| 4991 |
Centers for Disease Control and Prevention |
Html |
en |
Radiation Emergencies - Protecting Yourself and Your Family |
Information on terrorism and public health. Provided by the Centers for Disease Control and Prevention (CDC). |
| pets | 0.402189 |
| disaster situations | 0.907171 |
| local officials | 0.849797 |
| radiation emergency | 0.851651 |
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| specific actions | 0.888701 |
| ones | 0.469126 |
| people | 0.471712 |
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| 6269 |
Centers for Disease Control and Prevention |
Html |
en |
Information for Educators - 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. |
| Maternal Substance Abuse | 0.233973 |
| effective parenting techniques | 0.223648 |
| Science Ambassador Program | 0.227293 |
| child development | 0.328038 |
| Tribal Justice Systems | 0.222781 |
| Substance Abuse | 0.249018 |
| Provider Resource Kit | 0.372145 |
| Childcare Provider Resource | 0.3819 |
| middle school children | 0.459826 |
| related conditions | 0.244065 |
| K-12 FASD Education | 0.306535 |
| various child development | 0.2254 |
| fetal alcohol | 0.91109 |
|
| FASDs | 0.252508 |
| Fetal Alcohol Syndrome | 0.775828 |
| Double ARC | 0.342026 |
| separate training curricula | 0.222972 |
| Healthy Path curriculum | 0.233521 |
| high school students | 0.222905 |
| alcohol spectrum disorders | 0.715229 |
| FASD Toolbox | 0.208725 |
| Mental Health Services | 0.231535 |
| Alcohol Syndrome Awareness | 0.28583 |
| Child Development Center | 0.244887 |
| fetal alcohol spectrum | 0.764746 |
| future science teachers | 0.241539 |
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| 6379 |
Centers for Disease Control and Prevention |
Html |
en |
New Million Hearts tools announced by partners - Press Release: November 3, 2011 |
New Million Hearts tools announced by partners |
| quality improvement organizations | 0.471399 |
| heart attacks | 0.658837 |
| Heart Stroke Recognition | 0.484593 |
| hearts partnerships | 0.577086 |
| major risk factors | 0.473914 |
| Hearts initiative visit | 0.545299 |
| Blood pressure control | 0.47763 |
| health care disparities | 0.505662 |
| cardiovascular preventive care | 0.495595 |
| National Care Initiative | 0.49015 |
| American College | 0.529389 |
| ethnically diverse populations | 0.467025 |
| Million Hearts campaign | 0.643614 |
| Million Hearts effort | 0.647861 |
| heart disease | 0.489481 |
| pharmacy faculty members | 0.467715 |
| Million Hearts goals | 0.787429 |
| cardiovascular disease measures | 0.488157 |
| Hearts visit http://millionhearts.hhs.gov | 0.550824 |
| health care providers | 0.501817 |
| ACC CEO Jack | 0.489624 |
| additional community outreach | 0.470612 |
| American Heart Association | 0.644033 |
| health care | 0.551408 |
|
| health care systems | 0.519429 |
| public health organizations | 0.513845 |
| TheNational Consumers League | 0.469781 |
| cardiovascular disease | 0.490986 |
| Million Hearts initiative | 0.733832 |
| Private sector commitments | 0.476216 |
| Cardiovascular health care | 0.522736 |
| Black Cardiologistswill work | 0.474302 |
| Future Medication Adherence | 0.470504 |
| public health partners | 0.501278 |
| human services | 0.508044 |
| care delivery. AHA | 0.498753 |
| best evidence-based strategies | 0.473675 |
| cardiovascular diseases | 0.464708 |
| National Consumers League | 0.473878 |
| Million Hearts | 0.979629 |
| community health centers | 0.494078 |
| u.s. department | 0.509308 |
| Hearts Executive Director | 0.5657 |
| better align health | 0.492493 |
| trans fat consumption | 0.471653 |
| cardiac care team | 0.48285 |
| patient education activities | 0.46859 |
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| 6731 |
Centers for Disease Control and Prevention |
Html |
en |
Assessment of ESSENCE Performance for Influenza-Like Illness Surveillance After an Influenza Outbreak --- U.S. Air Force Academy, Colorado, 2009 |
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. |
| ESSENCE ILI cases | 0.529544 |
| ESSENCE ICD-9-CM code | 0.369034 |
| early outbreak detection | 0.222682 |
| H1N1 outbreak | 0.248058 |
| ESSENCE website | 0.376928 |
| ESSENCE ILI surveillance | 0.56763 |
| syndromic disease surveillance | 0.304034 |
| frequent Internet data | 0.210598 |
| ILI outbreaks | 0.304299 |
| ESSENCE case definition | 0.55268 |
| password-protected ESSENCE website | 0.348291 |
| data transmissions | 0.284662 |
| body temperature | 0.385121 |
| ILI PVP | 0.331817 |
| ESSENCE ICD-9-CM codes | 0.32211 |
| public health | 0.224739 |
| ILI surveillance weaknesses | 0.319401 |
| ESSENCE time delay | 0.321951 |
| ILI ICD-9-CM code | 0.311036 |
| medical record data | 0.238927 |
|
| laboratory-confirmed respiratory infections | 0.280107 |
| ESSENCE influenza-like illness | 0.373577 |
| ILI case-patient visits | 0.315084 |
| ESSENCE users | 0.293979 |
| actual ILI outbreaks | 0.298212 |
| Internet data transmissions | 0.213538 |
| ESSENCE ILI case | 0.781085 |
| ILI case definition | 0.51737 |
| ESSENCE alerts | 0.289016 |
| ESSENCE server | 0.459862 |
| data quality | 0.350389 |
| medical record | 0.523023 |
| ILI trend | 0.254418 |
| outbreak detection | 0.297323 |
| medical records | 0.211101 |
| ESSENCE ILI | 0.958722 |
| ESSENCE ILI sensitivity | 0.650102 |
| ESSENCE ILI website | 0.564599 |
| ILI outbreak | 0.391517 |
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| 7829 |
Centers for Disease Control and Prevention |
Html |
en |
Pregnancy Complications and Death - Health Communication |
Gateway to Health Communication and Social Marketing Practice - Pregnancy Complications and Death |
| pregnancy-related causes | 0.416842 |
| good care | 0.246012 |
| direct result | 0.311489 |
| excessive bleeding | 0.299796 |
| experience complications | 0.285131 |
| regular check-ups | 0.279801 |
| unintended pregnancies | 0.314378 |
| appropriate management | 0.257356 |
| unrelated condition | 0.323531 |
| socioeconomic background | 0.288077 |
| 36-year-old woman | 0.276973 |
| pregnancy complications | 0.32224 |
| major causes | 0.280218 |
| pulmonary embolism | 0.327532 |
| At-risk women | 0.296049 |
|
| African American women | 0.516563 |
| greater risk | 0.249106 |
| experiences headaches | 0.255429 |
| greatest risk | 0.264379 |
| blood pressure increases | 0.454244 |
| gains weight | 0.257496 |
| medical care | 0.507048 |
| prenatal care | 0.686625 |
| birth control | 0.470681 |
| health problems | 0.260374 |
| high blood pressure | 0.932539 |
| pregnancy-related deaths | 0.927048 |
| white women | 0.428892 |
| black women | 0.288828 |
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| 10795 |
Centers for Disease Control and Prevention |
Html |
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Preventing Chronic Disease | Developing Theoretically Based and Culturally Appropriate Interventions to Promote Hepatitis B Testing in 4 Asian American Populations, 2006"2011 - CDC |
Hepatitis B infection is 5 to 12 times more common among Asian Americans than in the general US population and is the leading cause of liver disease and liver cancer among Asians. The purpose of this article is to describe the step-by-step approach that we followed in community-based participatory research projects in 4 Asian American groups, conducted from 2006 through 2011 in California and Washington state to develop theoretically based and culturally appropriate interventions to promote hepatitis B testing. We provide examples to illustrate how intervention messages addressing identical theoretical constructs of the Health Behavior Framework were modified to be culturally appropriate for each community. |
| Taylor VM | 0.493171 |
| hepatitis B transmission | 0.487375 |
| hepatitis B virus | 0.594569 |
| hepatitis B booklets | 0.470776 |
| hepatitis B. | 0.549685 |
| self-reported hepatitis | 0.486605 |
| hepatitis b screening | 0.482212 |
| hepatitis b knowledge | 0.522956 |
| hepatitis B blood | 0.553091 |
| intervention development | 0.479528 |
| hepatitis B. Hmong | 0.536597 |
| Hepatitis B Information | 0.476853 |
| guide listing hepatitis | 0.490458 |
| Asian American groups | 0.503112 |
| hepatitis B vaccination | 0.492629 |
| liver disease | 0.498919 |
| hepatitis B infectioncMany | 0.467695 |
| cervical cancer screening | 0.471903 |
| hepatitis B testeThe | 0.466769 |
| community | 0.55447 |
| Asian American populations | 0.490079 |
| cervical cancer | 0.478708 |
| hepatitis B surface | 0.471775 |
| hepatitis B pamphlet | 0.473469 |
| hepatitis BaHepatitis | 0.468942 |
|
| health promotion interventions | 0.508288 |
| Chen MS Jr | 0.475603 |
| intervention | 0.638828 |
| intervention approach | 0.478394 |
| Hepatitis B Internet | 0.47206 |
| cancer screening | 0.521928 |
| print materials | 0.472168 |
| pilot testing | 0.471123 |
| hepatitis b infection | 0.661555 |
| intervention messages | 0.496608 |
| hepatitis B info-cards | 0.471967 |
| Introduction
Hepatitis | 0.512343 |
| health behavior | 0.770886 |
| community-based participatory research | 0.466221 |
| hepatitis B vaccinations | 0.474322 |
| hepatitis B vaccine | 0.468725 |
| hepatitis B infections | 0.487487 |
| hepatitis | 0.92811 |
| lay health workers | 0.692048 |
| chronic hepatitis | 0.594489 |
| hepatitis b testing | 0.920868 |
| et al | 0.681898 |
| high school diploma | 0.515437 |
| liver cancer | 0.607726 |
|
CLICK HERE |
| 12392 |
Centers for Disease Control and Prevention |
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Timeline for Influenza H5N1 Incident (1185W x 845H) |
null |
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CLICK HERE |
| 12398 |
Centers for Disease Control and Prevention |
Image |
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Measles Move Fast (616W x 1241H) |
null |
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CLICK HERE |
| 14375 |
Centers for Disease Control and Prevention |
Html |
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Hunger and Behavioral Risk Factors for NoncommunicableDiseases in School-Going Adolescents in Bolivia, 2012 |
Preventing Chronic Disease (PCD) is a peer-reviewed electronic journal established by the National Center for Chronic Disease Prevention and Health Promotion. PCD provides an open exchange of information and knowledge among researchers, practitioners, policy makers, and others who strive to improve the health of the public through chronic disease prevention. |
| significantly greater odds | 0.457993 |
| public health interventions | 0.455356 |
| United Nations | 0.489144 |
| vegetable consumption | 0.932331 |
| complex sample design | 0.455651 |
| SAS Institute Inc. | 0.452719 |
| nondaily fruit | 0.830884 |
| odds ratio | 0.480919 |
| daily sugar-sweetened soda | 0.585344 |
| Urban Public Health | 0.450668 |
| fully conditional specification | 0.451923 |
| lowest hunger prevalence | 0.601621 |
| global school-based student | 0.644886 |
| sugar-sweetened soda consumption | 0.740797 |
| overall survey response | 0.462516 |
| school-going adolescents | 0.489156 |
| greater odds | 0.466348 |
| behavioral risk factors | 0.778553 |
| risk factors | 0.823792 |
| World Health Organization | 0.597194 |
| body mass index | 0.459364 |
| response rate | 0.50305 |
| current tobacco users | 0.481115 |
| current alcohol | 0.513523 |
|
| various risk factors | 0.461705 |
| highest hunger prevalence | 0.59786 |
| hunger | 0.987769 |
| traditional behavioral risk | 0.483494 |
| school response rate | 0.455376 |
| household food insecurity | 0.930803 |
| communicable disease burden | 0.468721 |
| current tobacco | 0.889143 |
| hunger contributes | 0.532655 |
| adequate physical activity | 0.477893 |
| Bolivia | 0.580603 |
| nationally representative survey | 0.469468 |
| school-based student health | 0.644662 |
| public health | 0.455414 |
| multivariable logistic regression | 0.612557 |
| AOR | 0.54175 |
| Student Health Survey | 0.640592 |
| sample design | 0.472783 |
| hunger status | 0.542236 |
| growth reference data | 0.465214 |
| physical activity | 0.516516 |
| Health Organization child | 0.472352 |
| school meal programs | 0.545536 |
| poorer general health | 0.459541 |
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| 15821 |
Centers for Disease Control and Prevention |
Html |
en |
Diabetes | At A Glance Reports | Publications | Chronic Disease Prevention and Health Promotion |
The Centers for Disease Control and Prevention (CDC) is working to reverse the US diabetes epidemic by tracking disease trends, focusing
on prevention, identifying effective treatments, and improving medical care. |
| diabetes prevention | 0.798839 |
| health care spending | 0.605595 |
| CDC | 0.60108 |
| Diabetes complications | 0.734948 |
| national prediabetes awareness | 0.585163 |
| type | 0.638979 |
| large city health | 0.585376 |
| lower blood sugar | 0.587137 |
| National Diabetes Prevention | 0.753853 |
| health care team | 0.600261 |
| diabetes goals | 0.697887 |
| diabetes registries | 0.694792 |
| ease health disparities | 0.588274 |
| health care providers | 0.592317 |
| risk factors | 0.617562 |
| following risk factors | 0.589963 |
| blood vessels | 0.58258 |
| blood sugar levels | 0.732597 |
| diabetes accounts | 0.737639 |
| High blood sugar | 0.662751 |
| pregnancy-induced high blood | 0.591781 |
| diabetes education | 0.708984 |
| Diabetes Surveillance | 0.696544 |
| diabetes prevention programs | 0.736097 |
| care system interventions | 0.578488 |
|
| chronic kidney disease | 0.651519 |
| diabetes risk behaviors | 0.743996 |
| public health policy | 0.589205 |
| United States | 0.588662 |
| partners—state health departments | 0.587634 |
| kidney failure | 0.622762 |
| National DPP | 0.612707 |
| gestational diabetes | 0.781861 |
| heart disease | 0.658948 |
| health departments | 0.61586 |
| local health departments | 0.584405 |
| health care | 0.752884 |
| health care systems | 0.593033 |
| higher risk | 0.586294 |
| diabetes incidence | 0.693553 |
| Kidney Disease Surveillance | 0.589961 |
| prediabetes | 0.58566 |
| diagnosed diabetes | 0.7251 |
| people | 0.651054 |
| Chronic Disease Prevention | 0.590944 |
| better health management | 0.58735 |
| American Diabetes Association | 0.730687 |
| blood sugar | 0.808374 |
| diabetes | 0.939877 |
|
CLICK HERE |