| 5006 |
Centers for Disease Control and Prevention |
Html |
en |
CDC Addresses Stroke |
null |
| acute stroke care | 0.846988 |
| health insurance | 0.482439 |
| community interventions | 0.445575 |
| campaign shares stories | 0.569774 |
| control programs | 0.461091 |
| U.S. Department | 0.459396 |
| health disparities | 0.49578 |
| stroke objectives | 0.635281 |
| stroke care guidelines | 0.816604 |
| significant preventable threats | 0.569975 |
| health care professionals | 0.62998 |
| National Heart | 0.475322 |
| recurrent strokes | 0.479065 |
| long-term health effects | 0.596172 |
| Blood Institute | 0.44774 |
| WISEWOMAN projects | 0.516799 |
| real people | 0.455229 |
| Stroke Program | 0.707367 |
| highest-quality stroke care | 0.812113 |
| national goals | 0.457684 |
| heart attacks | 0.476632 |
| long-term goal | 0.461028 |
| various settings | 0.448876 |
| environmental strategies | 0.454212 |
|
| Tipsâ„¢ campaign | 0.445813 |
| tribal entities | 0.445328 |
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| Medicaid Services | 0.459243 |
| untimely deaths | 0.472799 |
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| disease prevention | 0.468939 |
| heart disease | 0.921806 |
| lower their risk | 0.44548 |
| CDC funds | 0.724537 |
| health departments | 0.48173 |
| stroke care | 0.906515 |
| Healthy People | 0.659279 |
| New York | 0.476287 |
| federal partners | 0.447467 |
| Stroke Prevention | 0.654167 |
| chronic diseases | 0.445212 |
| Paul Coverdell | 0.496477 |
| systems changes | 0.454057 |
| Services. Million Hearts® | 0.630078 |
| stroke | 0.918636 |
| consumer information | 0.445107 |
| national initiative | 0.467013 |
| physical activity | 0.449571 |
|
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| 6092 |
Centers for Disease Control and Prevention |
Html |
en |
Past Flu Seasons: 2007-2008 Flu Season |
Information about influenza activity during the 2007-2008 flu season - CDC |
| influenza | 0.782558 |
| 2007-2008 U.S. flu | 0.509732 |
| flu outbreaks | 0.37138 |
| *Widespread flu activity | 0.359666 |
| influenza infection | 0.303231 |
| B/Yamagata viruses | 0.24417 |
| United States | 0.41697 |
| influenza antiviral drugs | 0.317369 |
| 2007-2008 flu season | 0.468343 |
| flu activity | 0.593702 |
| U.S. influenza surveillance | 0.369798 |
| flu complications | 0.344851 |
| widespread* flu activity | 0.360111 |
| recent flu viruses | 0.406089 |
| influenza vaccine strains | 0.404477 |
| vaccine viruses | 0.281429 |
| nasal-spray flu vaccine | 0.366439 |
| influenza B viruses | 0.405887 |
| flu virus samples | 0.357332 |
| CDC Influenza Division | 0.35836 |
| pediatric influenza deaths | 0.36961 |
| seasonal influenza vaccine | 0.393432 |
| influenza illness | 0.331866 |
| recent laboratory evidence | 0.243091 |
|
| U.S. flu season | 0.561579 |
| public health | 0.252514 |
| influenza vaccine | 0.546576 |
| overall influenza activity | 0.349238 |
| Seasonal Flu | 0.284866 |
| vaccine virus selection | 0.244447 |
| flu deaths | 0.337329 |
| sub-typed* influenza | 0.311461 |
| flu viruses | 0.528329 |
| influenza vaccination | 0.297935 |
| regional flu activity | 0.413688 |
| U.S. influenza seasons | 0.330087 |
| Flu A viruses | 0.403398 |
| flu shot | 0.29848 |
| different influenza seasons | 0.344937 |
| influenza viruses | 0.389497 |
| influenza B virus | 0.325355 |
| influenza virus | 0.353555 |
| flu season | 0.942819 |
| Attenuated Influenza Vaccine | 0.367972 |
| influenza antivirals | 0.292754 |
| predominant circulating viruses | 0.266679 |
| influenza a viruses | 0.448145 |
|
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| 6093 |
Centers for Disease Control and Prevention |
Html |
en |
1,3,5-Trimethylbenzene - 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 |
|
CLICK HERE |
| 7921 |
Centers for Disease Control and Prevention |
Html |
en |
Evaluation of Meningitis Surveillance Before Introduction ofSerogroup A Meningococcal Conjugate Vaccine - Burkina Faso andMali |
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. |
| Haemophilus influenzae type | 0.502007 |
| standardized surveillance database | 0.511766 |
| epidemic meningitis | 0.530792 |
| real-time PCR | 0.522483 |
| enhanced meningitis surveillance | 0.593801 |
| meningitis surveillance | 0.802864 |
| Mali | 0.597411 |
| causative pathogen confirmation | 0.49346 |
| national reference laboratory | 0.675487 |
| national surveillance office | 0.57276 |
| World Health Organization | 0.540729 |
| laboratory capacity | 0.509224 |
| Inter-Country Support Team | 0.500252 |
| high-quality surveillance data | 0.527202 |
| pneumoniae cause meningitis | 0.53147 |
| baseline surveillance evaluations | 0.505866 |
| field effectiveness trials | 0.495935 |
| CSF macroscopic examination | 0.511913 |
| CSF specimens | 0.529012 |
| laboratory confirmation | 0.565205 |
| African meningitis belt | 0.50695 |
| surveillance officers | 0.490616 |
| data management | 0.516331 |
| surveillance databases | 0.498686 |
| surveillance infrastructures | 0.504193 |
|
| meningitis epidemics | 0.503556 |
| data management tools | 0.49777 |
| meningitis disease | 0.492752 |
| case-based surveillance | 0.722886 |
| meningococcal conjugate vaccine | 0.632524 |
| line-listed cases | 0.545454 |
| bacterial meningitis mortality | 0.516908 |
| Strong meningitis surveillance | 0.607872 |
| bacterial meningitis | 0.655116 |
| Surveillance needs | 0.491077 |
| meningitis surveillance data | 0.634999 |
| preliminary surveillance data | 0.527189 |
| reference laboratories | 0.527266 |
| case-level data | 0.609743 |
| white blood cell | 0.499159 |
| Burkina Faso capital | 0.551053 |
| Strong case-based surveillance | 0.521557 |
| meningitis cases | 0.536545 |
| level surveillance epidemiologists | 0.513774 |
| conventional PCR | 0.500224 |
| Burkina Faso | 0.931922 |
| meningitis belt | 0.627632 |
| laboratory data | 0.503646 |
| Africa Inter-Country Support | 0.500458 |
|
CLICK HERE |
| 9500 |
Centers for Disease Control and Prevention |
Html |
en |
Paralytic Shellfish Poisoning — Southeast Alaska, May–June 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. |
| shellfish consumption | 0.379356 |
| PSP cases | 0.681048 |
| Commercially harvested shellfish | 0.619224 |
| PSP toxin | 0.43576 |
| Public Health Center | 0.432041 |
| Health Center staff | 0.331157 |
| probable PSP cases | 0.616882 |
| public health recommendation | 0.349089 |
| SOE requests | 0.34969 |
| Annette Island Service | 0.429717 |
| Metlakatla | 0.494496 |
| noncommercially harvested shellfish | 0.865244 |
| active case finding | 0.553531 |
| Public health authorities | 0.340389 |
| Kimberly A. Porter | 0.394676 |
| Alaska Department | 0.383645 |
| intensive-care unit | 0.335616 |
| Metlakatla Dept | 0.334329 |
| PSP | 0.963226 |
| PSP develop | 0.427634 |
| Alaska Sea Grant | 0.342884 |
| additional case finding | 0.339447 |
| local health authorities | 0.330147 |
| PSP risks | 0.435155 |
|
| uneaten shellfish | 0.377762 |
| noncommercially harvested mussels | 0.447925 |
| community members | 0.332783 |
| important public health | 0.343624 |
| public health nurse | 0.361542 |
| paralytic shellfish poisoning | 0.568874 |
| affected area | 0.33142 |
| shellfish harvesting | 0.379401 |
| shellfish allergies | 0.392001 |
| Island Service Unit | 0.4298 |
| PSP saxitoxins | 0.468588 |
| Alaskan shellfish | 0.585518 |
| noncommercial shellfish | 0.381727 |
| untested Alaskan shellfish | 0.432713 |
| public health | 0.805298 |
| southeast Alaska | 0.523803 |
| Alaska Southeast | 0.347954 |
| community member | 0.329711 |
| Alaska Div | 0.349105 |
| additional probable cases | 0.377641 |
| PSP range | 0.468847 |
| Ketchikan Public Health | 0.471115 |
| public health responses | 0.340682 |
| PSP symptoms | 0.524229 |
|
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| 9937 |
Centers for Disease Control and Prevention |
Html |
en |
HHS Tribal Consultation - Tribal Support |
CDC/ATSDR Tribal Support is the primary link between CDC, the Agency for Toxic Substance and Disease Registry (ATSDR), and tribal governments. CDC/ATSDR’s tribal support activities focus on fulfilling CDC's supportive role in ensuring that American Indian/Alaska Native (AI/AN) communities receive public health services that keep them safe and healthy. |
| Regional Tribal Consultations | 0.642572 |
| Congress | 0.41755 |
| human services policy | 0.606602 |
| tribe’s priorities | 0.529989 |
| CDC | 0.426772 |
| various intradepartmental committees | 0.657584 |
| TCU | 0.433545 |
| Regional Tribal Consultation | 0.804828 |
| Indian tribes | 0.640269 |
| Native American Affairs | 0.620937 |
| HHS Regional Tribal | 0.842696 |
| HHS Annual Tribal | 0.953009 |
| HHS Tribal Consultation | 0.904361 |
| Universities | 0.418806 |
| tribal activities | 0.545911 |
| Cabinet-level reports | 0.525557 |
| members | 0.418911 |
| annual consultation session | 0.639828 |
| comments | 0.417643 |
|
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| Indian/Alaska Native health | 0.679425 |
| Consultation Sessions | 0.51823 |
| CDC/ATSDR | 0.419654 |
| human services | 0.712176 |
| opportunity | 0.434172 |
| White House | 0.519724 |
| services budget priorities | 0.688214 |
| HHS health | 0.739123 |
| Tribal Budget Consultations | 0.703443 |
| Intradepartmental Council | 0.520214 |
| ICNAA | 0.419072 |
| matters | 0.417474 |
| budgets | 0.42654 |
| plans | 0.419162 |
| regulations | 0.417583 |
| HHS budget | 0.803873 |
| Tribal Colleges | 0.543886 |
|
CLICK HERE |
| 12091 |
Centers for Disease Control and Prevention |
Html |
en |
Asthma - More Asthma Resources for Professionals |
More Asthma Resources for Professionals |
| adult Asthma Call-back | 0.465489 |
| asthma outcomes | 0.468904 |
| School-Based Asthma Program | 0.413797 |
| Asthma Morbidity | 0.473137 |
| Occupational Asthma Incidence | 0.463667 |
| Wisconsin asthma prevalence | 0.46058 |
| Risk Factor Surveillance | 0.433447 |
| asthma self-management education | 0.508882 |
| Asthma symptoms | 0.418073 |
| asthma severity | 0.421314 |
| Asthma Management | 0.447601 |
| Zahran HS | 0.413365 |
| asthma onset | 0.469699 |
| current asthma | 0.536177 |
| asthma control status | 0.491318 |
| asthma prevention | 0.459552 |
| Asthma Incidence | 0.467242 |
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| Asthma Attacks | 0.413243 |
| asthma | 0.939624 |
| asthma control | 0.605096 |
| Controlling Asthma | 0.457527 |
| School-Based Asthma Interventions. | 0.444855 |
| Mazurek JM | 0.53951 |
| subsequent asthma outcomes | 0.439955 |
|
| Current Asthma Prevalence | 0.416947 |
| Asthma Services | 0.42806 |
| State Asthma Program | 0.499045 |
| Behavioral Risk Factor | 0.435783 |
| Asthma Friendly Schools | 0.458173 |
| Active Asthma | 0.424054 |
| United States | 0.555058 |
| asthma onset. | 0.423023 |
| Asthma Call-back Survey—United | 0.432045 |
| asthma call-back survey. | 0.674747 |
| asthma history | 0.42307 |
| Asthma Care | 0.427559 |
| work-related asthma | 0.653907 |
| Moorman JE | 0.73139 |
| Asthma Among Employed | 0.452455 |
| asthma health education | 0.455231 |
| asthma prevalence | 0.760342 |
| Preventive Asthma Medication | 0.434256 |
| School-Based Asthma | 0.448781 |
| Surveillance System Asthma | 0.52205 |
| Childhood Asthma | 0.45869 |
| Allergy Asthma Immunol. | 0.461679 |
| asthma education | 0.462502 |
| Asthma Program Evaluation | 0.42968 |
|
CLICK HERE |
| 13382 |
Centers for Disease Control and Prevention |
Html |
en |
Coccidioidomycosis in a State Where It Is Not Known To BeEndemic - Missouri, 2004-2013 |
George Turabelidze, MD, PhD1; Ravi K. Aggu-Sher, MD1; Ehsan Jahanpour, MS1; C. Jon Hinkle1 (Author affiliations at end of text). |
| positive predictive value | 0.461735 |
| Ravi K. Aggu-Sher | 0.401357 |
| Poisson regression analysis | 0.387672 |
| Senior Services | 0.457142 |
| recent travel | 0.400727 |
| endemic area | 0.440758 |
| current diagnostic tests | 0.385862 |
| recent coccidioidomycosis | 0.536376 |
| positive coccidioidomycosis culture | 0.661896 |
| health care providers | 0.38336 |
| diagnostic tests | 0.487395 |
| coccidioidomycosis cases | 0.859562 |
| southwestern United States | 0.396762 |
| exact diagnostic tests | 0.381769 |
| commonly used drugs | 0.387992 |
| patients | 0.605819 |
| endemic disease | 0.58424 |
| Missouri Department | 0.402079 |
| health surveillance data | 0.382333 |
| enzyme immunoassay | 0.454382 |
| coccidioidomycosis diagnosis | 0.578407 |
| common diagnostic tests | 0.392759 |
| positive coccidioidomycosis cultures | 0.586058 |
| coccidioidomycosis | 0.978942 |
|
| truly endemic cases | 0.498407 |
| endemic areas | 0.460593 |
| Coccidioides spores | 0.395272 |
| George Turabelidze | 0.401788 |
| influenza-like illness | 0.403916 |
| used antifungal drug | 0.3931 |
| additional contributing factor | 0.380389 |
| Missouri | 0.424906 |
| serological tests | 0.4469 |
| acute coccidioidomycosis cases | 0.583013 |
| travel history | 0.476332 |
| polymerase chain reaction | 0.393047 |
| endemic coccidioidomycosis | 0.684724 |
| Notifiable Diseases Surveillance | 0.392818 |
| locally acquired cases | 0.394482 |
| coccidioidomycosis surveillance case | 0.573851 |
| positive culture | 0.391136 |
| coccidioidomycosis surveillance data | 0.714319 |
| complement fixation | 0.452023 |
| C. Jon Hinkle | 0.399968 |
| symptom onset date | 0.38781 |
| qualitative enzyme immunoassay | 0.386178 |
| travel | 0.542058 |
| incidence | 0.390399 |
|
CLICK HERE |
| 13932 |
Centers for Disease Control and Prevention |
Html |
en |
Descriptive Epidemiology of Objectively Measured Walking Among US Pregnant Women: National Health and Nutrition Examination Survey, 2005–2006 |
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. |
| study | 0.489851 |
| cadence bands | 0.503271 |
| purposeful steps | 0.485913 |
| accelerometer data | 0.560036 |
| low-intensity levels | 0.469389 |
| steps/min | 0.465254 |
| pregnant women | 0.934977 |
| peak cadence | 0.537227 |
| 1-minute peak cadence | 0.531295 |
| demographic variables | 0.465394 |
| higher intensity levels | 0.46399 |
| accelerometer data collection | 0.497381 |
| maternal health benefits | 0.466987 |
| accelerometer likely records | 0.503752 |
| Nutrition Examination Survey | 0.711514 |
| ActiGraph accelerometer | 0.539572 |
| accelerometer wear time | 0.803725 |
| total steps | 0.577397 |
| slow walking | 0.49127 |
| population-based accelerometer data | 0.513697 |
| cadence levels | 0.468926 |
| incidental steps | 0.486142 |
| primary physical activity | 0.474494 |
| pregnancy | 0.483258 |
|
| sporadic steps | 0.486207 |
| aerobic steps | 0.488653 |
| complex sampling design | 0.574636 |
| waist-worn ActiGraph accelerometer | 0.495221 |
| 1-min peak cadence | 0.472685 |
| steps | 0.578567 |
| standard error | 0.498681 |
| vigorous intensity levels | 0.466425 |
| physical activity | 0.624384 |
| National Health | 0.56932 |
| aerobic physical activity | 0.464167 |
| Texas Tech University | 0.510023 |
| low intensity levels | 0.471204 |
| regular physical activity | 0.474768 |
| higher intensity | 0.466067 |
| brisk walking | 0.493817 |
| mean step counts | 0.472432 |
| incremental cadence bands | 0.472419 |
| incremental walking intensity | 0.501788 |
| intensity levels | 0.535133 |
| valid accelerometer data | 0.506577 |
| cadence band | 0.477337 |
| step counts data | 0.46592 |
|
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| 15558 |
Centers for Disease Control and Prevention |
Html |
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Diabetes and Your Smile |
null |
| plaque | 0.342418 |
| bacteria | 0.38915 |
| line | 0.331545 |
| Spotlights | 0.337149 |
| kidney disease | 0.469129 |
| Twitter | 0.337742 |
| sticky film | 0.491156 |
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| smile | 0.337142 |
| defense | 0.33152 |
| KB | 0.380294 |
| Features | 0.330541 |
| CDC Diabetes | 0.612238 |
| Facebook | 0.33814 |
| tooth decay | 0.518648 |
| chance | 0.332864 |
| gum disease | 0.999298 |
|
| kind | 0.335452 |
| gum problems | 0.551153 |
| tooth loss | 0.511523 |
| people | 0.370876 |
| blood sugar rise | 0.645049 |
| sweet tooth—or | 0.498029 |
| dentist | 0.39055 |
| fertilizer | 0.340503 |
| food | 0.333737 |
| heart | 0.331971 |
| sugar level | 0.525876 |
| saliva | 0.350208 |
| Twice-yearly checkups | 0.498502 |
| Dental Health | 0.46275 |
| mouthful | 0.336468 |
| risk | 0.332718 |
| time | 0.332154 |
| CDCDiabetes | 0.331242 |
| blood sugar | 0.646753 |
| diabetes | 0.800011 |
|
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