| 5227 |
Centers for Disease Control and Prevention |
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Mother-to-Child Transmission of HIV and Congenital Syphilis |
Every year, approximately 370,000 babies are born with HIV, mostly in sub-Saharan Africa. Without treatment, over half of these children will die before the age of 2. |
| treatment | 0.286895 |
| leader | 0.240466 |
| country | 0.23836 |
| CDC | 0.474053 |
| half | 0.241457 |
| fact | 0.24117 |
| Winnable battle goals | 0.656623 |
| congenital syphilis | 0.685231 |
| safe infant feeding | 0.73908 |
| U.S. President | 0.432801 |
| babies | 0.247062 |
| antenatal care | 0.758652 |
| antenatal care visit | 0.709197 |
| infant mortality | 0.535324 |
| program outcomes | 0.431149 |
| infant health impact | 0.695114 |
| stillbirths | 0.241277 |
| sub-Saharan Africa | 0.49597 |
| AIDS Relief | 0.433233 |
| children | 0.246001 |
| systems | 0.238558 |
| antiretroviral medications | 0.751469 |
|
| rapid point-of-care testing | 0.628899 |
| mother-to-child transmission | 0.998819 |
| broad PMTCT scale-up | 0.645689 |
| Emergency Plan | 0.438219 |
| burden African countries | 0.63412 |
| service provision | 0.43126 |
| infants | 0.245901 |
| infant deaths | 0.547597 |
| routine detection | 0.451703 |
| syphilis | 0.719334 |
| global efforts | 0.436946 |
| PEPFAR | 0.239587 |
| services | 0.238242 |
| prominent cause | 0.446782 |
| practices | 0.242236 |
| key interventions | 0.48389 |
| HIV | 0.831504 |
| antenatal data collection | 0.726561 |
| integration | 0.238272 |
| information | 0.238145 |
| HIV-infected pregnant women | 0.720804 |
|
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| 5745 |
Centers for Disease Control and Prevention |
Html |
en |
Welding fumes - 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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| 7314 |
Centers for Disease Control and Prevention |
Html |
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Evolution of Varicella Surveillance - Selected States, 2000-2010 |
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. |
| passive case-based surveillance | 0.408496 |
| varicella case-based surveillance | 0.436445 |
| CDC | 0.42396 |
| Varicella surveillance practices | 0.46292 |
| varicella reporting | 0.421085 |
| active surveillance sites | 0.310197 |
| 1-dose varicella vaccination | 0.420486 |
| passive varicella surveillance | 0.469548 |
| actual varicella incidence | 0.42166 |
| varicella active surveillance | 0.432774 |
| state surveillance data | 0.289783 |
| VASP sites | 0.296702 |
| varicella surveillance data | 0.664399 |
| routine childhood vaccination | 0.29741 |
| state varicella surveillance | 0.532524 |
| 2-dose varicella vaccination | 0.455946 |
| overall varicella incidence | 0.434801 |
| varicella vaccine | 0.774286 |
| 2-dose varicella vaccine | 0.408294 |
| Varicella deaths | 0.369163 |
| varicella incidence | 0.721456 |
| national surveillance data | 0.300424 |
| varicella trends | 0.37185 |
| varicella epidemiology | 0.372592 |
| National varicella surveillance | 0.438539 |
|
| continuous varicella | 0.365831 |
| vaccination coverage increases | 0.293566 |
| single dose | 0.31519 |
| passive surveillance | 0.309523 |
| varicella vaccination | 0.57194 |
| consistent reporting | 0.544771 |
| United States | 0.340939 |
| passive surveillance data | 0.300652 |
| varicella vaccination status | 0.42655 |
| varicella data | 0.453851 |
| states | 0.629055 |
| National Notifiable Diseases | 0.394388 |
| national passive varicella | 0.442933 |
| varicella vaccination program | 0.506793 |
| varicella vaccination coverage | 0.56201 |
| disease severity | 0.286518 |
| consistent reporting criteria | 0.303631 |
| varicella cases | 0.544158 |
| Notifiable Diseases Surveillance | 0.416465 |
| case-based varicella surveillance | 0.425377 |
| varicella | 0.930675 |
| CDC varicella experts | 0.413305 |
| varicella disease epidemiology | 0.391932 |
| childhood vaccination schedule | 0.297076 |
|
CLICK HERE |
| 7716 |
Centers for Disease Control and Prevention |
Html |
en |
Top Referrers (Inbound Links) to CDC.gov - 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. |
| CDC.gov | 0.45965 |
| permanent links | 0.599432 |
| referrer accounting | 0.746301 |
| external Web sites | 0.994265 |
| page | 0.35633 |
|
| Google search engine | 0.905965 |
| Referrer report | 0.823444 |
| Facebook | 0.411095 |
| inbound links | 0.646074 |
| U.S. domains | 0.658956 |
|
CLICK HERE |
| 7891 |
Centers for Disease Control and Prevention |
Html |
en |
Health Literacy | Plain Language |
Plain language resources and promotional materials.. |
| treatment side effects | 0.559853 |
| APP | 0.511561 |
| CDC | 0.524741 |
| plain language web | 0.646298 |
| health information | 0.577186 |
| Spanish translation | 0.559788 |
| Disease Control | 0.565566 |
| 8.5 X 11 | 0.560739 |
| plain language techniques | 0.648698 |
| important message | 0.561058 |
| plain language resources | 0.64564 |
| Health Communication iOS | 0.623986 |
| expert recommendations | 0.56267 |
| National Institutes | 0.561978 |
| Health Literacy Council | 0.627462 |
| Everyday Words | 0.624213 |
| comprehension | 0.512191 |
| Clear Communication initiative | 0.620685 |
| Pages | 0.510952 |
| Plain Language Action | 0.661718 |
| plain language | 0.912017 |
| oncology terms | 0.557863 |
| Delete unnecessary words | 0.606371 |
| materials | 0.518168 |
| large poster | 0.556213 |
|
| Plain Writing Act | 0.653854 |
| small postcard size | 0.604726 |
| page | 0.542519 |
| Information Network | 0.563827 |
| federal employees | 0.566458 |
| clear communications | 0.566897 |
| familiar idea | 0.570847 |
| language communication | 0.584288 |
| Public Health Communication | 0.720077 |
| Plain Language Guidelines | 0.734843 |
| PLP | 0.514238 |
| KB | 0.574455 |
| Plain Language Planner© | 0.653732 |
| federal agencies | 0.572865 |
| common medical language | 0.631499 |
| health literacy objectives | 0.620008 |
| federal plain language | 0.802206 |
| problematic terms | 0.566722 |
| jargon | 0.527056 |
| staff | 0.521693 |
| NIH | 0.527056 |
| agency communicators | 0.56574 |
| organizations | 0.511748 |
| Plain Language Planner | 0.653816 |
|
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| 9618 |
Centers for Disease Control and Prevention |
Html |
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Asthma - BRFSS 2008 - Table L5 Lifetime Asthma Prevalence Rate (Percent) and Prevalence (Number) by Race/Ethnicity and State or Territory |
BRFSS 2008 - Table L5 Lifetime Asthma Prevalence Rate (Percent) and Prevalence (Number) by Race/Ethnicity and State or Territory |
| DC Multirace NH | 0.236658 |
| AZ White NH | 0.238867 |
| ID White NH | 0.233814 |
| AK White NH | 0.239916 |
| FL Black NH | 0.236358 |
| IA White NH | 0.232927 |
| IL Black NH | 0.233156 |
| Hispanic | 0.278095 |
| ID Black NH | 0.233714 |
| AR Multirace NH | 0.238378 |
| CA Multirace NH | 0.238681 |
| AK Black NH | 0.239814 |
| CT Black NH | 0.236656 |
| AR White NH | 0.238684 |
| GA Multirace NH | 0.234428 |
| AL Black NH | 0.240837 |
| NH | 0.950326 |
| AZ Multirace NH | 0.238562 |
| HI Multirace NH | 0.234567 |
| AL White NH | 0.24094 |
| NH Multirace NH | 0.324274 |
| DC Black NH | 0.236862 |
| ID Multirace NH | 0.233556 |
| Black NH | 0.755684 |
| IL Multirace NH | 0.232957 |
|
| Multirace NH | 0.754224 |
| CT White NH | 0.236757 |
| IL White NH | 0.233256 |
| AR Black NH | 0.238582 |
| Total** Multirace NH | 0.241146 |
| Total** Black NH | 0.24136 |
| GA White NH | 0.234729 |
| GA Black NH | 0.234628 |
| DC White NH | 0.236963 |
| IA Black NH | 0.232826 |
| NH White NH | 0.324723 |
| CA White NH | 0.238988 |
| AK Multirace NH | 0.239652 |
| AZ Black NH | 0.238765 |
| HI White NH | 0.234826 |
| Total** White NH | 0.241467 |
| AL Multirace NH | 0.240631 |
| CT Multirace NH | 0.236454 |
| HI Black NH | 0.234726 |
| FL Multirace NH | 0.236155 |
| CA Black NH | 0.238886 |
| FL White NH | 0.236459 |
| NH Black NH | 0.324549 |
| White NH | 0.756695 |
|
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| 10830 |
Centers for Disease Control and Prevention |
Html |
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Preventing Chronic Disease | A Model for Training Public Health Workers in Health Policy: the Nebraska Health Policy Academy - CDC |
There is growing recognition that health goals are more likely to be achieved and sustained if programs are complemented by appropriate changes in the policies, systems, and environments that shape their communities. However, the knowledge, skills, and abilities needed to create and implement policy are among the major needs identified by practitioners at both the state and local levels. This article describes the structure and content of the Nebraska Health Policy Academy (the Academy), a 9-month program developed to meet the demand for this training. |
| 3-county health district | 0.578006 |
| public health policies | 0.61127 |
| policy process | 0.584968 |
| health policy training | 0.650145 |
| training programs | 0.581109 |
| additional public health | 0.605111 |
| health department staff | 0.657216 |
| public health leadership | 0.598593 |
| Public health training | 0.612253 |
| C. Public health | 0.598805 |
| Public Health Infrastructure | 0.602575 |
| policy change | 0.661804 |
| policy development project | 0.694507 |
| health policy efforts | 0.648769 |
| sparsely populated state | 0.577902 |
| P. Community health | 0.584611 |
| public health practice | 0.600605 |
| community health | 0.59964 |
| state public health | 0.630545 |
| community health workers | 0.59192 |
| Nebraska Medical Center | 0.644895 |
| public health policy | 0.756994 |
| public health staff | 0.639767 |
| public health workforce | 0.695602 |
| health promotion | 0.594511 |
|
| Health Services Research | 0.580089 |
| policy development | 0.712519 |
| local health department | 0.59371 |
| health policy | 0.783723 |
| public health burden | 0.595186 |
| Policy versus programs | 0.579802 |
| public health professionals | 0.634281 |
| public health goals | 0.622652 |
| public health | 0.962142 |
| public health organizations | 0.606449 |
| public health workers | 0.622056 |
| policy development tools | 0.586515 |
| Health Policy Academy | 0.771475 |
| public health tool | 0.665371 |
| local public health | 0.642222 |
| evidence-based public health | 0.596174 |
| specific policy change | 0.578952 |
| competency-based training program | 0.617035 |
| Health Policy Curriculum | 0.636133 |
| public health problem | 0.613142 |
| Public Health Service | 0.598618 |
| Public Health Collaborative | 0.601818 |
| Nebraska Health Policy | 0.749346 |
| public health action | 0.601585 |
|
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| 12427 |
Centers for Disease Control and Prevention |
Html |
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Measles | Signs and Symptoms | CDC |
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| feet | 0.245572 |
| Español | 0.278036 |
| hairline | 0.272903 |
| navigation Skip | 0.60009 |
| patient | 0.244689 |
| person’s fever | 0.439094 |
| fever subsides | 0.43571 |
| legs | 0.254024 |
| Signos y sÃntomas | 0.465014 |
| early sign | 0.435785 |
| flat red spots | 0.973251 |
| Koplik spots | 0.761199 |
| rest | 0.24589 |
|
| list Skip | 0.599568 |
| tiny white spots | 0.768351 |
| page options Skip | 0.815659 |
| Small raised bumps | 0.627106 |
| neck | 0.248295 |
| Fahrenheit | 0.257653 |
| symptoms | 0.35035 |
| rash | 0.423641 |
| face | 0.24318 |
| mouth | 0.325895 |
| arms | 0.246107 |
| measles infection | 0.511194 |
|
CLICK HERE |
| 14150 |
Centers for Disease Control and Prevention |
Html |
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Interim Guidelines for Prevention of Sexual Transmission of Zika Virus - United States, 2016 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| Johns Hopkins University | 0.456973 |
| infected women | 0.440277 |
| chain reaction testing | 0.469346 |
| infected mosquitoes | 0.440832 |
| health care provider | 0.464949 |
| symptom onset | 0.437206 |
| Human Services | 0.528437 |
| Zika virus | 0.917421 |
| U.S. Department | 0.456817 |
| pregnant women | 0.493121 |
| electronic PDF version | 0.459216 |
| sexual contact | 0.447928 |
| Zika-like illness | 0.436797 |
| active Zika virus | 0.661092 |
| symptomatic illness | 0.43905 |
| Zoonotic Infectious Diseases | 0.501869 |
| infected men | 0.439963 |
| replication-competent Zika virus | 0.547772 |
| sexual activity | 0.465186 |
| mosquito-borne flavivirus | 0.441489 |
| National Center | 0.496447 |
| TB Prevention | 0.455747 |
| Recent evidence | 0.437529 |
| Viral Hepatitis | 0.454912 |
| Guillain-Barré syndrome | 0.439629 |
|
| Zika virus transmission | 0.674272 |
| maternal Zika virus | 0.560572 |
| Aedes aegypti | 0.442506 |
| illness onset | 0.439347 |
| vector-borne Zika virus | 0.539846 |
| Current information | 0.436685 |
| sex partners | 0.496172 |
| original MMWR paper | 0.460354 |
| CDC’s guidelines | 0.445779 |
| possible association | 0.467698 |
| Zika virus infection | 0.597469 |
| duration | 0.44031 |
| adverse fetal outcomes | 0.470001 |
| John T. Brooks | 0.457943 |
| single report | 0.436028 |
| anal intercourse | 0.436594 |
| sexual transmission | 0.69962 |
| Dallas County Health | 0.46863 |
| semen specimens | 0.436977 |
| Colorado State University | 0.459681 |
| sexual contacts | 0.448611 |
| male genitourinary tract | 0.460616 |
| Zika virus testing | 0.5642 |
| active transmission | 0.46181 |
|
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| 14336 |
Centers for Disease Control and Prevention |
Html |
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Vital Signs: Preparing for Local Mosquito-Borne Transmissionof Zika Virus - United States, 2016 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| Wkly Rep. Published | 0.394524 |
| mosquito-borne Zika virus | 0.53538 |
| CDC’s Travelers | 0.391272 |
| 1-day Zika Action | 0.433732 |
| health care provider | 0.408551 |
| effective response plans | 0.399699 |
| Human Services | 0.389178 |
| early pregnancy loss | 0.409303 |
| Zika virus | 0.966598 |
| U.S. Department | 0.389626 |
| possible Zika virus | 0.493696 |
| pregnant women | 0.459306 |
| pregnancy problems | 0.360971 |
| Polen KN | 0.359697 |
| common signs | 0.357907 |
| electronic PDF version | 0.394407 |
| pregnant woman | 0.375075 |
| active Zika virus | 0.631913 |
| up-to-date travel information | 0.401509 |
| early detection | 0.362401 |
| health care providers | 0.400718 |
| male partners | 0.357985 |
| Zika virus disease | 0.58622 |
| U.S. government agencies | 0.427872 |
|
| anticipated emergence | 0.362717 |
| Zika virus transmission | 0.857701 |
| special precautions | 0.355941 |
| Aedes species mosquitoes | 0.417159 |
| vaginal intercourse | 0.362322 |
| original MMWR paper | 0.399515 |
| Widespread Zika virus | 0.535838 |
| Zika virus infection | 0.695791 |
| continental United States | 0.411287 |
| CDC Zika Response | 0.463454 |
| MMWR Morb Mortal | 0.403332 |
| local government officials | 0.402224 |
| MMWR readers | 0.355647 |
| U.S. state | 0.364827 |
| senior state | 0.355914 |
| U.S. Virgin Islands | 0.405205 |
| anal intercourse | 0.36402 |
| Zika preparedness | 0.382432 |
| sexual transmission | 0.387415 |
| virus infection acquisition | 0.4782 |
| mosquito-borne transmission | 0.512209 |
| local jurisdictions | 0.359327 |
| local government partners | 0.422843 |
| interim guidelines | 0.354686 |
|
CLICK HERE |