| 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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| 5954 |
Centers for Disease Control and Prevention |
Html |
en |
n-Propyl nitrate - 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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| 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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| 6851 |
Centers for Disease Control and Prevention |
Html |
en |
Progress Toward Global Polio Eradication - Africa, 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. |
| global polio eradication | 0.538909 |
| WPV1 transmission | 0.454029 |
| Angola | 0.424578 |
| Polio Eradication Dept | 0.40596 |
| WPV circulation | 0.366011 |
| reestablished transmission | 0.626001 |
| polio eradication activities | 0.398677 |
| transmission | 0.910966 |
| ongoing WPV transmission | 0.556686 |
| New WPV outbreaks | 0.509441 |
| polio-endemic country | 0.347876 |
| World Health Organization–accredited | 0.348012 |
| World Health | 0.427068 |
| undetected transmission | 0.371888 |
| WPV1 cases | 0.525019 |
| Polio Eradication Initiative | 0.44188 |
| countries | 0.596288 |
| indigenous wild poliovirus | 0.35448 |
| latest related case | 0.366147 |
| Chad. Reestablished transmission | 0.532538 |
| WPV cases | 0.536984 |
| recent case | 0.411702 |
| outbreaks | 0.612578 |
| earlier outbreaks | 0.352228 |
| polio eradication | 0.811184 |
|
| northern Nigeria | 0.41998 |
| Ongoing endemic transmission | 0.456754 |
| new WPV1 outbreaks | 0.471469 |
| Kasai Occidental outbreaks | 0.427385 |
| high population immunity | 0.351682 |
| African countries | 0.49426 |
| Multiple polio outbreaks | 0.44705 |
| population immunity | 0.517132 |
| new outbreaks | 0.566417 |
| endemic WPV transmission | 0.447699 |
| Nigeria | 0.715621 |
| large ROC outbreak | 0.372516 |
| Persistent WPV circulation | 0.361664 |
| cases | 0.566305 |
| separate WPV importations | 0.406728 |
| polio-free African countries | 0.395815 |
| Cote d'Ivoire | 0.392686 |
| WPV type | 0.364014 |
| polio supplementary immunization | 0.376014 |
| DRC | 0.440103 |
| Global Polio Laboratory | 0.408436 |
| WPV transmission | 0.83109 |
| Kinshasa Province outbreak | 0.380523 |
| new WPV3 outbreaks | 0.445071 |
|
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| 7439 |
Centers for Disease Control and Prevention |
Html |
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NCEH/ATSDR Epidemic Intelligence Service - Epi-Aid Investigations |
Epi-Aids and Field Investigations |
| environmental investigation | 0.741799 |
| elk river chemical | 0.879639 |
| river chemical spill | 0.884809 |
| Chlorine Gas Exposure | 0.779117 |
| emergency responses | 0.710243 |
| lead paint production | 0.770176 |
| environmental disease outbreaks | 0.832216 |
| fatal opiate-related overdoses | 0.765769 |
| Asthma-Related ER visits | 0.759162 |
| Fungal Infections Associated | 0.765017 |
| Rubidium-82 cardiac imaging | 0.739098 |
| mercaptan exposure | 0.720344 |
| vinyl chloride release | 0.738926 |
| quantify impact | 0.709521 |
| risk factors | 0.833092 |
| Community health effects | 0.763172 |
| liver disease | 0.782368 |
| Risk Assessment | 0.70914 |
| Undetermined source | 0.701558 |
| Weather Service NWS | 0.758198 |
| Undetermined burden | 0.714491 |
| Nile virus outbreak | 0.833421 |
| Medical chart review | 0.762014 |
| Migrant Farmworker Populations | 0.750549 |
|
| spill – west | 0.756016 |
| chikungunya virus infections | 0.79498 |
| Community Assessment | 0.707611 |
| Shelter Surveillance post | 0.744789 |
| Elevated radiation exposure | 0.768392 |
| rapid field assessment | 0.759002 |
| West Virginia | 0.754532 |
| disease outbreak | 0.936718 |
| Undetermined risk factors | 0.805031 |
| Ebola Virus Disease | 0.932946 |
| PEP Following Exposure | 0.786108 |
| Health Emergency Response | 0.774042 |
| New York | 0.763701 |
| field investigations | 0.701389 |
| homemade alcoholic beverage | 0.770274 |
| New Jersey | 0.760107 |
| assess exposure | 0.713797 |
| psychoactive substance-related intoxication | 0.770567 |
| childhood lead poisoning | 0.762264 |
| investigation | 0.751565 |
| NCEH EIS officers | 0.794488 |
| Poultry Processing Plant | 0.742954 |
| severe illness | 0.70179 |
| Virus Disease Importation | 0.825628 |
|
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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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| 10720 |
Centers for Disease Control and Prevention |
Html |
en |
CDC data show limited progress in reducing foodborne infections in 2013 | Press Release | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| baseline period | 0.514846 |
| foodborne infections | 0.748712 |
| food safety problems | 0.65428 |
| USDA’s Food | 0.539671 |
| food importers | 0.545957 |
| FoodNet | 0.745794 |
| state health departments | 0.747773 |
| U.S. Food | 0.555887 |
| culture�independent diagnostic tests | 0.568232 |
| FDA Food Safety | 0.656231 |
| campylobacter infections | 0.590859 |
| Salmonella Action Plan | 0.625365 |
| Foodborne Diseases Active | 0.67337 |
| Vibrio infections | 0.595153 |
| annual report card | 0.617152 |
| raw shellfish | 0.506701 |
| CDC’s Division | 0.53478 |
| foodborne illness | 0.737243 |
| FoodNet sites | 0.661878 |
| recent progress | 0.508835 |
| Environmental Diseases | 0.50636 |
| third-party auditors/certification bodies | 0.577661 |
| FoodNet surveillance | 0.658306 |
| Public Health Science | 0.589932 |
| food inspection | 0.556598 |
|
| cut-up poultry parts | 0.590859 |
| active tracking | 0.508407 |
| important public health | 0.62045 |
| United States | 0.515693 |
| Vibrio vulnificus | 0.539569 |
| animal food production | 0.628326 |
| foodborne germs | 0.609884 |
| salmonella rates | 0.555809 |
| bacterial enteric infection | 0.563416 |
| New standards | 0.508063 |
| salmonella infections | 0.630035 |
| CDC data | 0.549715 |
| food industry | 0.712305 |
| Shiga toxin-producing O157 | 0.574031 |
| food facilities | 0.551692 |
| food poisoning | 0.542308 |
| food safety grades | 0.686371 |
| produce farms | 0.507083 |
| unpasteurized milk | 0.576027 |
| FoodNet tracks | 0.685067 |
| food safety | 0.91386 |
| food transporters | 0.550997 |
| unsuspected foods | 0.510908 |
| dairy products | 0.507268 |
|
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| 11441 |
Centers for Disease Control and Prevention |
Html |
en |
CDC Telebriefing on the Update on Ebola outbreak in West Africa - 9-02 | Transcript |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| unsafe burial practices | 0.309324 |
| Ebola treatment unit | 0.667103 |
| ongoing CDC response | 0.324816 |
| rapid response team | 0.308004 |
| young woman | 0.35727 |
| standard medical care | 0.307653 |
| effective response | 0.309999 |
| Ebola virus | 0.458053 |
| widespread transmission | 0.301407 |
| Ebola outbreak | 0.569496 |
| number | 0.348688 |
| basic health services | 0.323865 |
| Routine health care | 0.326793 |
| things | 0.331287 |
| experienced Ebola experts | 0.449472 |
| single additional case | 0.303884 |
| health care facility | 0.336759 |
| world health organization | 0.327303 |
| burial practices | 0.3121 |
| personal protective equipment | 0.696612 |
| patients | 0.43395 |
| tom frieden | 0.801101 |
| countries | 0.582964 |
| body fluids | 0.392326 |
| obvious health impact | 0.316271 |
|
| Employee Health Newsletter | 0.309952 |
| health care facilities | 0.345402 |
| private sector | 0.327389 |
| safe health care | 0.340111 |
| Ebola patients | 0.42135 |
| Ebola | 0.954372 |
| director Tom Frieden | 0.369423 |
| Sierra Leone | 0.470456 |
| Ebola cases | 0.420631 |
| world | 0.365511 |
| health care workers | 0.589621 |
| burial team | 0.35467 |
| health care | 0.845366 |
| efficient management systems | 0.302825 |
| MSF | 0.312916 |
| health care worker | 0.3261 |
| Ebola treatment center | 0.538359 |
| people | 0.680762 |
| KATHERINE LYON DANIEL | 0.31175 |
| West Africa | 0.485982 |
| response | 0.34435 |
| vince sims | 0.326722 |
| window | 0.330326 |
| Dr. Frieden | 0.353132 |
|
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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 |