| 2948 |
Centers for Disease Control and Prevention |
Html |
en |
Jamason's Story - Real Stories - Tips from Former Smokers - Smoking & Tobacco Use |
Jamason's story about having asthma attack triggered by secondhand smoke at 16. |
| dangers | 0.360467 |
| Jamason | 0.587796 |
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| air | 0.344985 |
| infant | 0.359568 |
| trouble breathing | 0.55147 |
| worst attack | 0.601069 |
| real world | 0.519687 |
| smoking | 0.346334 |
| Smokers® campaign | 0.522829 |
| secondhand smoke | 0.644732 |
| hospital | 0.409493 |
| CDC’s Tips | 0.531956 |
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| cigarette | 0.359448 |
| work | 0.390333 |
| breathing. | 0.342035 |
| 18-year-old Jamason | 0.587335 |
| friends | 0.348532 |
| severe asthma attack | 0.976455 |
| help | 0.345626 |
| exposure | 0.348176 |
| mother Sherri | 0.580246 |
| fast food restaurant | 0.733236 |
| severe attack | 0.605765 |
| cigarettes | 0.359972 |
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| 5113 |
Centers for Disease Control and Prevention |
Html |
en |
Science Clips - Monday, March 01, 2010 |
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| frequent pap test | 0.432758 |
| public health practitioners | 0.471209 |
| Dubey JP | 0.347466 |
| Mensah GA | 0.335935 |
| Physician practices | 0.326159 |
| private health insurance | 0.456363 |
| health impact | 0.345015 |
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| invasive haemophilus influenzae | 0.467786 |
| Action Science Clips | 0.990863 |
| behavior change theories | 0.415778 |
| health care services | 0.461247 |
| Chief Science Officer | 0.46453 |
| secondary data analysis | 0.411413 |
| DHHS | 0.337616 |
| recent findings | 0.329333 |
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| Injury prevention | 0.335015 |
| good thing | 0.329289 |
| young adults | 0.332581 |
| public domain | 0.353164 |
| Stephen B. Thacker | 0.687129 |
| hand hygiene | 0.326025 |
| Rich MW | 0.326683 |
| United States | 0.323778 |
|
| seasonal influenza-like illness | 0.428698 |
| major radiologic emergency | 0.443736 |
| Home injuries | 0.332292 |
| patient willingness | 0.33613 |
| randomized intervention trial | 0.443417 |
| invasive bacterial disease | 0.442129 |
| public health | 0.514464 |
| critical evaluation | 0.327984 |
| nationally representative data | 0.407294 |
| low-income patients | 0.324432 |
| public health literature | 0.44658 |
| in-hospital cardiac care | 0.44398 |
| B. Thacker CDC | 0.829909 |
| systematic review | 0.326448 |
| disease burden studies | 0.443827 |
| unintentional injury | 0.331243 |
| original sources | 0.348256 |
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| primary care | 0.326133 |
| insurance plan | 0.325932 |
| Medical response | 0.331911 |
| Thacker CDC Library | 0.829766 |
| public health action | 0.469249 |
|
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| 6471 |
Centers for Disease Control and Prevention |
Html |
en |
Depressive symptoms and health-related quality of life among participants in the Pasos Adelante chronic disease prevention and control program, Arizona, 2005-2008 |
This study examined whether depressive symptoms and HRQOL indicators changed among participants in Pasos Adelante, a chronic disease prevention and control program implemented in a US–Mexico border community. |
| Moriarty DG | 0.335236 |
| mental health | 0.709711 |
| mental health disorders | 0.333703 |
| Pasos Adelante | 0.969852 |
| Risk Factor Surveillance | 0.389943 |
| mental health indicators | 0.343558 |
| depressive symptoms | 0.805859 |
| chronic disease risk | 0.399332 |
| Disease Control | 0.360131 |
| general estimating equations | 0.336409 |
| self-rated health | 0.455952 |
| total response scores | 0.378987 |
| Epidemiologic Studies Depression | 0.464756 |
| mental health problems | 0.371098 |
| health-related quality | 0.502676 |
| disease risk factors | 0.385549 |
| poor mental health | 0.36724 |
| baseline | 0.399846 |
| health care costs | 0.338668 |
| mean number | 0.331597 |
| community-based lifestyle-intervention programs | 0.325199 |
| poor self-rated health | 0.324814 |
| physical health | 0.359186 |
| chronic disease | 0.514195 |
| linear mixed-effects models | 0.336725 |
|
| Behavioral Risk Factor | 0.389917 |
| chronic disease prevention | 0.484403 |
| Studies Depression Scale | 0.460736 |
| self-rated health responses | 0.32521 |
| United States | 0.354622 |
| Epidemiol Community Health | 0.324597 |
| Pasos Adelante program | 0.664812 |
| public health community | 0.353729 |
| Prevention Research Center | 0.346534 |
| control program | 0.344609 |
| community health | 0.361222 |
| community health workers | 0.346295 |
| total number | 0.32666 |
| public health | 0.456656 |
| participants | 0.524098 |
| HRQOL indicators | 0.388504 |
| chronic diseases | 0.323689 |
| frequent mental distress | 0.508638 |
| chronic conditions | 0.343925 |
| physical activity | 0.444219 |
| community health assessment | 0.348821 |
| Health Qual Life | 0.358582 |
| US–Mexico border community | 0.354565 |
| Enid Zuckerman College | 0.387365 |
|
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| 7523 |
Centers for Disease Control and Prevention |
Html |
en |
Perchlorate in Baby Formula Fact Sheet-National Center for Environmental Health |
Data Resources for the National Center for Environmental Health |
| formula product | 0.448217 |
| conservative hypothetical exposure | 0.465598 |
| CDC | 0.543163 |
| available powdered infant | 0.478062 |
| thyroid hormone | 0.434146 |
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| perchlorate exposure | 0.741019 |
| synthetic amino acids | 0.431525 |
| reference dose | 0.508536 |
| fact sheet | 0.450996 |
| powdered infant formulas | 0.605372 |
| S. Environmental Protection | 0.556572 |
| mixed formula | 0.449552 |
| low levels | 0.437077 |
| soy-based formulas | 0.389025 |
| Previous CDC studies | 0.486554 |
| perchlorate | 0.958296 |
| hypothetical dosing situations | 0.445302 |
| infants | 0.505193 |
| infant formula | 0.630751 |
| lower risk | 0.42154 |
| diverse set | 0.431998 |
| significantly higher concentration | 0.427021 |
| recent study | 0.394279 |
| various chronic diseases | 0.423837 |
|
| hypothetical situation | 0.389469 |
| Environmental Protection Agency | 0.560469 |
| milk-based formulas | 0.395832 |
| U. S. Food | 0.4198 |
| study | 0.483755 |
| hypothetical exposure scenarios | 0.578715 |
| small study | 0.428884 |
| best feed infants | 0.489907 |
| thyroid gland | 0.437323 |
| Environmental Epidemiology1 | 0.382209 |
| formula products | 0.502028 |
| small numbers | 0.433035 |
| hypothetical exposure situations | 0.479487 |
| elemental formulas | 0.386011 |
| breast milk | 0.440547 |
| CDC researchers | 0.419094 |
| fact sheet answers | 0.449726 |
| Exposure Science | 0.418245 |
| U. S. Environmental | 0.552675 |
| infant feeding | 0.585061 |
| milk-based formula | 0.457029 |
| ill effects | 0.42411 |
| formula | 0.718527 |
| daily exposure levels | 0.468371 |
|
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| 7586 |
Centers for Disease Control and Prevention |
Html |
en |
Severe Respiratory Illness Associated with a Novel Coronavirus - Saudi Arabia and Qatar, 2012 |
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. |
| mmwrq@cdc.gov. | 0.308574 |
| case investigation | 0.317244 |
| Human Services | 0.350171 |
| assistive technology | 0.303788 |
| Global Disease Detection | 0.364888 |
| available diagnostic tests | 0.371683 |
| MMWR HTML versions | 0.357762 |
| U.S. Department | 0.348424 |
| CDC Emergency Operations | 0.446199 |
| Eyal Leshem | 0.364894 |
| electronic PDF version | 0.35937 |
| novel coronavirus | 0.793816 |
| CDC coronavirus website | 0.843134 |
| public health risk | 0.420914 |
| National Center | 0.352169 |
| World Health Organization | 0.418106 |
| personal protective equipment | 0.360223 |
| Global Health | 0.312083 |
| Zoonotic infectious Diseases | 0.361835 |
| Euro Surveill | 0.445401 |
| lower respiratory illness | 0.462072 |
| severe respiratory disease | 0.446991 |
| case definition | 0.467361 |
| original paper copy | 0.352539 |
|
| Kingdom public health | 0.382374 |
| Respiratory Diseases | 0.360961 |
| probable case | 0.320228 |
| respiratory illness | 0.987639 |
| original MMWR paper | 0.364501 |
| U.S. Government Printing | 0.363127 |
| Saudi Arabia | 0.468651 |
| M. Novel coronavirus | 0.505984 |
| Healthcare Quality Promotion | 0.362674 |
| acute respiratory syndrome | 0.454715 |
| viral genetic sequences | 0.36741 |
| local health departments | 0.526128 |
| public health | 0.476815 |
| ECDC Internal Response | 0.363168 |
| acute respiratory illness | 0.620611 |
| Interim case definitions | 0.392309 |
| subject line | 0.30503 |
| United Kingdom | 0.473692 |
| public health measures | 0.379896 |
| new virus | 0.373221 |
| current information | 0.300091 |
| severe respiratory illness | 0.634652 |
| Genetic sequence data | 0.369726 |
| et al | 0.365118 |
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| 10706 |
Centers for Disease Control and Prevention |
Html |
en |
Short and Extended Messages'Viral Hemorrhagic Fevers - VHF' Communicating in the First Hours |
The CERC training program educates people on the principles and application of crisis and emergency risk communication when responding to a public health emergency. |
| 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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| 11052 |
Centers for Disease Control and Prevention |
Html |
en |
CDC Media Statement on Newly Discovered Smallpox Samples | Media Statement | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| CDC | 0.632906 |
| variola virus DNA. | 0.846981 |
| Overnight PCR testing | 0.712913 |
| NIH campus | 0.652419 |
| unused portion | 0.599161 |
| Disease Control | 0.594826 |
| Novosibirsk | 0.434651 |
| FDA laboratory | 0.638988 |
| periodic reviews | 0.5567 |
| National Institutes | 0.592377 |
| smallpox samples | 0.730376 |
| smallpox facilities | 0.716094 |
| Select Agents | 0.594974 |
| DSAT | 0.503623 |
| World Health Organization | 0.697374 |
| onsite biosafety personnel | 0.723843 |
| vials | 0.922574 |
| tissue culture | 0.560454 |
| -designated repositories | 0.605494 |
| biologic products | 0.603833 |
| agent containment laboratory | 0.732976 |
| viable smallpox | 0.746847 |
| Federal Bureau | 0.553857 |
| Toxins | 0.436816 |
| employees | 0.431193 |
|
| Additional testing | 0.573941 |
| Centers | 0.431279 |
| FDA | 0.641695 |
| Drug Administration | 0.593181 |
| Prevention | 0.43124 |
| Atlanta | 0.452028 |
| BSL-4 lab | 0.5656 |
| Division | 0.431364 |
| Food | 0.431015 |
| official repositories | 0.60513 |
| NIH Bethesda campus | 0.845585 |
| storage room | 0.593471 |
| smallpox materials | 0.723211 |
| variola samples | 0.721488 |
| high-containment facility | 0.567751 |
| international agreement | 0.561443 |
| infectious exposure risk | 0.708066 |
| State Research Centre | 0.696268 |
| appropriate regulatory agency | 0.756183 |
| local law enforcement | 0.709146 |
| Virology | 0.43016 |
| main campus. | 0.57671 |
| precedent | 0.437924 |
| discovery | 0.453062 |
|
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| 12381 |
Centers for Disease Control and Prevention |
Image |
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Vital Signs: HIV Care Saves Lives (377W x 251H) |
null |
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CLICK HERE |
| 13168 |
Centers for Disease Control and Prevention |
Html |
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April is Alcohol Awareness Month | CDC Features |
By not drinking too much, you can reduce the risk of short- and long-term health risks. |
| alcohol availability | 0.570068 |
| underage drinking | 0.515653 |
| screening | 0.334239 |
| instance | 0.321072 |
| binge drinkers | 0.462186 |
| effective community | 0.404842 |
| binge drinking | 0.540041 |
| high-quality treatment | 0.400311 |
| comprehensive approach | 0.406532 |
| deaths | 0.384739 |
| alcohol | 0.983199 |
| inability | 0.324347 |
| liver disease | 0.519881 |
| lives | 0.320686 |
| alcohol poisoning | 0.589484 |
| health problems | 0.415532 |
| Chronic Disease | 0.510436 |
| health effects | 0.486494 |
| high-quality substance abuse | 0.490283 |
| study | 0.394208 |
| past history | 0.411517 |
| related harms | 0.408437 |
| potential life | 0.416988 |
| adults | 0.401287 |
| excessive drinking−such | 0.529827 |
|
| alcohol dependence increase | 0.681666 |
| excessive alcohol | 0.929154 |
| alcohol dependence | 0.874156 |
| excessive drinkers | 0.653131 |
| adult drinkers | 0.452661 |
| heart disease | 0.413602 |
| strong craving | 0.413941 |
| evidence-based community strategies | 0.486851 |
| excessive drinking | 0.846404 |
| long-term health risks | 0.529894 |
| medical problem | 0.40134 |
| short period | 0.407341 |
| violence | 0.343884 |
| chronic medical condition | 0.497154 |
| clinical prevention strategies | 0.493757 |
| CDC researchers | 0.423948 |
| breast cancer | 0.407946 |
| people | 0.340201 |
| multiple occasions | 0.40749 |
| primary care | 0.407422 |
| healthcare settings | 0.403844 |
| motor vehicle crashes | 0.509854 |
| greatest impact | 0.403093 |
| time | 0.337042 |
|
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| 15521 |
Centers for Disease Control and Prevention |
Html |
en |
WHO African Region (AFR) 2014-2015 |
Overview of the CDC Influenza Division International Program WHO African Region (AFR), its objectives and goals, and contains downloadable annual reports on supported countries. |
| Influenza Sentinel Surveillance | 0.624498 |
| national influenza reference | 0.618858 |
| Ghana National Influenza | 0.598861 |
| CDC influenza project | 0.593878 |
| influenza virological surveillance | 0.672288 |
| sub-regional influenza capacity | 0.59188 |
| influenza sentinel sites | 0.589242 |
| Global Influenza Surveillance | 0.668086 |
| severe influenza | 0.628531 |
| influenza preparedness | 0.591974 |
| Disease Control | 0.576739 |
| novel influenza viruses | 0.584546 |
| CDC Influenza Division | 0.610769 |
| seasonal influenza vaccines | 0.609361 |
| influenza surveillance systems | 0.791418 |
| seasonal influenza | 0.629253 |
| african region | 0.556329 |
| cooperative agreements | 0.537762 |
| influenza vaccine effectiveness | 0.61272 |
| Influenza Division | 0.793271 |
| influenza surveillance | 0.797005 |
| Pandemic Influenza Preparedness | 0.586785 |
| influenza laboratory network | 0.674533 |
| Influenza Vaccine Introduction | 0.591866 |
|
| influenza virus isolation | 0.578472 |
| Regional Office | 0.549045 |
| South Africa | 0.6289 |
| Central African Republic | 0.559546 |
| influenza | 0.959396 |
| national influenza | 0.673075 |
| epidemiological influenza surveillance | 0.621039 |
| pandemic influenza threats | 0.59368 |
| U.S. Centers | 0.573579 |
| virological influenza surveillance | 0.621888 |
| influenza events | 0.561374 |
| National Influenza Centers | 0.608118 |
| pandemic influenza | 0.651773 |
| CDC’s Influenza | 0.596391 |
| influenza specimen collection | 0.581877 |
| Influenza Estimating Burden | 0.580011 |
| afr influenza laboratory | 0.654187 |
| African influenza laboratories | 0.635443 |
| Influenza Program | 0.617004 |
| Network Influenza Surveillance | 0.623896 |
| influenza reference laboratory | 0.594731 |
| national influenza surveillance | 0.649016 |
| Burkina Faso | 0.647069 |
| Influenza Reference Laboratories | 0.586681 |
|
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