| 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 |
|
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| 6487 |
Centers for Disease Control and Prevention |
Html |
en |
The association of natural elements and trail use by adults |
We used the System for Observing Play and Recreation in Communities to examine the association between variations in natural elements (ie, season, weather, and temperature) and adults’ use of a rail-trail in South Carolina (2006-2009). |
| observed walking | 0.543631 |
| demographic characteristics | 0.577672 |
| cloudy weather | 0.583977 |
| Adult trail | 0.568691 |
| data collection lend | 0.552188 |
| trail | 0.938503 |
| vigorous PA | 0.915177 |
| downtown business district | 0.571718 |
| weather | 0.80637 |
| season | 0.56512 |
| Diego State University | 0.564234 |
| vigorous physical activity | 0.666207 |
| sunny weather | 0.724488 |
| historic residential neighborhoods | 0.574109 |
| favorable conditions | 0.558258 |
| continued trail | 0.549253 |
| trail planners | 0.5454 |
| temperature adjusting | 0.525762 |
| Anna E. Price | 0.547347 |
| vigorous activity | 0.601986 |
| trained observers | 0.550647 |
| desirable weather conditions | 0.604522 |
| Furman University | 0.57762 |
| trail observers | 0.624323 |
|
| adults | 0.779717 |
| University institutional review | 0.575227 |
| Test–retest correlation coefficients | 0.571363 |
| South Carolina | 0.797286 |
| quarterly observation periods | 0.558879 |
| variations | 0.514238 |
| low temperatures | 0.512362 |
| PA behavior | 0.659767 |
| Mary Black Foundation | 0.551893 |
| 2-mile urban rail-trail | 0.578845 |
| Sacred Heart University | 0.560864 |
| trail user demographics | 0.643623 |
| Logistic regression models | 0.563394 |
| Julian A. Reed | 0.550077 |
| high temperatures | 0.512949 |
| Steve P. Hooker | 0.556754 |
| favorable weather conditions | 0.740037 |
| trail users | 0.788445 |
| environmental supports | 0.553593 |
| moderate temperatures | 0.751281 |
| natural elements | 0.781862 |
| initial trail | 0.548901 |
| Public Health Service | 0.561538 |
| Arizona State University | 0.566801 |
|
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| 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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| 10518 |
Centers for Disease Control and Prevention |
Html |
en |
Continuing Education Credits'Clinician Outreach and Communication Activity (COCA) |
CDC Clinician Outreach and Communication Activity (COCA). Providing clinicians the most current and reliable information on emerging public health threats, such as pandemics, natural disasters, and bioterrorism. |
| extent | 0.33976 |
| veterinary profession | 0.382269 |
| Universal Activity Number | 0.460578 |
| education | 0.689944 |
| National Commission | 0.388115 |
| education opportunities | 0.431796 |
| pre-approved provider | 0.39239 |
| Accreditation Council | 0.49112 |
| certain categories | 0.382972 |
| physicians | 0.351425 |
| Disease Control | 0.901726 |
| management strategies | 0.404422 |
| cph recertification credits | 0.758498 |
| public’s health | 0.410035 |
| knowledge | 0.335804 |
| live activity | 0.397031 |
| total Category | 0.38489 |
| TCEOnline | 0.331237 |
| American Nurses | 0.391943 |
| assistance please contact | 0.384993 |
| education contact | 0.518067 |
| CEU | 0.383637 |
| Master Certified Health | 0.471512 |
| unofficial statement | 0.388718 |
|
| participation | 0.333409 |
| Centers | 0.445998 |
| AMA PRA Category | 0.473647 |
| AAVSB RACE program | 0.56577 |
| Certified Health Education | 0.575937 |
| human populations | 0.402748 |
| certain methods | 0.382886 |
| National Board | 0.447136 |
| Prevention | 0.445857 |
| CECH | 0.329551 |
| Health Education Specialists | 0.580359 |
| threats | 0.333803 |
| CDC provider number | 0.470155 |
| Health Education Credentialing | 0.502698 |
| level continuing education | 0.504207 |
| Continuing Nursing Education | 0.512775 |
| Continuing Medical Education | 0.528213 |
| education units | 0.406494 |
| pharmacy education | 0.523381 |
| NBPHE | 0.339272 |
| COCA continuing education | 0.644059 |
| NABP/CPE Monitor | 0.383787 |
| maximum | 0.334979 |
| Public Health Examiners | 0.564682 |
|
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| 10816 |
Centers for Disease Control and Prevention |
Html |
en |
QuickStats: Percentage of Adults Aged ?18 Years Ever Told They Had Diabetes by a Doctor or Health Professional, by Race/Ethnicity --- National Health Interview Survey, United States, 2004--2008 |
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. | 0.480073 |
| annual surveys | 0.467253 |
| endorsement | 0.366607 |
| Alternate Text | 0.452424 |
| Human Services | 0.5692 |
| assistive technology | 0.487541 |
| blacks | 0.363428 |
| MMWR HTML versions | 0.57121 |
| U.S. Department | 0.560091 |
| reliable estimates | 0.479022 |
| electronic PDF version | 0.564745 |
| household interviews | 0.459345 |
| American Indian/Alaska Natives | 0.940521 |
| Female respondents | 0.500292 |
| Contact GPO | 0.474383 |
| commercial sources | 0.453832 |
| age groups | 0.463244 |
| current prices | 0.449177 |
| persons | 0.482157 |
| standard population | 0.467053 |
| original paper copy | 0.569911 |
| sample sizes | 0.457486 |
| noninstitutionalized U.S. population | 0.608819 |
| United States | 0.77525 |
|
| U.S. Government Printing | 0.586422 |
| original MMWR paper | 0.567047 |
| Overall category | 0.465025 |
| adults | 0.384812 |
| sugar diabetes | 0.59332 |
| unknown diabetes status | 0.733612 |
| MMWR readers | 0.455011 |
| character translation | 0.44778 |
| borderline diabetes | 0.597864 |
| format errors | 0.445297 |
| Asians | 0.370872 |
| multiple races | 0.468086 |
| subject line | 0.484383 |
| typeset documents | 0.45181 |
| health | 0.46692 |
| trade names | 0.453921 |
| official text | 0.444177 |
| doctor | 0.410322 |
| non-CDC sites | 0.450314 |
| American Indian/Alaska Native | 0.67969 |
| confidence interval | 0.468082 |
| pregnancy-related diabetes | 0.609811 |
| electronic conversions | 0.442773 |
| printable versions | 0.439635 |
|
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| 11033 |
Centers for Disease Control and Prevention |
Html |
en |
HHS grants bolster health care and public health disaster preparedness | Press Release | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| information sharing | 0.472762 |
| All-Hazards Preparedness Reauthorization | 0.642694 |
| Human Services | 0.487354 |
| natural disasters | 0.478816 |
| assistant secretary | 0.476964 |
| Healthcare Preparedness Capabilities | 0.646611 |
| radiological nuclear events | 0.540695 |
| U.S. Department | 0.487444 |
| public health departments | 0.56468 |
| local communities | 0.483601 |
| public health systems | 0.674799 |
| national preparedness efforts | 0.623589 |
| infectious disease outbreaks | 0.540465 |
| critical sources | 0.478644 |
| emergency management | 0.472394 |
| Preparednessand CDC | 0.474828 |
| funding awards | 0.48659 |
| Health Preparedness Capabilities | 0.678363 |
| Nicole Lurie | 0.482538 |
| Health Emergency Preparedness | 0.699127 |
| state preparedness | 0.604903 |
| federal preparedness programs | 0.669404 |
| medical surge | 0.472409 |
| effective joint planning | 0.531031 |
| emergency operations | 0.475627 |
|
| HPP funding | 0.604885 |
| HPP | 0.643968 |
| PHEP funding | 0.532826 |
| core capabilities | 0.476684 |
| PHEP cooperative agreement | 0.539612 |
| homeland security programs | 0.532577 |
| PHEP funds | 0.482755 |
| health security | 0.51512 |
| Hospital Preparedness Program | 0.660634 |
| National Standards | 0.47371 |
| medical needs | 0.474547 |
| response capabilities | 0.478775 |
| public health | 0.907474 |
| health care | 0.780059 |
| health care systems | 0.60823 |
| Local Planning | 0.479137 |
| health care preparedness | 0.681665 |
| PHEP cooperative agreements | 0.536167 |
| saving lives | 0.483214 |
| grant funds | 0.474741 |
| local public health | 0.68643 |
| health care coalitions | 0.580407 |
| federal health | 0.49799 |
| local level | 0.478457 |
|
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| 11201 |
Centers for Disease Control and Prevention |
Html |
en |
Laboratory Safety Workgroup |
Laboratory Safety Workgroup members |
| National Biosafety | 0.682224 |
| infectious diseases | 0.699804 |
| H5N1 influenza-containing laboratory | 0.552242 |
| environmental health | 0.595227 |
| †Certified Biological Safety | 0.560457 |
| Biological Safety Association | 0.926729 |
| Health Inspection Services | 0.575092 |
| Duke University | 0.597024 |
| American Biological Safety | 0.926768 |
| CDC BSL-2 facilities | 0.553478 |
| UTMB Institutional Biosafety | 0.604468 |
| Defense Science Board | 0.536249 |
| biological laboratory safety | 0.59621 |
| Scientific Counselors | 0.55982 |
| University Safety Committee | 0.613048 |
| National Science Advisory | 0.623638 |
| Scientific Advisory Board | 0.711788 |
| Chemical Safety Program | 0.547604 |
| Livermore National Laboratory | 0.546351 |
| European Biosafety Association | 0.612853 |
| division safety liaison | 0.539563 |
| Biosafety programs | 0.568636 |
| University Institutional Biosafety | 0.660384 |
| NIH’s National | 0.571208 |
| public health laboratories | 0.64619 |
|
| past president | 0.550114 |
| Public Health England | 0.564284 |
| Alto Health Care | 0.540773 |
| health reference laboratory | 0.571264 |
| University Biosafety Officer | 0.651562 |
| external BSL-3 laboratory | 0.548412 |
| Infectious Diseases Laboratory | 0.5531 |
| Science Advisory Board | 0.625969 |
| Biosafety Regulations | 0.560243 |
| CDC BSL-3 facility | 0.556788 |
| Animal Biosafety Level | 0.610858 |
| National Health Security | 0.580156 |
| Regional Biocontainment Laboratory | 0.56067 |
| Institutional Biosafety Committee | 0.703253 |
| public health | 0.863881 |
| Certified Biological Safety | 0.580407 |
| State Laboratory Institute | 0.536279 |
| Biological Safety Professional | 0.647969 |
| Biosafety Professional | 0.566175 |
| Corporate BioSafety Programme | 0.600184 |
| Biocontainment Training Program | 0.717293 |
| Environmental Safety Office | 0.573514 |
| public health preparedness | 0.711429 |
| public health laboratory | 0.60295 |
|
CLICK HERE |
| 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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| 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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| 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 |