| 1037 |
Centers for Disease Control and Prevention |
Html |
en |
CDC Grand Rounds: Global Tobacco Control |
This is another in a series of occasional MMWR reports titled CDC Grand Rounds. These reports are based on grand rounds presentations at CDC on high-profile issues in public health science, practice, and policy. Information about CDC Grand Rounds is available at http://www. |
| annual global consumption | 0.480515 |
| smokefree laws | 0.464367 |
| China National Tobacco | 0.588411 |
| Tobacco Industry | 0.577503 |
| Chaloupka FJ | 0.472181 |
| Global Tobacco Surveillance | 0.590934 |
| tobacco excise tax | 0.567695 |
| tobacco use costs | 0.541077 |
| tobacco | 0.916247 |
| Global Public Health | 0.479077 |
| comprehensive tobacco control | 0.58844 |
| World Health Organization | 0.563449 |
| average cigarette consumption | 0.47038 |
| tobacco use initiation | 0.546291 |
| countries | 0.518292 |
| excess health risks | 0.459423 |
| tobacco products | 0.768658 |
| cigarettes | 0.476839 |
| J. The tobacco | 0.537957 |
| private tobacco companies | 0.588774 |
| total cigarette price | 0.47003 |
| global cigarette consumption | 0.47962 |
| global tobacco control | 0.587129 |
| United States | 0.521305 |
| tobacco packages | 0.559613 |
|
| smokers | 0.461468 |
| tobacco advertising | 0.61173 |
| tobacco control policy | 0.59649 |
| significant health benefits | 0.460529 |
| Adult Tobacco Survey | 0.625787 |
| tobacco marketing bans | 0.579436 |
| Global Youth Tobacco | 0.592705 |
| cigarette consumption | 0.495809 |
| graphic warning labels | 0.49353 |
| tobacco sales worldwide | 0.606522 |
| H. Tobacco advertising | 0.564787 |
| smokefree public places | 0.465778 |
| Cigarette package health | 0.470995 |
| effective tobacco control | 0.586957 |
| Global Adult Tobacco | 0.629526 |
| well-enforced smokefree policies | 0.463169 |
| specific health warnings | 0.460048 |
| tobacco control policies | 0.64573 |
| Tob Control | 0.482714 |
| Tobacco Questions | 0.55739 |
| cigarette packages | 0.466266 |
| Canadian Cancer Society | 0.487834 |
| Tobacco plants | 0.564941 |
| tobacco control | 0.843758 |
|
CLICK HERE |
| 5822 |
Centers for Disease Control and Prevention |
Html |
en |
Carbon black - 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 |
| 8714 |
Centers for Disease Control and Prevention |
Html |
en |
Cross-Sector Collaboration - Emergency Preparedness for Older Adults |
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 |
| 8812 |
Centers for Disease Control and Prevention |
Html |
en |
Naegleria fowleri - Policy & Recommendations |
Policy and Recommendations concerning Naegleria fowleri. Education and information about the brain eating ameba Naegleria fowleri that causes encephalitis and death including frequently asked questions, biology, sources of infection, diagnosis, treatment, prevention and control, and other publications and pertinent information for the public and medical professionals. |
| Acanthamoeba spp | 0.277918 |
| warm fresh water | 0.331728 |
| stiff neck | 0.273247 |
| visual disturbances | 0.274531 |
| laboratory confirmed.** | 0.269239 |
| recent history | 0.274123 |
| state health departments | 0.353488 |
| nasal mucosa | 0.295234 |
| mental-state abnormalities | 0.279407 |
| primary amoebic meningoencephalitis | 0.363542 |
| disease trends | 0.273263 |
| healthy children | 0.271289 |
| voluntary assistance | 0.277816 |
| water exposure | 0.269102 |
| sudden onset | 0.280696 |
| Naegleria fowleri infections | 0.909276 |
| clinically similar illness | 0.331403 |
| nasal discharge | 0.286815 |
| Initial signs | 0.2734 |
| young adults | 0.274584 |
| reference laboratory | 0.267973 |
| Territorial Epidemiologists | 0.365269 |
| standard case definition | 0.34206 |
| olfactory nerve | 0.278024 |
| nationally notifiable disease | 0.490142 |
|
| amebic encephalitis | 0.317088 |
| Acanthamoeba spp. | 0.280178 |
| U.S. Naegleria | 0.41794 |
| primary amebic meningoencephalitis | 0.555487 |
| molecular characterization | 0.268855 |
| State Health Services | 0.330309 |
| positive Kernig | 0.273656 |
| clinically compatible illness | 0.330061 |
| Infectious Disease Committee. | 0.327594 |
| free-living ameboflagellate | 0.286098 |
| fulminant hemorrhagic meningoencephalitis | 0.386105 |
| bacterial meningitis | 0.268894 |
| Definitive diagnosis | 0.267559 |
| Laboratory-confirmed Naegleria fowleri | 0.581967 |
| Brudzinski’s signs | 0.274673 |
| healthcare provider awareness | 0.323587 |
| non-notifiable infections | 0.295808 |
| free-living amebae | 0.275762 |
| Yoder JS | 0.267437 |
| Balamuthia mandrillaris | 0.367384 |
| nasal obstruction | 0.290724 |
| Texas notifiable conditions | 0.35176 |
| infected persons | 0.270898 |
| important environmental factors | 0.320164 |
|
CLICK HERE |
| 9799 |
Centers for Disease Control and Prevention |
Html |
en |
Chronic Fatigue Syndrome (CFS) - Treating the Most Disruptive Symptoms First |
null |
| bed | 0.237798 |
| severe fatigue | 0.476778 |
| thinking | 0.237693 |
| times | 0.237969 |
| Institute | 0.233133 |
| complex disease | 0.390667 |
| understanding | 0.233113 |
| health care providers | 0.539427 |
| ME/CFS | 0.833269 |
| dizziness | 0.257062 |
| pain | 0.235244 |
| timely diagnosis | 0.403076 |
| committee | 0.23346 |
| IOM | 0.260819 |
|
| Americans | 0.236337 |
| encephalomyelitis/chronic fatigue syndrome | 0.995804 |
| sleep problems | 0.402557 |
| usual activities | 0.430562 |
| body systems | 0.430988 |
| people | 0.311776 |
| symptoms | 0.233915 |
| symptom | 0.252966 |
| post-exertional malaise | 0.428804 |
| long-term illness | 0.481315 |
| new diagnostic criteria | 0.557353 |
| PEM | 0.255933 |
| MyalÂgic Encephalomyelitis/Chronic Fatigue | 0.602573 |
|
CLICK HERE |
| 10038 |
Centers for Disease Control and Prevention |
Html |
en |
Social Media Campaigns, Current and Past |
Social Media Tools for CDC. |
| 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 |
| 10790 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Association of the Neighborhood Retail Food Environment with Sodium and Potassium Intake Among US Adults - CDC |
High sodium intake and low potassium intake, which can contribute to hypertension and risk of cardiovascular disease, may be related to the availability of healthful food in neighborhood stores. Despite evidence linking food environment with diet quality, this relationship has not been evaluated in the United States. The modified retail food environment index (mRFEI) provides a composite measure of the retail food environment and represents the percentage of healthful-food vendors within a 0.5 mile buffer of a census tract. |
| food environment | 0.818668 |
| High sodium intake | 0.272023 |
| percentage white population | 0.213189 |
| sodium intake | 0.696534 |
| potassium intake | 0.995745 |
|
| low potassium intake | 0.271506 |
| healthful food | 0.249251 |
| sodium–potassium ratio | 0.485221 |
| total energy intake | 0.230668 |
| retail food environment | 0.559864 |
|
CLICK HERE |
| 11250 |
Centers for Disease Control and Prevention |
Html |
es |
Mayo es el Mes deConcientización sobre el Asma |
Aprenda a controlar su asma. |
| Archivo Apple Quicktime | 0.766595 |
| Archivo Zip Comprimido | 0.762406 |
| infecciones respiratorias | 0.667801 |
| Archivo Microsoft PowerPoint | 0.786418 |
| Archivo Adobe PDF | 0.765036 |
|
| Archivo Microsoft Excel | 0.761928 |
| causa episodios | 0.680493 |
| Estados Unidos | 0.673432 |
| Archivo Microsoft | 0.954426 |
|
CLICK HERE |
| 12044 |
Centers for Disease Control and Prevention |
Html |
en |
Human Parainfluenza Viruses | Symptoms and HPIV Illnesses | CDC |
Human parainfluenza viruses (HPIVs) commonly cause upper and lower respiratory illnesses. After infected, takes about 2-7 days before develop symptoms: fever, runny nose, and cough. |
| cold-like symptoms | 0.533877 |
| vocal cords | 0.553248 |
| runny nose | 0.587037 |
| multiple HPIV illnesses | 0.666941 |
| cough | 0.439794 |
| navigation Skip | 0.654821 |
| cause croup | 0.616489 |
| larynx | 0.440179 |
| upper respiratory illness | 0.803349 |
| pneumonia | 0.480476 |
| medical attention | 0.543318 |
| immune systems | 0.572154 |
| sore throat | 0.568528 |
| young children | 0.563001 |
| lungs | 0.527343 |
| severe respiratory illnesses | 0.756473 |
|
| main air passages | 0.676104 |
| smallest air passages | 0.678593 |
| irritability | 0.447513 |
| list Skip | 0.657312 |
| infants | 0.432483 |
| commonly cause | 0.615684 |
| air passages | 0.700247 |
| page options Skip | 0.792016 |
| bronchial tubes | 0.549303 |
| respiratory illnesses | 0.774467 |
| lower respiratory illness | 0.992844 |
| symptoms | 0.562447 |
| Human parainfluenza viruses | 0.712359 |
| ear pain | 0.545244 |
| older adults | 0.566902 |
|
CLICK HERE |
| 12843 |
Centers for Disease Control and Prevention |
Html |
en |
Patients Face More Lethal Infections from CRE | CDC Features |
Some germs are beating even our strongest antibiotics. Rapid action by clinicians and healthcare leaders is needed to stop the rise of lethal CRE infections. |
| common type | 0.484308 |
| wound infections | 0.527152 |
| CDC | 0.467647 |
| control steps | 0.477102 |
| lethal infections | 0.628142 |
| new information | 0.488053 |
| state health departments | 0.543594 |
| seven-fold increase | 0.483112 |
| routine bladder | 0.486434 |
| germs | 0.659945 |
| regional lab network | 0.548527 |
| patients | 0.470141 |
| antibiotic resistant pathogens. | 0.560996 |
| drug-resistant pathogens | 0.486888 |
| large cities | 0.481121 |
| strongest antibiotics | 0.532688 |
| severe infections | 0.528015 |
| healthy people | 0.477945 |
| intense infection prevention | 0.546664 |
| CRE | 0.901737 |
| inpatient medical care | 0.574335 |
| usual forms | 0.490455 |
| acute care hospitals | 0.54472 |
| outbreaks | 0.430415 |
|
| acute care facilities | 0.568847 |
| nursing homes | 0.566822 |
| Antibiotic Resistance Prevention | 0.561386 |
| outpatient practices | 0.476927 |
| United States | 0.481018 |
| germs.This means | 0.481056 |
| rapid improvement | 0.47976 |
| antibiotic-fighting abilities | 0.481556 |
| Rapid action | 0.497013 |
| KB | 0.431388 |
| healthcare leaders | 0.497925 |
| lethal germs | 0.618059 |
| 50 states | 0.48074 |
| Vital Signs report | 0.564427 |
| Enterobacteriaceae family | 0.489167 |
| major successes | 0.481796 |
| CRE prevention toolkit | 0.742798 |
| critical national infrastructure | 0.543806 |
| practical CRE prevention | 0.744795 |
| lethal CRE infections | 0.898734 |
| long-term acute care | 0.69913 |
| medical staff | 0.483834 |
| medical facilities | 0.611352 |
| e.g. E. coli | 0.567271 |
|
CLICK HERE |