| 4776 |
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Pertussis Fast Facts |
Facts about Pertussis |
| treatment | 0.430967 |
| Approximately half | 0.552245 |
| CDC | 0.496419 |
| United States | 0.730104 |
| adults | 0.463595 |
| babies | 0.582293 |
| teens | 0.46517 |
| air | 0.434106 |
| effective way | 0.550829 |
| pertussis | 0.916679 |
| fit | 0.434222 |
| pregnant women | 0.55048 |
| coughing | 0.446538 |
| Clinicians | 0.431539 |
| children | 0.463729 |
| infected people | 0.533585 |
| Tdap | 0.464042 |
| olds | 0.431156 |
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| hospital | 0.430935 |
| Similar trends | 0.536394 |
| deaths | 0.430877 |
| illness | 0.430692 |
| cases | 0.586711 |
| disease | 0.504047 |
| preteens | 0.440471 |
| pertussis infection | 0.748748 |
| increase | 0.486621 |
| people | 0.548832 |
| fits | 0.437062 |
| whooping cough | 0.590453 |
| recent peak | 0.531047 |
| public health experts | 0.645014 |
| recent publication | 0.532915 |
| ages | 0.431452 |
| largest number | 0.529156 |
| antibiotics | 0.433225 |
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| 5777 |
Centers for Disease Control and Prevention |
Html |
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Tetrachloronaphthalene - NIOSH Pocket Guide to Chemical Hazards |
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| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
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| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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| 8016 |
Centers for Disease Control and Prevention |
Html |
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Norovirus Outbreaks - Press Release |
[Title] |
| country | 0.320966 |
| standard prevention | 0.394154 |
| Dr. Hall | 0.392563 |
| Mortality Weekly Report | 0.517895 |
| cooking shellfish | 0.393958 |
| state partners | 0.399211 |
| CaliciNet | 0.339364 |
| Disease Control | 0.415206 |
| direct contact | 0.404495 |
| new strains | 0.572039 |
| potential increases | 0.398212 |
| vomiting | 0.320939 |
| Dr. Jan Vinjé | 0.479204 |
| health professionals | 0.468719 |
| new strain | 0.79151 |
| United States | 0.965027 |
| New norovirus strains | 0.539318 |
| control outbreaks | 0.484527 |
| countries | 0.32095 |
| water | 0.338006 |
| diarrhea | 0.320728 |
| GII.4 Sydney strain | 0.727012 |
| highest risk | 0.403235 |
| acute gastroenteritis | 0.502714 |
| HUMAN SERVICES | 0.397481 |
|
| outbreaks | 0.620199 |
| Web site | 0.398096 |
| Early identification | 0.398811 |
| Centers | 0.321141 |
| Young children | 0.405377 |
| best ways | 0.396489 |
| study | 0.321192 |
| norovirus outbreaks | 0.547867 |
| proportion | 0.321993 |
| Viral Diseases | 0.408203 |
| cause | 0.336134 |
| Norovirus infections | 0.420538 |
| percent | 0.340671 |
| Dr. Aron Hall | 0.495619 |
| elderly adults | 0.403731 |
| predominant GII.4 strain | 0.568947 |
| infected people | 0.402864 |
| U.S. DEPARTMENT | 0.397588 |
| CDC researchers | 0.425933 |
| Morbidity | 0.324795 |
| control measures | 0.392041 |
| new GII.4 Sydney | 0.486418 |
| severe illness | 0.502246 |
| past decade | 0.400526 |
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| 10052 |
Centers for Disease Control and Prevention |
Html |
en |
What Is Skin Cancer? |
Skin cancer is the most common form of cancer in the United States. |
| squamous cell carcinomas—are | 0.348433 |
| skin cancer | 0.473026 |
| invisible kind | 0.215504 |
| UV rays | 0.966203 |
| Basal cell carcinoma | 0.364803 |
| United States | 0.326294 |
| common skin cancer | 0.331182 |
| skin | 0.500689 |
| squamous layer | 0.281734 |
| UVC rays | 0.44009 |
| common types | 0.214954 |
| common form | 0.218779 |
| skin cancer—basal cell | 0.337609 |
| connective tissue | 0.215451 |
| UVA rays | 0.841593 |
| larger diagram | 0.225276 |
| eye conditions | 0.204005 |
|
| damage DNA | 0.203806 |
| UV Index | 0.445236 |
| basal cell layer | 0.374346 |
| account clouds | 0.208989 |
| National Weather Service | 0.294438 |
| higher risk | 0.202954 |
| Squamous cell carcinoma | 0.379761 |
| ozone layer | 0.332792 |
| local conditions | 0.20483 |
| skin cells | 0.229426 |
| higher levels | 0.203063 |
| skin texture | 0.223434 |
| human skin | 0.229708 |
| spending time | 0.212953 |
| next-day basis | 0.214233 |
| UVB rays | 0.563819 |
| Environmental Protection Agency | 0.294184 |
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| 11995 |
Centers for Disease Control and Prevention |
Html |
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Preventing Chronic Disease | Dentists' Self-Perceived Rolein Offering Tobacco Cessation Services: Results From a NationallyRepresentative Survey, United States, 2010-2011 - CDC |
Dental visits represent an opportunity to identify and help patients quit smoking, yet dental settings remain an untapped venue for treatment of tobacco dependence. The purpose of this analysis was to assess factors that may influence patterns of tobacco-use–related practice among a national sample of dental providers. |
| tobacco screening | 0.493145 |
| National Tobacco Intervention | 0.481927 |
| dental provider practice | 0.487458 |
| cessation prescription | 0.505035 |
| D. Tobacco attitudes | 0.486921 |
| TDT knowledge | 0.481862 |
| cessation treatment guidelines | 0.520761 |
| cessation assistance guidelines | 0.511512 |
| cessation counseling services | 0.501652 |
| smoking cessation assistance | 0.510032 |
| practice patterns | 0.546753 |
| tobacco treatment knowledge | 0.492648 |
| tobacco cessation | 0.826417 |
| currently providing tobacco | 0.493151 |
| dental hygienists | 0.500499 |
| reimbursement | 0.493801 |
| dental care settings | 0.493099 |
| dentists | 0.63085 |
| dental settings | 0.485748 |
| cessation intervention delivery | 0.502622 |
| cessation medication | 0.483647 |
| positive attitudes | 0.539443 |
| cessation counseling rates | 0.522123 |
| tobacco dependence treatment | 0.508927 |
|
| dentists reimbursement | 0.485696 |
| tobacco cessation activities | 0.559592 |
| dental practices | 0.485708 |
| tobacco cessation assistance | 0.690183 |
| tobacco use treatment | 0.551224 |
| tobacco dependence | 0.535657 |
| tobacco assistance | 0.480334 |
| public health | 0.595211 |
| health care | 0.502279 |
| tobacco use prevention | 0.491472 |
| New York | 0.545697 |
| TDT | 0.542061 |
| tobacco use question | 0.490549 |
| public health dentists | 0.506199 |
| primary care dentists | 0.497719 |
| self-reported TDT knowledge | 0.480643 |
| cessation pharmacotherapy | 0.509104 |
| tobacco-use cessation | 0.482114 |
| cessation pharmacotherapy prescriptions | 0.508938 |
| practice-based research network | 0.485254 |
| tobacco cessation counseling | 0.597474 |
| et al | 0.522068 |
| dental providers | 0.520617 |
| cessation assistance | 0.920979 |
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Centers for Disease Control and Prevention |
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Preguntas y respuestas sobre la transmisión | Enfermedad delÉbola |
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| blood products | 0.262972 |
| CDC | 0.296524 |
| recovery. Ebola virus | 0.567251 |
| longer term effects | 0.2687 |
| Ebola survivors | 0.609056 |
| Ebola virus | 0.90621 |
| direct contact | 0.287454 |
| various body fluids | 0.371596 |
| specific body fluids | 0.308442 |
| invasive surgical procedures | 0.27052 |
| previous outbreaks | 0.240535 |
| male survivors | 0.246066 |
| measles virus | 0.330479 |
| family members | 0.242655 |
| viruses | 0.24286 |
| viability testing | 0.277229 |
| World Health Organization | 0.269148 |
| specific fluids | 0.269131 |
| body fluids | 0.640387 |
| good supportive care | 0.275774 |
| blood establishments | 0.242593 |
| blood safety | 0.263306 |
| Ebola survivors. | 0.438015 |
| open cut | 0.24356 |
| semen | 0.305756 |
|
| household bleach | 0.240678 |
| United States | 0.265664 |
| Protein Therapeutics Association | 0.264613 |
| Blood Banks | 0.241224 |
| possible risk | 0.270316 |
| immune response | 0.243655 |
| different species | 0.241817 |
| previous Ebola outbreaks | 0.496367 |
| female Ebola survivors | 0.475498 |
| infected blood | 0.257306 |
| lipid-enveloped virus | 0.307327 |
| breast milk | 0.324929 |
| transfusion-transmitted Ebola | 0.42599 |
| hospital-grade disinfectants | 0.242979 |
| blood | 0.282224 |
| infected person | 0.246904 |
| spinal column fluid | 0.412589 |
| viral clearance steps | 0.265519 |
| Ebola patient | 0.49314 |
| Virus Persistence Study | 0.343482 |
| Sierra Leone Ministry | 0.266965 |
| large body | 0.247519 |
| time | 0.24438 |
| male Ebola survivors | 0.538181 |
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| 12098 |
Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Blood Glucose Screening RatesAmong Minnesota Adults With Hypertension, Behavioral Risk FactorSurveillance System, 2011 - CDC |
Many US adults have multiple chronic conditions, and hypertension and diabetes are among the most common dyads. Diabetes and prediabetes prevalence are increasing, and both conditions negatively affect cardiovascular health. Early diagnosis and treatment of diabetes and prediabetes can benefit people with hypertension by preventing cardiovascular complications. |
| data | 0.215798 |
| blood glucose testing | 0.322703 |
| self-reported glucose screening | 0.28911 |
| self-reported diabetes diagnosis | 0.255218 |
| diagnosed hypertension | 0.209226 |
| blood glucose screening | 0.915469 |
| adults | 0.554219 |
| hypertension management plans | 0.211022 |
| self-reported screening rates | 0.23649 |
| self-reported diabetes | 0.277757 |
| multiple chronic conditions | 0.230605 |
| standardized clinical measures | 0.225301 |
| 3-year glucose screening | 0.248774 |
| self-reported hypertension | 0.258755 |
| Minnesota adults | 0.335101 |
| Preventive Services Task | 0.2432 |
| health care access | 0.231648 |
| USPSTF screening guidelines | 0.229266 |
| different screening criteria | 0.217064 |
| recent screening | 0.204541 |
| body mass index | 0.200767 |
|
| diabetes screening rates | 0.328897 |
| health | 0.316082 |
| Services Task Force | 0.247407 |
| Diabetes status | 0.201369 |
| hypertension diagnosis | 0.234315 |
| Affordable Care Act | 0.222261 |
| lower screening rates | 0.211084 |
| glucose screening rates | 0.378418 |
| diabetes diagnosis | 0.260917 |
| lower self-reported screening | 0.228657 |
| college degree | 0.217182 |
| diabetes management | 0.20391 |
| health literacy | 0.239509 |
| coronary heart disease | 0.280693 |
| American Diabetes Association | 0.250104 |
| diabetes risk factors | 0.215968 |
| hypertension management | 0.214813 |
| provider-ordered screening rates | 0.211541 |
| diabetes | 0.579741 |
| hypertension | 0.540214 |
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| 13531 |
Centers for Disease Control and Prevention |
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CDC Grand Rounds: Getting Smart About Antibiotics |
This is another in a series of occasional MMWR reports titled CDC Grand Rounds. These reports are based on grand rounds presentations at CDC on high-profile issues in public health science, practice, and policy. Information about CDC Grand Rounds is available at http://www. |
| antibiotic prescription | 0.649111 |
| direct health care | 0.285887 |
| patient care settings | 0.256093 |
| broad-spectrum antibiotics | 0.317214 |
| Antibiotic stewardship interventions | 0.55277 |
| appropriate prescribing practices | 0.262146 |
| health care delivery | 0.264759 |
| new antibiotic development | 0.627121 |
| Health care providers | 0.354974 |
| health care professionals | 0.275883 |
| antibiotic prescription rates | 0.532253 |
| antibiotic treatment | 0.607536 |
| antibiotic overuse | 0.486372 |
| antibiotic prescribing | 0.924002 |
| health care quality | 0.264285 |
| health care costs | 0.448117 |
| pediatric ambulatory care | 0.258993 |
| clinical practice guidelines | 0.30782 |
| adverse drug reactions | 0.307873 |
| antibiotic use messages | 0.486672 |
| antibiotic selection | 0.515218 |
| U.S. ambulatory care | 0.257601 |
| health care settings | 0.36625 |
| antibiotic prescribing data | 0.579582 |
| antibiotics | 0.340563 |
|
| highest prescribing states | 0.278569 |
| antibiotic therapy | 0.603156 |
| Clostridium difficile infections | 0.274609 |
| inappropriate prescribing | 0.255596 |
| United States | 0.402247 |
| long-term care settings | 0.255262 |
| Ambulatory Medical Care | 0.325393 |
| excess health care | 0.297876 |
| respiratory tract infections | 0.314762 |
| ambulatory care visits | 0.455498 |
| antibiotic resistance | 0.967377 |
| C. difficile infection | 0.307153 |
| antibiotic stewardship practices | 0.536337 |
| higher health care | 0.294015 |
| antibiotic prescriptions | 0.539699 |
| ambulatory care interventions | 0.27794 |
| acute respiratory tract | 0.285719 |
| health care | 0.820406 |
| promotes antibiotic resistance | 0.646931 |
| antibiotic use data | 0.532169 |
| antibiotic stewardship | 0.636861 |
| appropriate antibiotic prescribing | 0.598514 |
| Medical Care Survey | 0.318953 |
| excess antibiotic prescribing | 0.592859 |
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Centers for Disease Control and Prevention |
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Influenza Treatments |
The flu is a contagious respiratory disease that can cause mild to severe illness, and can even lead to death - CDC |
| pills | 0.514892 |
| health care provider | 0.625037 |
| tissue | 0.526446 |
| inhaled powder | 0.573226 |
| treatments | 0.512075 |
| doctor’s instructions | 0.562498 |
| season | 0.512268 |
| high risk group | 0.625766 |
| high-risk health condition | 0.61609 |
| influenza illness | 0.597109 |
| flu-like illness | 0.585581 |
| germs | 0.5141 |
| prescription medicines | 0.571566 |
| antiviral medication | 0.666534 |
| flu illness | 0.677475 |
| flu antiviral drugs | 0.828298 |
| water | 0.521762 |
| trash | 0.512589 |
| Studies | 0.512101 |
| otherwise-healthy people | 0.566878 |
| high risk | 0.636949 |
| limit contact | 0.5632 |
| Important Information | 0.56161 |
| antibiotics | 0.514817 |
| soap | 0.523187 |
|
| flu symptoms | 0.671501 |
| necessities | 0.514205 |
| alcohol-based hand rub | 0.616204 |
| flu complications | 0.717278 |
| prescription medications | 0.578594 |
| example | 0.525837 |
| pneumonia | 0.51468 |
| mild illness | 0.596711 |
| hospital | 0.512461 |
| nose | 0.512336 |
| cases | 0.514045 |
| greater chance | 0.567373 |
| antiviral drugs | 0.994252 |
| sick person | 0.6225 |
| medical care | 0.702735 |
| people | 0.617556 |
| flu | 0.871534 |
| fever-reducing medicine | 0.565807 |
| Yes. | 0.514311 |
| risk medical condition | 0.615044 |
| mouth | 0.512082 |
| illness milder | 0.590546 |
| physician assistant | 0.570717 |
| time | 0.512699 |
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Centers for Disease Control and Prevention |
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CDC Grand Rounds: Preventing Suicide Through a ComprehensivePublic Health Approach | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| suicide prevention opportunities | 0.608958 |
| Violent Death Reporting | 0.445558 |
| suicide risk | 0.64871 |
| mental health | 0.532376 |
| nonfatal suicide attempts | 0.590745 |
| suicide rates | 0.685248 |
| health risk behaviors | 0.351676 |
| Barraclough B. Suicide | 0.515259 |
| public health approaches | 0.405038 |
| police suicide prevention | 0.555057 |
| previous suicide attempts | 0.551864 |
| mental health problems | 0.344082 |
| Rochester Medical Center | 0.36438 |
| suicide exhibit | 0.478126 |
| suicide prevention programme | 0.555334 |
| mental health services | 0.345919 |
| multicomponent suicide prevention | 0.592555 |
| suicidal risk behavior | 0.350659 |
| suicide prevention strategies | 0.587337 |
| Force Suicide Prevention | 0.596405 |
| overall suicide rate | 0.579001 |
| National Suicide Prevention | 0.585315 |
| Strength suicide prevention | 0.548431 |
| Suicide data | 0.551845 |
| suicide prevention | 0.913495 |
|
| suicide prevention program | 0.732147 |
| United States | 0.345885 |
| suicide risk behaviors | 0.607351 |
| mental health approach | 0.341761 |
| health treatment approach | 0.350783 |
| public health strategy | 0.33865 |
| public health approach | 0.464789 |
| mental health treatment | 0.412592 |
| Education Development Center | 0.363688 |
| public health | 0.728673 |
| Suicide risk factors | 0.578107 |
| future suicide attempts | 0.560321 |
| Control Research Center | 0.367026 |
| First-time suicide attempts | 0.558993 |
| suicide plans | 0.539471 |
| public health problem | 0.365963 |
| mental health care | 0.336571 |
| comprehensive prevention strategies | 0.407977 |
| private Suicide Prevention | 0.577635 |
| suicide contagion | 0.486263 |
| National Violent Death | 0.449968 |
| public health sector | 0.343555 |
| suicide decedents | 0.509892 |
| suicide attempts | 0.749941 |
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