| 722 |
Centers for Disease Control and Prevention |
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en |
Progress Toward Poliomyelitis Eradication - Pakistan,January 2012-September 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. |
| global polio eradication | 0.497909 |
| trivalent oral polio | 0.472304 |
| vaccine-derived poliovirus type | 0.755275 |
| routine vaccination coverage | 0.549104 |
| Islamabad Capitol Territory | 0.516878 |
| areas | 0.631207 |
| intense WPV type | 0.438257 |
| Polio Eradication Dept | 0.598692 |
| SIAs | 0.629805 |
| AFP cases | 0.542514 |
| monovalent OPV type | 0.44243 |
| OPV doses | 0.600492 |
| Administered Tribal Areas | 0.531899 |
| polio eradication activities | 0.543739 |
| transmission | 0.462491 |
| children | 0.609491 |
| vaccination teams | 0.505827 |
| WPV1 | 0.44202 |
| SIAD SIAs | 0.458405 |
| World Health Organization | 0.499544 |
| Quetta block | 0.445666 |
| VDPV-associated polio case | 0.497206 |
| polio cases | 0.511277 |
| bivalent OPV types | 0.511002 |
|
| indigenous wild poliovirus | 0.518203 |
| Federally Administered Tribal | 0.512051 |
| vaccination team performance | 0.445302 |
| WPV cases | 0.964009 |
| AFP surveillance | 0.463085 |
| national routine vaccination | 0.477422 |
| local authorities | 0.483217 |
| poor-quality SIAs | 0.445944 |
| polio eradication | 0.744193 |
| FATA | 0.879729 |
| polio vaccination | 0.725643 |
| Pakistan | 0.624511 |
| low routine vaccination | 0.448544 |
| Balochistan | 0.436096 |
| polio program performance | 0.575856 |
| KP | 0.474245 |
| polio workers | 0.675342 |
| subnational SIAs | 0.57817 |
| polio | 0.76956 |
| national SIAs | 0.504264 |
| security-compromised areas | 0.483596 |
| WPV type | 0.544962 |
| acute flaccid paralysis | 0.498902 |
| oral polio vaccine | 0.582351 |
|
CLICK HERE |
| 5200 |
Centers for Disease Control and Prevention |
Html |
en |
Older Adults Not Getting Recommended Preventive Services - Press Release #1: March 14, 2011 |
Older Adults Not Getting Recommended Preventive Services |
| health aging activities | 0.55859 |
| Clinical prevention services | 0.610909 |
| American Medical Association | 0.648318 |
| Critical gaps | 0.435842 |
| AARP board member | 0.50395 |
| Healthy Aging Program | 0.551246 |
| clinical strategies | 0.413632 |
| Disease Control | 0.435087 |
| preventive benefits | 0.517503 |
| national levels | 0.418396 |
| preventive screenings | 0.504432 |
| early detection | 0.429875 |
| Kathy Greenlee | 0.416708 |
| health systems | 0.432747 |
| colorectal cancer | 0.545215 |
| community level | 0.429441 |
| smoking cessation counseling | 0.529981 |
| Asian/Pacific Islanders | 0.550614 |
| current levels | 0.41854 |
| health care costs | 0.518278 |
| Affordable Care Act | 0.507762 |
| Chronic Disease Directors | 0.495081 |
| traditional health care | 0.538573 |
| bloodstream infections | 0.431888 |
|
| City Health Officials | 0.519456 |
| older Americans | 0.617876 |
| HUMAN SERVICES | 0.561973 |
| convenient community settings | 0.503196 |
| community access | 0.419839 |
| age group | 0.413031 |
| percent | 0.435015 |
| Medicaid Services | 0.487165 |
| features innovative strategies | 0.501784 |
| U.S. DEPARTMENT | 0.534034 |
| Medical Association board | 0.512264 |
| Community Health | 0.452326 |
| clinical preventive services | 0.854142 |
| Healthcare Research | 0.42851 |
| primary authors | 0.41951 |
| lipid disorders | 0.430644 |
| good health | 0.431512 |
| Lynda Anderson | 0.417466 |
| Territorial Health Officials | 0.519703 |
| breast cancer | 0.424928 |
| National Association | 0.602414 |
| older adults | 0.791117 |
| report | 0.563652 |
| new report | 0.475755 |
|
CLICK HERE |
| 6218 |
Centers for Disease Control and Prevention |
Html |
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Science Clips - Monday, August 22, 2011 |
null |
| impaired lung function | 0.538913 |
| current awareness | 0.413724 |
| food stamp program | 0.520146 |
| social determinants | 0.431585 |
| Disease Control | 0.419979 |
| CDC Science Clips | 0.908188 |
| restrictive lung pattern | 0.539152 |
| historical exposures | 0.421295 |
| occupational history | 0.413728 |
| Nutrition Examination Survey | 0.516646 |
| indirect costs | 0.423756 |
| Chief Science Officer | 0.551909 |
| historical exposure | 0.415467 |
| non-melanoma skin cancer | 0.550193 |
| DHHS | 0.452357 |
| National Health | 0.431814 |
| HPV vaccine impact | 0.53611 |
| body weight status | 0.524523 |
| public domain | 0.437375 |
| Public Health Rep. | 0.546339 |
| Student Research Contest | 0.532867 |
| competitive female cyclists | 0.511828 |
| Stephen B. Thacker | 0.76588 |
| primary manufacturing facility | 0.679618 |
| Pericardial fat | 0.434017 |
|
| at-risk populations | 0.424844 |
| potential life | 0.427515 |
| United States | 0.420771 |
| bike seats | 0.415641 |
| Immunization Practices | 0.417397 |
| Human papillomavirus | 0.432256 |
| Advisory Committee | 0.415445 |
| unhealthy foods | 0.431485 |
| weekly digest | 0.43543 |
| Jackson Heart Study | 0.537016 |
| chronic beryllium disease | 0.688733 |
| public health literature | 0.527068 |
| B. Thacker CDC | 0.93049 |
| systematic review | 0.542595 |
| U.S. low-income women | 0.525526 |
| Genet Med. | 0.435359 |
| human pregnancy | 0.420577 |
| original authors | 0.417224 |
| Prev Med. | 0.441954 |
| non-CDC Websites | 0.413969 |
| examine hospitalization rates | 0.535292 |
| original sources | 0.43835 |
| data systems | 0.424961 |
| news sources | 0.419818 |
|
CLICK HERE |
| 7648 |
Centers for Disease Control and Prevention |
Html |
en |
Comprehensive Smoke-Free Laws - 50 Largest U.S. Cities, 2000and 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. |
| state tobacco-related laws | 0.340859 |
| North Carolina | 0.299308 |
| Control Laws Database | 0.350513 |
| comprehensive state protections | 0.311978 |
| local SHS protections | 0.390555 |
| U.S. Tobacco Control | 0.325046 |
| local CSF law | 0.589787 |
| statewide CSF laws | 0.484044 |
| largest cities | 0.36295 |
| statewide smoking restrictions | 0.345341 |
| ineffective smoking restrictions | 0.339866 |
| completely eliminating smoking | 0.30051 |
| comprehensive local protections | 0.306029 |
| state smoke-free laws | 0.396873 |
| New local CSF | 0.41238 |
| CSF policy coverage | 0.394958 |
| large U.S. cities | 0.292241 |
| comprehensive state smoking | 0.342914 |
| comprehensive SHS protections | 0.31961 |
| state csf laws | 0.686153 |
| state administrative laws | 0.319627 |
| smoke-free policies | 0.29444 |
| southern United States | 0.394984 |
| state tobacco-related legislation | 0.303626 |
|
| smoking restrictions | 0.97362 |
| local laws | 0.34188 |
| smoke-free workplace policies | 0.28701 |
| local smoking restrictions | 0.761152 |
| CSF laws | 0.957711 |
| U.S. population | 0.306189 |
| local jurisdictions | 0.286701 |
| local action | 0.283813 |
| local CSF | 0.621009 |
| state smoking restrictions | 0.721165 |
| largest U.S. cities | 0.619217 |
| local CSF laws | 0.578059 |
| SHS exposure | 0.310025 |
| State Tobacco Activities | 0.301109 |
| smoke-free policy coverage | 0.292128 |
| state laws | 0.321055 |
| state CSF law | 0.590533 |
| state preemption laws | 0.323948 |
| local level | 0.291429 |
| public health protections | 0.285434 |
| strongest smoking restrictions | 0.359859 |
| state level | 0.369262 |
| SHS protections | 0.399284 |
|
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| 9796 |
Centers for Disease Control and Prevention |
Html |
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Chronic Fatigue Syndrome (CFS) - Monitoring the Use of All Medicines and Supplement |
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| bed | 0.237798 |
| severe fatigue | 0.476778 |
| thinking | 0.237693 |
| times | 0.237969 |
| Institute | 0.233133 |
| complex disease | 0.390667 |
| understanding | 0.233113 |
| health care providers | 0.539427 |
| ME/CFS | 0.833269 |
| dizziness | 0.257062 |
| pain | 0.235244 |
| timely diagnosis | 0.403076 |
| committee | 0.23346 |
| IOM | 0.260819 |
|
| Americans | 0.236337 |
| encephalomyelitis/chronic fatigue syndrome | 0.995804 |
| sleep problems | 0.402557 |
| usual activities | 0.430562 |
| body systems | 0.430988 |
| people | 0.311776 |
| symptoms | 0.233915 |
| symptom | 0.252966 |
| post-exertional malaise | 0.428804 |
| long-term illness | 0.481315 |
| new diagnostic criteria | 0.557353 |
| PEM | 0.255933 |
| MyalÂgic Encephalomyelitis/Chronic Fatigue | 0.602573 |
|
CLICK HERE |
| 10700 |
Centers for Disease Control and Prevention |
Html |
en |
Short and Extended Messages'Pneumonic Plague' Communicating in the First Hours |
The CERC training program educates people on the principles and application of crisis and emergency risk communication when responding to a public health emergency. |
| 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 |
| 10982 |
Centers for Disease Control and Prevention |
Html |
en |
EID News Synopsis: June 2014 | CDC Media Relations |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| well-separated continents | 0.44739 |
| Central America | 0.43802 |
| Health Science | 0.447809 |
| new technology | 0.445574 |
| multiple genotypes | 0.43569 |
| Zika virus | 0.695003 |
| Jaymin C. Patel | 0.554095 |
| CDC study | 0.50655 |
| Lin-Fa Wang | 0.449199 |
| North America | 0.444449 |
| North Pacific | 0.433853 |
| genetically related phleboviruses | 0.568154 |
| NC USA | 0.431013 |
| closely related viruses | 0.561044 |
| malaria treatment policies | 0.577799 |
| Democratic Republic | 0.437318 |
| South Pacific | 0.550186 |
| virus reemergence | 0.485689 |
| future epidemics | 0.436638 |
| respiratory infections | 0.458602 |
| public health risks | 0.561306 |
| drug-resistant malaria | 0.482344 |
| phlebovirus infection | 0.440772 |
| similar tick-borne viruses | 0.603444 |
| half century | 0.430546 |
|
| Disease journal page | 0.572675 |
| Infectious Diseases | 0.456406 |
| malaria parasites | 0.464572 |
| different genotypes | 0.436818 |
| United States | 0.447601 |
| CSIRO Animal | 0.440761 |
| similar viruses | 0.471679 |
| drug-resistant parasites | 0.460715 |
| disease outbreak | 0.462626 |
| public health journal | 0.59609 |
| North Carolina-Chapel Hill | 0.558681 |
| Genetic analysis | 0.680223 |
| Institut Louis Malardé | 0.782459 |
| tick-borne phlebovirus | 0.451952 |
| Australian Animal Health | 0.563989 |
| mosquito-borne virus | 0.499989 |
| Van-Mai Cao-Lormeau | 0.575136 |
| 18-year absence | 0.437424 |
| p.m. EDT | 0.473669 |
| French Polynesia | 0.960911 |
| malaria transmission | 0.458936 |
| dengue virus serotype | 0.860188 |
| linfa.wang@csiro.au | 0.446856 |
| dengue serotypes | 0.503611 |
|
CLICK HERE |
| 13720 |
Centers for Disease Control and Prevention |
Html |
en |
Cassie's Story |
The story of Cassie, a 42-year-old woman with a family history of breast cancer. |
| instructions | 0.330138 |
| BringYourBrave | 0.328656 |
| genetic testingTests | 0.455003 |
| ovaries | 0.35914 |
| mom’s sisters | 0.481845 |
| changes | 0.331125 |
| husband | 0.327717 |
| BRCA1 | 0.363427 |
| BRCA gene mutation.BRCA | 0.617571 |
| BRCA2 | 0.331 |
| bilateral mastectomy—to | 0.468475 |
| genetic counseling | 0.456663 |
| mother | 0.37161 |
| http://1.usa.gov/1Nlua9j | 0.328675 |
| mutations | 0.334032 |
| world | 0.32739 |
| hereditary breast cancer | 0.618104 |
| international aid worker | 0.562278 |
| children | 0.359201 |
| aunt | 0.339369 |
| action | 0.327432 |
| BReast CAncer gene | 0.680587 |
|
| Cassie | 0.73221 |
| ovarian cancer risk | 0.583338 |
| genetic change | 0.453965 |
| family members | 0.580525 |
| higher risk | 0.591522 |
| BRCA gene | 0.628868 |
| breast cancer risk | 0.653181 |
| genes | 0.331094 |
| breast cancer | 0.982135 |
| nonprofit consultant | 0.445855 |
| birth | 0.328159 |
| disease. | 0.329944 |
| doctor | 0.328265 |
| chemical database | 0.463246 |
| BRCA gene mutation | 0.590761 |
| family history | 0.448497 |
| 40s | 0.339763 |
| cancer risk | 0.661496 |
| difference | 0.327528 |
| body’s functions | 0.455996 |
| age | 0.33062 |
| child | 0.3526 |
|
CLICK HERE |
| 13852 |
Centers for Disease Control and Prevention |
Html |
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New Data on Older Drivers | Features | CDC |
Driving helps older adults stay mobile and independent, but the risk of being injured or killed in a motor vehicle crash increases as people age. |
| older men | 0.732641 |
| physical problem | 0.389636 |
| drug interactions | 0.240826 |
| people age | 0.416603 |
| motor vehicle crash | 0.692997 |
| cell phone | 0.245167 |
| driver age | 0.23628 |
| public transit | 0.241647 |
| heavy traffic | 0.249379 |
| vehicle crash increases | 0.717316 |
| contact lenses | 0.240494 |
| loud radio | 0.246798 |
|
| high-speed roads | 0.247267 |
| vision-related issues | 0.246263 |
| older women | 0.73169 |
| certain conditions | 0.400616 |
| eye doctor | 0.235348 |
| bad weather | 0.407852 |
| current drivers | 0.378759 |
| possible side effects | 0.24318 |
| older adults | 0.910772 |
| potential alternatives | 0.242376 |
| motor vehicle crashes | 0.378111 |
| large following distance | 0.370926 |
|
CLICK HERE |
| 14104 |
Centers for Disease Control and Prevention |
Image |
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Heart Age Infographic | Blood Pressure |
null |
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CLICK HERE |