| 5103 |
Centers for Disease Control and Prevention |
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Science Clips - Monday, January 18, 2010 |
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| polio vaccine type | 0.710932 |
| Green RF | 0.706971 |
| Jones JF | 0.682871 |
| iron-alloy cooking pots | 0.697047 |
| live attenuated influenza | 0.710224 |
| risk factor control | 0.708353 |
| Matern Child Health | 0.725515 |
| CDC Knowledge | 0.761433 |
| Action Science Clips | 0.997623 |
| pregnancy cohort study | 0.70003 |
| H5N1 cold-adapted vaccine | 0.711724 |
| Television viewing time | 0.689952 |
| health care environment | 0.728074 |
| Chief Science Officer | 0.721468 |
| high body mass | 0.711561 |
| rapid diagnostic test | 0.696762 |
| gestational diabetes mellitus | 0.712083 |
| Khoury MJ | 0.720697 |
| Yoon PW | 0.723683 |
| public health practice | 0.737841 |
| public domain | 0.674025 |
| Stephen B. Thacker | 0.821275 |
| Flegal KM | 0.720265 |
| adolescent mental health | 0.715732 |
| AIDS Patient Care | 0.711639 |
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| multi-basic cleavage site | 0.704301 |
| Annu Rev Public | 0.713493 |
| Curtin LR | 0.716415 |
| maternal smoking status | 0.693777 |
| health promotion | 0.679014 |
| disease endemic area | 0.703953 |
| Ogden CL | 0.710133 |
| family practice setting | 0.716559 |
| health care institutions | 0.722336 |
| pilot birth-dose project | 0.703014 |
| Woodruff BA | 0.698236 |
| aerosolized Triviraten vaccine | 0.708219 |
| Carroll MD | 0.706757 |
| Chan JF | 0.718884 |
| public health literature | 0.725085 |
| B. Thacker CDC | 0.86348 |
| van Dam RM | 0.699068 |
| Mol Cell Probes. | 0.705798 |
| latent variable approach | 0.695587 |
| Jan | 0.780575 |
| family history | 0.710616 |
| reproductive health needs | 0.729113 |
| Cheng VC | 0.707152 |
| Yuen KY | 0.701562 |
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Centers for Disease Control and Prevention |
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Tetrachloroethylene - NIOSH Pocket Guide to Chemical Hazards |
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| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
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| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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| 7171 |
Centers for Disease Control and Prevention |
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Fighting Wildfires - NIOSH Workplace Safety and Health Topic |
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| burnovers/entrapments | 0.336707 |
| CDC | 0.339222 |
| Firefighter Fighter Fatalities | 0.754049 |
| Date Accessed | 0.577396 |
| responders | 0.349626 |
| Epidemiology | 0.337124 |
| navigation Skip | 0.716974 |
| fighters | 0.400014 |
| vehicle-related injuries | 0.618285 |
| heat-related illnesses | 0.575506 |
| National | 0.357993 |
| homes | 0.34 |
| on-duty WFF fatalities | 0.815288 |
| hundreds | 0.335515 |
| deaths | 0.34115 |
| list Skip | 0.722764 |
| Safety Gram | 0.519694 |
| NIOSH | 0.426962 |
| lives | 0.340053 |
| rhabdomyolsis | 0.335717 |
| Emerg Med. | 0.505719 |
| page options Skip | 0.933552 |
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| fires | 0.348672 |
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| slips | 0.349376 |
| Nov | 0.337922 |
| Britton | 0.347009 |
| Common hazards | 0.549084 |
| et al. | 0.504413 |
| partner organizations | 0.513681 |
| United States | 0.549305 |
| clean-up activities | 0.526975 |
| Protection Association | 0.501107 |
| line | 0.336756 |
| wildfires | 0.355911 |
| WFFs | 0.374387 |
| land | 0.340373 |
| intense physical exertion | 0.748221 |
| Feb | 0.338998 |
| aircraft | 0.336475 |
| on-duty injuries | 0.574707 |
| resources | 0.368507 |
| forests | 0.342808 |
| exposures | 0.348023 |
| inhalation | 0.355897 |
| Wildfire Coordinating Group | 0.696732 |
| 1Federal Emergency Management | 0.686885 |
| Risk Management Committee. | 0.67365 |
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| 9131 |
Centers for Disease Control and Prevention |
Html |
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Asthma - Using an Asthma Inhaler Videos |
Multimedia Asthma Messages |
| Current Asthma | 0.503987 |
| Microsoft Word file | 0.372325 |
| Health Care Coverage | 0.385542 |
| Data Table 1-1 | 0.860524 |
| Uncontrolled Asthma | 0.464491 |
| Asthma-related Missed School | 0.372438 |
| America Breathing Easier | 0.41024 |
| Health care providers | 0.419149 |
| Data Collection Choices | 0.382602 |
| Asthma Call-back Survey | 0.497804 |
| page options Skip | 0.383325 |
| Asthma Action Plan | 0.632492 |
| asthma | 0.703888 |
| live healthier lives | 0.428567 |
| different file formats | 0.372138 |
| Asthma Data | 0.487133 |
| Apple Quicktime file | 0.37434 |
| Asthma Resources | 0.453207 |
| long-term control medication | 0.37163 |
| Management Asthma Action | 0.501137 |
| Control Asthma Brochures | 0.503648 |
| NCHS Asthma FastStats | 0.486172 |
| Asthma Severity | 0.485042 |
| AsthmaStats Asthma | 0.466031 |
| Inner City Asthma | 0.476697 |
|
| Adobe PDF file | 0.376767 |
| Recent Asthma State | 0.500066 |
| dose inhaler | 0.50775 |
| Asthma Inhaler Videos | 0.559942 |
| active asthma | 0.484415 |
| Mixed Age Groups | 0.467903 |
| Medical clinics/physicians | 0.454761 |
| hospital emergency departments | 0.416677 |
| Search Form Controls | 0.452885 |
| ASL Asthma Film | 0.512103 |
| Work-related Asthma | 0.459885 |
| Asthma Care Training | 0.482339 |
| Children | 0.371429 |
| health care | 0.427762 |
| Asthma Clinical Guidelines | 0.514985 |
| Table | 0.97339 |
| Publications Asthma Surveillance | 0.481391 |
| State Data Profiles | 0.387784 |
| Health Care Provider | 0.386163 |
| Search Controls | 0.383741 |
| usar un inhalador | 0.389551 |
| Cómo usar | 0.391045 |
| file formats | 0.373502 |
| NHIS Prevalence Data | 0.393992 |
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Centers for Disease Control and Prevention |
Html |
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Information for Pregnant Women 'Protecting Your Health During Disasters |
Information on preparing for public health emergencies from the Centers for Disease Control and Prevention (CDC). Get a kit, make a plan, and be informed. |
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| search | 0.263099 |
| PDF | 0.261307 |
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| DOC | 0.368812 |
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| different file formats | 0.938484 |
| page | 0.276773 |
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| 11292 |
Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Sexual Orientation and Sex Differences in Adult Chronic Conditions, Health Risk Factors, and Protective Health Practices, Oregon, 2005"2008 - CDC |
Research on lesbian, gay, and bisexual (LGB) individuals’ health and health practices has primarily consisted of convenience studies focused on HIV/AIDS, substance use, or mental illness. We examined health-related disparities among Oregon LGB men and women compared with heterosexual men and women using data from a population-based survey. |
| study | 0.544069 |
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| binge drinking | 0.567684 |
| heterosexual men | 0.949779 |
| lesbian women | 0.616673 |
| chronic disease risk | 0.495633 |
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| health risk factors | 0.646227 |
| LGB population | 0.53298 |
| heterosexual women | 0.784395 |
| current cigarette smokers | 0.576212 |
| LGB people | 0.56054 |
| LGB individuals | 0.710217 |
| Oregon Health Authority | 0.510346 |
| cardiovascular disease | 0.49545 |
| risk factors | 0.650132 |
|
| body mass index | 0.490601 |
| disease risk factors | 0.490143 |
| health | 0.860036 |
| LGB health outcomes | 0.54454 |
| bisexual men | 0.700325 |
| chronic conditions | 0.745157 |
| Public Health Division | 0.516715 |
| older LGB adults | 0.495135 |
| bisexual women | 0.773431 |
| significantly higher prevalence | 0.528369 |
| heterosexual counterparts | 0.508888 |
| protective health practices | 0.822807 |
| gay men | 0.742875 |
| physical health | 0.496026 |
| LGB groups | 0.501543 |
| Oregon LGB individuals | 0.533135 |
| coronary heart disease | 0.489886 |
| relationship status | 0.56216 |
| Oregon LGB men | 0.561497 |
| adult LGB population | 0.515184 |
| Behavioral Risk Factor | 0.500391 |
| Oregon Public Health | 0.518772 |
| women | 0.809932 |
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Centers for Disease Control and Prevention |
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Office on Smoking and Health - Smoking & Tobacco Use |
CDC's Office on Smoking and Health offers information related to smoking and tobacco use. |
| tobacco-related death | 0.511243 |
| Centers | 0.247009 |
| smoking-related disease | 0.506992 |
| United States | 0.773178 |
| CDC Foundation | 0.540828 |
| disability | 0.253309 |
| adults | 0.247519 |
| cause | 0.248357 |
| tobacco-related health disparities | 0.766072 |
| health officials | 0.455022 |
| youth | 0.301111 |
| Prevention | 0.246909 |
| world | 0.244341 |
| Melinda Gates Foundation | 0.677377 |
| Disease Control | 0.466402 |
| preventable disease | 0.534417 |
| Bloomberg Initiative | 0.473788 |
| strategic efforts | 0.464852 |
| tobacco users | 0.697547 |
| deaths | 0.254326 |
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| public’s health | 0.449345 |
| illness | 0.249026 |
| Reduce Tobacco | 0.682018 |
| cigarette | 0.264148 |
| agency | 0.245964 |
| chronic diseases | 0.472528 |
| harmful effects | 0.471685 |
| international leaders | 0.454043 |
| Americans | 0.247396 |
| decision makers | 0.460945 |
| medical care | 0.481623 |
| smoke-free environments | 0.491514 |
| different population groups | 0.685487 |
| tobacco epidemic | 0.698353 |
| forefront | 0.264321 |
| exposure | 0.250464 |
| partners | 0.29061 |
| tobacco control interventions | 0.929573 |
| global tobacco work | 0.889088 |
| programs | 0.245507 |
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| 12390 |
Centers for Disease Control and Prevention |
Image |
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School-based Programs for Preventing HIV & STDs among U.S. Youth (200W x 884H) |
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Centers for Disease Control and Prevention |
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Notes from the Field | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| symptomatic HAV infection | 0.72308 |
| A–vaccinated pediatric transplant | 0.56253 |
| unvaccinated nurses | 0.537332 |
| CDC | 0.532783 |
| Environmental Services | 0.571497 |
| Bend County Clinical | 0.557604 |
| Fort Bend County | 0.725767 |
| original MMWR paper | 0.556372 |
| 4Harris County Public | 0.558996 |
| Human Services | 0.549924 |
| State Health Services | 0.953541 |
| Clinical Health Services | 0.733982 |
| MMWR Morb Mortal | 0.556344 |
| U.S. Department | 0.544574 |
| 3Houston Health Department | 0.610052 |
| home health care | 0.779235 |
| Houston Health Department | 0.612433 |
| infectious etiology | 0.54128 |
| previously unvaccinated persons | 0.572913 |
| Healthcare Quality Promotion | 0.548352 |
| genetically identical sequences | 0.553946 |
| monovalent hepatitis | 0.535429 |
| standard precautions | 0.575243 |
|
| electronic PDF version | 0.549113 |
| unvaccinated agency nurses | 0.623639 |
| area vaccination coverage | 0.554159 |
| health care personnel | 0.826521 |
| local health departments | 0.628773 |
| potential incubation period | 0.564447 |
| County Clinical Health | 0.724242 |
| hepa vaccine | 0.817372 |
| County Public Health | 0.723665 |
| health care nurses | 0.675997 |
| Kolasa M. National | 0.547674 |
| Harris County health | 0.646806 |
| common source exposure | 0.592579 |
| Viral Hepatitis | 0.588171 |
| hepatitis A virus | 0.542054 |
| Texas Department | 0.664105 |
| high risk | 0.550794 |
| HAV infection | 0.812147 |
| HAV RNA detection | 0.711223 |
| health care agency | 0.667567 |
| potentially exposed patients | 0.625338 |
| potentially exposed home | 0.577879 |
| household contacts | 0.569029 |
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Centers for Disease Control and Prevention |
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Outbreak of Plague in a High Malaria Endemic Region - NyimbaDistrict, Zambia, March-May 2015 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| Field Epidemiology Training | 0.39678 |
| symptom onset | 0.47599 |
| Malaria parasitemia | 0.340732 |
| SD-Bioline Malaria Ag | 0.388469 |
| plague | 0.935929 |
| possible plague cases | 0.627433 |
| lymph node enlargement | 0.361361 |
| lymph node aspirates | 0.48437 |
| clinically compatible plague | 0.612058 |
| plague diagnosis | 0.435317 |
| active case finding | 0.397935 |
| plague case definition | 0.504848 |
| spectrum antibiotic treatment | 0.401845 |
| Malaria treatment guidelines | 0.40047 |
| antibiotic treatment | 0.404166 |
| median age | 0.374714 |
| Y. pestis | 0.742629 |
| Sporadic plague outbreaks | 0.542313 |
| Malaria positivity | 0.341688 |
| Zambia | 0.507717 |
| suspected plague patients | 0.632601 |
| blood specimens | 0.569834 |
| public health practice | 0.342426 |
| PCR-positive plague cases | 0.520028 |
| severe malaria | 0.479551 |
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| health center catchment | 0.416508 |
| swollen lymph nodes | 0.354172 |
| Zambia Ministry | 0.439869 |
| Epidemiology Training Program | 0.396771 |
| malaria | 0.523426 |
| severely ill patients | 0.344215 |
| Zambia School | 0.355256 |
| Nyimba District | 0.43142 |
| previous plague outbreaks | 0.475277 |
| plague transmission | 0.440192 |
| cervical lymph nodes | 0.354686 |
| plague patients | 0.733213 |
| plague cases | 0.703936 |
| polymerase chain reaction | 0.415381 |
| limited microbiologic capacity | 0.401994 |
| bubonic plague cases | 0.556124 |
| Y. pestis plasminogen | 0.362574 |
| malaria RDTs | 0.340408 |
| untreated plague range | 0.536859 |
| bacterial infection | 0.362977 |
| center catchment areas | 0.400301 |
| Yersinia pestis | 0.372562 |
| frontline health workers | 0.409607 |
| combat plague | 0.457206 |
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