| 6156 |
Centers for Disease Control and Prevention |
Html |
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Ticks |
Information on ticks and tickborne disease. Provided by the U.S. Centers for Disease Control and Prevention. |
| different types | 0.387676 |
| ticks | 0.62899 |
| Open Season | 0.368529 |
| Clinical Features | 0.386214 |
|
| Emerging Tickborne Diseases | 0.864514 |
| different file formats | 0.682276 |
| HHS joint webinar | 0.946698 |
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| 6523 |
Centers for Disease Control and Prevention |
Html |
en |
Swine Influenza (Influenza in Swine) |
Swine Influenza (Influenza in Swine) - CDC |
| pig herds | 0.349155 |
| exception | 0.229374 |
| list Skip | 0.424338 |
| seasonal influenza | 0.506293 |
| following links | 0.323112 |
| page options Skip | 0.548327 |
| swine influenza | 0.991807 |
| swine flu viruses | 0.955769 |
| high levels | 0.338881 |
| Swine influenza viruses | 0.908826 |
| type | 0.22626 |
| navigation Skip | 0.423517 |
|
| H1N1 virus | 0.32222 |
| Variant Influenza Viruses | 0.683194 |
| main swine flu | 0.653014 |
| respiratory disease | 0.34652 |
| variant viruses | 0.417242 |
| late fall | 0.333969 |
| information | 0.242911 |
| U.S. pigs | 0.363138 |
| outbreaks | 0.315127 |
| humans | 0.290898 |
| deaths | 0.230137 |
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| 6637 |
Centers for Disease Control and Prevention |
Html |
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Chemical Class - Nitrosamines/ethers/alcohols |
Nitrosamines are a group of organic chemicals formed by the interaction of nitrites with amines or amides inside the body; they have been found to cause cancer in animals. Ethers contain hydrocarbon groups connected by an oxygen atom. They are volatile and highly flammable organic compounds, and ; some have been used as anesthetics. |
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| 8509 |
Centers for Disease Control and Prevention |
Html |
en |
World Health Day - April 7, 2013 |
Persons using assistive technology might not be able to fully access information in this file. For assistance, please send e-mail to: mmwrq@cdc.gov. |
| mmwrq@cdc.gov. | 0.565192 |
| CDC | 0.578851 |
| endorsement | 0.469135 |
| ischemic heart disease | 0.690275 |
| public health practitioners | 0.687365 |
| Human Services | 0.667705 |
| assistive technology | 0.567984 |
| 50th anniversary | 0.55203 |
| U.S. Department | 0.663719 |
| MMWR HTML versions | 0.653048 |
| Hearts initiative | 0.545082 |
| electronic PDF version | 0.641979 |
| World Health | 0.925471 |
| e-mail | 0.452905 |
| blood pressure | 0.950571 |
| sodium reduction initiative | 0.65456 |
| World Health Organization | 0.718902 |
| Additional information | 0.648054 |
| Contact GPO | 0.563537 |
| commercial sources | 0.538658 |
| blood pressure control | 0.683083 |
| major cause | 0.543396 |
| current prices | 0.53541 |
| multiple ways | 0.547581 |
|
| original paper copy | 0.648707 |
| heart attacks | 0.546095 |
| Global Burden | 0.543148 |
| U.S. Government Printing | 0.654762 |
| original MMWR paper | 0.648767 |
| Disease Study | 0.543549 |
| premature death | 0.549556 |
| MMWR readers | 0.544541 |
| character translation | 0.532645 |
| Murray CJ | 0.539079 |
| format errors | 0.533155 |
| Spanish-language materials | 0.552525 |
| subject line | 0.564246 |
| typeset documents | 0.539667 |
| trade names | 0.538752 |
| official text | 0.531196 |
| risk factor | 0.547885 |
| non-CDC sites | 0.537316 |
| high blood pressure | 0.877815 |
| et al | 0.536339 |
| Disability-adjusted life | 0.541043 |
| systematic analysis | 0.537639 |
| electronic conversions | 0.529883 |
| hypertension | 0.505097 |
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| 10677 |
Centers for Disease Control and Prevention |
Html |
en |
Public Health Issues |
Find information on public health issues related to air quality, including asthma, heart disease and stroke, and more. |
| outdoor activity | 0.650684 |
| heart health | 0.639765 |
| heart attack | 0.649093 |
| CDC | 0.532926 |
| Cooking | 0.529975 |
| destination | 0.52975 |
| teens | 0.530002 |
| facts | 0.529846 |
| especially children | 0.641832 |
| Clean Cookstoves | 0.667896 |
| world | 0.557405 |
| certain industrializing countries | 0.789532 |
| air quality | 0.742482 |
|
| group | 0.532013 |
| solid fuels | 0.655425 |
| Global Alliance | 0.647046 |
| diseases | 0.567443 |
| asthma | 0.649907 |
| people | 0.598971 |
| stroke | 0.531489 |
| Travelers | 0.531228 |
| heating indoors | 0.660279 |
| air pollution | 0.998052 |
| charcoal | 0.53412 |
| health effects | 0.645362 |
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| 11006 |
Centers for Disease Control and Prevention |
Html |
en |
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 |
Html |
en |
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 |
| horrific Ebola outbreak | 0.591171 |
| 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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| 14449 |
Centers for Disease Control and Prevention |
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en |
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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| 15286 |
Centers for Disease Control and Prevention |
Html |
en |
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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| 15461 |
Centers for Disease Control and Prevention |
Html |
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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 |
| insurance provider | 0.469639 |
| Vaccine Information Statements | 0.919107 |
| Immunization Schedule tool | 0.564021 |
| Alaska Native | 0.469954 |
| children | 0.516554 |
| public health clinics | 0.531456 |
| mild side effects | 0.473765 |
| health care professionals | 0.530442 |
| family members | 0.479133 |
| injection site | 0.471292 |
| non-aspirin pain reliever | 0.664262 |
| vaccination visit | 0.475778 |
| following tips | 0.469024 |
| immunization visit | 0.487707 |
| 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 |
| personal immunization record | 0.551904 |
| vaccine materials | 0.517841 |
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| 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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