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Centers for Disease Control and Prevention |
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Connecticut Activities to Prevent HAIs |
null |
| MPEG | 0.341743 |
| funding | 0.617737 |
| prevention activities | 0.483598 |
| monthly update | 0.728462 |
| Program | 0.337964 |
| email address | 0.899897 |
| Infection Control Assessment | 0.688298 |
| different file formats | 0.648481 |
| Affordable Care Act | 0.906862 |
| Epidemiology | 0.409296 |
| recent work | 0.709014 |
|
| HAI infrastructure | 0.50878 |
| conduct surveillance | 0.496763 |
| Infection Prevention | 0.511984 |
| infectious disease | 0.753136 |
| PPT | 0.353886 |
| Laboratory Capacity | 0.73025 |
| Connecticut | 0.335673 |
| Infectious Diseases | 0.753458 |
| DOC | 0.339656 |
| page | 0.379403 |
| ELC | 0.445311 |
|
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Centers for Disease Control and Prevention |
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General Recommendations on Immunization |
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. |
| injectable live-virus vaccine | 0.535132 |
| vaccine injury compensation | 0.553428 |
| live vaccine | 0.53816 |
| polysaccharide vaccines | 0.53762 |
| National Vaccine Injury | 0.53588 |
| subunit vaccines | 0.52927 |
| vaccine administration | 0.540851 |
| DTaP-hepatitis B-IPV vaccine | 0.53975 |
| yellow fever vaccine | 0.566279 |
| pneumococcal conjugate vaccine | 0.531122 |
| varicella vaccine | 0.640897 |
| influenza vaccine | 0.586652 |
| live vaccines | 0.590017 |
| different inactivated vaccine | 0.530712 |
| conjugate vaccines | 0.546426 |
| varicella vaccines | 0.541279 |
| vaccine risk-benefit screening | 0.535213 |
| dose | 0.622946 |
| inactivated influenza vaccine | 0.547058 |
| Ty21a typhoid vaccine | 0.555963 |
| vaccination providers | 0.58567 |
| hepatitis b vaccine | 0.539703 |
| Hib vaccines | 0.530294 |
| pneumococcal polysaccharide vaccine | 0.530725 |
|
| vaccination | 0.768542 |
| Unconjugated polysaccharide vaccines | 0.527979 |
| doses | 0.590945 |
| varicella vaccine failure | 0.533946 |
| vaccines | 0.962912 |
| certain live vaccines | 0.537755 |
| health-care providers | 0.530748 |
| vaccine doses | 0.562803 |
| combination vaccines | 0.731128 |
| polysaccharide conjugate vaccines | 0.530769 |
| vaccine dose | 0.590039 |
| yellow fever vaccines | 0.581061 |
| measles vaccine | 0.528716 |
| equivalent component vaccines | 0.535461 |
| combination vaccine | 0.598208 |
| vaccine dose volume | 0.555677 |
| Hib conjugate vaccines | 0.528717 |
| Hib vaccine | 0.528189 |
| conjugate vaccine | 0.534545 |
| live virus vaccines | 0.527637 |
| certain vaccines | 0.575751 |
| minimum age | 0.528777 |
| ACIP Combination Vaccines | 0.568278 |
| vaccine | 0.968696 |
|
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Centers for Disease Control and Prevention |
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Race/Ethnicity, Adults 18 Years and Older - Estimates from the Behavioral Risk Factor Surveillance System (BRFSS), National Immunization Survey (NIS), and the National 2009 H1N1 Flu Survey (NHFS) |
Recent Influenza Vaccination Trends across Influenza Seasons, Race/Ethnicity, Adults 18 Years and Older - CDC |
| Native Hawaiian | 0.358813 |
| Pacific Islander | 0.398593 |
| data | 0.343688 |
| report Final estimates | 0.448983 |
| United States | 0.212231 |
| season estimates | 0.209412 |
| influenza vaccination coverage | 0.614367 |
| methods | 0.205669 |
| U.S. civilian population | 0.369208 |
| Risk Factor Surveillance | 0.403899 |
| recent influenza seasons | 0.349088 |
| seasonal influenza vaccination | 0.956467 |
| Monovalent Vaccination Coverage | 0.455967 |
| vaccination coverage | 0.655601 |
| Alaska Native | 0.357349 |
|
| Excludes U.S. territories | 0.404922 |
| Additional estimates | 0.214424 |
| estimates | 0.61845 |
| high risk conditions | 0.22595 |
| National Immunization Survey | 0.382246 |
| vaccination periods | 0.251971 |
| influenza season | 0.409268 |
| H1N1 Flu Survey | 0.371609 |
| BRFSS adult estimates | 0.307044 |
| Coverage estimates | 0.234737 |
| Confidence Interval | 0.219826 |
| Data Source | 0.307869 |
| vaccination recommendations | 0.256424 |
| vaccination data | 0.287358 |
| national weighted estimates | 0.340305 |
|
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Centers for Disease Control and Prevention |
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Global Health - Nigeria - Our Progress in Nigeria |
CDC partners in South Africa with government and parastatal agencies, private institutions, universities and non-governmental organizations to improve the country’s public health foundation, to prevent transmission of HIV, to provide care and treatment for those who are already infected with HIV, and to strengthen laboratory capacity.
|
| endorsement | 0.544259 |
| Hassan Mohammad | 0.736724 |
| refugees | 0.535615 |
| spina bifida | 0.919352 |
| smooth running | 0.725451 |
| HIV Testing | 0.69114 |
| children | 0.533023 |
| long distances | 0.702356 |
| case | 0.535856 |
| government agencies | 0.726988 |
| public health officials | 0.882996 |
| healthcare facilities | 0.723749 |
| Hanifat Adisa | 0.713368 |
| donkeys | 0.533066 |
| Working | 0.535108 |
| team lead | 0.694213 |
| HIV/AIDS activities | 0.681519 |
| success | 0.535266 |
| Tsafe General Hospital | 0.855658 |
| different entities | 0.725321 |
| job | 0.535287 |
| dozens | 0.537652 |
| community health extension | 0.862691 |
| United States | 0.686413 |
| CDC Nigeria | 0.880333 |
|
| stakeholders | 0.547001 |
| Content source | 0.696151 |
| HHS | 0.547857 |
| birth defect | 0.706913 |
| baby Mariam | 0.702714 |
| Nigeria | 0.930031 |
| primary health center | 0.872628 |
| village | 0.532644 |
| daily routine | 0.698524 |
| saving lives | 0.723325 |
| 18-month-old girl | 0.704698 |
| stories | 0.539297 |
| Healthcare services | 0.724941 |
| rugged roads | 0.696634 |
| bowel | 0.537681 |
| spine | 0.533615 |
| Counseling Unit | 0.693789 |
| Somalia border | 0.695235 |
| non-federal site | 0.707816 |
| partners | 0.602677 |
| collaboration | 0.577024 |
| progress | 0.531239 |
| largest refugee camp | 0.854526 |
| family | 0.532674 |
|
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Centers for Disease Control and Prevention |
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Physicians are a leading source of prescription opioids for the highest-risk users | Press Release | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| convenient way | 0.241352 |
| nonmedical reasons | 0.293849 |
| visit www.cdc.gov/homeandrecreationalsafety/overdose | 0.224427 |
| Past-Year Nonmedical | 0.319744 |
| research letter | 0.260526 |
| drug dealer | 0.243895 |
| state agencies | 0.227974 |
| prescription drugs | 0.486841 |
| federal government | 0.235168 |
| overdose deaths | 0.641042 |
| prescription opioids | 0.570862 |
| average user | 0.234616 |
| Health care providers | 0.377849 |
| Opioid analgesic-related overdose | 0.672354 |
| CDC Director Tom | 0.406029 |
| 5-year period | 0.236792 |
| friends | 0.206771 |
| state prescription drug | 0.538036 |
| take-back events | 0.243044 |
| highest risk | 0.673196 |
| past records | 0.247441 |
| high-risk opioid | 0.447646 |
| opioid overdose death | 0.697425 |
| opioid prescribing rates | 0.536891 |
| Vanderbilt University | 0.231105 |
|
| United States | 0.384951 |
| Association Internal Medicine | 0.402481 |
| abuse risk | 0.264658 |
| prevention efforts | 0.389334 |
| Substance Abuse | 0.238253 |
| percent | 0.258813 |
| high dosages | 0.232685 |
| Patients Prescribed Opioids | 0.517953 |
| prescription drug overdose | 0.612925 |
| JAMA Internal Medicine | 0.634132 |
| monitoring programs | 0.247281 |
| multiple prescribers | 0.237514 |
| morphine milligram equivalents | 0.353953 |
| National Survey | 0.236729 |
| in-depth investigation | 0.226909 |
| Prescription Opioid Pain | 0.807772 |
| Tennessee Department | 0.234544 |
| prescription opioid drugs | 0.919668 |
| unused medications | 0.240507 |
| CDC researchers | 0.295015 |
| frequent nonmedical users | 0.400644 |
| highest risk users | 0.389137 |
| new analysis | 0.240349 |
| major sources | 0.234978 |
|
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Centers for Disease Control and Prevention |
Html |
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Lung Cancer Prevention |
You can help lower your risk of lung cancer in the following ways. |
| radon | 0.413854 |
| people’s cigarettes | 0.521095 |
| list Skip | 0.726083 |
| United States | 0.519252 |
| Health | 0.334523 |
| important thing | 0.525324 |
| cigars | 0.352412 |
| work | 0.337554 |
| page options Skip | 0.921577 |
| U.S. Environmental Protection | 0.660584 |
|
| Cigarette smoking | 0.554044 |
| navigation Skip | 0.729169 |
| home | 0.371849 |
| lung cancer deaths | 0.732441 |
| car | 0.336791 |
| safety guidelines | 0.500309 |
| carcinogens—things | 0.334214 |
| secondhand smoke | 0.854926 |
| workplace | 0.338924 |
| workers | 0.33427 |
|
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Centers for Disease Control and Prevention |
Html |
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NCIRD | DBD Bulletin Fall 2013 | Communications |
Division of Bacterial Diseases Bulletin Fall |
| Health Grand Rounds | 0.907251 |
| one-week observance | 0.783721 |
| Tdap shot | 0.753415 |
| RDB laboratorian Claressa | 0.911457 |
| antibiotic use campaigns | 0.8121 |
| children | 0.629694 |
| Twitter chat | 0.77357 |
| Smart About Antibiotics. | 0.763854 |
| patient characteristics | 0.759592 |
| unusual artifacts | 0.74526 |
| guidelines | 0.64551 |
| new ELISA website | 0.954368 |
| historical reasons | 0.782616 |
| validation documents | 0.746955 |
| work | 0.627635 |
| iTunes App Store | 0.983459 |
| CDC David J. | 0.932774 |
| archived presentation | 0.757178 |
| standalone application | 0.761728 |
| Pregnant women | 0.757082 |
| new website | 0.760355 |
| Content | 0.630009 |
| page | 0.629987 |
| ELISA readers | 0.818631 |
| healthcare providers | 0.766134 |
|
| best ways | 0.754294 |
| program modules | 0.751206 |
| different models | 0.750592 |
| for-profit partners | 0.779979 |
| disease outbreak | 0.770813 |
| antibiotic resistance | 0.824413 |
| Satellite Media Tour | 0.911097 |
| Lauri Hicks | 0.782445 |
| original Legionnaires | 0.757187 |
| Group B Strep | 0.945745 |
| scenario-specific guidance | 0.754755 |
| new CDC pertussis | 0.974376 |
| annual effort | 0.767111 |
| Travel Channel | 0.746816 |
| inpatient | 0.627929 |
| newborns | 0.630029 |
| Sencer Museum | 0.772775 |
| Perinatal GBS Disease | 0.916854 |
| Smart campaign | 0.77067 |
| whooping cough | 0.925087 |
| non-profit partners | 0.771318 |
| policy makers | 0.765963 |
| user input | 0.756212 |
| information | 0.705698 |
|
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Centers for Disease Control and Prevention |
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Evite las sustancias nocivas |
En honor al Mes Nacional de Prevención de los Defectos de Nacimiento, haga un PACTO para estar sana —física y mentalmente— antes de quedar embarazada y durante el embarazo para aumentar sus probabilidades de tener un bebé sano. |
| Show Your Love | 0.531849 |
| alimentos ayuda | 0.389853 |
| Archivo Apple Quicktime | 0.52141 |
| Archivo RealPlayer | 0.396995 |
| Archivo Microsoft PowerPoint | 0.543412 |
| Archivo Adobe PDF | 0.516033 |
| mejores prácticas | 0.411184 |
| Archivo Microsoft | 0.902649 |
| Archivo Microsoft Word | 0.540248 |
|
| mejores maneras | 0.407322 |
| Archivo Texto | 0.386455 |
| Mes Nacional | 0.723999 |
| determinadas exposiciones | 0.428512 |
| Archivo Zip Comprimido | 0.51884 |
| Archivo Microsoft Excel | 0.515355 |
| Salud Ocupacional | 0.431218 |
| SMSL).* Además | 0.409049 |
|
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Centers for Disease Control and Prevention |
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Marburg Hemorrhagic Fever (Marburg HF) | CDC |
Marburg hemorrhagic fever (Marburg HF) is a rare but severe hemorrhagic fever which affects both humans and non-human primates. |
| African fruit bat | 0.715132 |
| Belgrade | 0.532924 |
| Frankfurt | 0.530787 |
| study | 0.520445 |
| obvious signs | 0.628124 |
| Marburg virus | 0.994302 |
| laboratory workers | 0.630713 |
| Marburg… | 0.520868 |
| research | 0.521483 |
| Yugoslavia | 0.532514 |
| African green monkeys | 0.729751 |
| Rousettus aegyptiacus | 0.638289 |
| Primates | 0.528579 |
| Serbia | 0.531907 |
| medical personnel | 0.635581 |
| deaths | 0.530121 |
|
| illness | 0.52179 |
| family members | 0.630094 |
| Fruit bats | 0.62022 |
| tissues | 0.529092 |
| hemorrhagic fever | 0.658133 |
| high mortality | 0.622825 |
| reservoir host | 0.621 |
| additional case | 0.62948 |
| highest risk | 0.619061 |
| species | 0.520355 |
| past outbreaks | 0.651667 |
| outbreak chronology | 0.623201 |
| laboratories | 0.524097 |
| humans | 0.521947 |
| Thirty-one people | 0.649535 |
|
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Information About Preventing Infections for Cancer Patients and Caregivers |
Resources to help cancer patients avoid health care-associated infections while they are receiving chemotherapy. |
| medical treatment | 0.456918 |
| viruses | 0.275765 |
| tissue damage | 0.475065 |
| patients dies | 0.467847 |
| Common viral infections | 0.923278 |
| white blood | 0.798593 |
| United States | 0.496803 |
| phone numbers | 0.418453 |
| cancer patients | 0.802629 |
|
| body | 0.40148 |
| chemotherapy | 0.298921 |
| infection-fighting white blood | 0.682809 |
| doctor | 0.252709 |
| blood cell count | 0.80987 |
| life-threatening response | 0.442588 |
| Common bacterial infections | 0.941023 |
| ear infections | 0.661424 |
|
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