| 1110 |
Centers for Disease Control and Prevention |
Html |
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Prevention Research Centers - Depression Prevention Using RAP Skills for Adolescents and Young Adults - PRC |
Host Johns Hopkins University. |
| 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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| 4566 |
Centers for Disease Control and Prevention |
Html |
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CDC H1N1 Flu | Revised Recommendations for the Use of Influenza Antiviral Drugs |
null |
| ill individuals | 0.381077 |
| personnel wearing facemasks | 0.397585 |
| patient care settings | 0.426208 |
| N-95 respirators | 0.46812 |
| e.g. bronchoscopy suites | 0.439895 |
| fit-tested N-95 respirators | 0.461682 |
| potentially ill patients | 0.380745 |
| elastomeric respirators | 0.43135 |
| respiratory protection practices | 0.419078 |
| personal protective equipment | 0.519954 |
| patients | 0.416342 |
| disposable N95 respirator | 0.53443 |
| infection control experts | 0.511819 |
| healthcare facilities | 0.623773 |
| patient care | 0.459888 |
| respirator use mode | 0.461942 |
| exposure risk activities | 0.389164 |
| worker health risk | 0.386984 |
| exposure | 0.428302 |
| high risk | 0.387642 |
| hand hygiene | 0.424618 |
| aerosol-generating procedures | 0.670726 |
| facepiece respirators | 0.498334 |
| healthcare personnel | 0.852978 |
| comprehensive respiratory protection | 0.397704 |
|
| re-use | 0.385094 |
| respirator supplies | 0.420699 |
| disposable N95 respirators | 0.9645 |
| patient encounters | 0.449785 |
| precise balance | 0.423371 |
| infection control | 0.624685 |
| Infection Control Measures | 0.500586 |
| interim guidance | 0.463578 |
| respiratory protection. Prioritization | 0.397924 |
| mucous membranes | 0.430646 |
| h1n1 influenza | 0.590368 |
| respiratory protection | 0.805449 |
| disposable respirators | 0.496541 |
| serial patient encounters | 0.444884 |
| H1N1 influenza exposure | 0.411094 |
| infection control principles | 0.394584 |
| protective measures | 0.3842 |
| respirator contamination | 0.428743 |
| contact transmission | 0.60965 |
| respiratory protection equipment | 0.419032 |
| air-purifying respirator | 0.415198 |
| administrative controls | 0.413854 |
| healthcare settings | 0.496837 |
| respirator shortages | 0.458645 |
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| 6398 |
Centers for Disease Control and Prevention |
Html |
en |
Notifiable Diseases and Mortality Tables - November 18, 2011 |
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. |
| provisional 4-week totals | 0.631734 |
| Mortality Tables | 0.487178 |
| equine encephalitis virus | 0.556367 |
| Mortality Weekly Report | 0.486032 |
| Viral hemorrhagic fever¶¶¶ | 0.477046 |
| provisional cases | 0.591209 |
| Hantavirus pulmonary syndrome§ | 0.480233 |
| Staphylococcus aureus§ | 0.487665 |
| New York City | 0.470414 |
| acute hepatitis | 0.49718 |
| 2011-12 influenza season | 0.483721 |
| Cum | 0.476086 |
| noncholera Vibrio species | 0.477926 |
| influenza A virus | 0.485532 |
| National Center | 0.539351 |
| CDC Home CDC | 0.489693 |
| Hemolytic uremic syndrome | 0.48088 |
| California serogroup virus | 0.498575 |
| meningococcal disease | 0.547308 |
| historical data | 0.514483 |
| Influenza Division | 0.474959 |
| Ñ?ЛП
Notifiable Diseases | 0.514704 |
| Cumulative year-to-date counts | 0.475218 |
| 2009 pandemic | 0.50401 |
|
| Respiratory Diseases | 0.4723 |
| NN | 0.957528 |
| United States | 0.720359 |
| Vancomycin-resistant Staphylococcus aureus§ | 0.475977 |
| novel influenza | 0.520942 |
| I. Provisional cases | 0.50753 |
| 5-year weekly average†| 0.491061 |
| notifiable diseases | 0.671794 |
| Vancomycin-intermediate Staphylococcus aureus§ | 0.475792 |
| Eastern equine encephalitis | 0.486671 |
| pandemic influenza | 0.506859 |
| Influenza-associated pediatric mortality§ | 0.476544 |
| viral hemorrhagic fever | 0.471664 |
| Western equine encephalitis | 0.486299 |
| Polio virus Infection | 0.479856 |
| Total case counts | 0.471801 |
| notifiable disease reports | 0.620891 |
| current 4-week total | 0.486984 |
| Vector-Borne Infectious Diseases | 0.478585 |
| Chlamydia trachomatis infection | 0.471163 |
| TABLE I. | 0.487646 |
| dengue hemorrhagic fever | 0.473445 |
| subsequent 4-week periods | 0.482172 |
| West Nile virus | 0.477749 |
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| 6814 |
Centers for Disease Control and Prevention |
Html |
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Influence of change in aerobic fitness and weight on prevalence of metabolic syndrome. |
The metabolic syndrome is the clustering of several cardiometabolic risk factors that can lead to the development of coronary heart disease and type 2 diabetes. We evaluated whether a change in aerobic fitness resulting from a lifestyle intervention could significantly change the odds of metabolic syndrome prevalence. |
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| 6869 |
Centers for Disease Control and Prevention |
Html |
en |
Report of Human Infection with Swine Origin Influenza A (H3N2) |
Report of Human Infection with Swine Origin Influenza A (H3N2) - CDC |
| type A influenza | 0.387265 |
| swine influenza virus | 0.550582 |
| CDC | 0.271294 |
| United States | 0.313033 |
| avian influenza viruses | 0.529866 |
| swine influenza | 0.88659 |
| ongoing human | 0.265205 |
| Test samples | 0.2657 |
| N2 genes | 0.298679 |
| main influenza type | 0.430618 |
| infected pigs | 0.306488 |
| North America | 0.29335 |
| infected animals | 0.29084 |
| H1N1 virus | 0.263052 |
| pigs | 0.393915 |
| pork products | 0.30076 |
| trH3N2 infection | 0.271581 |
| Weekly U.S. surveillance | 0.295349 |
| novel influenza viruses | 0.605904 |
| Swine flu viruses | 0.542486 |
| swine H3 | 0.371102 |
| total number | 0.257962 |
| local health partners | 0.298821 |
|
| exhibits housing pigs | 0.357946 |
| human-to-human transmission | 0.307548 |
| pig barns | 0.260465 |
| recent Minnesota case | 0.305252 |
| virus infections | 0.279236 |
| animal influenza viruses | 0.503904 |
| virus subtypes | 0.269242 |
| influenza viruses—viruses | 0.412851 |
| flu website | 0.265041 |
| close proximity | 0.262111 |
| human seasonal influenza | 0.426199 |
| high illness rates | 0.301888 |
| animal influenza surveillance | 0.442109 |
| human influenza virus | 0.431478 |
| human infections | 0.41892 |
| influenza viruses | 0.935931 |
| late 1990s | 0.30202 |
| U.S. surveillance | 0.314486 |
| flu season | 0.265284 |
| American swine herds | 0.409893 |
| illness onset | 0.257798 |
| human infection | 0.523607 |
| humans | 0.275775 |
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| 8295 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | A Qualitative Study ofPerceived Barriers to Fruit and Vegetable Consumption AmongLow-Income Populations, North Carolina, 2011 - CDC |
Obesity is the leading preventable cause of illness and a major contributor to chronic disease. Eating fresh fruits and vegetables can help manage and prevent weight gain and reduce the risk of chronic diseases. Low-income communities often lack stores that sell fresh fruit and vegetables and have instead stores that sell foods low in nutritional value. The objective of this study was to understand perceived community-level barriers to fruit and vegetable consumption among low-income people. |
| North Carolina | 0.645435 |
| high-quality fruits | 0.484478 |
| vegetable consumption | 0.720494 |
| low-income neighborhoods | 0.467256 |
| high school education | 0.440995 |
| low-income North Carolinians | 0.55367 |
| fresh vegetables | 0.461674 |
| community-level barriers | 0.483284 |
| Supplemental Nutrition Assistance | 0.439512 |
| fewer fruits | 0.419459 |
| grocery stores | 0.439695 |
| grocery store | 0.436091 |
| Focus group sessions | 0.447658 |
| fresh fruits | 0.785044 |
| fast food restaurants | 0.535557 |
| government assistance program | 0.442588 |
| Latina focus group | 0.668825 |
| low-income communities | 0.496385 |
| women | 0.43719 |
| access | 0.444915 |
| United States | 0.45148 |
| quality fresh fruits | 0.47164 |
| Focus group discussions | 0.447459 |
| Nutr Educ Behav | 0.428361 |
| vegetables | 0.931015 |
|
| societal norms | 0.605887 |
| low-income people | 0.596256 |
| individual-level barriers | 0.424316 |
| fruits | 0.822488 |
| Public Health Nutr | 0.437975 |
| focus groups | 0.964589 |
| Nutrition Assistance Program | 0.441265 |
| participants | 0.585755 |
| food environment | 0.62342 |
| low-income food deserts | 0.443642 |
| median annual household | 0.445329 |
| Durham focus group | 0.439679 |
| annual household income | 0.548446 |
| focus group guide | 0.448004 |
| focus group participants | 0.538081 |
| black male | 0.435712 |
| Chapel Hill | 0.448287 |
| food access | 0.432533 |
| black female | 0.560631 |
| major community-level barriers | 0.468201 |
| barriers | 0.494913 |
| North Carolina counties | 0.448499 |
| focus group | 0.938147 |
| low-income participants | 0.468986 |
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| 8456 |
Centers for Disease Control and Prevention |
Html |
en |
Smoking and Heart Disease and Stroke - Diseases & Conditions - Tips - Smoking & Tobacco Use |
The Tips From Former Smokers campaign features real people suffering as a result of smoking and exposure to secondhand smoke. |
| coronary artery disease | 0.621607 |
| Tobacco Smoke | 0.513732 |
| Million Hearts® initiative | 0.491187 |
| Human Services | 0.852384 |
| organ donation | 0.538859 |
| U.S. Department | 0.847524 |
| Health Promotion | 0.583061 |
| Disease Control | 0.762755 |
| secondhand smoke | 0.908143 |
| breathing secondhand smoke | 0.732396 |
| heart conditions | 0.495866 |
| blood flow | 0.521433 |
| heart problems | 0.478595 |
| National Center | 0.585659 |
| National Heart | 0.482746 |
| heart failure | 0.525556 |
| blood pressure | 0.497491 |
| products.9,11,12 Â Secondhand smoke | 0.56156 |
| heart muscle | 0.493014 |
| Tips® campaign participants | 0.493545 |
| blood vessels | 0.645784 |
| CVD.9 Smoking | 0.492479 |
| smoking quiz | 0.480037 |
| American Heart Association | 0.52619 |
| Nov | 0.565041 |
|
| Research Triangle Park | 0.489701 |
| heart transplant | 0.516746 |
| heart health | 0.510125 |
| Centers | 0.488969 |
| blood vessel | 0.509687 |
| heart attacks | 0.484782 |
| heart attack | 0.78328 |
| United States | 0.577315 |
| National Toxicology Program | 0.489059 |
| health consequences | 0.604921 |
| heart disease | 0.936678 |
| smoking | 0.606014 |
| Air Force veteran | 0.487844 |
| precious gift—a heart | 0.524591 |
| U.S. National Library | 0.50152 |
| Smoke Causes Disease | 0.539871 |
| secondhand smoke exposure | 0.622638 |
| health | 0.725176 |
| deadly heart attack | 0.535006 |
| stroke | 0.554518 |
| Chronic Disease Prevention | 0.724333 |
| Surgeon General | 0.595778 |
| Public Health Service | 0.513537 |
| coronary heart disease | 0.87088 |
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| 9272 |
Centers for Disease Control and Prevention |
Html |
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Preventing Chronic Disease - CDC: Volume 10, 2013: 12_0270 |
Volumen 10 — el 30 de mayo de 2013. |
| comunidad métodos | 0.899312 |
| observaciones soparc | 0.935792 |
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| 11301 |
Centers for Disease Control and Prevention |
Html |
en |
Disease Detective: Kelsey - CDC Responds to the 2014 Ebola Outbreak |
CDC works 24/7 saving lives, protecting people from health threats, and saving money to have a more secure nation. A US federal agency, CDC helps make the healthy choice the easy choice by putting science and prevention into action. CDC works to help people live longer, healthier and more productive lives. |
| community workers | 0.575719 |
| Ebola symptoms | 0.721612 |
| frightened local residents | 0.755979 |
| boatmen | 0.444208 |
| coffee plant | 0.560338 |
| Ebola outbreak | 0.792949 |
| symbolic gift | 0.555264 |
| remote area | 0.599912 |
| largely uneducated workers | 0.73455 |
| different backgrounds | 0.559447 |
| crazy time | 0.586527 |
| Crammed | 0.452615 |
| CDC training | 0.58011 |
| muddy stream | 0.576816 |
| fragile public health | 0.71695 |
| West African nations | 0.729189 |
| person | 0.526597 |
| community health workers | 0.980757 |
| Ebola patients | 0.730973 |
| village leaders | 0.575352 |
| Ebola | 0.955242 |
| nerve wracking | 0.600085 |
| small hotel | 0.585146 |
| Guinea | 0.508355 |
| post-natal care | 0.57616 |
|
| Kelsey | 0.799407 |
| Sierra Leone | 0.578544 |
| treatment center | 0.561743 |
| important key | 0.569044 |
| CDC disease detective | 0.763551 |
| important health messages | 0.71889 |
| awful hemorrhagic fever | 0.749355 |
| Sierra Leonean | 0.575334 |
| dirt runway | 0.595205 |
| epicenter | 0.442322 |
| tiny plane | 0.595043 |
| official language | 0.57249 |
| worst roads | 0.590193 |
| narrow river | 0.575338 |
| three-hour drive | 0.616093 |
| pickup truck | 0.60022 |
| landing path | 0.594922 |
| people | 0.632365 |
| healthcare resources | 0.570275 |
| international aid workers | 0.749511 |
| grateful village chief | 0.688616 |
| local language | 0.568438 |
| area villages | 0.574212 |
| suspected patient | 0.566466 |
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| 15250 |
Centers for Disease Control and Prevention |
Html |
en |
Solve Foodborne Outbreaks | CDC Features |
Did you know you can help disease detectives detect and solve foodborne disease outbreaks? Learn some ways you can help protect others from getting sick. |
| disease detectives | 0.510553 |
| Escherichia coli | 0.381081 |
| health care provider | 0.523997 |
| blood tests | 0.368476 |
| outbreak investigation | 0.393215 |
| common types | 0.375857 |
| U.S. Department | 0.368517 |
| similar outbreaks | 0.416355 |
| case-control study | 0.364999 |
| similar symptoms | 0.367248 |
| environmental testing information | 0.435825 |
| health department officials | 0.430069 |
| Health care providers | 0.437798 |
| foodborne illnesses | 0.499283 |
| foodborne disease outbreaks | 0.934123 |
| sick people | 0.487737 |
| public health officials | 0.422586 |
| short time | 0.378563 |
| healthy people | 0.375366 |
| important role | 0.371722 |
| foodborne illness | 0.512102 |
| state public health | 0.436604 |
| shopper card information | 0.422292 |
| medical conditions | 0.380215 |
|
| Health departments | 0.379245 |
| special events | 0.36863 |
| Disease Detective Investigations | 0.423327 |
| harmful germs | 0.394454 |
| Drug Administration | 0.365952 |
| outbreak investigations | 0.448519 |
| foodborne germs | 0.439586 |
| food diary | 0.390774 |
| local health department | 0.532946 |
| food receipts | 0.482606 |
| state health department | 0.628919 |
| foodborne disease detectives | 0.495071 |
| shopper card programs | 0.536465 |
| original packaging | 0.364996 |
| public health | 0.474381 |
| food poisoning | 0.640482 |
| food regulatory laboratories | 0.442861 |
| health department website | 0.444826 |
| health official contacts | 0.43274 |
| health department | 0.643934 |
| food eaten | 0.390835 |
| common source | 0.370341 |
| people | 0.52467 |
| epidemiologic study | 0.364956 |
|
CLICK HERE |