| 1181 |
Centers for Disease Control and Prevention |
Html |
en |
Notes from the Field: Chikungunya Virus Spreads in theAmericas — Caribbean and South America, 2013–2014 |
Marc Fischer, MD1, J. Erin Staples, MD1 (Author affiliations at end of text). |
| South America | 0.267076 |
| common clinical findings | 0.308538 |
| national passive surveillance | 0.301171 |
| virus transmission | 0.306091 |
| J. Erin Staples | 0.322793 |
| Marc Fischer | 0.318756 |
| autochthonous cases | 0.295484 |
| mosquito-borne alphavirus | 0.267229 |
| suspected chikungunya cases | 0.501269 |
| state health departments | 0.368695 |
| Zoonotic Infectious Diseases | 0.298334 |
| Saint Kitts | 0.280512 |
| recent chikungunya virus | 0.536672 |
| laboratory-confirmed chikungunya cases | 0.55902 |
| locally transmitted case | 0.301524 |
| World Health Organization | 0.328443 |
| diagnostic testing | 0.29681 |
| recent outbreaks | 0.263487 |
| dengue virus | 0.308404 |
| travelers | 0.309447 |
| wear long sleeves | 0.296548 |
| Saint Barthelemy | 0.338495 |
| Aedes aegypti | 0.27555 |
| chikungunya virus infections | 0.515861 |
| Puerto Rico | 0.31834 |
|
| nationally notifiable disease | 0.305291 |
| French Guiana | 0.268239 |
| United States | 0.483166 |
| Aedes species mosquitoes | 0.313209 |
| chikungunya virus | 0.953062 |
| Saint Vincent | 0.27723 |
| Puerto Rico Department | 0.29774 |
| local health department | 0.311427 |
| local transmission | 0.542461 |
| Saint Martin | 0.544811 |
| Sint Maarten | 0.331254 |
| acute onset | 0.315396 |
| U.S. cases | 0.278336 |
| Author affiliations | 0.265035 |
| chikungunya virus infection | 0.734567 |
| 1Arboviral Diseases Branch | 0.299742 |
| Western Hemisphere | 0.26636 |
| primary amplifying host | 0.313529 |
| Aedes albopictus mosquitoes | 0.329737 |
| U.S. states | 0.296498 |
| Saint Lucia | 0.279106 |
| chikungunya cases | 0.828652 |
| Dominican Republic | 0.388407 |
| British Virgin Islands | 0.319511 |
|
CLICK HERE |
| 6574 |
Centers for Disease Control and Prevention |
Html |
null |
CERCLA Priority List of Hazardous Substances |
ATSDR's Substance-Specific Priority Data Needs (PDNs) |
|
|
CLICK HERE |
| 9565 |
Centers for Disease Control and Prevention |
Html |
en |
CDC Accomplishments |
Centers for Disease Control and Prevention Accomplishments, 2009-2012 |
| Field Epidemiology Training | 0.342317 |
| meaningful successes | 0.249331 |
| CDC | 0.833919 |
| proven steps | 0.232239 |
| real-time emergency response | 0.37235 |
| non-communicable diseases | 0.258014 |
| New CDC research | 0.583128 |
| H1N1 virus | 0.228958 |
| Disease Control | 0.274538 |
| premature deaths | 0.269282 |
| health systems | 0.281781 |
| Hepatitis C. Implementation | 0.349841 |
| Americans | 0.278541 |
| seat belt laws | 0.359513 |
| Thirty-nine states | 0.248459 |
| America’s health | 0.423547 |
| CDC’s laboratories | 0.457356 |
| lowers health care | 0.438927 |
| leadership role | 0.231309 |
| public health laboratories | 0.383099 |
| health protection agency | 0.456727 |
| rapid detection | 0.25397 |
| protected people | 0.250218 |
| CDC-supported FETPs | 0.231199 |
|
| disease tracking | 0.259307 |
| ignition interlock systems | 0.365491 |
| health threats | 0.976144 |
| unique public health | 0.432547 |
| U.S. borders | 0.231996 |
| CDC data | 0.487033 |
| health security | 0.301128 |
| surveillance systems | 0.227114 |
| key health threats | 0.523956 |
| fewer schools | 0.238427 |
| child safety seat | 0.36221 |
| sugar-sweetened beverages | 0.232742 |
| school grounds | 0.230616 |
| public health | 0.644369 |
| Key campaign | 0.242083 |
| healthy school environments | 0.343381 |
| local public health | 0.410193 |
| young drivers | 0.243709 |
| low-nutrition food | 0.235391 |
| teen driving injuries | 0.344401 |
| antiviral treatment | 0.238048 |
| key role | 0.241646 |
| highly trained disease | 0.342399 |
| motor vehicle crashes | 0.627201 |
|
CLICK HERE |
| 11408 |
Centers for Disease Control and Prevention |
Html |
null |
Get Involved | Campaign Partners | We Can Stop HIV One Conversation | Campaigns | Act Against AIDS |
List of partner organizations of One Conversation at a Time, CDC’s first national effort to encourage Hispanic/Latino families, friends, and communities to talk openly about HIV |
|
|
CLICK HERE |
| 13319 |
Centers for Disease Control and Prevention |
Html |
en |
Viral Hepatitis Resource Center |
null |
| MPEG | 0.741242 |
| site | 0.541063 |
| PDF | 0.544429 |
|
|
CLICK HERE |
| 14198 |
Centers for Disease Control and Prevention |
Html |
en |
Using Electronic Health Records to Examine Disease Risk in Small Populations: Obesity Among American Indian Children, Wisconsin, 2007-2012 |
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. |
| American Indian population | 0.582802 |
| PHINEX database | 0.634048 |
| geographic designation | 0.571821 |
| high obesity rates | 0.565094 |
| Health Data Exchange | 0.550853 |
| American Indian patients | 0.603266 |
| AMA PRA | 0.549703 |
| census block group | 0.640894 |
| Census American Community | 0.55042 |
| high school education | 0.563025 |
| non-Hispanic white populations | 0.55507 |
| Health Information Exchange | 0.556909 |
| logistic regression | 0.548318 |
| obesity prevalence | 0.562807 |
| obesity | 0.594187 |
| block group level | 0.58629 |
| body mass index | 0.568918 |
| health care quality | 0.548188 |
| insurance status | 0.547306 |
| American Indian families | 0.560116 |
| American Indians | 0.551758 |
| electronic health | 0.594404 |
| non-Hispanic white children | 0.846466 |
| Public Health Information | 0.557198 |
|
| electronic health record | 0.582933 |
| disproportionately high obesity | 0.547806 |
| health record data | 0.555632 |
| federal poverty level | 0.562026 |
| non-Hispanic white patients | 0.57879 |
| EHR data | 0.56239 |
| Health primary care | 0.547822 |
| American Indian children | 0.97036 |
| data sets | 0.557621 |
| American Indian teenagers | 0.566644 |
| American Indian data | 0.579114 |
| health care | 0.616829 |
| public health | 0.582407 |
| American Indian records | 0.576015 |
| economic hardship index | 0.595055 |
| health | 0.63727 |
| electronic health records | 0.575763 |
| Indian Health Service | 0.56184 |
| American Indian race | 0.58923 |
| American Indian populations | 0.563872 |
| American Indian members | 0.568052 |
| childhood obesity | 0.570778 |
| American Indian/Alaska Native | 0.564678 |
| economic hardship | 0.647988 |
|
CLICK HERE |
| 15387 |
Centers for Disease Control and Prevention |
Html |
en |
Colonoscopy Screening Among US Adults Aged 40 or Older Witha Family History of Colorectal Cancer |
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. |
| Screening promotion | 0.485753 |
| colonoscopy screening | 0.687712 |
| health insurance | 0.538098 |
| CRC syndromes | 0.483088 |
| National Health Interview | 0.50876 |
| odds ratio | 0.45831 |
| first-degree relatives | 0.977294 |
| American Cancer Society | 0.462789 |
| conventional screening age | 0.549749 |
| recent screening test | 0.480853 |
| colorectal cancer screening | 0.482611 |
| CRC family history | 0.689288 |
| nonfirst-degree relatives | 0.604929 |
| colorectal cancer | 0.546846 |
| CRC screening | 0.610455 |
| colonoscopy rate | 0.570307 |
| non-first-degree relatives | 0.47733 |
| Health Interview Survey | 0.508675 |
| CRC incidence | 0.570359 |
| older age groups | 0.48251 |
| CRC screening–eligible respondents | 0.514521 |
| colonoscopy completion | 0.483184 |
| low colonoscopy rate | 0.497205 |
| colonoscopy coverage | 0.478307 |
|
| Timely screening | 0.462574 |
| sporadic CRC patients | 0.536148 |
| study | 0.461988 |
| colonoscopy screening rates | 0.622158 |
| family history question | 0.474441 |
| younger age group | 0.467579 |
| older CRC patients | 0.520389 |
| younger first-degree relatives | 0.618404 |
| CRC mortality | 0.503458 |
| CRC screening test | 0.537655 |
| Introduction
Colonoscopy | 0.495089 |
| screening age group | 0.483901 |
| CRC patients | 0.71136 |
| cancer family history | 0.4851 |
| colonoscopy rates | 0.506779 |
| early screening | 0.457396 |
| CRC prevention | 0.479914 |
| CRC increases | 0.489255 |
| total CRC deaths | 0.50633 |
| effective screening tool | 0.477479 |
| reduces colorectal cancer | 0.457911 |
| potential CRC family | 0.502227 |
| family history | 0.856993 |
| Younger CRC patients | 0.533507 |
|
CLICK HERE |
| 15789 |
Centers for Disease Control and Prevention |
Html |
en |
Carbapenem-Resistant Enterobacteriaceae Transmission inHealth Care Facilities - Wisconsin, February-May 2015 |MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| infection prevention staff | 0.582057 |
| respiratory intensive care | 0.553554 |
| clinical microbiology laboratories | 0.497516 |
| laboratory-identified CRE events | 0.65778 |
| WDPH personnel | 0.510043 |
| certain CRE | 0.56595 |
| particular CRE | 0.567383 |
| interfacility transmission events | 0.487911 |
| transmission events | 0.750014 |
| carbapenemase-producing CRE | 0.73715 |
| laboratory-based CRE surveillance | 0.7982 |
| bacterial isolates | 0.541945 |
| CRE culture | 0.594059 |
| PCR testing | 0.514892 |
| Hygiene laboratory-based CRE | 0.699709 |
| related PFGE patterns | 0.613575 |
| case fatality rates | 0.515855 |
| intensive care unit | 0.53669 |
| National Healthcare Safety | 0.481047 |
| CRE transmission | 0.911329 |
| infection prevention personnel | 0.503001 |
| public health | 0.577223 |
| polymerase chain reaction | 0.510878 |
| closely related PFGE | 0.611563 |
|
| critical access hospitals | 0.513003 |
| WSLH laboratory-based CRE | 0.685761 |
| patients | 0.563743 |
| laboratory-identified CRE | 0.700774 |
| Wisconsin State Laboratory | 0.521417 |
| infection prevention | 0.750871 |
| infection control measures | 0.532761 |
| CRE transmission events | 0.682932 |
| prevention staff members | 0.565217 |
| statewide CRE surveillance | 0.617166 |
| CRE | 0.91228 |
| health care settings | 0.62585 |
| high case fatality | 0.517504 |
| CRE infections | 0.631332 |
| southeastern Wisconsin | 0.588153 |
| isolates | 0.557668 |
| CRE surveillance program | 0.782577 |
| report laboratory-identified CRE | 0.660055 |
| pulsed-field gel electrophoresis | 0.609002 |
| health care transmission | 0.520004 |
| Healthcare Safety Network | 0.481039 |
| low CRE prevalence | 0.610314 |
| respiratory care | 0.492799 |
|
CLICK HERE |
| 16124 |
Centers for Disease Control and Prevention |
Html |
en |
Billing Codes | Diabetes |
National Diabetes Prevention Program |
| Ronald T. Ackermann | 0.663304 |
| screening | 0.420323 |
| S11-66. doi | 0.537458 |
| Guide | 0.418501 |
| official recognition | 0.533646 |
| standardized diabetes prevention | 0.747987 |
| York State Department | 0.632734 |
| group setting—such | 0.51292 |
| navigation Skip | 0.666505 |
| identification | 0.419259 |
| CDC-recognized lifestyle change | 0.606782 |
| medical billing | 0.53255 |
| intensive programs | 0.515946 |
| York State Diabetes | 0.767957 |
| Prediabetes Testing. | 0.519805 |
| diabetes—2013 | 0.418658 |
|
| list Skip | 0.667649 |
| program curriculum | 0.513191 |
| Health | 0.436193 |
| New York State | 0.822162 |
| page options Skip | 0.781543 |
| CPT code 0403T | 0.624704 |
| Ackermann RT | 0.573601 |
| NYS DPP | 0.56714 |
| permission | 0.426303 |
| medical care | 0.518483 |
| Standards | 0.418719 |
| billing codes | 0.534336 |
| NY Dept | 0.526476 |
| preventive behavior change | 0.616459 |
| intervention algorithm | 0.528869 |
| diabetes prevention program | 0.930426 |
|
CLICK HERE |
| 16165 |
Centers for Disease Control and Prevention |
Html |
en |
Well-Being Concepts | HRQOL |
null |
| mental well-being | 0.583439 |
| positive affect | 0.497969 |
| mental health | 0.546297 |
| health surveillance well-being | 0.592127 |
| Diener E. Subjective | 0.503384 |
| individual well-being | 0.59435 |
| health promotion | 0.492926 |
| General Well-Being Schedule | 0.577302 |
| higher well-being | 0.576661 |
| Diener E. Reexamining | 0.469434 |
| Warr P. Well-being | 0.565177 |
| Diener E. Unemployment | 0.470174 |
| Ed Diener | 0.483103 |
| well-being instruments | 0.595101 |
| T. Subjective well-being | 0.596548 |
| well-being measures | 0.598977 |
| psychologal well-being | 0.575147 |
| Diener E. | 0.533007 |
| public health surveillance | 0.485069 |
| life satisfaction | 0.545682 |
| A. Well-being assessment | 0.572102 |
| Social Psychology | 0.479779 |
| E. The well-being | 0.573956 |
| positive emotions | 0.515704 |
|
| public health | 0.560836 |
| measure self-reported well-being | 0.611406 |
| H. Subjective well-being | 0.605635 |
| New York | 0.686613 |
| RJ Larsen | 0.47639 |
| well-being scale | 0.584754 |
| Russell Sage Foundation | 0.561204 |
| subjective well-being | 0.973683 |
| general psychological well-being | 0.582575 |
| well-being scales | 0.556113 |
| positive mental health | 0.510242 |
| emotional well-being | 0.59634 |
| psychological well-being | 0.625821 |
| subjective well-being data | 0.604281 |
| public policy | 0.48191 |
| mental health domain | 0.484704 |
| Helliwell J. Well-Being | 0.588473 |
| Guilford Press | 0.481606 |
| well-being encompasses | 0.575062 |
| E. Assessing well-being | 0.590426 |
| M. Ed Diener | 0.470226 |
| overall well-being | 0.59294 |
| Diener | 0.538687 |
|
CLICK HERE |