| 7184 |
Centers for Disease Control and Prevention |
Html |
en |
National HIV Testing Day - June 27, 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. |
| mmwrq@cdc.gov. | 0.374336 |
| endorsement | 0.266885 |
| evidence | 0.239366 |
| Human Services | 0.449942 |
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| assistive technology | 0.379396 |
| essential entry point | 0.494228 |
| recommendations | 0.245038 |
| MMWR HTML versions | 0.468097 |
| U.S. Department | 0.455094 |
| undiagnosed HIV infection | 0.780234 |
| electronic PDF version | 0.457752 |
| HIV status | 0.616005 |
| social services | 0.365461 |
| cell count | 0.3515 |
| e-mail | 0.257344 |
| HIV testing information | 0.74332 |
| Contact GPO | 0.373231 |
| commercial sources | 0.349371 |
| HIV treatment | 0.627564 |
| current prices | 0.344222 |
| persons | 0.41328 |
| chances | 0.229199 |
| original paper copy | 0.464337 |
|
| human immunodeficiency virus | 0.508646 |
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| original MMWR paper | 0.463146 |
| antiretroviral therapy | 0.387547 |
| MMWR readers | 0.353615 |
| character translation | 0.34235 |
| health-care settings | 0.360279 |
| HIV transmission | 0.612248 |
| health care | 0.478319 |
| format errors | 0.342363 |
| subject line | 0.375046 |
| harmful effects | 0.354406 |
| typeset documents | 0.349077 |
| trade names | 0.349469 |
| hiv testing | 0.918453 |
| official text | 0.340692 |
| National HIV Testing | 0.797094 |
| appropriate treatment | 0.356158 |
| non-CDC sites | 0.347038 |
| Antiretroviral Guidelines | 0.387149 |
| pretreatment | 0.231569 |
| risk | 0.250705 |
| electronic conversions | 0.339043 |
| unsuppressed HIV replication | 0.746404 |
|
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| 7705 |
Centers for Disease Control and Prevention |
Html |
en |
Campaigns - eHealth Metrics Dashboard |
CDC.gov Web Metrics Dashboard. Key performance indicators and data for CDC’s Web site, Social Media, and Campaigns. CDC is sharing this data as part of the agency’s commitment to transparent government. |
| Seasonal Flu | 0.670756 |
| reports | 0.504338 |
| H1N1 Web | 0.582216 |
| contact socialmedia | 0.60642 |
| Social Media | 0.805979 |
| CDC eHealth channels | 0.954077 |
| H1N1 outbreak | 0.638924 |
| format | 0.435847 |
| additional metrics data | 0.884627 |
| messaging | 0.444815 |
|
| PDF | 0.465205 |
| health communication | 0.618274 |
| MB | 0.454808 |
| cdc.gov | 0.433624 |
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|
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| 7857 |
Centers for Disease Control and Prevention |
Html |
en |
Malaria in Global Health - Health Communication |
Malaria in Global Health - Gateway to Health Communication - CDC |
| South America | 0.384138 |
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| indoor insecticide | 0.392896 |
| antimalarial drugs | 0.396846 |
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| great promise | 0.377733 |
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| immune systems | 0.380826 |
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| malaria infection | 0.579819 |
| malaria-risk areas | 0.399491 |
| high transmission areas | 0.44955 |
| partial immunity | 0.383577 |
| malaria-related deaths | 0.382485 |
| Improved access | 0.374072 |
| infective female Anopheles | 0.477889 |
| encouraging recent progress | 0.435084 |
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| Malaria symptoms | 0.604222 |
| high-risk area | 0.386289 |
| overseas travelers | 0.390867 |
| vast majority | 0.394364 |
| insecticide-treated bed nets | 0.799333 |
| malaria parasites | 0.573777 |
|
| insecticide-treated bednets | 0.431928 |
| United States | 0.396195 |
| effective preventative measure | 0.446921 |
| kidney failure | 0.382925 |
| malaria | 0.996296 |
| Untreated malaria | 0.602917 |
| repeated attacks | 0.384748 |
| Safia Mohamed | 0.378057 |
| Middle East | 0.385348 |
| recent developments | 0.377553 |
| initial onset | 0.386325 |
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| muscle aches | 0.392967 |
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| flu-like symptoms | 0.397349 |
| major health problem | 0.47414 |
| Anopheles mosquito | 0.411183 |
| milder infections | 0.388789 |
| newest forms | 0.378597 |
| malaria-endemic areas | 0.458517 |
| effective drugs | 0.450881 |
| South Asia | 0.392567 |
| early diagnosis | 0.382675 |
| malaria prevention | 0.56651 |
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| 8600 |
Centers for Disease Control and Prevention |
Html |
en |
PanFlu Storybook - I Survived, Dr. Otto Wernecke |
I Survived, The staggering statistics associated with pandemics sometimes makes it difficult to remember that each number represents a single, human life. In this section, survivors share their intimate recollections of either their own illness or that of a loved one. All these storytellers are 90-plus years of age and they have carried with them for a lifetime their memories of the 1918 flu pandemic. |
| siblings | 0.349974 |
| scarlet fever | 0.564403 |
| brothers | 0.342031 |
| rural Manitowoc | 0.682679 |
| flu epidemic | 0.598511 |
| family stories | 0.516122 |
| Louise | 0.404788 |
| mother | 0.455342 |
| wonderful man | 0.534947 |
| son | 0.34569 |
| father′s death | 0.52072 |
| casket | 0.354064 |
| Rev. Machmiller | 0.541519 |
| sister | 0.340342 |
| 2–year–old daughter Frieda | 0.8048 |
| little ones | 0.539785 |
| father′s funeral | 0.546732 |
| wife | 0.398218 |
| dentist | 0.352218 |
| I′ve | 0.341133 |
| brother Henry | 0.529717 |
| Caroline Wernecke Pharris | 0.94684 |
| millinery store | 0.5767 |
| flu pandemic | 0.577639 |
| dental work | 0.541762 |
|
| fact | 0.341815 |
| unnecessary contagion | 0.580599 |
| Cleveland | 0.342831 |
| happy memories | 0.51558 |
| Margaret | 0.34144 |
| Storyteller | 0.351502 |
| village | 0.346357 |
| Caroline Kansier | 0.597887 |
| Wisconsin | 0.403564 |
| pastor | 0.342128 |
| disease | 0.346053 |
| couldn′t | 0.341017 |
| sisters | 0.34201 |
| people | 0.392049 |
| trajectory | 0.352146 |
| large department stores | 0.712871 |
| three–year–old | 0.341963 |
| Dr. Otto Wernecke | 0.918979 |
| tragedy | 0.348082 |
| money | 0.343498 |
| Ohio | 0.342811 |
| grandparents′ parlor | 0.562201 |
| time | 0.511444 |
| age | 0.343302 |
|
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| 9846 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Multiple Chronic Conditions andLimitations in Activities of Daily Living in a Community-BasedSample of Older Adults in New York City, 2009 - CDC |
Nationally, 60% to 75% of older adults have multiple (2 or more) chronic conditions (MCCs), and the burden is even higher among low-income, racial/ethnic minority populations. |
| MCCs | 0.506247 |
| City University | 0.45539 |
| G. Chronic care | 0.46242 |
| multiple chronic conditions | 0.552305 |
| BADL limitation | 0.63793 |
| New York City | 0.639209 |
| health outcomes | 0.486414 |
| functional limitation | 0.466456 |
| public housing | 0.465176 |
| specific chronic conditions | 0.498204 |
| Ann Fam Med | 0.453082 |
| racially/ethnically diverse population | 0.455795 |
| nursing home admissions | 0.457177 |
| older NYCHA residents | 0.456792 |
| additional conditions | 0.458312 |
| New York School | 0.508621 |
| older age | 0.45355 |
| CrossRef | 0.463375 |
| NYCHA older residents | 0.458635 |
| chronic conditions increases | 0.497293 |
| greater limitations | 0.478234 |
| community-dwelling older adults | 0.455697 |
| complex medical conditions | 0.462487 |
| IADL limitations | 0.582075 |
|
| York City Housing | 0.504401 |
| ADL limitations | 0.516796 |
| City Housing Authority | 0.494087 |
| racial/ethnic minority populations | 0.457482 |
| greater proportion | 0.46187 |
| association | 0.463358 |
| overall BADL limitations | 0.513971 |
| Sci Soc Sci | 0.453679 |
| self-reported IADL limitations | 0.499187 |
| BADL limitations | 0.860274 |
| Psychol Sci Soc | 0.454503 |
| public health | 0.486168 |
| New York | 0.682378 |
| low-income older adults | 0.550885 |
| common chronic condition | 0.470431 |
| federal poverty guidelines | 0.472979 |
| chronic disease duration | 0.467243 |
| severe limitations | 0.475838 |
| health | 0.515244 |
| common chronic conditions | 0.513372 |
| chronic conditions | 0.989435 |
| York City Department | 0.541818 |
| older adults | 0.712016 |
| Health Soc Behav | 0.467444 |
|
CLICK HERE |
| 10544 |
Centers for Disease Control and Prevention |
Html |
en |
Indoor Firing Ranges - NIOSH Workplace Safety and Health Topic |
null |
| Noise exposure assessment | 0.366077 |
| Police Department | 0.326161 |
| Noise exposure profiles | 0.375086 |
| high-intensity noise | 0.325719 |
| Noise control solutions | 0.33304 |
| Int J Audiol | 0.286142 |
| Noise mitigation | 0.295815 |
| impulsive noise | 0.326627 |
| Workplace Solutions document | 0.33181 |
| two-page Workplace Solutions | 0.335224 |
| health hazards | 0.292079 |
| NIOSH Publication | 0.288614 |
| outdoor firing range | 0.378909 |
| law enforcement officers | 0.28178 |
| occupational shooters | 0.276697 |
| Occupational Exposures | 0.278965 |
| Park Police Department | 0.276597 |
| Noise Control Eng | 0.39024 |
| Indoor Shooting Ranges | 0.368588 |
| airborne lead | 0.353418 |
| ASTM Int | 0.285241 |
| Range Design Criteria | 0.279541 |
| indoor firing range | 0.546461 |
| noise exposure | 0.398961 |
| lead exposure | 0.389209 |
|
| Outdoor Firing Ranges | 0.501179 |
| occupational exposure | 0.310546 |
| firing range facilities | 0.420993 |
| health hazard evaluation | 0.970511 |
| noise | 0.427937 |
| indoor firing ranges | 0.741828 |
| design considerations | 0.279558 |
| airborne lead exposures | 0.337983 |
| Range Officer Exposure | 0.315558 |
| peak insertion loss | 0.34257 |
| indoor firing | 0.934059 |
| noise exposures | 0.352866 |
| impulse peak insertion | 0.342212 |
| Blood Lead Levels | 0.298385 |
| hazard evaluation report | 0.986557 |
| exposure standards | 0.291533 |
| Publication No. | 0.283406 |
| Firing Range Design | 0.378564 |
| inclement weather conditions | 0.28724 |
| Military Firing Range | 0.376469 |
| Acoust Soc | 0.316329 |
| Firearm Noise | 0.286889 |
| Health Hazard Evaluations | 0.339335 |
| firing range operations | 0.417221 |
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| 11972 |
Centers for Disease Control and Prevention |
Html |
en |
Prevención | Enfermedad del Ébola |
null |
| semen | 0.359289 |
| urine | 0.319736 |
| alcohol-based hand sanitizer | 0.666138 |
| U.S. Healthcare Workers | 0.529168 |
| raw meat | 0.354348 |
| health officials | 0.332893 |
| vomit | 0.253499 |
| unprotected mucous membranes | 0.6147 |
| burial rituals | 0.364368 |
| sterilization measures | 0.348978 |
| direct contact | 0.342569 |
| U.S. embassy | 0.356985 |
| Practice careful hygiene | 0.646282 |
| personal protective equipment | 0.53518 |
| medical equipment | 0.351865 |
|
| breast milk | 0.375724 |
| body fluids | 0.938394 |
| nonhuman primates | 0.3909 |
| medical care | 0.339315 |
| blood | 0.290464 |
| infected person | 0.372475 |
| saliva | 0.254898 |
| West Africa | 0.355488 |
| unprotected contact | 0.388611 |
| Isolate patients | 0.346054 |
| Ebola patients | 0.689486 |
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| Ebola | 0.881914 |
|
CLICK HERE |
| 14200 |
Centers for Disease Control and Prevention |
Html |
en |
For Pregnant Women |
Zika and pregnancy, travel information and how to protect yourself if pregnant… |
| pregnancies | 0.241376 |
| right time | 0.364038 |
| Zika infection | 0.543671 |
| United States | 0.367583 |
| infected mosquitoes | 0.445957 |
| questions | 0.229478 |
| Zika virus infection | 0.73232 |
| contact MotherToBaby | 0.355774 |
| confidential service | 0.372481 |
| Outcomes | 0.235046 |
| possible Zika virus | 0.692115 |
| pregnant woman | 0.419976 |
| birth defect | 0.568313 |
| Monday-Friday | 0.253134 |
| talk | 0.231271 |
| MotherToBaby experts | 0.354584 |
| safe time | 0.374127 |
| local time | 0.359879 |
|
| area | 0.23317 |
| laboratory evidence | 0.366297 |
| pregnancy | 0.42623 |
| sex | 0.234195 |
| diagnosis | 0.229909 |
| families | 0.230087 |
| severe fetal brain | 0.892969 |
| birth defects | 0.398983 |
| symptoms | 0.233965 |
| doctor | 0.231232 |
| vaccine | 0.240028 |
| partner | 0.232077 |
| healthcare provider | 0.372353 |
| person | 0.231941 |
| Men | 0.233515 |
| risk | 0.26437 |
| fetal brain defects | 0.900992 |
| fetus | 0.251084 |
|
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| 14379 |
Centers for Disease Control and Prevention |
Html |
en |
Vaccine Information Statement | Recent and Upcoming Changes | VIS |
Refreshing browser so latest version appears and not copy saved in cache. |
| VIS | 0.917617 |
| Tdap Vaccine Information | 0.250528 |
| MenB vaccine VIS | 0.450594 |
| United States | 0.214528 |
| Hib Vaccine Information | 0.247861 |
| current VIS | 0.274357 |
| vaccine information statements | 0.590343 |
| Gardasil-9 VIS | 0.383986 |
| polio vaccine VISs | 0.27582 |
| HPV vaccine | 0.361538 |
| stocks | 0.316462 |
|
| vaccine information | 0.786818 |
| previous editions | 0.355253 |
| Pediatric Vaccines VIS | 0.342101 |
| tdap vaccine | 0.273928 |
| rotavirus Vaccine Information | 0.252495 |
| Vaccine Information Statement | 0.762395 |
| quadrivalent HPV vaccine | 0.278332 |
| Polysaccharide VIS vaccine | 0.413417 |
| Gardasil-4 VIS | 0.299522 |
| Td VIS | 0.300224 |
| cholera vaccine | 0.218029 |
|
CLICK HERE |
| 14602 |
Centers for Disease Control and Prevention |
Html |
en |
CDC Global Health - Infographics - Antibiotic Resistance The Global Threat |
Antibiotic resistance – when bacteria change and cause antibiotics to fail – is happening RIGHT NOW, across the world. |
| 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 |