| 4748 |
Centers for Disease Control and Prevention |
Html |
en |
H1N1 Presentation for Immunization Update 2010 |
null |
| H1N1 influenza vaccine | 0.614018 |
| vaccine program | 0.372257 |
| monovalent H1N1 vaccine | 0.472846 |
| potential health problems | 0.263501 |
| vaccine demand | 0.36378 |
| vaccine distribution | 0.45064 |
| pandemic flu vaccine | 0.587692 |
| comprehensive vaccination effort | 0.266049 |
| high public awareness | 0.257265 |
| Strategic National Stockpile | 0.246674 |
| public health guidance | 0.300017 |
| pandemic H1N1 disease | 0.423647 |
| pandemic H1N1 influenza | 0.772674 |
| Vaccine Treatment | 0.399324 |
| commercial supply chain | 0.237958 |
| health care personnel | 0.356724 |
| broad public service | 0.257977 |
| ample vaccine supply | 0.423615 |
| seasonal influenza vaccines | 0.350294 |
| influenza vaccine | 0.804134 |
| novel influenza virus | 0.398558 |
| Public health authorities | 0.392718 |
| seasonal influenza | 0.418055 |
| pandemic H1N1 vaccine | 0.598501 |
| vaccine candidate strains | 0.43152 |
|
| severe respiratory disease | 0.254634 |
| vaccine supply | 0.45283 |
| mass vaccination efforts | 0.259833 |
| severe disease | 0.242148 |
| public health laboratories | 0.299186 |
| influenza vaccine production | 0.788025 |
| vaccine safety systems | 0.455482 |
| H1N1 influenza virus | 0.400464 |
| new influenza strains | 0.353806 |
| United States | 0.255401 |
| new vaccine development | 0.444808 |
| public health recommendations | 0.284182 |
| candidate virus strains | 0.250135 |
| public health | 0.918452 |
| emergency vaccination program | 0.257842 |
| local public health | 0.306616 |
| vaccine acceptance rates | 0.425716 |
| vaccine | 0.823989 |
| new virus | 0.255063 |
| pandemic influenza vaccines | 0.484395 |
| spray influenza vaccine | 0.535328 |
| pandemic planning | 0.284977 |
| 2009 influenza pandemic | 0.719859 |
| influenza vaccination efforts | 0.360112 |
|
CLICK HERE |
| 5960 |
Centers for Disease Control and Prevention |
Html |
en |
Magnesite - NIOSH Pocket Guide to Chemical Hazards |
null |
| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
|
| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
|
CLICK HERE |
| 7059 |
Centers for Disease Control and Prevention |
Html |
en |
Global Health - Hungary |
null |
| Content source | 0.422709 |
| HHS | 0.297574 |
| list Skip | 0.74332 |
| endorsement | 0.291872 |
| CDC | 0.271556 |
| non-federal site | 0.4688 |
|
| Notice | 0.270187 |
| sponsors | 0.241885 |
| page options Skip | 0.947337 |
| information | 0.241652 |
| employees | 0.242118 |
|
CLICK HERE |
| 9101 |
Centers for Disease Control and Prevention |
Html |
en |
Remembering SARS - 10 Years Later |
Severe acute respiratory syndrome (SARS) is a viral respiratory illness caused by a coronavirus, called SARS-associated coronavirus (SARS-CoV). |
| South America | 0.365194 |
| CDC | 0.854082 |
| travel alert | 0.430352 |
| global alert | 0.410501 |
| SARS case definition | 0.569373 |
| atypical pneumonia | 0.433679 |
| new coronavirus | 0.363665 |
| Health Alert Notice | 0.465171 |
| North America | 0.365216 |
| sars outbreak | 0.607499 |
| probable SARS infections | 0.576028 |
| National Select Agent | 0.398837 |
| severe form | 0.366497 |
| initial case reports | 0.400775 |
| World Health Organization | 0.42159 |
| probable SARS cases | 0.596578 |
| SARS patient | 0.538136 |
| Severe Acute Respiratory | 0.528533 |
| dozen countries | 0.363904 |
| sars | 0.940654 |
| aerosol-generating procedures | 0.360288 |
| interim laboratory biosafety | 0.414007 |
| global SARS | 0.54124 |
| southern China | 0.372313 |
|
| key activities | 0.365681 |
| Hong Kong | 0.521981 |
| United States | 0.731539 |
| CDC issues | 0.832446 |
| SARS incubation periods | 0.576742 |
| infection control precautions | 0.407253 |
| community outreach team | 0.404402 |
| suspect cases | 0.417634 |
| probable SARS | 0.617586 |
| local health departments | 0.416444 |
| U.S. cases | 0.359908 |
| health alert cards | 0.459888 |
| public health | 0.360653 |
| hosts media telebriefing | 0.412108 |
| new probable cases | 0.423181 |
| interim domestic guidelines | 0.411589 |
| CDC laboratory analysis | 0.560597 |
| travel advisory | 0.411798 |
| Acute Respiratory Syndrome | 0.528002 |
| select agent | 0.431837 |
| CDC quarantine staff | 0.553108 |
| guangdong province | 0.428329 |
| mainland China | 0.410584 |
| Canadian health officials | 0.405251 |
|
CLICK HERE |
| 9846 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Multiple Chronic Conditions andLimitations in Activities of Daily Living in a Community-BasedSample of Older Adults in New York City, 2009 - CDC |
Nationally, 60% to 75% of older adults have multiple (2 or more) chronic conditions (MCCs), and the burden is even higher among low-income, racial/ethnic minority populations. |
| MCCs | 0.506247 |
| City University | 0.45539 |
| G. Chronic care | 0.46242 |
| multiple chronic conditions | 0.552305 |
| BADL limitation | 0.63793 |
| New York City | 0.639209 |
| health outcomes | 0.486414 |
| functional limitation | 0.466456 |
| public housing | 0.465176 |
| specific chronic conditions | 0.498204 |
| Ann Fam Med | 0.453082 |
| racially/ethnically diverse population | 0.455795 |
| nursing home admissions | 0.457177 |
| older NYCHA residents | 0.456792 |
| additional conditions | 0.458312 |
| New York School | 0.508621 |
| older age | 0.45355 |
| CrossRef | 0.463375 |
| NYCHA older residents | 0.458635 |
| chronic conditions increases | 0.497293 |
| greater limitations | 0.478234 |
| community-dwelling older adults | 0.455697 |
| complex medical conditions | 0.462487 |
| IADL limitations | 0.582075 |
|
| York City Housing | 0.504401 |
| ADL limitations | 0.516796 |
| City Housing Authority | 0.494087 |
| racial/ethnic minority populations | 0.457482 |
| greater proportion | 0.46187 |
| association | 0.463358 |
| overall BADL limitations | 0.513971 |
| Sci Soc Sci | 0.453679 |
| self-reported IADL limitations | 0.499187 |
| BADL limitations | 0.860274 |
| Psychol Sci Soc | 0.454503 |
| public health | 0.486168 |
| New York | 0.682378 |
| low-income older adults | 0.550885 |
| common chronic condition | 0.470431 |
| federal poverty guidelines | 0.472979 |
| chronic disease duration | 0.467243 |
| severe limitations | 0.475838 |
| health | 0.515244 |
| common chronic conditions | 0.513372 |
| chronic conditions | 0.989435 |
| York City Department | 0.541818 |
| older adults | 0.712016 |
| Health Soc Behav | 0.467444 |
|
CLICK HERE |
| 11928 |
Centers for Disease Control and Prevention |
Html |
null |
Update: CDC Ebola Response and Interim Guidance |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
|
|
CLICK HERE |
| 12039 |
Centers for Disease Control and Prevention |
Html |
en |
CDC Releases New Reports on Ebola Cases in Liberia and theUnited States | CDC Online Newsroom |
CDC Releases New Reports on Ebola Cases in Liberia and the United States |
| Mortality Weekly Report | 0.392091 |
| overall Ebola response | 0.566257 |
| Ebola infection | 0.585674 |
| Ebola disease | 0.535842 |
| Ebola symptoms | 0.529119 |
| public health authorities | 0.388336 |
| recent positive trend | 0.384694 |
| recent key efforts | 0.379657 |
| newly affected areas | 0.384786 |
| newly reported cases | 0.391974 |
| Director Tom Frieden | 0.461618 |
| health facilities | 0.398719 |
| CDC Director Tom | 0.459744 |
| international Ebola response | 0.581569 |
| forty-seven health care | 0.398655 |
| capital city | 0.393193 |
| past Ebola outbreaks | 0.576857 |
| medical care workers | 0.396989 |
| infection control training | 0.383373 |
| new cases | 0.492273 |
| Ebola | 0.943387 |
| domestically acquired Ebola | 0.55861 |
| Ebola epidemic | 0.732843 |
| Ebola Treatment Units | 0.590555 |
| United States | 0.382381 |
|
| U.S. government | 0.38231 |
| infection control | 0.456117 |
| affected areas | 0.386064 |
| Ebola cases | 0.826925 |
| Ebola Treatment Units– | 0.580506 |
| Liberia’s Ministry | 0.37826 |
| Ebola Virus Disease | 0.638131 |
| response containment efforts | 0.384706 |
| health care workers | 0.938337 |
| Infection control specialists | 0.381244 |
| new Ebola cases | 0.700092 |
| densely populated capital | 0.388273 |
| non-ETU health facilities | 0.392539 |
| CDC disease detectives | 0.384927 |
| infection control infrastructure | 0.379245 |
| infection control protocols | 0.383262 |
| Liberia’s Ebola | 0.594544 |
| Lofa County | 0.444251 |
| Ebola response | 0.643479 |
| Montserrado County | 0.387751 |
| percent decline | 0.408757 |
| Ebola Treatment | 0.60068 |
| Ebola containment strategy | 0.580784 |
| West Africa | 0.550136 |
|
CLICK HERE |
| 13296 |
Centers for Disease Control and Prevention |
Html |
en |
Occupational Fatalities During the Oil and Gas Boom - UnitedStates, 2003-2013 |
Krystal L. Mason, ScM1; Kyla D. Retzer, MPH1; Ryan Hill, MPH1; Jennifer M. |
| extraction industry employees | 0.41302 |
| gas industry employers | 0.391531 |
| occupational fatality rate | 0.586488 |
| Shale Transportation Safety | 0.38705 |
| automated technologies | 0.401218 |
| Gas Extraction Sector | 0.400266 |
| well-servicing companies | 0.460653 |
| average annual decrease | 0.38587 |
| transportation events | 0.402675 |
| transportation event data | 0.382565 |
| annual occupational fatality | 0.457311 |
| occupational fatalities | 0.396471 |
| gas extraction industry | 0.96835 |
| transportation safety policies | 0.400998 |
| frequent fatal events | 0.533261 |
| gas extraction workers | 0.423629 |
| transportation fatalities | 0.397031 |
| transportation safety policy | 0.384661 |
| event type | 0.402819 |
| Fatal Occupational Injuries | 0.493328 |
| fatality rates | 0.447793 |
| average occupational fatality | 0.440035 |
| gas operators | 0.38287 |
| fatal events | 0.536103 |
| drilling rigs | 0.448273 |
|
| work-related fatalities | 0.387464 |
| gas workers | 0.383087 |
| Occupational Injuries Program | 0.388625 |
| fatal event numbers | 0.403041 |
| transportation incidents | 0.384307 |
| oil | 0.461213 |
| active drilling rigs | 0.423726 |
| occupational fatal injury | 0.43849 |
| workers | 0.47289 |
| land transportation safety | 0.446882 |
| National Occupational Research | 0.38842 |
| transportation-related fatality rate | 0.427591 |
| fatal work injuries | 0.48715 |
| incident rate ratio | 0.389137 |
| highest fatality rate | 0.493844 |
| 11-year period | 0.432848 |
| occupational safety | 0.449215 |
| worker fatalities | 0.410285 |
| fatality rate | 0.7786 |
| overall fatality rates | 0.420502 |
| fatal injuries | 0.44232 |
| American Industry Classification | 0.39275 |
| fatalities | 0.423024 |
| Occupational Injury | 0.389765 |
|
CLICK HERE |
| 14077 |
Centers for Disease Control and Prevention |
Html |
en |
Smokers' Stories: Five Reasons to Quit | CDC Features |
Meet five real people in CDC's graphic new ads. They want to be your reason to quit smoking for good. |
| powerful effects | 0.450384 |
| Tips legacy | 0.489694 |
| tips campaign | 0.970082 |
| throat cancer | 0.470113 |
| periodontal disease | 0.460295 |
| lung cancer | 0.454301 |
| heart races | 0.452702 |
| personal stories | 0.464675 |
| quit plan | 0.576535 |
| Smokefree App | 0.505992 |
| ads | 0.520227 |
| Emotionally evocative tobacco | 0.564081 |
| smoking cessation | 0.582199 |
| real people | 0.473734 |
| program sends encouragement | 0.550801 |
| Tips ads | 0.491928 |
| Hard-hitting media campaigns | 0.562286 |
| obstructive pulmonary disease | 0.591099 |
| Spanish speakers | 0.450167 |
| heart attack | 0.452922 |
| health consequences | 0.447568 |
| smokers | 0.676669 |
| slightest movement | 0.465642 |
| Smokersâ„¢ campaign | 0.50779 |
| campaign participants | 0.495093 |
|
| cigarette smoking | 0.575796 |
| smoking | 0.784152 |
| education media campaigns | 0.556837 |
| Online help | 0.451533 |
| free help | 0.466249 |
| panel discussion | 0.458154 |
| public awareness | 0.457545 |
| free app | 0.448287 |
| Smokefree TXT | 0.498748 |
| Terrie Hall | 0.532928 |
| social media | 0.600236 |
| media campaigns | 0.573979 |
| compelling messages | 0.472563 |
| cable TV | 0.463769 |
| smokefree progress | 0.485809 |
| partner groups | 0.458483 |
| free assistance | 0.451887 |
| scary commercials | 0.451201 |
| campaign website | 0.46609 |
| previous years— | 0.461742 |
| smoking patterns | 0.526589 |
| social media comment | 0.565768 |
| Smokers web page | 0.651611 |
| Tips participants | 0.477937 |
|
CLICK HERE |
| 15937 |
Centers for Disease Control and Prevention |
Html |
en |
Guidance for Travel and Testing of Pregnant Women and Women of Reproductive Age for Zika Virus Infection Related to the Investigation for Local Mosquito-borne Zika Virus Transmission in Miami-Dade and Broward Counties, Florida |
Health Alert Network (HAN). Provided by the Centers for Disease Control and Prevention (CDC). |
| antibody test results | 0.339051 |
| mosquito-borne Zika virus | 0.411911 |
| limited risk | 0.40119 |
| symptom onset | 0.386624 |
| Zika virus | 0.922335 |
| maximal two-week incubation | 0.341891 |
| prenatal care visit | 0.338262 |
| routine obstetric care | 0.335453 |
| possible Zika virus | 0.542384 |
| pregnant women | 0.555588 |
| active Zika virus | 0.646885 |
| health care providers | 0.335165 |
| symptomatic pregnant women | 0.397239 |
| ongoing investigation | 0.324288 |
| area | 0.358854 |
| Zika virus exposure | 0.536812 |
| urine rRT-PCR testing | 0.336375 |
| Zika virus disease | 0.551393 |
| antibody testing | 0.324447 |
| symptoms | 0.340704 |
| clinical illness | 0.333408 |
| Zika virus transmission | 0.7027 |
| asymptomatic pregnant women | 0.39747 |
| PM ET | 0.323249 |
| pregnant sex partner | 0.355036 |
|
| non-essential travel | 0.322248 |
| CDC Health Alert | 0.346202 |
| 12 weeks after symptom onset | 0.340418 |
| infected Aedes species | 0.336918 |
| adverse pregnancy outcomes | 0.336164 |
| United States | 0.322392 |
| urine Zika virus | 0.39099 |
| antibody test result | 0.36329 |
| Zika virus infection | 0.532798 |
| Zika virus immunoglobulin | 0.390697 |
| IgM antibody test | 0.445304 |
| potential exposure | 0.336291 |
| acute onset | 0.324764 |
| Florida Department | 0.323776 |
| ongoing risk | 0.416309 |
| guidance (http://www.cdc.gov/mmwr/volumes/65/wr/mm6529e1.htm?s_cid=mm6529e1_e). | 0.394766 |
| rRT-PCR testing | 0.357311 |
| reproductive age | 0.322571 |
| severe fetal brain | 0.336322 |
| possible exposure | 0.474506 |
| earliest time | 0.321952 |
| FL DOH | 0.501989 |
| immediate rRT-PCR testing | 0.336495 |
| Zika virus IgM | 0.400558 |
|
CLICK HERE |