| 1134 |
Centers for Disease Control and Prevention |
Html |
null |
Vital Signs: Disability and Physical Activity - UnitedStates, 2009-2012 |
On May 6, 2014, this report was posted as an MMWR Early Release on the MMWR website (http://www.cdc.gov/mmwr). |
|
|
CLICK HERE |
| 4566 |
Centers for Disease Control and Prevention |
Html |
en |
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 |
|
CLICK HERE |
| 5981 |
Centers for Disease Control and Prevention |
Html |
en |
o-Xylene - 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 |
|
CLICK HERE |
| 7441 |
Centers for Disease Control and Prevention |
Html |
en |
About Cancer Clusters |
About Cancer Clusters |
| address cancer clusters | 0.597771 |
| cancer statistics | 0.453949 |
| death | 0.326209 |
| http://www.cdc.gov/other.htm#states | 0.324581 |
| United States | 0.585132 |
| similar characteristic | 0.458824 |
| occupations | 0.330208 |
| possible causes | 0.435422 |
| complex nature | 0.454884 |
| local health department | 0.541129 |
| greater-than-expected number | 0.42986 |
| result | 0.366515 |
| division | 0.326764 |
| hazard | 0.331781 |
| state health department | 0.850352 |
| term | 0.326891 |
| results | 0.327925 |
| cancer cluster | 0.910836 |
| deaths | 0.328942 |
| group | 0.327958 |
|
| area | 0.324783 |
| types | 0.324 |
| uncontrollable cell growth | 0.594379 |
| cases | 0.342602 |
| external cause | 0.475078 |
| Follow-up investigations | 0.462957 |
| different diseases | 0.447205 |
| lives | 0.325263 |
| Americans | 0.324016 |
| community | 0.32494 |
| heart | 0.326102 |
| form | 0.325747 |
| cancer registry contact | 0.554584 |
| case definition | 0.432948 |
| response | 0.324385 |
| cancers | 0.375003 |
| health department gathers | 0.545859 |
| information | 0.381759 |
| Confirmation | 0.334422 |
| e.g. | 0.324017 |
|
CLICK HERE |
| 7491 |
Centers for Disease Control and Prevention |
Html |
en |
Selected Publications on Cancer Clusters and Investigations |
Cancer Clusters Publications |
| useful information | 0.545524 |
| residential histories | 0.513326 |
| Cartwright RA | 0.545762 |
| statistical tools | 0.533219 |
| navigation Skip | 0.621652 |
| cancer cluster investigations | 0.708385 |
| Alexander FE | 0.514157 |
| Disease Control | 0.646875 |
| CA Cancer | 0.562218 |
| health events | 0.535061 |
| cancer clusters | 0.925367 |
| list Skip | 0.629332 |
| geographic clustering | 0.542208 |
| page options Skip | 0.754221 |
| Case clustering | 0.559119 |
| Radiat Environ Biophys | 0.654152 |
| cross-space-time clustering analyses | 0.637095 |
| Johnson RA | 0.544644 |
| Eur J Epidemiol. | 0.567198 |
| Environ Health. | 0.548547 |
| simple simulations | 0.528972 |
| Caldwell GG | 0.6894 |
| Cancer Invest | 0.598655 |
| Eur J Cancer. | 0.543096 |
| Understanding cancer clusters | 0.811935 |
|
| Medl J Aust | 0.536888 |
| Aldrich TE | 0.555065 |
| Nriagu J. Global | 0.621558 |
| J. Answering cluster | 0.666705 |
| MMWR Morb Mortal | 0.638993 |
| McNally RJ | 0.526259 |
| Thun MJ | 0.533527 |
| certain childhood malignancies | 0.613634 |
| case-control data | 0.532157 |
| small-area cancer incidence | 0.652446 |
| New York | 0.534735 |
| Iyengar VS | 0.517406 |
| Methods Inf Med. | 0.617749 |
| Ohio State University | 0.615911 |
| flexible shapes | 0.510123 |
| M. A simulation | 0.514719 |
| Jacquez GM | 0.519854 |
| Space-time clusters | 0.677241 |
| American Council | 0.636717 |
| Wkly Rep. | 0.520599 |
| Birch JM | 0.519409 |
| public health responses | 0.65054 |
| Jagger HG | 0.5449 |
| Heath CW | 0.663344 |
|
CLICK HERE |
| 7643 |
Centers for Disease Control and Prevention |
Html |
en |
Science Clips - Monday, November 12, 2012 |
null |
| Legionella pneumophila serogroup | 0.872804 |
| ambulatory surgical centers | 0.902396 |
| critically ill patients | 0.862488 |
| Xia GL | 0.863758 |
| Tipton ML | 0.866866 |
| Risk factors | 0.861114 |
| sickle cell disease | 0.886975 |
| school-located influenza vaccination | 0.864863 |
| New York City | 0.861072 |
| analgesic prescribing patterns | 0.861427 |
| Matern Child Health | 0.874766 |
| CDC Science Clips | 0.878624 |
| health insurance coverage | 0.874207 |
| High diabetes prevalence | 0.868879 |
| Science Clips Production | 0.864123 |
| end-stage renal disease | 0.886274 |
| Clin Infect Dis. | 0.886613 |
| real-time PCR assay | 0.906601 |
| Nov | 0.965224 |
| Schaefer MK | 0.932401 |
| quality control limits | 0.864187 |
| Infection control assessment | 0.870239 |
| young black men | 0.868389 |
| health care settings | 0.867134 |
|
| AIDS Patient Care | 0.870426 |
| Messonnier ML | 0.867896 |
| United States | 0.864654 |
| Dube NL | 0.863649 |
| drug susceptibility testing | 0.873169 |
| immunomagnetic scavenging technique | 0.862651 |
| Perz JF | 0.919661 |
| health care workers | 0.883801 |
| Infection control practices | 0.868284 |
| PLos One. | 0.879479 |
| Bartonella henselae-mediated disease | 0.878687 |
| Cho BH | 0.863321 |
| HIV disease progression | 0.881263 |
| public health literature | 0.870527 |
| microdilution susceptibility testing | 0.866141 |
| rickettsii real-time PCR | 0.862424 |
| B. Thacker CDC | 0.872938 |
| systematic review | 0.867841 |
| Clin Microbiol. | 0.87121 |
| et al | 0.907252 |
| porcinus-Streptococcus pseudoporcinus complex | 0.861268 |
| hormonal contraceptive methods | 0.879396 |
| unsafe injection practices | 0.902269 |
| Infectious disease burden | 0.88421 |
|
CLICK HERE |
| 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 |
|
CLICK HERE |
| 8870 |
Centers for Disease Control and Prevention |
Html |
en |
MERS-Frequently Asked Questions |
CDC Coronavirus: Coronaviruses are common throughout the world. They can infect people and animals. Five different coronaviruses can infect people and make them sick. They usually cause mild to moderate upper-respiratory illness. |
| general public | 0.484912 |
| CDC | 0.577847 |
| Interim Infection Prevention | 0.48167 |
| Provides Quick Answers | 0.47853 |
| recent travel | 0.508425 |
| longer exposure time | 0.473929 |
| MERS-CoV | 0.607542 |
| Respiratory Syndrome Coronavirus | 0.522915 |
| MERS treatment | 0.607326 |
| MERS case | 0.672753 |
| public health authorities | 0.47961 |
| MERS symptoms | 0.630988 |
| MERS situation | 0.665338 |
| public health department | 0.481831 |
| Emergency Medical Service | 0.479175 |
| personal protective equipment | 0.59002 |
| CDC Laboratory Testing | 0.503488 |
| World Health Organization | 0.486034 |
| U.S. Executive Order | 0.479509 |
| CDC Interim U.S. | 0.509553 |
| public health partners | 0.488675 |
| active MERS-CoV infection | 0.498994 |
| MERS cases | 0.700785 |
| lab testing capacity | 0.478321 |
| U.S. MERS story | 0.65747 |
|
| East Respiratory Syndrome | 0.643151 |
| up-to-date information | 0.48341 |
| Arabian Peninsula | 0.670136 |
| respiratory illness | 0.621152 |
| United States | 0.484677 |
| Advanced Molecular Detection | 0.478728 |
| CDC’s job | 0.479682 |
| MERS Coronavirus | 0.622443 |
| MERS prevention | 0.612656 |
| viral respiratory illness | 0.518662 |
| Saudi Arabia | 0.538134 |
| infection control precautions | 0.485223 |
| complete virus genome | 0.482933 |
| acute respiratory syndrome | 0.490219 |
| close contact | 0.719088 |
| public health | 0.565269 |
| potential public health | 0.491099 |
| Middle East Respiratory | 0.645311 |
| travel-associated MERS cases | 0.668431 |
| United Arab Emirates | 0.552908 |
| people | 0.489452 |
| MERS-CoV infection | 0.559216 |
| healthcare provider | 0.613756 |
| enzyme-linked immunosorbent assay | 0.472325 |
|
CLICK HERE |
| 8963 |
Centers for Disease Control and Prevention |
Html |
null |
Eliminating Perinatal HIV Transmission |
null |
|
|
CLICK HERE |
| 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 |