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Monitoring Alcohol Use - FASD |
FASDs are 100% preventable if a woman does not drink alcohol during pregnancy. There is no known safe amount of alcohol to drink while pregnant. There is also no safe time during pregnancy to drink and no safe kind of alcohol. |
| Prevention Science | 0.28696 |
| Mortality Weekly Report | 0.914658 |
| binge drinking | 0.567137 |
| RL Floyd | 0.335153 |
| Average Volume | 0.281898 |
| Denny CH | 0.383081 |
| Prevalence estimates | 0.294018 |
| Cigarette Smoking | 0.283357 |
| random-digit-dialed telephone survey | 0.384822 |
| landline telephones | 0.298532 |
| Tracking Binge Drinking | 0.377905 |
| certain segments | 0.29178 |
| increased risk | 0.303187 |
| alcohol | 0.568851 |
| Concurrent Alcohol | 0.345965 |
| Nonpregnant Women | 0.30039 |
| High School Girls | 0.366743 |
| scientific articles | 0.298284 |
| prevention programs | 0.301247 |
| alcohol-exposed pregnancy | 0.29686 |
| alcohol consumption rate | 0.430521 |
| alcohol drinking | 0.37064 |
| Floyd RL | 0.601634 |
| preconception care | 0.293798 |
| Child Health Journal | 0.347928 |
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| Behavioral Risk Factor | 0.38427 |
| women | 0.517006 |
| Boyle CA | 0.282808 |
| alcohol-exposed pregnancies | 0.30371 |
| Vital Signs | 0.288616 |
| United States | 0.749943 |
| Article | 0.299997 |
| Green PP | 0.469786 |
| pregnancy outcomes | 0.300132 |
| potential number | 0.302246 |
| read summary | 0.508624 |
| preconception risk factors | 0.366616 |
| CDC monitors | 0.324059 |
| 50 states | 0.303739 |
| Coles CD | 0.287677 |
| following patterns | 0.288803 |
| ethnic disparities | 0.289555 |
| U.S. population | 0.289431 |
| Morbidity | 0.334112 |
| U.S. Childbearing-Age Women | 0.36222 |
| Sokol RJ | 0.289908 |
| Preventive Medicine | 0.283303 |
| Women’s Health | 0.303112 |
| Childbearing Age | 0.492111 |
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The Vaccine Research Team | About | CDC |
In 2008, CDC malaria expert Dr. Mary Hamel learned that the Malaria Vaccine Institute was looking for leading research institutions in Africa to conduct Phase III clinical trials of the world’s most advanced malaria candidate vaccine, RTS,S/AS01. Recognizing that CDC’s nearly 30 years of collaboration on malaria research with the Kenya Medical Research Institute (KEMRI), would uniquely qualify it for serving as vaccine trial site, she told herself: 'We must apply.' |
| blood culture machines | 0.375426 |
| medical epidemiologist | 0.272367 |
| Tony Sang | 0.279826 |
| 8-month-old daughter | 0.254592 |
| lead pediatrician | 0.319847 |
| vaccine research team | 0.770964 |
| Dr. Martina Oneko | 0.456896 |
| pediatric ward | 0.544345 |
| vaccine trial team | 0.580199 |
| clinical trial | 0.275085 |
| co–principal investigator | 0.268865 |
| effective interventions | 0.260546 |
| Hospital pediatric ward | 0.454032 |
| pediatric monitors | 0.277611 |
| laboratory equipment | 0.252112 |
| Maria Oziemkowskis | 0.271795 |
| site coordinator | 0.450588 |
| Dr. Hamel | 0.316053 |
| Site Coordinator Odero | 0.424778 |
| KEMRI/CDC Malaria Branch | 0.654105 |
| Dr. Laurence Slutsker | 0.42771 |
| district hospital | 0.387384 |
| Seth Oluoch | 0.278046 |
| clinical equipment | 0.25152 |
| quality assurance | 0.272699 |
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| specific requirements | 0.246155 |
| proudest moment | 0.28543 |
| malaria vaccine trial | 0.719285 |
| medical superintendent | 0.265457 |
| severely ill children | 0.59645 |
| severe malaria | 0.449566 |
| Nobert Owino | 0.277494 |
| CDC Atlanta | 0.265994 |
| Dr. Meredith McMorrow | 0.454465 |
| chemistry analyzers | 0.249145 |
| Dr. Simon Kariuki | 0.44803 |
| regulatory affairs | 0.276707 |
| debilitating effects | 0.27189 |
| senior staff members | 0.431206 |
| malaria vaccine research | 0.958981 |
| new clinical officers | 0.394319 |
| support staff | 0.257033 |
| Chris Odero | 0.279964 |
| sick children | 0.254622 |
| additional expertise | 0.247783 |
| field supervisor | 0.287575 |
| new digital x-ray | 0.373 |
| acute care room | 0.367986 |
| KEMRI/CDC malaria vaccine | 0.757194 |
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Hearing Loss Among Workers - Health Communication |
Hearing Loss Among Workers - Gateway to Health Communication - CDC |
| loud music | 0.415827 |
| self-reported occupational illness | 0.529034 |
| ear protection | 0.417512 |
| Work-related hearing loss | 0.831443 |
| metals | 0.341767 |
| work environment | 0.408101 |
| ear plugs | 0.425998 |
| hearing aids | 0.639698 |
| immediate threat | 0.40391 |
| support group | 0.400841 |
| problem | 0.338819 |
| injury | 0.321821 |
| worker | 0.342172 |
| communication | 0.337692 |
| family members | 0.41253 |
| rock music | 0.394734 |
| Occupational hearing loss | 0.821195 |
| extremely loud noise | 0.549182 |
| lower levels | 0.415527 |
| mistakes words | 0.400922 |
| equipment manufacturers | 0.404664 |
| entire career | 0.398091 |
| purchasers | 0.321733 |
| solvents | 0.352599 |
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| hearing loss | 0.907638 |
| rock band | 0.39678 |
| job | 0.341506 |
| incorrect perception | 0.40834 |
| frequent exposure | 0.408458 |
| equipment sounds | 0.407658 |
| common occupational disease | 0.522168 |
| social isolation | 0.412574 |
| public | 0.341074 |
| urgency | 0.324492 |
| America | 0.32187 |
| Yes. Occupational hearing | 0.654225 |
| early teens | 0.397052 |
| trouble | 0.340897 |
| co-workers | 0.323663 |
| workers | 0.361168 |
| hazardous noise | 0.419678 |
| warning signs | 0.403707 |
| ear muffs | 0.431047 |
| doctor | 0.338297 |
| exposures | 0.323954 |
| Steve | 0.371042 |
| hazardous levels | 0.519959 |
| Juan | 0.384376 |
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Preventing Chronic Disease | Association Between Self-Reported Household Practices and Body Mass Index of US Children and Adolescents, 2005 - CDC |
Parents can set household practices that influence children’s behaviors. The objective of this study was to determine whether children (children and adolescents aged 9–18 y) who live in a household that has healthful practices related to behaviors associated with obesity have a lower body mass index (BMI). |
| Louise C. Mâsse | 0.390737 |
| somewhat active families | 0.377052 |
| ConsumerStyles survey | 0.376757 |
| children’s behaviors | 0.463762 |
| panel members | 0.431244 |
| lower BMI | 0.372685 |
| self-reported BMI | 0.881091 |
| Styles mail panel | 0.415146 |
| television watching | 0.801493 |
| television watching behaviors | 0.426526 |
| 85th percentile | 0.403841 |
| high BMI | 0.375854 |
| children | 0.856582 |
| school | 0.4873 |
| self-reported BMI percentiles | 0.422595 |
| snacks | 0.420586 |
| healthful household practices | 0.42052 |
| vigorous physical activity | 0.416664 |
| mail panel survey | 0.416395 |
| household practices | 0.923842 |
| adolescents | 0.415251 |
| behaviors | 0.525583 |
| body mass index | 0.423438 |
| purchase fewer sodas | 0.383436 |
| YouthStyles surveys | 0.383197 |
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| sodas | 0.453172 |
| junk food restrictions | 0.615976 |
| BMI percentile categories | 0.610524 |
| higher self-reported BMI | 0.463402 |
| 95th percentile | 0.407197 |
| parents | 0.400716 |
| VPA | 0.450293 |
| household variables | 0.373327 |
| adolescent television watching | 0.401987 |
| white children | 0.38387 |
| active families | 0.499027 |
| National Cancer Institute | 0.488361 |
| healthful practices | 0.381148 |
| lower self-reported BMI | 0.43188 |
| effective sample size | 0.39952 |
| fast-food restaurants | 0.696501 |
| purchasing sodas | 0.389491 |
| annual household income | 0.391516 |
| household practice model | 0.387775 |
| physical activity | 0.636568 |
| household profile | 0.372113 |
| HealthStyles survey | 0.382642 |
| self-reported BMI percentile | 0.566116 |
| multiple household practices | 0.439118 |
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The Centre for AIDS Programme of Research in South Africa (CAPRISA) |
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| research organizations | 0.725989 |
| public health intervention | 0.813411 |
| CAPRISA AIDS Treatment | 0.859846 |
| Treatment Clinic | 0.756607 |
| high risk population | 0.79353 |
| HIV treatment adherence | 0.89021 |
| comprehensive care package | 0.802438 |
| treatment access | 0.734635 |
| public health evaluation | 0.961929 |
| related HIV diseases | 0.825847 |
| Active Antiretroviral Therapy | 0.80217 |
| appropriate time point | 0.787562 |
| co-infected patients | 0.911324 |
| Vulindlela research site | 0.8213 |
| community health workers | 0.819651 |
| South Africa | 0.899262 |
| high unemployment rate | 0.781414 |
| Comprehensive International Program | 0.819757 |
| routinely screens patients | 0.81615 |
| Zulu Communicable Disease | 0.986904 |
| Health program | 0.74856 |
| Prince Zulu Clinic | 0.811159 |
| antiretroviral treatment | 0.753814 |
| five-year cooperative agreement | 0.811393 |
|
| View Success Story | 0.775266 |
| largest TB clinics | 0.939753 |
| CDC funding | 0.791835 |
| sexually transmitted infections | 0.788249 |
| Prince Cyril Zulu | 0.980735 |
| nearby informal settlement | 0.768951 |
| central business district | 0.797794 |
| TB treatment | 0.936808 |
| HIV-TB co-infected patients | 0.856051 |
| Communicable Disease Center | 0.827503 |
| health care worker | 0.815101 |
| CDC/PEPFAR funding | 0.723211 |
| Communicable Disease Centre | 0.818813 |
| Cyril Zulu Communicable | 0.992694 |
| TB services | 0.855299 |
| health care clinic | 0.850548 |
| South African government | 0.803976 |
| TB Recurrence | 0.840839 |
| Sexual Health Clinic | 0.812502 |
| HIV counseling | 0.75286 |
| high blood pressure | 0.773193 |
| free HIV | 0.769233 |
| worst performing subdistricts | 0.780209 |
| African national policy | 0.778243 |
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Malaria - Travelers |
Education and Information for Travelers regarding Malaria risks and prevention. |
| Substandard Antimalarial Drugs | 0.280896 |
| risk assessment | 0.279887 |
| CDC Yellow Book | 0.261834 |
| individual risk assessment | 0.249718 |
| malaria medicines | 0.444975 |
| Malaria Prevention table | 0.497753 |
| United States | 0.345851 |
| appropriate prevention measures | 0.248464 |
| malaria risk | 0.432928 |
| malaria | 0.969432 |
| Malaria Information | 0.517862 |
| antimalarial drugs | 0.349214 |
| returned travelers | 0.239728 |
| Malaria Maps | 0.449589 |
| prescription dosing information | 0.240215 |
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| health care providers | 0.259586 |
| malaria prevention recommendations | 0.569561 |
| United States standards | 0.232823 |
| high quality medicine | 0.231779 |
| immediate medical attention | 0.225252 |
| malaria prevention interventions | 0.518346 |
| specific medicines | 0.261211 |
| countries | 0.204779 |
| Country Table | 0.244797 |
| travelers | 0.313902 |
| antimalarial drug resistance | 0.268309 |
| malaria prevention | 0.787693 |
| malaria transmission | 0.654609 |
| potential drug-drug interactions | 0.232519 |
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Preventing Chronic Disease | Effect of Aerobic Exercise on Cognition, Academic Achievement, and Psychosocial Function in Children: A Systematic Review of Randomized Control Trials - CDC |
Although the effects of aerobic physical activity (APA) on children’s physical health is well characterized, the effect of aerobic physical activity on cognition, academic achievement, and psychosocial function has not yet been established. |
| physical education | 0.659205 |
| Habitual physical activity | 0.66486 |
| Health Measures Survey | 0.665862 |
| mental health | 0.694383 |
| physical activity daily | 0.667631 |
| APA daily Cognitive | 0.68454 |
| children | 0.724077 |
| integrated aerobic activity | 0.662482 |
| vigorous physical activity | 0.680218 |
| psychosocial outcomes | 0.656615 |
| Canadian Physical Activity | 0.69714 |
| regular APA | 0.678531 |
| aerobic physical activity | 0.868959 |
| Canadian Health Measures | 0.681647 |
| MS. Physical activity | 0.668039 |
| test battery APA | 0.679898 |
| physical health | 0.658169 |
| integrated APA | 0.663378 |
| moderate-intensity APA | 0.680752 |
| intensity physical activity | 0.66372 |
| physical activity intervention | 0.675471 |
| aerobic-based physical activity | 0.674977 |
| Physical Activity Glossary | 0.673712 |
| psychosocial functioning outcomes | 0.677572 |
| academic achievement | 0.846013 |
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| moderate APA | 0.66469 |
| APA programs | 0.66732 |
| integrate APA | 0.664721 |
| curriculum time | 0.657253 |
| Physical Activity Guidelines | 0.66792 |
| standardized measure | 0.674997 |
| physical fitness | 0.672125 |
| studies | 0.698038 |
| acute APA | 0.666695 |
| cognitive performance | 0.663967 |
| search strategy | 0.658157 |
| aerobic exercise | 0.671847 |
| physical activity effects | 0.668983 |
| systematic review | 0.781733 |
| aerobic activity | 0.67408 |
| APA intervention group | 0.680615 |
| physical activity | 0.998926 |
| APA | 0.776231 |
| APA intervention | 0.68319 |
| school-based physical activity | 0.693215 |
| et al | 0.661994 |
| APA interventions | 0.683438 |
| academic performance | 0.770817 |
| children’s cognition | 0.657355 |
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Global Health - Polio - Updates on CDC's Polio Eradication Efforts - February 11, 2014 |
Polio is a crippling and potentially deadly infectious disease caused by a virus that spreads from person to person invading the brain and spinal cord and causing paralysis. CDC is a strategic partner in the overall effort to eradicate polio worldwide. |
| global polio eradication | 0.881429 |
| Large-scale polio vaccination | 0.502461 |
| GPEI partners | 0.364191 |
| polio eradication plans | 0.573831 |
| polio eradication | 0.999245 |
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| Polio Eradication Effort | 0.61404 |
| wild poliovirus | 0.383799 |
| vaccination campaign planning | 0.368212 |
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| United Nations Children | 0.363751 |
| AFP cases | 0.357436 |
| polio eradication activities | 0.644754 |
| final push | 0.365186 |
| CDC Director Thomas | 0.415977 |
| Melinda Gates Foundation | 0.361933 |
| CDC resources | 0.378261 |
| polio worldwide | 0.496654 |
| Independent Monitoring Board | 0.358986 |
| EOC operational structure | 0.392006 |
| polio vaccination campaigns | 0.56862 |
| CDC’s engagement | 0.374138 |
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| global polio surveillance | 0.514882 |
| entire CDC community | 0.407038 |
| Polio Eradication Initiative | 0.608689 |
| World Health Organization | 0.421691 |
| outbreak response protocols | 0.357943 |
| timely technical expertise | 0.362966 |
| polio eradication progress | 0.569804 |
| polio cases | 0.521678 |
| in-country technical expertise | 0.362356 |
| Democratic Republic | 0.362039 |
| CDC’s EOC | 0.406305 |
| polio vaccination campaign | 0.515374 |
| countries | 0.369385 |
| CDC’s polio | 0.534985 |
| Epidemiologic Record/CDC Morbidity | 0.360753 |
| enhanced capacity | 0.363311 |
| CDC polio eradication | 0.684833 |
| polio surveillance | 0.560585 |
| technical expertise | 0.366167 |
| finish line | 0.361247 |
| Dr. Frieden | 0.373384 |
| endemic countries | 0.363432 |
| polio eradication efforts | 0.634805 |
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Health Literacy for Public Health Professionals Course | Health Literacy |
CDC Health Literacy. This site provides information and tools to improve health literacy and public health. These resources are for all organizations that interact and communicate with people about health, including public health departments, healthcare providers and facilities, health plans, government agencies, non-profit/community and advocacy organizations, childcare and schools, the media, and health-related industries. |
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Bring Your Brave Campaign - General "Take Action" |
Knowing your cancer risk and being proactive about your health may help you take steps to lower your risk for getting breast or ovarian cancer, or find it at an early stage. |
| Word | 0.231724 |
| questions | 0.231708 |
| accuracy | 0.231815 |
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| type | 0.231734 |
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| relatives | 0.236004 |
| steps | 0.315945 |
| breasts | 0.237176 |
| certain patterns | 0.361897 |
| specific gene mutation | 0.451998 |
| women | 0.231194 |
| benefits | 0.229781 |
| role | 0.229249 |
| ovarian cancers | 0.50268 |
| changes | 0.22888 |
| privacy | 0.22962 |
| emotional risks | 0.352333 |
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| family medical history | 0.664451 |
| positive test result | 0.456321 |
| good listener | 0.368906 |
| overall risk | 0.341246 |
| genetic test results | 0.915184 |
| higher risk | 0.341441 |
| Specific tests | 0.355121 |
| gene mutation | 0.476935 |
| saliva sample | 0.357127 |
| breast cancer | 0.385527 |
| health | 0.234827 |
| cancer histories | 0.37803 |
| Talk | 0.254174 |
| families | 0.233372 |
| way | 0.232246 |
| doctor | 0.278288 |
| Genetic counseling | 0.457795 |
| genetic testing | 0.458536 |
| family history | 0.417752 |
| cancer risk | 0.374957 |
| risk | 0.441956 |
| information | 0.230277 |
| breast | 0.43902 |
| Share | 0.23346 |
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