| 6448 |
Centers for Disease Control and Prevention |
Html |
en |
New, Simpler Way to Treat Latent TB Infection | CDC Features |
Treating latent tuberculosis (TB) infection to prevent progression to TB disease is a cornerstone of the U.S. strategy for TB elimination. |
| latent TB infection | 0.956274 |
| United States | 0.335827 |
| TB infection treatment | 0.297779 |
| TB cases | 0.276967 |
| TB disease | 0.535667 |
|
| TB elimination | 0.302581 |
| 12-dose regimen | 0.31008 |
| latent tuberculosis | 0.215124 |
| people | 0.222489 |
|
CLICK HERE |
| 8094 |
Centers for Disease Control and Prevention |
Html |
en |
Update: Influenza Activity - United States, September 30,2012-February 9, 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. |
| influenza | 0.993293 |
| 2012-13 influenza season | 0.606989 |
| influenza hospitalization surveillance | 0.774764 |
| CDC influenza surveillance | 0.617131 |
| little influenza virus | 0.589553 |
| United States | 0.635638 |
| Influenza Div | 0.57906 |
| novel influenza | 0.628215 |
| influenza B. | 0.564916 |
| influenza A viruses | 0.642465 |
| clinician-ordered influenza testing | 0.585203 |
| seasonal influenza vaccination | 0.595344 |
| New York City | 0.546607 |
| influenza B component | 0.593323 |
| influenza antiviral medications | 0.599245 |
| previous influenza seasons | 0.580939 |
| Year-round influenza surveillance | 0.596377 |
| influenza B viruses | 0.717128 |
| high ILI activity | 0.583059 |
| Cities Mortality Reporting | 0.631006 |
| laboratory-confirmed influenza | 0.669325 |
| influenza A virus | 0.605944 |
| Influenza surveillance reports | 0.609461 |
|
| influenza vaccine | 0.647405 |
| New York | 0.599928 |
| influenza season | 0.843298 |
| influenza B infection | 0.580877 |
| World Health Organization | 0.608156 |
| influenza activity | 0.720977 |
| laboratory-confirmed influenza infection | 0.608988 |
| U.S. influenza activity* | 0.637861 |
| influenza vaccine components | 0.598408 |
| influenza ††| 0.58786 |
| Enteric Virus Surveillance | 0.561435 |
| annual influenza vaccine | 0.595498 |
| influenza complications | 0.582043 |
| Sporadic influenza activity | 0.619669 |
| influenza seasons | 0.696866 |
| ILI activity | 0.621927 |
| influenza surveillance | 0.627014 |
| influenza viruses | 0.736925 |
| influenza virus | 0.616487 |
| influenza antiviral resistance | 0.599092 |
| influenza-associated hospitalizations | 0.584205 |
| additional Influenza Hospitalization | 0.63438 |
|
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| 8777 |
Centers for Disease Control and Prevention |
Html |
en |
Dialysis - Core Interventions |
Information for healthcare providers about dialysis |
| hemodialysis session | 0.359154 |
| bacitracin/gramicidin/polymyxin b ointment | 0.676314 |
| NHSN facilities | 0.350025 |
| certain catheters | 0.367287 |
| Actively share results | 0.481102 |
| antimicrobial ointment | 0.647015 |
| catheter removal | 0.713304 |
| connector device | 0.42121 |
| hemodialysis catheter exit | 0.983737 |
| hand hygiene opportunities | 0.472515 |
| catheter accessing | 0.772873 |
| catheter manufacturer | 0.689877 |
| dialysis unit | 0.356854 |
| single antibiotic ointments | 0.527364 |
| facility rates | 0.350262 |
| time catheter | 0.722435 |
| Assess staff adherence | 0.475773 |
| front-line clinical staff | 0.507673 |
| permanent vascular access | 0.488533 |
| catheter exit site | 0.809282 |
| central line insertion | 0.451139 |
| patient education | 0.430139 |
| hand hygiene | 0.578162 |
| povidone-iodine ointment | 0.571188 |
|
| catheter | 0.995889 |
| Scrub catheter hubs | 0.821818 |
| share results | 0.621441 |
| catheter exit sites | 0.818097 |
| catheter care | 0.745293 |
| povidone-iodine ointments | 0.391889 |
| clinical staff | 0.609426 |
| vascular access coordinator | 0.488345 |
| Staff Education | 0.36356 |
| skin antiseptic agent | 0.47229 |
| vascular access care | 0.703917 |
| National Healthcare Safety | 0.477078 |
| antibiotic ointment | 0.717503 |
| infection control topics | 0.463868 |
| Data Reports | 0.349826 |
| Provide standardized education | 0.455968 |
| povidone iodine ointment | 0.66799 |
| chlorhexidine-impregnated sponge dressing | 0.471752 |
| Catheter Compatibility page | 0.785917 |
| catheter material | 0.688071 |
| dialysis events | 0.37778 |
| infection prevention topics | 0.45951 |
| catheter insertion | 0.699874 |
| access management | 0.351436 |
|
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| 9612 |
Centers for Disease Control and Prevention |
Html |
en |
Asthma - BRFSS 2008 - Child Asthma Data - Technical Information |
BRFSS 2008 - Child Asthma Data - Technical Information |
| Child asthma prevalence | 0.556421 |
| Research Triangle Institute | 0.394125 |
| normal distribution approximation | 0.393185 |
| Information Processing Standard | 0.397768 |
| randomly selected adult | 0.413955 |
| Prevalence Numbers | 0.411022 |
| multiple questionnaire version | 0.403252 |
| Random Child Selection | 0.923056 |
| Selection optional module | 0.422139 |
| BRFSS survey | 0.372021 |
| Small Sample Size | 0.393007 |
| standard error estimates | 0.413636 |
| Lifetime asthma | 0.414001 |
| Thirty-nine states | 0.3684 |
| standard error | 0.497045 |
| subgroup tables | 0.399155 |
| prevalence value | 0.407951 |
| version specific datasets | 0.395925 |
| Question number | 0.395215 |
| available text size | 0.417063 |
| Research Triangle Park | 0.394071 |
| pleasing results | 0.363742 |
| portrait orientation | 0.360985 |
| PDF files | 0.364078 |
| Asthma optional modules | 0.859679 |
|
| Current asthma | 0.414565 |
| callable SUDAAN Release | 0.398497 |
| child asthma questions | 0.493404 |
| Survey Questions | 0.362003 |
| prevalence estimates | 0.422802 |
| ADA assisted technology | 0.409568 |
| states | 0.379918 |
| sample states | 0.36615 |
| prevalence estimate | 0.408952 |
| BRFSS Random Child | 0.582317 |
| Childhood Asthma Prevalence | 0.539481 |
| (sep) | 0.394579 |
| 50 states | 0.369131 |
| PDF format | 0.364262 |
| lower limit | 0.389654 |
| prevalence percent | 0.408667 |
| questionnaire version | 0.405957 |
| BRFSS User | 0.368725 |
| non-institutionalized civilian adults | 0.410715 |
| HTML-formatted tables | 0.372837 |
| Codes Used | 0.363154 |
| Childhood Asthma | 0.67136 |
| calculated standard error | 0.407732 |
| confidence interval | 0.452747 |
|
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| 10836 |
Centers for Disease Control and Prevention |
Html |
en |
Measles: For Healthcare Professionals |
null |
| healthcare providers | 0.429719 |
| measles importations | 0.538007 |
| evidence | 0.373936 |
| United States | 0.415307 |
| endemic measles virus | 0.563522 |
| maximum dose | 0.34992 |
| Health Organization measles | 0.527965 |
| Dr. Jane Seward | 0.349636 |
| measles immunity | 0.563447 |
| viral respiratory illness | 0.351422 |
| measles vaccination recommendations | 0.537145 |
| measles cases | 0.712231 |
| Advisory Committee | 0.349216 |
| severe measles | 0.542319 |
| pregnant women | 0.364238 |
| measles component | 0.522749 |
| live measles vaccine | 0.606393 |
| measles outbreaks | 0.511952 |
| measles vaccine | 0.608898 |
| measles viruses | 0.527012 |
| measles clinical features | 0.579184 |
| measles virus | 0.64975 |
| post-exposure vaccine | 0.359934 |
| initial measles exposure | 0.536498 |
|
| sporadic measles cases | 0.55895 |
| wild-type measles virus | 0.551295 |
| enveloped RNA virus | 0.353674 |
| recent measles vaccination | 0.550331 |
| measles vaccination | 0.591776 |
| people | 0.422544 |
| compatible measles symptoms | 0.551203 |
| Severe measles cases | 0.535505 |
| dose | 0.410035 |
| healthcare provider | 0.353207 |
| Single-antigen measles vaccine | 0.583557 |
| measles deaths | 0.540558 |
| measles RNA | 0.528729 |
| measles-containing vaccine | 0.36435 |
| primary vaccine failure | 0.382022 |
| airborne precautions | 0.357021 |
| febrile rash illness | 0.390177 |
| MMR vaccine failure | 0.428001 |
| presumptive immunity status | 0.361193 |
| measles | 0.969951 |
| Measles Lab Tools | 0.547545 |
| MMR vaccine | 0.786201 |
| measles patient | 0.532985 |
|
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| 11450 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Buying Food on Sale: A Mixed Methods Study With Shoppers at an Urban Supermarket, Philadelphia, Pennsylvania, 2010"2012 - CDC |
The obesity epidemic has drawn attention to food marketing practices that may increase the likelihood of caloric overconsumption and weight gain. We explored the associations of discounted prices on supermarket purchases of selected high-calorie foods (HCF) and more healthful, low-calorie foods (LCF) by a demographic group at high risk of obesity. |
| low-calorie foods | 0.522734 |
| foods | 0.615144 |
| food price effects | 0.554858 |
| Supplemental Nutrition | 0.525383 |
| sale price | 0.523342 |
| food marketing practices | 0.558399 |
| robust standard errors | 0.516279 |
| Focus group data | 0.538953 |
| price | 0.641298 |
| shoppers | 0.585696 |
| Supplemental Nutrition Assistance | 0.517011 |
| food purchases | 0.534977 |
| effects logistic regression | 0.519921 |
| savory snacks | 0.544583 |
| purchases | 0.582727 |
| food category | 0.541766 |
| food purchase data | 0.563716 |
| HCF | 0.639724 |
| price reductions | 0.629061 |
| demographically similar shoppers | 0.519952 |
| LCF | 0.569572 |
| high-calorie foods | 0.546235 |
| supermarket purchase data | 0.546494 |
| food prices | 0.606764 |
| study | 0.617071 |
|
| excess weight gain | 0.518158 |
| American female shoppers | 0.52495 |
| low-fat dairy products | 0.61307 |
| sweet snacks | 0.582824 |
| qualitative data | 0.549451 |
| grain-based snacks | 0.545639 |
| focus groups | 0.578608 |
| price discounts | 0.530496 |
| Nutrition Assistance Program | 0.520434 |
| public health | 0.653394 |
| sale prices | 0.535151 |
| focus group questions | 0.533678 |
| sale versus | 0.535982 |
| focus group participants | 0.66866 |
| food | 0.709119 |
| purchase data | 0.814614 |
| sale | 0.739472 |
| advertised price reductions | 0.516272 |
| Einstein Healthcare Network | 0.588344 |
| focus group | 0.918415 |
| food purchase transactions | 0.534118 |
| healthful foods | 0.526036 |
| verbatim focus group | 0.520248 |
| study store | 0.517399 |
|
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| 11547 |
Centers for Disease Control and Prevention |
Html |
en |
CDC Telebriefing: New Vital Signs Report What can be done to help children eat less sodium? | Transcript | CDC Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| ePub file | 0.664553 |
| Audio/Video file | 0.626536 |
| FOIA | 0.493424 |
| Email CDC-INFO | 0.590708 |
| Policies | 0.431778 |
| Funding | 0.441704 |
| Tweet | 0.480607 |
| MENU
CDC A-Z | 0.930535 |
| Human Services | 0.588278 |
| U.S. Department | 0.589495 |
| Privacy | 0.446113 |
| Clifton Road Atlanta | 0.762876 |
| Jobs | 0.432182 |
|
| TTY | 0.481182 |
| GA | 0.439971 |
| SEARCH | 0.438258 |
| OIG | 0.492399 |
| YouTube | 0.462473 |
| Fear | 0.44795 |
| RSS | 0.445282 |
| Act | 0.430671 |
| Text file | 0.607935 |
| Instagram | 0.433038 |
| SAS file | 0.628457 |
| RealPlayer file | 0.633956 |
|
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| 11551 |
Centers for Disease Control and Prevention |
Html |
en |
Healthy Eating for a Healthy Weight: Fruits and Vegetables |
There are many different ways to lose or maintain a healthy weight. Using more fruits and vegetables along with whole grains and lean meats, nuts, and beans is a safe and healthy one. Learn more. |
| different ways | 0.392003 |
| extra calories | 0.579647 |
| low-fat cooking techniques | 0.434421 |
| low-calorie dip | 0.38966 |
| fewer calories | 0.884661 |
| total calories | 0.566387 |
| healthy eating plan | 0.46099 |
| lower-calorie versions | 0.384333 |
| dinner plate | 0.373951 |
| medium orange | 0.372849 |
| original version | 0.375149 |
| natural sweetness | 0.377513 |
| bigger size snack | 0.437259 |
| red peppers | 0.380799 |
| favorite dish | 0.388368 |
| Substitute vegetables | 0.541199 |
| small-size plate | 0.378598 |
| satisfying snack | 0.380349 |
| favorite vegetable | 0.373829 |
| essential vitamins | 0.380888 |
| small apple | 0.3745 |
| good look | 0.378094 |
| cup | 0.420207 |
| higher-calorie ingredients | 0.377955 |
| favorite broth-based soup | 0.44405 |
|
| good proportion | 0.377128 |
| fruit drinks | 0.377676 |
| lean meats | 0.388183 |
| high-calorie snack | 0.378221 |
| vegetables | 0.92041 |
| largest portion | 0.377084 |
| Eat fruits | 0.522391 |
| fruits | 0.682093 |
| favorite dishes | 0.381815 |
| low-fat dressings | 0.379427 |
| total number | 0.374361 |
| snack-sized bag | 0.374334 |
| Fruit juices | 0.37874 |
| white pasta | 0.377224 |
| chronic diseases | 0.386496 |
| good health | 0.383763 |
| 6-ounce serving | 0.374984 |
| way nature provided—or | 0.435896 |
| healthy weight | 0.38555 |
| low-calorie fruits | 0.47851 |
| cut-up bananas | 0.392813 |
| new version | 0.37992 |
| morning omelet | 0.379912 |
| cut-up vegetables | 0.530792 |
|
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| 12330 |
Centers for Disease Control and Prevention |
Html |
en |
Personal Protective Equipment (PPE) | Ebola Virus Disease |
null |
| Ebola Virus Infection | 0.672008 |
| Interim U.S. Guidance | 0.48762 |
| Ebola Questions | 0.641259 |
| Africa Ebola Outbreak | 0.69405 |
| Confirmed Ebola Patients | 0.707942 |
| Previous Outbreak Updates | 0.481831 |
| Interfacility Transport Guidance | 0.478502 |
| Potential Ebola Virus | 0.689178 |
| page options Skip | 0.465108 |
| Clinically Unstable PUIs | 0.497647 |
| PPE Donning | 0.490638 |
| Sierra Leone Vaccine | 0.483203 |
| Ebola Treatment Centers | 0.669702 |
| Outbreak Preparedness | 0.464464 |
| Clinically Stable PUIs | 0.49382 |
| Emergency Department Guidance | 0.479623 |
| Web-based PPE Training | 0.517303 |
| Disinfecting Hospital Guidance | 0.481963 |
| Ebola Epidemic | 0.631393 |
| Ebola Assessment Hospitals | 0.640293 |
| Virus Exposure Influenza | 0.47593 |
| Ebola Diagnosed | 0.631795 |
| Ebola PPE | 0.72088 |
| U.S. Healthcare Workers | 0.466715 |
|
| Current Ebola Treatment | 0.643378 |
| Sierra Leone | 0.501164 |
| Search Form Controls | 0.51018 |
| Patient Handoff SOP | 0.486428 |
| Confirmed Ebola Virus | 0.669478 |
| West Africa Outbreak | 0.496942 |
| Ebola Hemorrhagic Fever | 0.676476 |
| Ebola Virus Disease | 0.818979 |
| Suspected Ebola Patients | 0.644013 |
| Personal Protective Equipment | 0.631934 |
| Ebola Survivors Questions | 0.655864 |
| PPE Supply | 0.519616 |
| Tiered Approach | 0.472925 |
| Healthcare Settings Guidance | 0.497473 |
| Outbreak Distribution Map | 0.481052 |
| Search Controls | 0.463893 |
| Handling Untreated Sewage | 0.485179 |
| Ebola Transmission | 0.6166 |
| Ebola Virus Exposure | 0.688606 |
| Interim Guidance | 0.469236 |
| Ebola Response Planning | 0.650089 |
| PPE Calculator | 0.518452 |
| Ebola Virus | 0.914361 |
| West Africa | 0.52527 |
|
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| 13562 |
Centers for Disease Control and Prevention |
Html |
en |
Lack of Healthy Food in Small-Size to Mid-Size Retailers Participating in the Supplemental Nutrition Assistance Program, Minneapolis–St. Paul, Minnesota, 2014 |
Preventing Chronic Disease (PCD) is a peer-reviewed electronic journal established by the National Center for Chronic Disease Prevention and Health Promotion. PCD provides an open exchange of information and knowledge among researchers, practitioners, policy makers, and others who strive to improve the health of the public through chronic disease prevention. |
| food stores | 0.699162 |
| healthy food choices | 0.57816 |
| Supplemental Nutrition | 0.789727 |
| Supplemental Nutrition Program | 0.740202 |
| WIC food package | 0.53745 |
| mid-size food stores | 0.644193 |
| eligible stores | 0.527885 |
| small stores | 0.609086 |
| urban corner stores | 0.540484 |
| Prev Med | 0.538995 |
| healthy food | 0.747181 |
| Supplemental Nutrition Assistance | 0.669254 |
| SNAP-participating stores | 0.524865 |
| corner stores | 0.634578 |
| Special Supplemental Nutrition | 0.743138 |
| specialty stores | 0.541208 |
| SNAP program | 0.532995 |
| quality scores | 0.555111 |
| whole-grain–rich products | 0.528952 |
| additional SNAP benefits | 0.524489 |
| healthy foods | 0.961677 |
| healthy food access | 0.58999 |
| convenience stores | 0.661882 |
| fewer SNAP clients | 0.525788 |
|
| smaller stores | 0.576773 |
| Stores tool | 0.532109 |
| SNAP policy change | 0.589275 |
| SNAP minimum stocking | 0.528977 |
| small food stores | 0.68856 |
| Public Health Nutr | 0.63248 |
| Nutrition Assistance Program | 0.672299 |
| SNAP participants | 0.62615 |
| incomplete SNAP data | 0.54425 |
| healthy SNAP purchasing | 0.61208 |
| stores | 0.872414 |
| St. Paul | 0.533353 |
| whole-grain–rich foods | 0.551612 |
| fewer stores | 0.531595 |
| SNAP | 0.667338 |
| dollar stores | 0.561489 |
| Philadelphia corner stores | 0.540973 |
| brown rice | 0.563643 |
| dark green vegetables | 0.595405 |
| healthy food availability | 0.697196 |
| minimum stocking standards | 0.548615 |
| SNAP benefits | 0.553817 |
| et al | 0.543739 |
| liquor stores | 0.528133 |
|
CLICK HERE |