| 4767 |
Centers for Disease Control and Prevention |
Html |
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Multisectoral lessons from healthy communities. |
null |
| population health interventions | 0.489924 |
| population health policies | 0.524031 |
| population health initiatives | 0.524127 |
| health equity | 0.487686 |
| targeted health outcomes | 0.49149 |
| health improvement activities | 0.501683 |
| social determinants | 0.507541 |
| health outcomes | 0.646006 |
| Public Health Institute | 0.497782 |
| health care reform | 0.6258 |
| health improvement initiatives | 0.489155 |
| health care providers | 0.506505 |
| community health initiatives | 0.542936 |
| long-term health effects | 0.500074 |
| population health | 0.885149 |
| community health collaborative | 0.530665 |
| health status | 0.506454 |
| community health | 0.668259 |
| Health information technology | 0.481744 |
| health care organizations | 0.518316 |
| health reform | 0.516032 |
| public health agencies | 0.494801 |
| population health efforts | 0.616335 |
| health status improvement | 0.491397 |
| United States | 0.565415 |
|
| private health care | 0.526501 |
| population health approach | 0.499478 |
| health care programs | 0.522573 |
| Health Improvement Initiative | 0.471563 |
| health improvement | 0.620393 |
| Community Health Promotion | 0.56143 |
| community health focus | 0.550081 |
| health care | 0.782019 |
| public health | 0.585693 |
| population health improvement | 0.493158 |
| public health organizations | 0.519993 |
| World Health Organization | 0.54731 |
| good health | 0.466874 |
| Community Care Network | 0.514576 |
| health | 0.91027 |
| health care coverage | 0.490601 |
| Health Promotion Grant | 0.508664 |
| population health outcomes | 0.562057 |
| future health systems | 0.487298 |
| healthy communities movement | 0.554314 |
| Foundation Community Health | 0.536576 |
| public health sector | 0.494945 |
| community health outcomes | 0.552427 |
| recent health care | 0.527893 |
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| 8612 |
Centers for Disease Control and Prevention |
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PanFlu Storybook - In Memorial, Marcella Bobzien |
In Memorial, To date, October 1918 remains the deadliest month in U.S. history when approximately 200,000 Americans died of the flu. Healthy, young adults (average age 35 years) began coughing in the morning and were dead by the evening. The family stories described in this section define true courage amid unbearable loss. |
| 1918 flu pandemic | 0.831942 |
| urban America | 0.420165 |
| brothers | 0.271262 |
| arrangement | 0.238189 |
| Carmen Garske Bobzien | 0.696732 |
| toddler | 0.244613 |
| community′s capacity | 0.403409 |
| Robert | 0.312156 |
| rural North Dakota | 0.960055 |
| sister′s children | 0.402576 |
| young children | 0.406766 |
| Leon | 0.238229 |
| Marilynn Sutherland | 0.479123 |
| saddened listening | 0.451394 |
| grandmother Carmen | 0.502497 |
| siblings Millie | 0.449186 |
| outskirts | 0.239438 |
| Marcella Bobzien | 0.512074 |
| adult | 0.236965 |
| Bismarck | 0.239291 |
| second-hand knowledge | 0.409664 |
| pandemic flu | 0.840436 |
| Stella Garske Bobzien | 0.604021 |
| Dolores | 0.248085 |
| close–knit farming community | 0.582038 |
|
| epidemic′s dependent survivors | 0.576819 |
| duration | 0.239408 |
| mother′s stories | 0.423821 |
| Storyteller | 0.244065 |
| orphanage | 0.23989 |
| Otto′s diary | 0.407305 |
| Jack | 0.237371 |
| Otto John Bobzien | 0.634523 |
| public health | 0.402595 |
| Bea | 0.247028 |
| sod farmhouse | 0.416584 |
| flu deaths | 0.542349 |
| maternal grandparents | 0.445172 |
| Carmen′s younger sister | 0.584438 |
| recollections | 0.243008 |
| Dick | 0.236716 |
| inevitable next flu | 0.545216 |
| Vernon | 0.34896 |
| Jim | 0.237393 |
| Ferd | 0.335858 |
| time | 0.237618 |
| family | 0.339136 |
| pandemics | 0.252807 |
| isolated farming families | 0.61478 |
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| 8826 |
Centers for Disease Control and Prevention |
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MRSA study slashes deadly infections in sickest hospital patients | CDC Online Newsroom | Press Release ' |
MRSA study slashes deadly infections in sickest hospital patients |
| routine care | 0.419109 |
| Tom Frieden | 0.561556 |
| ICU patients | 0.820899 |
| adult ICUs | 0.481782 |
| Health Care Institute | 0.527766 |
| Disease Control | 0.415918 |
| safer environment | 0.421859 |
| preventable hospital-acquired conditions | 0.513147 |
| largest study | 0.434854 |
| medical director | 0.415821 |
| ointment | 0.480573 |
| CDC Director Tom | 0.636796 |
| care. HHS-wide efforts | 0.49458 |
| UC Irvine Health | 0.495008 |
| methicillin-resistant Staphylococcus aureus | 0.562928 |
| first-line antibiotic treatments | 0.511123 |
| Affordable Care Act | 0.495582 |
| author Susan Huang | 0.49159 |
| bloodstream infections | 0.637976 |
| universal decolonization strategy | 0.494495 |
| MRSA prevention strategies | 0.755129 |
| Broadcast quality clips | 0.545612 |
| high-risk patient group | 0.498598 |
| deadly drug-resistant infections | 0.584974 |
|
| New England Journal | 0.518937 |
| Human Services-funded study | 0.542019 |
| CDC report | 0.485186 |
| clinical practice | 0.418392 |
| preventable infection | 0.459147 |
| CDC research programs. | 0.57077 |
| MRSA prevention practices | 0.73331 |
| healthcare-associated infections | 0.525773 |
| medical care. Three-quarters | 0.512347 |
| intensive-care unit | 0.431968 |
| hospital ICUs | 0.472162 |
| Dr. Tom Frieden | 0.526212 |
| CDC infection prevention | 0.618696 |
| Healthcare Research | 0.425959 |
| multidisciplinary team | 0.411678 |
| Director Carolyn M. | 0.523132 |
| germ-killing soap | 0.837979 |
| Staphylococcus aureus infections | 0.593377 |
| hospitals. CDC | 0.489028 |
| National Action Plan | 0.494674 |
| REDUCE MRSA trial | 0.915609 |
| new Department | 0.424037 |
| Hospital Corporation | 0.416315 |
| National Quality Strategy | 0.50159 |
|
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Centers for Disease Control and Prevention |
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CDC and South Carolina Department of Health and Environmental Control Warn of Possible Hepatitis A Exposure at Hilton Head Restaurant | Media Advisory | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| stool | 0.428151 |
| health care provider | 0.631751 |
| objects | 0.420369 |
| health codes | 0.520893 |
| Disease Control | 0.535195 |
| restaurant worker | 0.536357 |
| microscopic amounts | 0.523795 |
| a.m. | 0.419505 |
| visit http://www.scdhec.gov/administration/news/2014/nr20140222-1.htm | 0.508931 |
| contagious liver disease | 0.629579 |
| weekdays | 0.42608 |
| Hudson | 0.42086 |
| Communications Director | 0.511721 |
| Customers | 0.423297 |
| Hilton Head restaurant | 0.656471 |
| HUMAN SERVICES | 0.513281 |
| Individuals | 0.421742 |
| foodworker | 0.419995 |
| South Carolina Department | 0.936135 |
| Centers | 0.423787 |
| mark.plowden@dhec.sc.gov. | 0.511188 |
| drinks | 0.42087 |
| Mark Plowden | 0.520902 |
| Prevention | 0.423752 |
| Seafood House | 0.535137 |
|
| Environmental Control | 0.745015 |
| sanitary procedures | 0.518903 |
| U.S. DEPARTMENT | 0.512431 |
| mild illness | 0.526063 |
| potential exposure | 0.524588 |
| Head Island | 0.532572 |
| ate food | 0.552512 |
| visit http://www.cdc.gov/Hepatitis/A/index.htm | 0.514631 |
| severity | 0.427018 |
| hepatitis A. | 0.727282 |
| staff | 0.423283 |
| people | 0.466435 |
| infected person | 0.519227 |
| Docks | 0.425875 |
| vaccine | 0.42262 |
| healthcare provider | 0.513677 |
| fecal matter | 0.526122 |
| investigation | 0.434447 |
| information | 0.449462 |
| risk | 0.423093 |
| time | 0.421639 |
| severe illness | 0.523345 |
| evening | 0.421992 |
| post-exposure treatment | 0.542168 |
|
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| 10797 |
Centers for Disease Control and Prevention |
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CDC Transcript: First case of Middle East Respiratory Syndrome Coronavirus infection (MERS) in the United States | Transcript | CDC Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| general public | 0.402233 |
| indiana state | 0.378682 |
| CDC | 0.431109 |
| Indiana | 0.420324 |
| Respiratory Syndrome Coronavirus | 0.398517 |
| Dr. Anne Schuchat | 0.388745 |
| active investigation | 0.488443 |
| additional press conferences | 0.391171 |
| healthcare facility | 0.395084 |
| World Health Organization | 0.379325 |
| state your affiliation | 0.547281 |
| countries | 0.383194 |
| betsy mckay | 0.392938 |
| symptoms | 0.406564 |
| Indiana state health | 0.377061 |
| caleb hellerman | 0.429379 |
| person | 0.45043 |
| case fatality rate | 0.448621 |
| arabian peninsula | 0.483322 |
| East Respiratory Syndrome | 0.397275 |
| anne schuchat | 0.912509 |
| United States | 0.513634 |
| line | 0.3843 |
| rob stein | 0.383024 |
| virus | 0.521429 |
|
| healthcare | 0.459835 |
| Saudi Arabia | 0.754746 |
| patient | 0.577828 |
| state health department | 0.407915 |
| bob roos | 0.381516 |
| close contact | 0.461599 |
| hospital | 0.379656 |
| public health | 0.497301 |
| travel history | 0.398599 |
| stable condition | 0.384868 |
| Middle East Respiratory | 0.396087 |
| question | 0.660442 |
| Indiana health department | 0.396264 |
| health department | 0.431959 |
| lena sun | 0.393035 |
| people | 0.55072 |
| tom skinner | 0.408963 |
| OPERATOR | 0.441415 |
| healthcare provider | 0.435384 |
| information | 0.396562 |
| time | 0.388726 |
| MERS | 0.426403 |
| Indiana public health | 0.411866 |
| public health laboratory | 0.407323 |
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Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Smoking in Top-Grossing US Movies, 2011 - CDC |
We reviewed the number of incidents of tobacco use (almost exclusively smoking) depicted in movies in the United States in 2011 to compare that with previously reported trends. |
| tobacco appearances | 0.271862 |
| United States | 0.210493 |
| top-grossing movies | 0.727157 |
| policies | 0.23103 |
| Human Services | 0.205497 |
| smoking causes youth | 0.238583 |
| movies | 0.762188 |
| movie subsidy programs | 0.201236 |
| Tobacco Control Research | 0.28717 |
| companies | 0.212776 |
| long-term trends | 0.203021 |
| Motion Picture Association | 0.385641 |
| tobacco brands | 0.286119 |
| tobacco | 0.903074 |
| new youth-rated movies | 0.225765 |
| earlier report | 0.247121 |
| tobacco product | 0.456 |
| in-theater tobacco impressions | 0.287711 |
| figure | 0.232513 |
|
| box office | 0.209869 |
| Historical data | 0.251909 |
| tabular version | 0.256941 |
| tobacco-free youth-rated movies | 0.234557 |
| Total tobacco incidents | 0.390767 |
| tobacco use incident | 0.271744 |
| R-rated movie | 0.225733 |
| fewer incidents | 0.200811 |
| tobacco depictions | 0.287536 |
| youth smoking | 0.21933 |
| onscreen tobacco imagery | 0.298575 |
| support youth-rated movies | 0.228047 |
| top-grossing US movie | 0.204643 |
| youth-rated movies | 0.566251 |
| tobacco incidents | 0.768655 |
| tobacco imagery | 0.433027 |
| onscreen smoking | 0.270858 |
| Sacramento-Emigrant Trails | 0.202166 |
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Centers for Disease Control and Prevention |
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Cancer Registries' Value for You |
Explains the function and value of cancer registries. |
| certain area | 0.62924 |
| United States | 0.494187 |
| cancer registry data | 0.819228 |
| importance | 0.333609 |
| colon cancer screening | 0.603049 |
| senior medical epidemiologist | 0.656077 |
| general population | 0.468918 |
| cancer registries | 0.503703 |
| problem | 0.329664 |
| rocks | 0.330593 |
| Example | 0.419205 |
| podcast | 0.337513 |
| high lung cancer | 0.60146 |
| Appalachian Kentucky | 0.463237 |
| certain kind | 0.494259 |
|
| important questions | 0.489258 |
| organ transplants | 0.477826 |
| large health care | 0.595313 |
| Dr. Loria Pollack | 0.687991 |
| registry data | 0.948186 |
| rates | 0.328956 |
| groups | 0.366282 |
| people | 0.460242 |
| statewide plan | 0.4624 |
| future | 0.334725 |
| organizations | 0.329806 |
| cancer | 0.823135 |
| information | 0.400876 |
| risk | 0.330615 |
| Cancer-causing elements | 0.480891 |
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| 14490 |
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Who Would Pay for State Alcohol Tax Increases in the UnitedStates? |
Preventing Chronic Disease (PCD) is a peer-reviewed electronic journal established by the National Center for Chronic Disease Prevention and Health Promotion. PCD provides an open exchange of information and knowledge among researchers, practitioners, policy makers, and others who strive to improve the health of the public through chronic disease prevention. |
| capita alcohol consumption | 0.30075 |
| alcohol tax increase | 0.296011 |
| binge drinkers | 0.229577 |
| net cost | 0.29351 |
| binge drinking | 0.365435 |
| hypothetical tax increases | 0.333861 |
| tax increases | 0.788391 |
| alcohol prices | 0.237541 |
| hypothetical tax increase | 0.31302 |
| Alcohol Abuse | 0.225825 |
| higher alcohol taxes | 0.283553 |
| alcohol taxes | 0.45171 |
| alcohol | 0.791816 |
| aggregate costs | 0.290183 |
| adult excessive drinkers | 0.290387 |
| state alcohol tax | 0.464782 |
| BRFSS core alcohol | 0.230523 |
| heavy drinker | 0.254124 |
| daily average | 0.255015 |
| alcohol tax increases | 0.746898 |
| state alcohol taxes | 0.34449 |
| sociodemographic characteristics | 0.234235 |
| alcohol policy interventions | 0.233863 |
| capita costs | 0.345711 |
|
| State-specific tax increases | 0.249169 |
| United States | 0.387976 |
| drinks | 0.467223 |
| current alcohol taxes | 0.253209 |
| average annual increase | 0.230942 |
| non-Hispanic white drinkers | 0.274355 |
| alcohol consumption | 0.607549 |
| Average daily alcohol | 0.264005 |
| Alcohol Epidemiologic Data | 0.232708 |
| excessive drinkers | 0.841684 |
| Excessive alcohol consumption | 0.347454 |
| excessive drinking | 0.243269 |
| hypothetical state alcohol | 0.373777 |
| non-Hispanic whites | 0.284088 |
| public health | 0.250963 |
| nonexcessive drinkers | 0.909314 |
| costs | 0.35543 |
| Alcohol Policy Information | 0.282279 |
| value-based alcohol taxes | 0.253549 |
| annual alcohol consumption | 0.244944 |
| hypothetical alcohol tax | 0.299364 |
| evidence-based public health | 0.239268 |
| alcohol spectrum disorders | 0.239775 |
| current drinkers | 0.239986 |
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Human Rabies - Wyoming and Utah, 2015 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| rabies virus variant | 0.793517 |
| fatal zoonotic disease | 0.519384 |
| bat exposures | 0.513214 |
| bat exposure | 0.733515 |
| rabies transmission risk | 0.647574 |
| County Health Department | 0.622673 |
| rabies education | 0.588441 |
| infectious diseases | 0.449339 |
| possible rabies exposure | 0.679373 |
| health medical director | 0.451416 |
| rabies IgM | 0.617606 |
| human rabies case | 0.640465 |
| direct bat contact | 0.496057 |
| health care providers | 0.693973 |
| rabies virus infection | 0.69431 |
| bat contact | 0.622298 |
| Rabies Branch | 0.599919 |
| public health officials | 0.454607 |
| 5SageWest Health Care | 0.447356 |
| public health practice | 0.485637 |
| public health agencies | 0.46277 |
| rabies virus | 0.961453 |
| inactivated rabies vaccine | 0.642804 |
| United States | 0.522969 |
|
| silver-haired bat | 0.592227 |
| human rabies | 0.801899 |
| rabies risk | 0.793343 |
| potential bat exposure | 0.629378 |
| bat incident | 0.445616 |
| possible bat exposure | 0.545431 |
| public health domain | 0.448464 |
| rabies risk assessment | 0.7149 |
| rabies exposure risk | 0.708275 |
| employee health department | 0.459558 |
| rabies virus exposure | 0.678301 |
| patient | 0.608694 |
| rabies infection | 0.675749 |
| Wyoming woman | 0.485176 |
| Salt Lake City | 0.532861 |
| bat encounters | 0.448544 |
| human rabies cases | 0.796864 |
| public health | 0.694952 |
| Lake County Health | 0.53214 |
| nuchal skin biopsy | 0.487428 |
| bat-associated rabies virus | 0.651646 |
| local public health | 0.465111 |
| invasive species | 0.456449 |
| PEP | 0.449938 |
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FastStats - Assault or Homicide |
null |
| PDF | 0.562831 |
| MB | 0.709814 |
| Final Data | 0.949607 |
|
| Deaths | 0.76928 |
| Source | 0.580924 |
|
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