| 762 |
Centers for Disease Control and Prevention |
Html |
en |
The Surprising Truth About Prediabetes | CDC Features |
Prevent or delay type 2 diabetes by learning your risk factors, eating right, becoming more physically active, losing a modest amount of weight, and managing stress. You can make a healthy change today.
|
| CDC-led National Diabetes | 0.568537 |
| Hispanic/Latino Americans | 0.233017 |
| African Americans | 0.221213 |
| kidney failure | 0.211657 |
| type | 0.827707 |
| American adults—more | 0.241254 |
| National Diabetes Prevention | 0.825998 |
| lifestyle changes | 0.724528 |
| severe symptoms | 0.224464 |
| risk increases | 0.221958 |
| heart disease | 0.432099 |
| immune reaction | 0.234177 |
| 200-pound person | 0.204599 |
| nerve damage | 0.384603 |
| higher risk | 0.396506 |
| risk factors | 0.225399 |
| Modest weight loss | 0.377396 |
| prediabetes | 0.356605 |
| best time | 0.21676 |
| major complications | 0.207915 |
|
| blood sugar levels | 0.420179 |
| people | 0.367319 |
| diabetes-related health problems | 0.386985 |
| increasingly children | 0.227357 |
| American Indians | 0.212081 |
| Pacific Islanders | 0.228209 |
| health problems | 0.651373 |
| Diabetes Prevention Program | 0.812773 |
| regular physical activity | 0.665733 |
| health condition | 0.232999 |
| brisk walking | 0.213731 |
| major organ | 0.209004 |
| young adults | 0.404959 |
| risk | 0.474062 |
| older people | 0.22625 |
| Asian Americans | 0.220667 |
| clear symptoms | 0.215388 |
| blood sugar | 0.461682 |
| diabetes | 0.960765 |
| gradual disease | 0.229932 |
|
CLICK HERE |
| 7245 |
Centers for Disease Control and Prevention |
Html |
en |
Notifiable Diseases and Mortality Tables - July 13, 2012 |
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. |
| H. influenzae | 0.38519 |
| National Center | 0.301158 |
| cases | 0.344742 |
| CDC | 0.294632 |
| novel influenza | 0.645301 |
| Total case counts | 0.453652 |
| pandemic influenza | 0.953911 |
| ** Data | 0.347083 |
| Cumulative total E. | 0.474895 |
|
| measles case | 0.340533 |
| Influenza Division | 0.44437 |
| 2009 pandemic | 0.764548 |
| probable cases | 0.326695 |
| Respiratory Diseases | 0.307833 |
| rubella cases | 0.309158 |
| human infection | 0.329946 |
| influenza A virus | 0.480607 |
|
CLICK HERE |
| 7952 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Provider Compliance WithGuidelines for Management of Cardiovascular Risk in HIV-InfectedPatients - CDC |
Compliance with National Cholesterol Education Program Adult Treatment Panel III (NCEP) guidelines has been shown to significantly reduce incident cardiovascular events. We investigated physicians’ compliance with NCEP guidelines to reduce cardiovascular disease (CVD) risk in a population infected with HIV. |
| low HDL-C | 0.689856 |
| major risk factors | 0.60647 |
| Infectious Disease Society | 0.64288 |
| cholesterol education program | 0.716745 |
| relevant financial relationships | 0.649817 |
| myocardial infarction | 0.612048 |
| cardiovascular risk factors | 0.611012 |
| national cholesterol education | 0.715385 |
| Adult Treatment Panel | 0.680833 |
| Interagency HIV Study | 0.609839 |
| HOPS patients | 0.626404 |
| Disease Control | 0.627195 |
| pharmacologic treatment | 0.608961 |
| CVD risk | 0.69913 |
| Clin Infect Dis | 0.731603 |
| cardiovascular events | 0.690715 |
| blood pressure | 0.678854 |
| risk factors | 0.785708 |
| Joan S. Chmiel | 0.651482 |
| patients | 0.843763 |
| Kenneth A. Lichtenstein | 0.648344 |
| mm Hg | 0.657426 |
| metabolic syndrome | 0.671447 |
| NCEP treatment goals | 0.604873 |
| moderately high risk | 0.666221 |
|
| CrossRef | 0.607644 |
| treatment goals | 0.62086 |
| study | 0.626288 |
| antiretroviral therapy | 0.612651 |
| contemporary HOPS patients | 0.622576 |
| Program Adult Treatment | 0.644943 |
| Immune Defic Syndr | 0.679354 |
| Clinical Trials Group | 0.63866 |
| HIV Outpatient Study | 0.62384 |
| incident cardiovascular events | 0.661301 |
| Acquir Immune Defic | 0.679357 |
| cardiovascular risk | 0.62722 |
| high CVD risk | 0.603304 |
| Adult AIDS Clinical | 0.63684 |
| AIDS Clinical Trials | 0.636426 |
| Education Program Adult | 0.631608 |
| Scott D. Holmberg | 0.623916 |
| NCEP guidelines | 0.697747 |
| low HDL-C levels | 0.619101 |
| Framingham risk calculation | 0.603455 |
| et al | 0.94617 |
| coronary heart disease | 0.784288 |
| HIV-infected patients | 0.738976 |
| HIV infection | 0.70484 |
|
CLICK HERE |
| 9829 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Views of City, County, and State Policy Makers About Childhood Obesity in New York State, 2010"2011 - CDC |
No single solution exists to reduce rates of childhood obesity in the United States, but public policy action is essential. A greater understanding of policy maker views on childhood obesity would provide insight into ways that public health advocates can overcome barriers to propose, enact, and implement obesity prevention policies. |
| state policy makers | 0.591656 |
| semistructured interview protocol | 0.543988 |
| implement obesity prevention | 0.597145 |
| Meyerson J. Views | 0.525223 |
| public policy action | 0.559503 |
| hypothetical solutions | 0.534218 |
| research | 0.525481 |
| public health advocates | 0.564762 |
| county health officials | 0.52739 |
| policy attention | 0.537993 |
| state legislators | 0.531912 |
| broader public official | 0.52533 |
| policy maker priorities | 0.537223 |
| childhood obesity prevention | 0.625379 |
| communication strategies | 0.532913 |
| obesity prevention policies | 0.598899 |
| solutions | 0.53996 |
| body mass index | 0.536917 |
| New York State | 0.563962 |
| childhood obesity rates | 0.640617 |
| Cornell University | 0.536622 |
| childhood obesity fall | 0.610092 |
| respondents | 0.584416 |
| policy influence | 0.526202 |
| childhood obesity initiatives | 0.597143 |
|
| frequently cited cause | 0.527383 |
| least-often cited causes | 0.530261 |
| commonly cited source | 0.540127 |
| commonly cited causes | 0.529443 |
| county health | 0.534732 |
| policy maker views | 0.538939 |
| United States | 0.573829 |
| policy maker | 0.610341 |
| specific hypothetical solutions | 0.527286 |
| food industry | 0.530918 |
| Fewer respondents | 0.531799 |
| county health directors | 0.52721 |
| New York | 0.602092 |
| Recent policy attention | 0.535163 |
| political party | 0.530973 |
| government-funded obesity education | 0.566836 |
| broader policy making | 0.531458 |
| physical activity | 0.550415 |
| obesity-related policy enactment | 0.535339 |
| policy environments | 0.5261 |
| Public Health Service | 0.525913 |
| childhood obesity | 0.987991 |
| policy makers | 0.729271 |
| appropriate policy solutions | 0.539612 |
|
CLICK HERE |
| 11753 |
Centers for Disease Control and Prevention |
Html |
en |
MMWR News Synopsis: October 9, 2014 | CDC Media Relations | CDC |
MMWR – Morbidity and Mortality Weekly Report CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| half | 0.458641 |
| data | 0.500185 |
| emergency department visits | 0.750959 |
| screen patients | 0.594555 |
| significant role | 0.582049 |
| migration patterns | 0.570657 |
| across-the-board gaps | 0.577041 |
| OPR | 0.726884 |
| alcohol involvement | 0.635421 |
| prescription drugs | 0.588326 |
| new CDC analysis | 0.746844 |
| fda.hhs.gov | 0.437258 |
| viral suppression | 0.912732 |
| drug abuse-related ED | 0.741693 |
| overdose deaths | 0.62192 |
| overdose increases | 0.61498 |
| Jeff Ventura | 0.615098 |
| Drug Abuse Warning | 0.744466 |
| opioid pain relievers | 0.82994 |
| alcohol | 0.65422 |
| benzodiazepines | 0.505083 |
| problematic substance | 0.613418 |
| diagnosis | 0.460356 |
| problematic alcohol | 0.651651 |
| age groups | 0.691765 |
|
| HIV treatment | 0.681359 |
| Media Team | 0.588829 |
| Jeff.ventura | 0.437274 |
| HUMAN SERVICES | 0.571791 |
| Latinos | 0.649721 |
| geographic differences | 0.567985 |
| Medical Monitoring Project | 0.722735 |
| new infections | 0.567573 |
| proportion | 0.483745 |
| Drug Administration | 0.614831 |
| linkage | 0.47047 |
| National HIV Surveillance | 0.816492 |
| U.S. clinical guidelines | 0.707291 |
| benzodiazepine abuse | 0.840494 |
| public health burden | 0.748554 |
| important markers | 0.572872 |
| U.S. DEPARTMENT | 0.567033 |
| benzodiazepine drug-related deaths | 0.851349 |
| retention | 0.460107 |
| Food | 0.435934 |
| primary health care | 0.764469 |
| Interventions | 0.469408 |
| risk | 0.501795 |
| language barriers | 0.574339 |
|
CLICK HERE |
| 12215 |
Centers for Disease Control and Prevention |
Html |
en |
Notes from the Field: Fatal Rat-Bite Fever in a Child - SanDiego County, California, 2013 |
Jessica K. Adam, MD1,2,3, Aiden K. Varan, MPH2,3,4, Alice L. |
| California San Diego | 0.42206 |
| additional RBF case | 0.514199 |
| Alice L. Pong | 0.383917 |
| pet rats | 0.514462 |
| San Diego County | 0.658487 |
| Pet rat owners | 0.411002 |
| RBF incidence | 0.441759 |
| California Office | 0.303012 |
| San Diego | 0.902296 |
| white blood cells | 0.371047 |
| rat-bite fever | 0.368769 |
| RBF | 0.573549 |
| untreated RBF illnesses | 0.520694 |
| Zoonotic Infectious Diseases | 0.482778 |
| oropharyngeal tissue | 0.302487 |
| rat breeder | 0.326529 |
| Eric C. McDonald | 0.386122 |
| spirillary fever | 0.330024 |
| National Center | 0.351185 |
| pet rat | 0.494469 |
| Territorial Epidemiologists Applied | 0.356112 |
| rat cages | 0.324227 |
| San Diego Health | 0.702239 |
| median patient age | 0.381666 |
| state public health | 0.359977 |
|
| Human Services Agency | 0.709931 |
| 1Epidemic Intelligence Service | 0.355291 |
| Child — San | 0.337571 |
| American Veterinary Medical | 0.368833 |
| Infectious Diseases Pathology | 0.368451 |
| Statewide Health Planning | 0.3652 |
| Jessica K. Adam | 0.527993 |
| previously healthy male | 0.377847 |
| S. moniliformis | 0.698285 |
| polymerase chain reaction | 0.688262 |
| San Diego Medical | 0.41542 |
| Pediatric Infectious Diseases | 0.364197 |
| persistent fever | 0.345488 |
| Oropharyngeal swabs | 0.310024 |
| joint pain | 0.364623 |
| wild rats | 0.341802 |
| RBF symptoms | 0.43789 |
| complete blood count | 0.373023 |
| potentially fatal illness | 0.361533 |
| rat secretions | 0.329965 |
| appropriate exposure history | 0.359655 |
| rapid laboratory confirmation | 0.343946 |
| Aiden K. Varan | 0.396444 |
| streptobacillary fever | 0.330087 |
|
CLICK HERE |
| 12306 |
Centers for Disease Control and Prevention |
Html |
en |
Interim Recommendations for Ambulance Service Providers inWest African Ebola-Affected Areas | Ebola Hemorrhagic Fever |CDC |
null |
| ambulance team | 0.705099 |
| decontamination | 0.395084 |
| biohazard bags | 0.385358 |
| PPE | 0.707054 |
| cab | 0.49164 |
| alcohol-based hand rub | 0.362025 |
| infection control | 0.398637 |
| ambulance team members | 0.551178 |
| Ebola care facilities | 0.493482 |
| example | 0.361488 |
| Ambulance personnel | 0.398929 |
| personal belongings | 0.423865 |
| rubber boots | 0.365744 |
| disposable ppe | 0.50923 |
| biohazard waste bags | 0.421653 |
| Ebola outbreak. Teams | 0.405397 |
| direct contact | 0.367426 |
| tight fitting lids | 0.361771 |
| tight-fitting lid | 0.397816 |
| central ambulance maintenance | 0.48122 |
| Ambulance teams | 0.410008 |
| chlorine solution | 0.498067 |
| vehicle maintenance depot | 0.39722 |
| personal protective equipment | 0.373099 |
|
| easily cleanable materials | 0.362294 |
| World Health Organization | 0.36228 |
| basic infection control | 0.36562 |
| patients | 0.4162 |
| liquid waste | 0.362665 |
| appropriate ppe | 0.524088 |
| ambulance | 0.745712 |
| body fluids | 0.49874 |
| facility protocol | 0.404279 |
| ambulance team member | 0.433862 |
| patient care equipment | 0.366845 |
| centralized vehicle maintenance | 0.395805 |
| decontamination teams | 0.374003 |
| medical waste container | 0.360812 |
| Ebola care facility | 0.995924 |
| reusable equipment | 0.393426 |
| reusable ppe | 0.447185 |
| injuries. Ebola | 0.37502 |
| Vehicle cleaning | 0.363894 |
| disposable waste | 0.36824 |
| ambulance maintenance depot | 0.529978 |
| Ambulance service providers | 0.440652 |
| face shield | 0.360444 |
|
CLICK HERE |
| 12750 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Patient Perspectives on TobaccoUse Treatment in Primary Care - CDC |
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 on the very latest in chronic disease prevention, research findings, public health interventions, and the exploration of new theories and concepts.
|
| North Carolina | 0.883483 |
| smoking cessation interventions | 0.79884 |
| outcome measures | 0.772176 |
| health care provider | 0.707213 |
| Cancer Research Fund | 0.715588 |
| smoking cessation program | 0.7451 |
| tobacco cessation counselor | 0.711471 |
| National Health Interview | 0.710605 |
| quit attempt | 0.693786 |
| carbon monoxide monitoring | 0.802865 |
| regional smoking rate | 0.703723 |
| Disease Control | 0.722613 |
| tobacco users | 0.805354 |
| health care providers | 0.813866 |
| inductive coding techniques | 0.734513 |
| primary care practices | 0.710921 |
| primary care practice | 0.710621 |
| current smoking | 0.693657 |
| current cigarette smoking | 0.711074 |
| Morb Mortal Wkly | 0.748942 |
| important patient-centered outcomes | 0.765997 |
| patients | 0.73717 |
| carbon monoxide | 0.81164 |
| patient-centered smoking cessation | 0.801392 |
| office-based smoking cessation | 0.744948 |
|
| Health Interview Survey | 0.709972 |
| University Cancer Research | 0.717215 |
| smoking cessation | 0.944082 |
| patient-centered outcome measures | 0.755766 |
| primary care visit | 0.751027 |
| smoking cessation services | 0.748844 |
| United States | 0.713926 |
| health care insurance | 0.708307 |
| smokers | 0.73256 |
| relevant patient-centered outcome | 0.693528 |
| MMWR Morb Mortal | 0.748946 |
| primary care clinics | 0.817588 |
| future cessation research | 0.726394 |
| focus groups | 0.790205 |
| Mortal Wkly Rep | 0.743823 |
| health care | 0.853121 |
| participants | 0.806586 |
| primary care patients | 0.719974 |
| health care systems | 0.695401 |
| tobacco cessation interventions | 0.74633 |
| Chapel Hill | 0.745164 |
| creative patient-centered outcome | 0.70094 |
| various quit options | 0.715122 |
| primary care | 0.897588 |
|
CLICK HERE |
| 14229 |
Centers for Disease Control and Prevention |
Html |
en |
About Zika Virus Disease |
Information on Zika virus. Provided by the U.S. Centers for Disease Control and Prevention. |
| mosquitoes | 0.412794 |
| infected Aedes species | 0.987517 |
| mosquito-borne Zika virus | 0.829583 |
| Ae. albopictus | 0.69019 |
| night | 0.343119 |
| pregnancy | 0.338852 |
| continental United States | 0.763762 |
|
| Infection | 0.371784 |
| vaccine | 0.379364 |
| transmission | 0.357437 |
| bite | 0.474781 |
| pregnant woman | 0.606711 |
| certain birth defects | 0.833005 |
|
CLICK HERE |
| 15254 |
Centers for Disease Control and Prevention |
Html |
en |
Five Minute Weekly Tip Be Summer-Savvy - Family Health - CDC |
Family health information from the Centers for Disease Control and Prevention (CDC) |
| Summer | 0.622599 |
| health | 0.617695 |
|
| safety challenges | 0.980922 |
|
CLICK HERE |