| 1152 |
Centers for Disease Control and Prevention |
Html |
en |
Fact Sheet - Health Effects of Cigarette Smoking |
Health Effects Fact Sheets. |
| Apr | 0.473793 |
| Mortality Weekly Report | 0.504979 |
| American Medical Association | 0.504606 |
| Human Services | 0.722475 |
| damages blood vessels | 0.51774 |
| cancer deaths | 0.47525 |
| U.S. Department | 0.759108 |
| lung cancer | 0.647084 |
| Health Promotion | 0.558782 |
| Disease Control | 0.589571 |
| age-related macular degeneration | 0.513935 |
| blood flow | 0.466291 |
| soft palate | 0.460733 |
| National Center | 0.560446 |
| blood pressure | 0.466614 |
| tobacco smoke | 0.51729 |
| overall health | 0.535204 |
| Causes—National Vital Statistics | 0.503614 |
| cancer patients | 0.470774 |
| tooth loss | 0.461388 |
| attack worse.1,2 | 0.462854 |
| smoking cuts | 0.595371 |
| Human Services.The Health | 0.537165 |
| Actual Causes | 0.46466 |
| obstructive pulmonary disease | 0.541096 |
|
| health care utilization | 0.547308 |
| heart beat | 0.464194 |
| United States | 0.696063 |
| Health Consequences | 0.524958 |
| cigarette smoking | 0.856315 |
| United States.1,3 | 0.469778 |
| acute myeloid leukemia | 0.517385 |
| smoking | 0.907718 |
| central vision | 0.461624 |
| general adverse effects | 0.51196 |
| Smoke Causes Disease | 0.522541 |
| Lung diseases | 0.479675 |
| health | 0.638017 |
| breast cancer | 0.47671 |
| birth defects | 0.46098 |
| active smokers | 0.460503 |
| chronic bronchitis.1,2 | 0.468415 |
| Chronic Disease Prevention | 0.676426 |
| Surgeon General | 0.607422 |
| Cigarette smoking increases | 0.700679 |
| Public Health Service | 0.600208 |
| lung cancer.1,2 | 0.48073 |
| coronary heart disease | 0.532667 |
| risk | 0.512811 |
|
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| 4714 |
Centers for Disease Control and Prevention |
Html |
en |
CDC - Chagas Disease - Disease |
Education and information about Chagas Disease. |
| asymptomatic form | 0.561109 |
| infection | 0.626385 |
| bite wound | 0.531053 |
| eyelid | 0.352037 |
| Chagas disease | 0.976177 |
| skin | 0.33519 |
| chronic phase | 0.506151 |
| acute chagas disease | 0.924031 |
| inoculation | 0.35555 |
| occurrence | 0.335095 |
| Photo courtesy | 0.510679 |
| Chagas-related symptoms | 0.480507 |
| chemotherapy | 0.341376 |
| life-threatening medical problems | 0.625655 |
| Romaña | 0.340875 |
| infected people | 0.607599 |
| immune systems | 0.487666 |
| severe inflammation | 0.506068 |
|
| mucous membrane | 0.515843 |
| heart muscle | 0.490537 |
| bug feces | 0.540938 |
| chronic indeterminate | 0.504495 |
| AIDS | 0.333657 |
| swelling | 0.518199 |
| brain | 0.362417 |
| blood | 0.401152 |
| eye | 0.340101 |
| site | 0.335333 |
| acute infection | 0.602197 |
| acute phase | 0.543454 |
| marker | 0.346955 |
| severe disease | 0.482379 |
| parasites | 0.449061 |
| WHO/TDR | 0.364154 |
| time | 0.334624 |
|
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| 6230 |
Centers for Disease Control and Prevention |
Html |
en |
CDC national survey finds early childhood immunization rates increasing - Press Release: September 1, 2011 |
Latest State Data Show Rates of Obesity Remain High |
| CDC’s National | 0.436849 |
| pneumococcal disease | 0.418487 |
| recent increases | 0.410414 |
| long-standing recommended vaccines | 0.72219 |
| vaccine-preventable diseases. | 0.55246 |
| safest ways | 0.450612 |
| substantial disparities | 0.429811 |
| children | 0.563742 |
| ethnic groups | 0.40503 |
| young children | 0.45546 |
| rubella | 0.25136 |
| health care providers | 0.592559 |
| racial/ethnic groups | 0.406204 |
| National Immunization Survey | 0.950745 |
| recent outbreaks | 0.419551 |
| community groups | 0.412586 |
| vaccine requirements | 0.415997 |
| immunization rates | 0.751175 |
| Anne Schuchat | 0.424655 |
| Complete results | 0.407884 |
| HUMAN SERVICES | 0.404511 |
| mumps | 0.247498 |
| parents | 0.315901 |
| high levels | 0.453425 |
|
| severe harm | 0.440661 |
| percent | 0.378268 |
| vaccination coverage rates | 0.619637 |
| vaccination levels | 0.422285 |
| state programs | 0.415594 |
| national survey | 0.405093 |
| exemptions | 0.250929 |
| white children | 0.425247 |
| health services | 0.404419 |
| U.S. DEPARTMENT | 0.409412 |
| Disease Control | 0.450914 |
| Dr. Schuchat | 0.412056 |
| Hib | 0.26138 |
| households | 0.246873 |
| hepatitis | 0.247847 |
| Respiratory Diseases | 0.440495 |
| whooping cough | 0.44036 |
| vaccine coverage | 0.432913 |
| rotavirus | 0.255435 |
| report | 0.33152 |
| minority children | 0.426827 |
| NIS | 0.249392 |
| Haemophilus influenza type | 0.635868 |
| vaccine-preventable diseases | 0.915241 |
|
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| 6866 |
Centers for Disease Control and Prevention |
Html |
en |
Playground Injuries: Fact Sheet |
null |
| Government Printing Office | 0.40155 |
| 14 and younger cost | 0.459696 |
| Injury Prevention | 0.270845 |
| daycare centers | 0.292968 |
| Low–Income Areas | 0.2699 |
| United States | 0.458192 |
| Technology Assessment | 0.439976 |
| Avner JR | 0.280573 |
| age group | 0.27827 |
| emergency department visits | 0.422221 |
| loose fill playground | 0.340047 |
| children ages | 0.620359 |
| home playgrounds | 0.61829 |
| high-income areas | 0.295521 |
| Tinsworth | 0.350216 |
| impact attenuation | 0.277111 |
| New York City | 0.704409 |
| rusty play equipment | 0.415149 |
| maintenance-related hazards | 0.294344 |
| Suecoff SA | 0.259118 |
| City Playground Hazards | 0.479642 |
| Phelan KJ | 0.325214 |
|
| Lanphear BP | 0.265749 |
| playground surface | 0.366204 |
| playground equipment | 0.388673 |
| playground injuries | 0.664272 |
| Kalkwarf HJ | 0.272288 |
| Sacks JJ | 0.27656 |
| Thompson D. Testing | 0.405004 |
| emergency departments | 0.295067 |
| Adolescent Medicine | 0.265037 |
| internal injuries | 0.540151 |
| U.S. Congress | 0.258048 |
| significantly more trash | 0.274906 |
| playground-related injuries | 0.987782 |
| United States children | 0.404687 |
| Mack MG | 0.269969 |
| low-income areas | 0.437627 |
| nonfatal injuries | 0.555956 |
| public playgrounds | 0.644758 |
| Ambulatory Pediatrics | 0.280269 |
| higher rates | 0.273369 |
| Chou KJ | 0.301563 |
|
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| 6975 |
Centers for Disease Control and Prevention |
Html |
en |
Global Health - Dominican Republic |
The Centers for Disease Control and Prevention (CDC) in the Dominican Republic has four disease impact goals: 1) eliminate transmission of HIV from pregnant mothers to babies, 2) prevent new cases of adult HIV among high-risk populations, 3) reduce the prevalence of tuberculosis, and 4) reduce the impact of infectious disease outbreaks. |
| endorsement | 0.248475 |
| CDC | 0.235181 |
| disease impact goals | 0.969429 |
| HIV- related goals | 0.816896 |
| U.S President | 0.401379 |
| CDC/DR | 0.347039 |
| Local partners | 0.394874 |
| increase detection | 0.409019 |
| AIDS Relief | 0.401804 |
| Disease Control | 0.628077 |
| female sex workers | 0.638709 |
| infectious disease outbreaks | 0.658421 |
| Emergency Plan | 0.407018 |
| rapid HIV testing | 0.775563 |
| uptake | 0.253363 |
| tuberculosis | 0.2484 |
| implements HIV | 0.650531 |
| los Santos | 0.39966 |
| difficult-to-reach populations | 0.524114 |
| laboratory systems | 0.412107 |
| provision | 0.235672 |
| public health facilities | 0.572926 |
| Mao | 0.244507 |
| HIV clinical cascade | 0.803863 |
| new cases | 0.441762 |
|
| Centers | 0.273819 |
| access | 0.256976 |
| condoms | 0.247025 |
| MoH | 0.263717 |
| nongovernmental partners | 0.431249 |
| Source | 0.238774 |
| key populations | 0.563557 |
| Juan J. | 0.390964 |
| prevalence | 0.249623 |
| epidemiology | 0.237239 |
| HHS | 0.25248 |
| health services | 0.411923 |
| Valverde | 0.261906 |
| HIV transmission | 0.628702 |
| retention | 0.235689 |
| MSM | 0.26077 |
| priority populations | 0.769741 |
| TB prevention strategies | 0.627795 |
| surveillance initiatives | 0.406578 |
| non-federal site | 0.421529 |
| migrants | 0.260536 |
| Dominican Republic | 0.659385 |
| mortality | 0.240382 |
| evidence-based interventions | 0.409815 |
|
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| 9498 |
Centers for Disease Control and Prevention |
Html |
en |
Multistate Outbreak of Listeriosis Associated with Jensen Farms Cantaloupe --- United States, August--September 2011 |
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. |
| Outbreak Response | 0.681111 |
| Public Health | 0.701204 |
| outbreak strains | 0.971602 |
| listeriosis outbreak | 0.84318 |
| U.S. listeriosis outbreaks | 0.767817 |
| original MMWR paper | 0.639921 |
| U.S. Government Printing | 0.634939 |
| Human Services | 0.633273 |
| outbreak PFGE pattern | 0.781596 |
| specimen collection dates | 0.639609 |
| widely differing PFGE | 0.636003 |
| Jensen Farms | 0.787111 |
| MMWR HTML versions | 0.641038 |
| U.S. Department | 0.63357 |
| Tri-County Health Department | 0.647413 |
| MMWR Early Release | 0.669871 |
| PFGE pattern combination | 0.657276 |
| Barbara E. Mahon | 0.628263 |
| pregnant women | 0.649644 |
| foodborne bacterial disease | 0.644775 |
| electronic PDF version | 0.628624 |
| immune systems | 0.648035 |
| sporadic listeriosis | 0.712506 |
|
| Zoonotic Infectious Diseases | 0.624061 |
| cut cantaloupe samples | 0.768726 |
| Listeria Initiative data | 0.652371 |
| local health departments | 0.634912 |
| long incubation period | 0.631336 |
| Kelly A. Jackson | 0.720744 |
| County Public Health | 0.646552 |
| cases | 0.621627 |
| U.S. foodborne outbreak | 0.763761 |
| website (http://www.cdc.gov/mmwr). | 0.670609 |
| PFGE pattern combinations | 0.775249 |
| cantaloupe consumption | 0.720917 |
| Listeria monocytogenes | 0.634007 |
| Katherine A. O'Connor | 0.626767 |
| CORE) Network. | 0.628391 |
| impaired immune systems | 0.642425 |
| L. monocytogenes | 0.757358 |
| Listeria Initiative* questionnaire | 0.655678 |
| national molecular subtyping | 0.642412 |
| original paper copy | 0.622687 |
| older adults | 0.643319 |
| Invasive listeriosis | 0.715085 |
| pulsed-field gel electrophoresis | 0.637864 |
|
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| 10756 |
Centers for Disease Control and Prevention |
Html |
en |
PRAMS and Smoking - Pregnancy Risk Assessment Monitoring System - Reproductive Health |
PRAMS and Smoking |
| 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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| 11104 |
Centers for Disease Control and Prevention |
Html |
en |
2008 National Report on Biochemical Indicators of Diet and Nutrition - Isoflavones & Lignans |
null |
| expert panel report | 0.534285 |
| Clin Nutr. | 0.49409 |
| human exposure | 0.535919 |
| endogenous estrogens | 0.492293 |
| main soy isoflavones | 0.782469 |
| serum equol concentrations | 0.553192 |
| different soy foods | 0.560361 |
| health outcomes | 0.52619 |
| Urinary phytoestrogen concentrations | 0.523194 |
| soy flour | 0.541838 |
| Setchell KD | 0.694072 |
| soy-based formula | 0.538316 |
| soy-based infant formula | 0.501248 |
| soy protein | 0.631906 |
| NTP-CERHR expert panel | 0.529846 |
| estrogenic activity | 0.555942 |
| commercial soy isoflavone | 0.555209 |
| phytoestrogens | 0.593332 |
| I. Dietary phytoestrogens | 0.576802 |
| soy isoflavones | 0.940483 |
| Birth Defects Res. | 0.533041 |
| effects | 0.511324 |
| Brown NM | 0.499038 |
| soy isoflavone conjugation | 0.563655 |
| Environ Health Perspect. | 0.493398 |
|
| adverse effects | 0.5038 |
| Setchell KDR | 0.620931 |
| low-density lipoprotein concentrations | 0.524171 |
| estrogenic effects | 0.501395 |
| soy-based infant formulas | 0.496089 |
| Cassidy A. Dietary | 0.495554 |
| soy protein preparations | 0.581522 |
| beneficial health outcomes | 0.49811 |
| Cancer Epidemiol Biomarkers | 0.544103 |
| urine concentrations | 0.530868 |
| soy-based foods | 0.519763 |
| soy formula | 0.583897 |
| lignan concentrations | 0.524644 |
| dietary supplements | 0.498407 |
| red clover dietary | 0.512238 |
| National Report | 0.491078 |
| soy products | 0.520435 |
| recent evidence report | 0.491559 |
| pure isoflavones | 0.594064 |
| higher isoflavone intake | 0.495397 |
| Cassidy A. Bioavailability | 0.491687 |
| intestinal bacteria | 0.574259 |
| et al | 0.80264 |
| dietary phytoestrogen intake | 0.508052 |
|
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| 11325 |
Centers for Disease Control and Prevention |
Html |
en |
Education and Community Support for Health Literacy |
This page provides resources for educational and community health literacy activities. |
| income | 0.338792 |
| different sectors | 0.506571 |
| Health literacy improvement | 0.739994 |
| cooperate | 0.35764 |
| health literacy skills | 0.979335 |
| health information | 0.487883 |
| matter | 0.338859 |
| navigation Skip | 0.694718 |
| school | 0.334476 |
| critical role | 0.504174 |
| health services | 0.47235 |
| social services | 0.470841 |
| action | 0.335941 |
|
| local health | 0.481904 |
| social support | 0.48139 |
| profession | 0.338154 |
| list Skip | 0.693032 |
| Community resources | 0.472935 |
| page options Skip | 0.868683 |
| health literate communities | 0.662491 |
| person | 0.336103 |
| Building health literacy | 0.685454 |
| organizations | 0.370469 |
| community play | 0.494432 |
| healthier lives | 0.500812 |
|
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| 14291 |
Centers for Disease Control and Prevention |
Html |
en |
Notes from the Field | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| new transmission chains | 0.34054 |
| National Ebola Coordination | 0.757977 |
| prevention control precautions | 0.349564 |
| RDT-Ebola implementation | 0.427249 |
| large-scale RDT-Ebola implementation | 0.402323 |
| Ebola share | 0.568439 |
| sample collection procedures | 0.354487 |
| Global HIV | 0.335149 |
| Ebola Coordination Cell | 0.759324 |
| electronic PDF version | 0.340179 |
| Zoonotic Infectious Diseases | 0.336327 |
| L. Kerouane Camara | 0.34214 |
| undetected Ebola cases | 0.617306 |
| 5South Dakota Department | 0.343543 |
| World Health Organization | 0.629026 |
| Global Health | 0.565378 |
| RDT-Ebola test kits | 0.400083 |
| febrile illness | 0.370285 |
| supply chain management | 0.342376 |
| rdt-malaria tests | 0.415719 |
| Ebola | 0.9265 |
| Ebola virus disease | 0.676425 |
| Sierra Leone border | 0.339438 |
| original MMWR paper | 0.345264 |
|
| rapid diagnostic testing | 0.50397 |
| malaria | 0.502427 |
| Ebola cases | 0.711556 |
| malaria prevalence | 0.401969 |
| Forécariah Ebola Response | 0.611334 |
| CDC RDT-Ebola testing | 0.452595 |
| Jennifer Y. Huang | 0.334676 |
| Ongoing data collection | 0.337306 |
| Ebola Rapid Antigen | 0.62935 |
| Health Organization Field | 0.389434 |
| RDT-Ebola tests | 0.459195 |
| Ebola tests | 0.550245 |
| health care | 0.397471 |
| Global Health Protection | 0.544335 |
| health care worker | 0.392052 |
| new Ebola cases | 0.652794 |
| National Malaria Programme | 0.474312 |
| positive malaria tests | 0.468182 |
| Ebola treatment centers | 0.625446 |
| malaria RDTs | 0.392686 |
| 7Global Outbreak Alert | 0.33613 |
| RDT-Ebola testing protocol | 0.526869 |
| CDC-Guinea RDT-Ebola testing | 0.41607 |
| sentinel sites | 0.68323 |
|
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