| 719 |
Centers for Disease Control and Prevention |
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Differences Between HIV-Infected Men and Women inAntiretroviral Therapy Outcomes - Six African Countries,2004-2012 |
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. |
| ART program outcomes | 0.504594 |
| ART | 0.824938 |
| new HIV infections | 0.504364 |
| standardized abstraction forms | 0.482568 |
| Health medical records | 0.437355 |
| CУДte d'Ivoire | 0.937565 |
| higher attrition risk | 0.519726 |
| Pediatric AIDS Foundation | 0.486173 |
| African countries | 0.469407 |
| first-line ART regimen | 0.481631 |
| African ART programs | 0.464111 |
| men | 0.693589 |
| MD | 0.470906 |
| ART facilities | 0.486577 |
| national public health | 0.422086 |
| western Africa | 0.427035 |
| CD4 count | 0.467579 |
| southern African cohorts | 0.49533 |
| ART initiation | 0.7454 |
| attrition | 0.75176 |
| World Health Organization | 0.527399 |
| program patient outcomes | 0.433853 |
| Global Health | 0.519078 |
| ART outcomes | 0.422294 |
|
| ART program | 0.529419 |
| male attrition | 0.474627 |
| Tanzania | 0.445641 |
| significant higher attrition | 0.513224 |
| ART medical records | 0.483661 |
| -infected men | 0.430125 |
| ART enrollees | 0.579447 |
| ART regimen | 0.553267 |
| adult men | 0.429265 |
| countries | 0.492186 |
| Glaser Pediatric AIDS | 0.485069 |
| study-eligible ART patients | 0.479865 |
| HIV disease stage | 0.633377 |
| Swaziland | 0.43398 |
| ART program improvement | 0.457769 |
| Behavioral Health Sciences | 0.421081 |
| southern Africa | 0.584578 |
| higher attrition | 0.568352 |
| higher attrition rates | 0.566992 |
| lower rates | 0.473295 |
| eastern Africa | 0.468405 |
| adult ART enrollees | 0.476673 |
| attrition risk | 0.601411 |
|
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| 5764 |
Centers for Disease Control and Prevention |
Html |
en |
Dimethyl-1,2-dibromo-2,2-dichlorethyl phosphate - NIOSH Pocket Guide to Chemical Hazards |
null |
| 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 |
|
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| 6135 |
Centers for Disease Control and Prevention |
Html |
en |
CDC Media Relations - Media Advisory: July 25, 2011 |
CDC Urges: Stay Cool to Stay Healthy As Temperatures Soar |
| high body temperatures | 0.478181 |
| East Coast | 0.350638 |
| heat safety information | 0.486008 |
| Christopher Portier | 0.342389 |
| heat disorders | 0.376385 |
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| heat-related illnesses | 0.404022 |
| Disease Control | 0.347678 |
| band rehearsals | 0.324476 |
| cooler parts | 0.327873 |
| weather event | 0.348689 |
| public facilities | 0.333976 |
| heat exhaustion | 0.40807 |
| body heat | 0.379312 |
| heat stroke | 0.397498 |
| Environmental Health | 0.342776 |
| recreational activities | 0.446138 |
| alter practices | 0.323074 |
| heat-related illness | 0.800052 |
| heat sickness | 0.38533 |
| activity level | 0.332527 |
| parked cars | 0.329366 |
| health problems | 0.325498 |
| high temperatures | 0.325014 |
| visit www.cdc.gov | 0.413538 |
|
| Dr. PH | 0.325821 |
| health effects | 0.340293 |
| heavy safety gear | 0.429292 |
| overheated place | 0.338636 |
| Injury Prevention | 0.3266 |
| United States | 0.34863 |
| massive heat wave | 0.508218 |
| organ damage | 0.336513 |
| Prevention officials | 0.342823 |
| extreme heat | 0.904209 |
| fluid intake | 0.328155 |
| Linda Degutis | 0.322472 |
| debilitating injury | 0.324688 |
| cool non-alcoholic beverages | 0.45029 |
| e.g. football | 0.322572 |
| extreme heat warnings | 0.503245 |
| sports organizations | 0.322606 |
| chronic medical condition | 0.447384 |
| Common sense | 0.331711 |
| free weather alerts | 0.412866 |
| protective factor | 0.325382 |
| people | 0.457115 |
| high blood pressure | 0.42211 |
| shopping malls | 0.333453 |
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| 6764 |
Centers for Disease Control and Prevention |
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Global Health - South Africa - CDC's HIV Prevention Programs: A Comprehensive Approach |
CDC partners in South Africa with government and parastatal agencies, private institutions, universities and non-governmental organizations to improve the country’s public health foundation, to prevent transmission of HIV, to provide care and treatment for those who are already infected with HIV, and to strengthen laboratory capacity.
|
| South African culture | 0.713852 |
| HIV prevention messaging | 0.764032 |
| stigma | 0.529005 |
| endorsement | 0.529484 |
| Biomedically-focused HIV activities | 0.797332 |
| traditional healers | 0.710308 |
| significant role | 0.608767 |
| most-at-risk populations | 0.614529 |
| general population | 0.610667 |
| consistent programs | 0.61699 |
| Content source | 0.607439 |
| HHS | 0.532107 |
| comprehensive approach | 0.629226 |
| government | 0.517879 |
| Notice | 0.519482 |
| Blood Service | 0.619912 |
| treatment services | 0.60734 |
| Province Blood Transfusion | 0.730986 |
| fear | 0.518996 |
| evidence-based behavior change | 0.742025 |
|
| cases | 0.518273 |
| counseling | 0.5176 |
| strategies | 0.520334 |
| South Africans | 0.642456 |
| multiple prevention interventions | 0.751355 |
| testing | 0.51758 |
| prevention messages | 0.617625 |
| safe medical injections | 0.732609 |
| adult male circumcision | 0.729098 |
| difficulty | 0.520575 |
| transfusion-transmitted HIV infection | 0.785958 |
| non-federal site | 0.625538 |
| HIV services | 0.679595 |
| valuable partners | 0.611139 |
| South African National | 0.73282 |
| employees | 0.516889 |
| CDC South Africa | 0.982614 |
| disease-free blood | 0.639199 |
| support | 0.517947 |
|
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| 8700 |
Centers for Disease Control and Prevention |
Html |
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Preventing Chronic Disease | Hospital Utilization, Costs, and Mortality for Adults With Multiple Chronic Conditions, Nationwide Inpatient Sample, 2009 - CDC |
Our objective was to provide a national estimate across all payers of the distribution and cost of selected chronic conditions for hospitalized adults in 2009, stratified by demographic characteristics. |
| Human Services | 0.483734 |
| Chronic Conditions Strategic | 0.532482 |
| hospital inpatient care | 0.483067 |
| multiple chronic conditions | 0.730016 |
| Ohio Hospital Association | 0.476442 |
| Maine Health Data | 0.476627 |
| different chronic conditions | 0.551539 |
| Colorado Hospital Association | 0.476941 |
| Kansas Hospital Association | 0.476812 |
| Georgia Hospital Association | 0.47689 |
| racial/ethnic groups | 0.500285 |
| Health Care Cost | 0.486829 |
| community hospitals | 0.541914 |
| Iowa Hospital Association | 0.476825 |
| Health Services Cost | 0.491363 |
| Hospital Industry Data | 0.472726 |
| age groups | 0.525108 |
| Hospital Association | 0.599198 |
| common dyads | 0.480939 |
| national estimates | 0.474918 |
| largest all-payer inpatient | 0.512283 |
| Minnesota Hospital Association | 0.476654 |
| chronic condition groups | 0.515785 |
| adult discharges | 0.557397 |
|
| National Hospital Disparities | 0.474443 |
| complex chronic illness | 0.505725 |
| United States | 0.512653 |
| Wyoming Hospital Association | 0.474557 |
| adults | 0.484902 |
| State Health Services | 0.480585 |
| Health Care Finance | 0.47244 |
| total health care | 0.482483 |
| coexisting chronic condition | 0.522299 |
| health care | 0.529145 |
| Healthcare Research | 0.484358 |
| all-payer inpatient database | 0.51307 |
| Nationwide Inpatient Sample | 0.503929 |
| Tennessee Hospital Association | 0.476285 |
| Chronic kidney disease | 0.504513 |
| highly related conditions | 0.475276 |
| MCC | 0.548534 |
| NIS hospital sample | 0.489545 |
| Health Care Administration | 0.472637 |
| chronic conditions | 0.984364 |
| American Hospital Association | 0.485787 |
| chronic illness | 0.535126 |
| Nebraska Hospital Association | 0.47662 |
| Connecticut Hospital Association | 0.476928 |
|
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| 10451 |
Centers for Disease Control and Prevention |
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Email Updates: July 2, 2012'Clinicians 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. |
| commonly reported RWI | 0.424501 |
| CDC | 0.966103 |
| foodborne disease component | 0.422471 |
| Council Action Plan | 0.557411 |
| low blood pressure | 0.422901 |
| Previous COCA Conference | 0.474959 |
| – (CDC) | 0.630206 |
| CDC Science Clips | 0.727761 |
| new diagnostic test | 0.429794 |
| Free CE credit/contact | 0.446281 |
| Weekly Flu View | 0.424965 |
| Recreational Water Illnesses | 0.442925 |
| on-demand emergency preparedness | 0.460442 |
| contaminated recreational water | 0.443489 |
| North America Naturalyte | 0.425122 |
| Current Travel Warnings | 0.425459 |
| Foodborne Diseases Active | 0.426243 |
| 122-Cities Mortality Reporting | 0.425191 |
| emergency preparedness | 0.484681 |
| public health laboratories | 0.444846 |
| CDC iPad App | 0.788755 |
| Download CDC | 0.70635 |
| CDC Test | 0.629772 |
| COCA Email Update | 0.469717 |
| National Prevention Strategy | 0.574497 |
|
| CDC DENV-1-4 Real | 0.680482 |
| public health community | 0.467512 |
| extreme heat | 0.432726 |
| national health objectives | 0.457137 |
| Concentrate – Jun | 0.42877 |
| Fresenius Medical Care | 0.427286 |
| flood water | 0.430282 |
| Healthy People | 0.458063 |
| water play areas | 0.441746 |
| public health | 0.502377 |
| recreational water | 0.486325 |
| Specific Hazards preparedness | 0.444535 |
| Jun | 0.472551 |
| serum bicarbonate level | 0.424915 |
| dengue hemorrhagic fever | 0.447274 |
| FoodSafety.gov Reports FDA | 0.437613 |
| National Prevention Council | 0.649752 |
| Emergency – Jun | 0.455996 |
| Prevention Council Action | 0.568887 |
| USDA Food Recalls | 0.422314 |
| Response Training Resources | 0.445057 |
| actions Council departments | 0.436184 |
| public health research | 0.46713 |
| Excessive heat wave | 0.427299 |
|
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| 12556 |
Centers for Disease Control and Prevention |
Video |
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CDC: Tips From Former Smokers - Brian's Story |
Smoking is especially dangerous for people who are living with HIV, the virus that can cause AIDS. Brian learned that lesson the hard way, when he had a stroke—a brain attack—at age 43. Over time, smoking and having HIV had led to clogged blood vessels in Brian's neck. In this video from CDC's Tips From Former Smokers campaign, Brian talks about surviving HIV-related medical problems. He regained good health—then nearly lost his life because of smoking.
Comments on this video are allowed in accordance with our comment policy: http://www.cdc.gov/SocialMedia/Tools/CommentPolicy.html
This video can also be viewed at
http://streaming.cdc.gov/vod.php?id=c103243507a5410aa75683aedab903b320140620100943117 |
| Brian | 0.658455 |
| Smokers | 0.932887 |
|
| CDC | 0.92604 |
| YouTube | 0.871802 |
|
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| 14396 |
Centers for Disease Control and Prevention |
Html |
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Medication Use During Pregnancy | CDC Features |
The safety of most medications taken by pregnant women is unknown and dependent on many factors. Talk with your doctor if you are pregnant or planning a pregnancy. |
| CDC | 0.429766 |
| little information | 0.46666 |
| type | 0.415688 |
| Teratology Information Specialists | 0.520653 |
| National Birth Defects | 0.644965 |
| possible risks | 0.530794 |
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| Disease Control | 0.54286 |
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| safety | 0.491886 |
| medications | 0.927183 |
| pregnant woman | 0.55806 |
| health conditions | 0.467425 |
| health care providers | 0.607377 |
| U.S. Food | 0.471073 |
| general safety | 0.467624 |
| certain medication | 0.486617 |
| pregnancy | 0.767025 |
| over-the-counter medications | 0.730772 |
| possible risk factors | 0.640597 |
| effects | 0.523167 |
| NBDPS website | 0.525971 |
| Defects Prevention Study | 0.647896 |
| Examples | 0.414845 |
|
| problems | 0.424392 |
| unborn baby | 0.548793 |
| Centers | 0.429235 |
| Drug Administration | 0.467327 |
| babies | 0.424129 |
| public | 0.428057 |
| FDA Pregnancy Registry | 0.528225 |
| certain medications | 0.785668 |
| special studies | 0.462557 |
| isotretinoin | 0.418457 |
| harmful effects | 0.476202 |
| animal studies | 0.465933 |
| OTIS | 0.426768 |
| Talk | 0.425843 |
| birth defects | 0.733473 |
| Birth Defects Prevention | 0.637093 |
| unborn child | 0.548859 |
| doctor | 0.534506 |
| FDA MedWatch Program | 0.519307 |
| prescription | 0.431877 |
| Pregnant animals | 0.550197 |
| high blood pressure | 0.533566 |
| herbal products | 0.624119 |
| harmful medications | 0.582993 |
|
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Centers for Disease Control and Prevention |
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Fall Injuries Prevention in the Workplace: Publications: Literature Search - NIOSH Workplace Safety and Health Topic |
Fall Injuries Prevention in the Workplace: Publications: Literature Search |
| journal articles | 0.615836 |
| grant reports | 0.731749 |
| NIOSH | 0.465003 |
|
| searchable bibliographic database | 0.986441 |
| documents | 0.259491 |
| occupational safety | 0.754711 |
|
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| 15301 |
Centers for Disease Control and Prevention |
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2011-12 Flu Season |
FluVaxView vaccination coverage 2011-12 Influenza Season - CDC |
| Early Vaccination Coverage | 0.399688 |
| influenza vaccination coverage | 0.474674 |
| Population Early Season | 0.458373 |
| Dashboard | 0.462644 |
| Vaccination Trends | 0.410121 |
| Women Vaccination Coverage | 0.469272 |
| Single Season Report | 0.315815 |
| Season Vaccination Coverage | 0.671612 |
| vaccination coverage | 0.99715 |
| General Population Coverage | 0.431827 |
| Pregnant Women | 0.533648 |
| Key Findings | 0.339313 |
| 2011-12 Report | 0.281486 |
| state-level influenza vaccination | 0.423187 |
| Population Vaccination Coverage | 0.632614 |
| Trend Report | 0.347401 |
| page options Skip | 0.270986 |
| Pregnant Women Vaccination | 0.469833 |
| Season General Population | 0.540529 |
| General Population Vaccination | 0.636168 |
| Influenza Vaccination Distribution | 0.396826 |
| (Flu) | 0.312196 |
| Influenza Types | 0.295164 |
| 2012-13 Report | 0.280287 |
| United States | 0.379498 |
|
| email address | 0.307674 |
| Early Season Vaccination | 0.61718 |
| general population | 0.837533 |
| 2016-17 Trend Report | 0.333232 |
| Search Form Controls | 0.329048 |
| Health Care Personnel | 0.690426 |
| Recent Influenza Vaccination | 0.396266 |
| 2016-17 Report | 0.281171 |
| NIS-Flu Influenza Data | 0.430176 |
| Local Areas | 0.321182 |
| Personnel Flu Vaccination | 0.393971 |
| General Population Place | 0.435505 |
| General Population NHIS | 0.433311 |
| Influenza Season | 0.327244 |
| Seasonal Flu | 0.284403 |
| Internet Panel Survey | 0.296903 |
| Report | 0.412559 |
| Single Season Dashboard | 0.36232 |
| Mid-Season Flu Vaccination | 0.434171 |
| Seasonal Influenza | 0.278053 |
| Nursing Home | 0.289694 |
| 2013-14 Report | 0.308986 |
| Flu Season | 0.312552 |
| Flu Vaccination Coverage | 0.58147 |
|
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