Teen Pregnancy |
CDC Vital Signs links science, policy, and communications with the intent of communicating a call-to-action for the public. CDC Vital Signs provides the most recent, comprehensive data on key indicators of important health topics. |
| young women | 0.436252 |
| teens ages | 0.564069 |
| Mortality Weekly Report | 0.459316 |
| American Academy | 0.434269 |
| High upfront costs | 0.466692 |
| health care provider | 0.517683 |
| effective first-line choice | 0.466022 |
| Doctor’s Channel | 0.434348 |
| Teens Aged | 0.487433 |
| effective types | 0.474028 |
| health care providers | 0.468657 |
| local programs | 0.435356 |
| LARC users | 0.586413 |
| teen pregnancy | 0.53909 |
| broad range | 0.473255 |
| latest clinical guidelines | 0.464886 |
| Winnable Battles | 0.435371 |
| Signs Issue details | 0.460232 |
| birth control pills | 0.54336 |
| family planning services | 0.464286 |
| sexually transmitted disease | 0.468908 |
| Prevention Status Reports | 0.463446 |
| sexually transmitted diseases | 0.532837 |
| birth control | 0.904762 |
| effective choice | 0.438304 |
|
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| Acting Reversible Contraception | 0.464284 |
| condoms | 0.438551 |
| Vital Signs | 0.508734 |
| LARC | 0.798309 |
| teens | 0.754216 |
| birth control options | 0.531541 |
| good news | 0.441752 |
| sexually active teens | 0.549679 |
| no-cost options | 0.437138 |
| LARC insertion | 0.65652 |
| American College | 0.434303 |
| out-of-pocket cost | 0.435107 |
| control use LARC | 0.586562 |
| clinical guidelines | 0.469844 |
| Long-Acting Reversible Contraception | 0.536794 |
| effective birth control | 0.484972 |
| Teen childbearing | 0.459244 |
| fewer unplanned pregnancies | 0.466801 |
| funding options | 0.467371 |
| social costs | 0.440527 |
| time | 0.450813 |
| health plan | 0.434058 |
| Intrauterine devices | 0.439902 |
|
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Using Science to Prevent Cancer |
CDC’s Division of Cancer Prevention and Control does research to find better ways to prevent cancer and support people with cancer. |
| Cancers Workgroup | 0.249149 |
| HPV Typing | 0.271245 |
| tobacco-related cancers | 0.318376 |
| HPV types | 0.283223 |
| American Cancer Society | 0.432472 |
| high quality standards | 0.289233 |
| Annual report | 0.209501 |
| tobacco users | 0.203726 |
| Henley SJ | 0.203527 |
| journal Pediatrics | 0.207649 |
| Mortality Web-based Report | 0.293218 |
| tobacco-related cancer incidence | 0.419506 |
| tobacco-free environments | 0.210014 |
| cancer diagnosis | 0.304523 |
| comprehensive programs | 0.206996 |
| CDC’s Division | 0.2339 |
| HPV vaccines | 0.446706 |
| United States Cancer | 0.412435 |
| human papillomavirus | 0.33362 |
| specific cancer topic | 0.402047 |
| death rates | 0.310628 |
| original research | 0.205655 |
| Shepard Science Award | 0.298108 |
| new cases | 0.216745 |
| cancer screening | 0.305555 |
|
| recent report | 0.225402 |
| United States | 0.762377 |
| cancer tissue samples | 0.4985 |
| future impact | 0.205275 |
| Cancer Statistics Working | 0.380184 |
| support people | 0.219176 |
| population-based cancer registries | 0.401012 |
| Ly KN | 0.204927 |
| overall decrease | 0.203169 |
| tobacco-related cancer deaths | 0.434294 |
| potential impact | 0.312862 |
| National Cancer Institute | 0.90538 |
| North American Association | 0.316497 |
| potential cancer causes | 0.385953 |
| Shepard Award | 0.208527 |
| 9-valent HPV vaccines | 0.373889 |
| key findings | 0.208017 |
| peer-reviewed journal | 0.20658 |
| year.1 CDC | 0.252713 |
| Recent publications | 0.219001 |
| Central Cancer Registries | 0.437195 |
| liver cancer | 0.572538 |
| Cancer Prevention | 0.460687 |
| Disease Registry | 0.205469 |
|
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Prevalence of Doctor-Diagnosed Arthritis at State and CountyLevels - United States, 2014 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| U.S. standard population | 0.440161 |
| high school | 0.393968 |
| high school graduate | 0.377369 |
| county level | 0.418849 |
| age group | 0.377538 |
| adults | 0.396587 |
| public health practitioners | 0.375085 |
| Risk Factor Surveillance | 0.571458 |
| health outcomes | 0.381896 |
| West Virginia | 0.375864 |
| arthritis symptoms | 0.507299 |
| model-predicted arthritis prevalence | 0.623452 |
| multilevel regression | 0.407657 |
| public health surveillance | 0.377864 |
| public health professionals | 0.394678 |
| health care providers | 0.448664 |
| evidence-based arthritis interventions | 0.494283 |
| public health | 0.46454 |
| doctor-diagnosed arthritis | 0.917811 |
| 50 states | 0.629745 |
| activity interventions | 0.384959 |
| Survey 5-year estimates | 0.391116 |
| greatest effect | 0.378755 |
| noninstitutionalized adult population | 0.377942 |
|
| county-level estimates | 0.422318 |
| age-standardized model-predicted arthritis | 0.507959 |
| American Community Survey | 0.430197 |
| high prevalence | 0.513447 |
| age-standardized prevalence | 0.41728 |
| rheumatoid arthritis | 0.473953 |
| age-standardized median prevalence | 0.509615 |
| self-management education | 0.466039 |
| pulmonary disease prevalence | 0.415069 |
| median survey response | 0.375461 |
| county population estimates | 0.398005 |
| public health practice | 0.394918 |
| age-standardized prevalences | 0.384475 |
| BRFSS individual-level data | 0.37523 |
| American Indian/Alaska Native | 0.443538 |
| state level | 0.384073 |
| counties | 0.422068 |
| national level | 0.384129 |
| Behavioral Risk Factor | 0.573575 |
| self-management education interventions | 0.387922 |
| age-standardized weighted prevalence | 0.445106 |
| age-standardized weighted prevalences | 0.402113 |
| age-standardized model-predicted prevalence | 0.448788 |
|
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Health Care Personnel and Flu Vaccination, Internet Panel Survey, United States, November 2015 |
Findings from the Internet Panel Survey of health care personnel flu vaccination in the United States for the 2015-16 flu seasons CDC |
| early season flu | 0.447615 |
| early flu season | 0.348824 |
| vaccination campaigns | 0.308777 |
| influenza vaccination coverage | 0.335408 |
| season flu vaccination | 0.525572 |
| internet panel survey | 0.302937 |
| flu vaccines | 0.320698 |
| highest vaccination coverage | 0.335265 |
| early season estimate | 0.26221 |
| early season online | 0.310729 |
| early season coverage | 0.307732 |
| HCP vaccination coverage | 0.490658 |
| HCP | 0.580258 |
| current vaccination efforts | 0.306586 |
| season HCP vaccination | 0.481239 |
| unvaccinated HCP | 0.363058 |
| Influenza vaccination performance | 0.307598 |
| early season | 0.578249 |
| national flu vaccination | 0.377963 |
| vaccination requirements | 0.301896 |
| long-term care | 0.334209 |
| long-term care settings | 0.297457 |
| non-clinical support staff | 0.316687 |
| flu vaccine | 0.305713 |
| flu complications | 0.295864 |
|
| flu vaccination coverage | 0.90814 |
| eligible HCP | 0.329817 |
| percentage points | 0.291609 |
| HCP flu vaccination | 0.513637 |
| Influenza vaccination levels | 0.310142 |
| internet panel | 0.353167 |
| U.S. HCP | 0.332157 |
| end-of-season flu vaccination | 0.375665 |
| annual flu vaccination | 0.405374 |
| work settings | 0.294623 |
| National Influenza Vaccination | 0.337427 |
| current flu season | 0.314613 |
| health care | 0.327508 |
| HCP whose employers | 0.341141 |
| flu seasons | 0.294981 |
| onsite vaccination | 0.296115 |
| HCP groups | 0.341354 |
| influenza vaccination | 0.370435 |
| HCP influenza vaccine | 0.361219 |
| vaccination results | 0.292346 |
| vaccination history | 0.294396 |
| volunteer HCP | 0.327847 |
| season online report | 0.308492 |
| et al | 0.268013 |
|
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Parents | Your Child's Vaccine Visit |
Steps parents can take before, during and after vaccine visits to make them easier and less stressful. |
| health insurance | 0.562024 |
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| vaccination visit | 0.475778 |
| following tips | 0.469024 |
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| VFC program website | 0.534474 |
| possible. Learn | 0.478512 |
| shots | 0.596542 |
| up-to-date record | 0.477169 |
| child | 0.914093 |
| free vaccines | 0.547777 |
| Pay extra attention | 0.523333 |
| important services | 0.47298 |
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| vaccine materials | 0.517841 |
|
| vaccines | 0.742537 |
| deep breaths | 0.476874 |
| uninsured children | 0.477912 |
| interesting things | 0.470497 |
| cool sponge bath | 0.524157 |
| vfc program | 0.561247 |
| local health department | 0.533677 |
| public health clinic. | 0.531519 |
| vaccine visits | 0.516229 |
| Skin-to-skin contact | 0.478468 |
| scary stories | 0.477985 |
| VFC vaccines | 0.544945 |
| mild illness | 0.480751 |
| VFC Coordinators | 0.473737 |
| eligible children | 0.475933 |
| favorite toy | 0.551624 |
| possible vaccine administration | 0.556507 |
| Children program | 0.476539 |
| health insurance plans | 0.530528 |
| staff members | 0.47087 |
| mild reactions | 0.47216 |
| doctor | 0.592187 |
| sweet beverage | 0.471808 |
| eye contact | 0.476123 |
|
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