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Centers for Disease Control and Prevention |
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Are you getting enough sleep? | CDC Features |
Tired? Insufficient sleep is associated with a number of chronic diseases and conditions, such as diabetes, cardiovascular diseases, obesity, and depression. Sufficient sleep is increasingly being recognized as an essential aspect of chronic disease prevention and health promotion. |
| pediatric populations | 0.202733 |
| American Academy | 0.385868 |
| sleep health | 0.58178 |
| joint consensus statement | 0.300484 |
| short sleep | 0.625827 |
| Buxton OM | 0.209879 |
| motor vehicle crash | 0.311662 |
| sleep | 0.939515 |
| early death | 0.219714 |
| healthy adult | 0.203922 |
| Hall WA | 0.20288 |
| increased risk | 0.221294 |
| important habits | 0.214387 |
| sleep habits | 0.57511 |
| sleep disorders | 0.571051 |
| Watson NF | 0.209219 |
| good health | 0.231411 |
|
| Brooks LJ | 0.213215 |
| poor sleep quality | 0.667765 |
| poor mental health | 0.320585 |
| family demands | 0.233267 |
| Clin Sleep Med | 0.642228 |
| Research Society recommend | 0.30889 |
| Badr MS | 0.214523 |
| sleep disorder | 0.561499 |
| high blood pressure | 0.320564 |
| et al | 0.283722 |
| bad mood | 0.214789 |
| Sleep Research Society | 0.849034 |
| Sleep Medicine | 0.712555 |
| coronary heart disease | 0.324753 |
| Lloyd RM | 0.209431 |
| Bliwise DL | 0.209946 |
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Centers for Disease Control and Prevention |
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Diagnosing Flu |
About tests for diagnosing flu - CDC |
| negative test result | 0.450202 |
| influenza infection | 0.400648 |
| rapid molecular assays | 0.58647 |
| health care provider | 0.70272 |
| body aches | 0.399351 |
| negative rapid test | 0.578013 |
| type | 0.326855 |
| cough | 0.319676 |
| number | 0.315744 |
| fatigue | 0.316918 |
| chills | 0.321286 |
| Flu testing | 0.573808 |
| flu tests | 0.773844 |
| results | 0.372 |
| respiratory specimens | 0.397698 |
| addition | 0.3319 |
| stuffy nose | 0.398862 |
| test results | 0.371658 |
| laboratory tests | 0.387138 |
| antigens | 0.317484 |
| diarrhea | 0.319779 |
| positive rapid flu | 0.680732 |
| specialized laboratories | 0.376503 |
| swab | 0.338304 |
| state public health | 0.443078 |
|
| parts | 0.315591 |
| influenza outbreak | 0.408644 |
| flu symptoms | 0.567252 |
| influenza diagnostic test | 0.453371 |
| care provider swipe | 0.440897 |
| respiratory illness | 0.563258 |
| fever | 0.334139 |
| respiratory symptoms | 0.40454 |
| immune response | 0.383482 |
| sore throat | 0.397153 |
| ability | 0.325953 |
| genetic material | 0.382153 |
| flu viruses | 0.792096 |
| sensitive flu tests | 0.657399 |
| people | 0.391166 |
| flu | 0.970631 |
| rapid tests | 0.445324 |
| doctor | 0.331673 |
| influenza viruses | 0.435024 |
| typical flu season | 0.68135 |
| RIDTs work | 0.380113 |
| clinical judgment | 0.452338 |
| headache | 0.317525 |
| rapid test result | 0.720066 |
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Centers for Disease Control and Prevention |
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Interim Guidance for the Use of Masks to Control Influenza Transmission |
Role of masks for controlling influenza when suboptimal immunization of the public could increase the frequency of influenza infection - CDC |
| influenza vaccine shortage | 0.594424 |
| specific infectious agent | 0.362922 |
| febrile respiratory illness | 0.501875 |
| influenza infection | 0.690651 |
| droplet source | 0.278103 |
| respiratory droplets | 0.440568 |
| infectious respiratory secretions | 0.613671 |
| respiratory secretions | 0.689371 |
| health-care personnel mask | 0.515706 |
| infected persons cough | 0.446719 |
| procedure masks | 0.477218 |
| non-health-care settings | 0.292497 |
| influenza activity | 0.479445 |
| susceptible persons | 0.295563 |
| infection control strategies | 0.433978 |
| masks | 0.597154 |
| respiratory illness activity | 0.482193 |
| respiratory infections | 0.403473 |
| high risk | 0.333178 |
| influenza virus | 0.485616 |
| virus-laden large droplets | 0.428377 |
| influenza | 0.929489 |
| public settings | 0.287849 |
| asymptomatic persons | 0.262329 |
| Postpartum Settings | 0.273337 |
|
| influenza transmission | 0.516844 |
| health-care personnel | 0.745809 |
| infectious patients | 0.382902 |
| respiratory symptoms | 0.387113 |
| procedure mask | 0.274524 |
| indirect contact | 0.273484 |
| upper respiratory tract | 0.564807 |
| close contact | 0.499232 |
| influenza patients | 0.53172 |
| Healthcare-Associated Influenza | 0.52629 |
| health-care settings | 0.604062 |
| influenza control strategies | 0.630262 |
| hygiene/cough etiquette strategy | 0.356826 |
| symptomatic person | 0.276456 |
| unvaccinated high-risk persons | 0.368952 |
| respiratory infection activity | 0.570913 |
| respiratory infection | 0.622331 |
| symptomatic persons | 0.368636 |
| Healthcare Settings | 0.290086 |
| respiratory hygiene/cough etiquette | 0.672132 |
| community settings | 0.304838 |
| health-care services | 0.342915 |
| suboptimal immunization | 0.272872 |
| interim CDC guidance | 0.389379 |
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Centers for Disease Control and Prevention |
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Methyl acetylene - 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 |
|
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Centers for Disease Control and Prevention |
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Dichloroacetylene - 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 |
|
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Centers for Disease Control and Prevention |
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Lifestyle behaviors and physician advice for change among overweight and obese adults with prediabetes and diabetes in the United States, 2006. |
null |
| health insurance | 0.383317 |
| Appropriate lifestyle behaviors | 0.395485 |
| weight management behavior | 0.393781 |
| National Health Interview | 0.417683 |
| high school education | 0.438235 |
| Guidelines define overweight | 0.384382 |
| Look AHEAD study | 0.414867 |
| healthy lifestyle behavior | 0.390077 |
| respondent lifestyle behavior | 0.391225 |
| higher reported prevalence | 0.402396 |
| logistic regression | 0.450238 |
| obese people | 0.620649 |
| obese BMI categories | 0.39584 |
| lifestyle behaviors | 0.767297 |
| body mass index | 0.457515 |
| weight loss | 0.63804 |
| Health Interview Survey | 0.417784 |
| health status | 0.438138 |
| respondents | 0.458852 |
| diabetes control | 0.404603 |
| high risk | 0.38201 |
| obese patients | 0.397318 |
| diabetes status | 0.397497 |
| obese respondents | 0.413084 |
|
| respondent lifestyle behaviors | 0.405564 |
| behavior change respondents | 0.402095 |
| diet | 0.445368 |
| overweight | 0.459446 |
| lifestyle behavior change | 0.591187 |
| borderline diabetes | 0.392133 |
| Weight control behaviors | 0.399366 |
| prediabetes | 0.424803 |
| physician advice | 0.843475 |
| health | 0.474521 |
| calories | 0.459734 |
| diagnosed diabetes | 0.389108 |
| physician recommendation | 0.527414 |
| sample | 0.382499 |
| physical activity | 0.985213 |
| obese adults | 0.413642 |
| Diabetes Prevention Program | 0.427857 |
| diabetes prevention initiatives | 0.41659 |
| reported lifestyle behaviors | 0.454535 |
| lifestyle change advice | 0.397008 |
| American Diabetes Association | 0.405164 |
| regression analysis modeling | 0.391383 |
| logistic regression models | 0.388902 |
| diabetes | 0.672861 |
|
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Centers for Disease Control and Prevention |
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Polio Field Census and Vaccination of UnderservedPopulations - Northern Nigeria, 2012-2013 |
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. |
| settlements | 0.753344 |
| new polio vaccination | 0.503576 |
| polio SIA planning | 0.50084 |
| previously polio-free settlements | 0.449359 |
| newly detected settlements | 0.442967 |
| polio virus transmission | 0.464992 |
| polio eradication | 0.927806 |
| polio vaccine | 0.792322 |
| northern Nigeria | 0.599673 |
| national polio eradication | 0.547911 |
| polio vaccination | 0.78839 |
| local polio immunization | 0.519253 |
| N-STOP officers | 0.450211 |
| infant immunization services | 0.48497 |
| border settlements | 0.446582 |
| nomadic settlements | 0.406538 |
| National Primary Health | 0.506789 |
| children | 0.438415 |
| innovative polio eradication | 0.563956 |
| Nigeria polio eradication | 0.611593 |
| polio vaccination teams | 0.583346 |
| remote settlements | 0.546083 |
| Nigeria | 0.656546 |
|
| Global Polio Eradication | 0.593614 |
| Health Organization Country | 0.414741 |
| public health | 0.733572 |
| chronically missed settlements | 0.464277 |
| Nigeria Polio Emergency | 0.626501 |
| polio vaccination campaigns | 0.488482 |
| Polio Eradication Initiative | 0.58448 |
| World Health Organization | 0.414562 |
| local government areas | 0.48307 |
| polio eradication challenges | 0.625436 |
| underserved communities | 0.412286 |
| Polio Eradication Emergency | 0.509466 |
| Health Care Development | 0.506308 |
| Care Development Agency | 0.481297 |
| newly discovered settlements | 0.443968 |
| field census | 0.735819 |
| low polio vaccination | 0.564384 |
| hard-to-reach settlements | 0.44553 |
| polio eradication guidelines | 0.508445 |
| Primary Health Care | 0.507918 |
| WPV transmission | 0.434063 |
| polio supplemental immunization | 0.536345 |
| polio immunity gap | 0.450187 |
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NCIRD | DBD Bulletin Winter 2011 | Quarter 3 News |
Division of Bacterial Diseases Bulletin Winter |
| DBD memories | 0.674252 |
| DBD | 0.959444 |
| senior health | 0.310988 |
| nasopharyngeal carriage study | 0.439312 |
| first-ever diagnosis | 0.315445 |
| major milestone | 0.327237 |
| permanent disability | 0.314598 |
| vaccine efficacy data | 0.423293 |
| Infectious Diseases Society | 0.546935 |
| TaqMan® Low Density | 0.402817 |
| meningococcal disease epidemics | 0.455906 |
| historical reasons | 0.3232 |
| annual attack rates | 0.411639 |
| Smart About Antibiotics | 0.405299 |
| Stacey Martin | 0.312845 |
| Spring/Summer Bulletin | 0.326756 |
| Herd immunity | 0.322735 |
| ongoing collaboration activities | 0.388103 |
| Tami Skoff | 0.317454 |
| African Meningitis Belt | 0.4324 |
| annual meningitis meeting | 0.428005 |
| previous page | 0.315371 |
| Darcia Johnson | 0.315359 |
| lab trainings | 0.31188 |
| Public Health Laboratories | 0.394861 |
|
| Jessica MacNeil | 0.312648 |
| multiple pathogens | 0.310792 |
| DBD staff | 0.790134 |
| Dr. Besser | 0.343853 |
| meningococcal vaccines | 0.363653 |
| live twitter chat | 0.587883 |
| ABC News | 0.399946 |
| live Twitter chats | 0.407634 |
| Amanda Faulkner | 0.314813 |
| DBD All-Hands summer | 0.754521 |
| Amanda Cohn | 0.316978 |
| pneumococcal vaccine introduction | 0.427155 |
| Pediatric Infectious Diseases | 0.39759 |
| fond memories | 0.32361 |
| international scientists | 0.312458 |
| meningococcal conjugate vaccines | 0.439146 |
| Roybal campus | 0.337569 |
| community-acquired pneumonia | 0.332504 |
| local public health | 0.399547 |
| Recovery Act funding | 0.38642 |
| meningitis cases | 0.345562 |
| Burkina Faso | 0.674946 |
| MenAfriVacâ„¢ introduction | 0.312201 |
| Dr. Rich Besser | 0.602528 |
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Tetrodotoxin Poisoning Outbreak from Imported Dried PufferFish - Minneapolis, Minnesota, 2014 |
Jon B. Cole, MD1,2, William G. Heegaard, MD2, Jonathan R. |
| rehydrated fish | 0.67156 |
| Applied Nutrition | 0.707326 |
| alkaloid toxin tetrodotoxin | 0.728648 |
| mental status | 0.668999 |
| puffer fish consumption | 0.739173 |
| Minnesota Department | 0.718901 |
| William G. Heegaard | 0.671004 |
| tetrodotoxin testing | 0.673239 |
| New York City | 0.79915 |
| tetrodotoxin poisoning | 0.711722 |
| blood cell count | 0.722464 |
| toxin analysis | 0.687893 |
| room air | 0.669149 |
| normal range | 0.697869 |
| County Medical Center | 0.726777 |
| blood pressure | 0.668356 |
| Sara C. McGrath | 0.667587 |
| blood oxygen saturation | 0.72403 |
| Food Safety | 0.702852 |
| emergency department | 0.707297 |
| puffer fish | 0.97012 |
| puffer fish products | 0.791543 |
| genetic analysis | 0.724169 |
| Jonathan R. Deeds | 0.725399 |
| Jon B. Cole | 0.667118 |
|
| United States | 0.725686 |
| fish family Tetraodontidae | 0.701914 |
| public health threat | 0.699197 |
| potentially lethal toxin | 0.678782 |
| Drug Administration | 0.695653 |
| high levels | 0.671654 |
| medical advice | 0.66732 |
| U.S. public health | 0.672635 |
| Sara M. Handy | 0.667256 |
| Lagocephalus lunaris | 0.71389 |
| domestically sourced puffer | 0.712325 |
| puffer fish poisoning | 0.829426 |
| alkaloid toxin | 0.729223 |
| public health | 0.723568 |
| Center Emergency Department | 0.68255 |
| carbon dioxide | 0.667291 |
| white blood cell | 0.724825 |
| puffer fish species | 0.75056 |
| York City Department | 0.666595 |
| tongue numbness | 0.676646 |
| minimum lethal dose | 0.665631 |
| acetic acid | 0.695056 |
| tetrodotoxin | 0.732473 |
| Laboratory results | 0.668759 |
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Tuberculosis Among Temporary Visa Holders Working in theTourism Industry - United States, 2012-2014 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| latent TB infection | 0.739871 |
| TB test results | 0.547019 |
| foreign-born persons | 0.43013 |
| global TB elimination | 0.539764 |
| high TB incidence | 0.552689 |
| TB contact investigations | 0.552809 |
| TB awareness | 0.56086 |
| recent TB infection | 0.559473 |
| active TB disease | 0.566411 |
| temporary visa holders | 0.49079 |
| incident TB cases | 0.604253 |
| positive TB test | 0.547469 |
| TB evaluation | 0.551496 |
| TB Prevention | 0.529076 |
| genotype-matching TB case | 0.568167 |
| recent TB | 0.566248 |
| TB screening | 0.668014 |
| premigration TB | 0.521234 |
| additional active TB | 0.683754 |
| first-line TB medications | 0.565865 |
| TB patients | 0.524858 |
| national TB surveillance | 0.557532 |
| TB incidence | 0.628721 |
| TB risk factors | 0.684317 |
|
| foreign-born seasonal workers | 0.416641 |
| infectious TB | 0.637925 |
| TB symptoms | 0.579269 |
| recent TB cases | 0.563879 |
| smear–positive pulmonary TB | 0.557525 |
| TB screening requirements | 0.604305 |
| temporary workers | 0.537658 |
| secondary TB cases | 0.564436 |
| United States | 0.761973 |
| TB disease | 0.704544 |
| foreign-born temporary workers | 0.459065 |
| TB transmission | 0.650535 |
| TB contact investigation | 0.579121 |
| public health | 0.493236 |
| pulmonary TB disease | 0.690042 |
| active TB cases | 0.69571 |
| active TB | 0.711188 |
| TB cases | 0.946669 |
| smear-positive pulmonary TB | 0.630726 |
| TB education | 0.590087 |
| National Park Service | 0.422173 |
| TB contact | 0.580457 |
| TB diagnosis | 0.531062 |
| TB signs | 0.523085 |
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