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Fixed Drug Eruption Associated with Sulfonamides Sold inLatino Grocery Stores - Greater Washington, DC, Area,2012-2013 |
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. |
| possible adverse drug | 0.326414 |
| multiforme-like adverse drug | 0.348645 |
| United States | 0.734012 |
| nonsteroidal antiinflammatory drug | 0.262482 |
| Latin American market | 0.235033 |
| Drug Administration | 0.262985 |
| MedWatch Safety Information | 0.342828 |
| Washington | 0.290926 |
| drug eruption | 0.416377 |
| El Salvador | 0.659904 |
| Latin American grocery | 0.278657 |
| adverse drug reaction | 0.649429 |
| Health-care professionals | 0.237125 |
| oral antibiotics | 0.248448 |
| U.S. Census data | 0.238925 |
| drug eruptions | 0.268695 |
| over-the-counter cold | 0.300194 |
| U.S. Latino communities | 0.267216 |
| Scott A. Norton | 0.333047 |
| public health risk | 0.243241 |
| alert regarding Baczol | 0.282831 |
| Baczol Antigripal formulation | 0.280251 |
| Baczol Antigripal ingredients | 0.313409 |
| potential adverse drug | 0.317288 |
|
| Latino grocery stores | 0.982551 |
| similar fixed drug | 0.282416 |
| trade names | 0.234429 |
| severe skin conditions | 0.319532 |
| adverse events | 0.273223 |
| Baczol product | 0.233446 |
| greater Washington | 0.285987 |
| Safety Alert | 0.236584 |
| adverse drug reactions | 0.697193 |
| Event Reporting Program | 0.347652 |
| adverse drug | 0.744567 |
| nonprescribed antibiotics | 0.306277 |
| flu remedies | 0.294894 |
| Adverse Event Reporting | 0.385269 |
| prescription | 0.33869 |
| National Drug Code | 0.268158 |
| TMP/SMX-containing products | 0.264193 |
| Adams Morgan neighborhoods | 0.233475 |
| National Medical Center | 0.516411 |
| Salvadoran neighborhoods | 0.326349 |
| Baczol Expectorante | 0.535478 |
| Baczol Antigripal | 0.862286 |
| Baczol products | 0.417655 |
|
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Plan Ahead: Folic Acid Can Help Prevent Certain Birth Defects | CDC Features |
Make a PACT to get healthy before and during pregnancy. |
| CDC | 0.422764 |
| mustard greens | 0.430637 |
| foods | 0.41744 |
| spina bifida | 0.47533 |
| early pregnancy | 0.435466 |
| neural tube defects | 0.721743 |
| mcg | 0.450217 |
| significant contribution | 0.429584 |
| daily multivitamin | 0.439978 |
| major birth defects | 0.50517 |
| U.S. Food | 0.431146 |
| National Center | 0.431351 |
| health professionals | 0.430684 |
| global initiative | 0.429051 |
| Birth Defects COUNT | 0.523945 |
| corn chips | 0.430123 |
| cereals | 0.412011 |
| baby’s brain | 0.434302 |
| tube defects prevention | 0.557054 |
| women | 0.435393 |
| orange juice | 0.430895 |
| Developmental Disabilities | 0.429423 |
| woman | 0.438788 |
| United States | 0.463231 |
| folic acid intake | 0.547733 |
|
| upset stomach | 0.433811 |
| Drug Administration | 0.432113 |
| corn masa flour | 0.505304 |
| food folate | 0.432696 |
| new cells | 0.461652 |
| programmatic expertise | 0.431857 |
| preconception health | 0.437991 |
| taco shells | 0.431411 |
| easy way | 0.432474 |
| folic acid | 0.914818 |
| lifelong disability | 0.430764 |
| folic acid daily | 0.549432 |
| middle-resource countries | 0.430854 |
| food packaging | 0.431426 |
| acid educational materials | 0.492251 |
| reproductive age | 0.429083 |
| spine | 0.412303 |
| birth defects | 0.626828 |
| healthy baby | 0.436536 |
| best option | 0.434143 |
| enriched breads | 0.432723 |
| severe physical disabilities | 0.462992 |
| healthy habit | 0.432508 |
| time | 0.411447 |
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Pentaerythritol - 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 |
|
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Centers for Disease Control and Prevention |
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Cholera | Diagnosis and Testing |
A review of clinical features of multiple patients who are part of a suspected outbreak of acute watery diarrhea can be helpful in identifying cholera because of the rapid spread of the disease. |
| single patient | 0.432057 |
| CDC | 0.31999 |
| rapid spread | 0.439752 |
| early warning | 0.412498 |
| Crystal VC® dipstick | 0.52988 |
| acute watery diarrhea | 0.92617 |
| gold standard | 0.420162 |
| Cary Blair media | 0.520718 |
| selective thiosulfate–citrate–bile salts | 0.525002 |
| widespread outbreak | 0.459661 |
| nationally reportable disease | 0.518038 |
| isolate | 0.326512 |
| identification | 0.359466 |
| state health department | 0.693428 |
| review | 0.322104 |
| rapid test kits | 0.521335 |
| specificity | 0.330519 |
| cholera | 0.658346 |
| potential | 0.320399 |
| stool sample | 0.4603 |
| antimicrobial susceptibility testing | 0.522035 |
|
| cholera toxin-testing | 0.535871 |
| stool specimen | 0.446155 |
| V. cholerae | 0.548574 |
| fecal specimens | 0.418096 |
| Vibrio cholerae serogroup | 0.645475 |
| routine diagnosis | 0.414393 |
| isolation | 0.386773 |
| epidemic settings | 0.418508 |
| public health officials | 0.50306 |
| multiple patients | 0.429608 |
| U.S. Commercially | 0.416984 |
| subtyping | 0.34648 |
| laboratory diagnosis | 0.415087 |
| traditional culture-based methods | 0.51194 |
| management | 0.320563 |
| Reagents | 0.320236 |
| pathogen | 0.327768 |
| sensitivity | 0.322296 |
| health department laboratories | 0.695497 |
| clinical features | 0.432449 |
|
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Worker Safety After a Flood-2004 Indian Ocean Tsunamis |
CDC provides information for survivors and clinicians on tsunami health and safety concerns including flooding, disease outbreaks, food safety, water quality, and cleanup. |
| volcanic eruption | 0.781747 |
| U.S. coastline | 0.653322 |
| health concerns | 0.617641 |
| underwater disturbance | 0.754305 |
| earthquake | 0.403035 |
| landslide | 0.440149 |
| enormous waves | 0.840264 |
|
| water safety | 0.576533 |
| tsunami | 0.528515 |
| series | 0.350738 |
| tsunamis | 0.5936 |
| meteorite | 0.433469 |
| information | 0.344084 |
|
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Conference Call April 10, 2014'Clinicians Outreach and Communication Activity (COCA) |
CDC Clinician Outreach and Communication Activity (COCA). Providing clinicians the most current and reliable information on emerging public health threats, such as pandemics, natural disasters, and bioterrorism. |
| Lyme disease | 0.637092 |
| financial interests | 0.449557 |
| veterinary profession | 0.438277 |
| Universal Activity Number | 0.571306 |
| National Commission | 0.452125 |
| ANSI/IACET CEU | 0.468996 |
| AAVSB RACE approval | 0.567616 |
| planners | 0.346337 |
| commercial supporters | 0.443139 |
| Accreditation Council | 0.613278 |
| physicians | 0.355196 |
| Disease Control | 0.945508 |
| prevention | 0.481739 |
| live activity | 0.465978 |
| commercial services | 0.448987 |
| American Nurses | 0.453994 |
| symptoms | 0.359019 |
| education contact | 0.677585 |
| Master Certified Health | 0.581503 |
| commercial products | 0.449142 |
| Authorized Provider | 0.460952 |
| Old Meadow Road | 0.585845 |
| education requirements | 0.49702 |
| CNE | 0.334128 |
|
| Centers | 0.442447 |
| treatment | 0.356995 |
| AMA PRA Category | 0.6046 |
| United States | 0.480982 |
| aavsb race program | 0.748052 |
| International Association | 0.457617 |
| fever | 0.360591 |
| Certified Health Education | 0.782452 |
| CHES | 0.335848 |
| Rocky Mountain | 0.634499 |
| CECH | 0.34611 |
| tickborne diseases | 0.965212 |
| Health Education Specialists | 0.782355 |
| CDC provider number | 0.644192 |
| Health Education Credentialing | 0.645039 |
| level continuing education | 0.651924 |
| enduring 0387-0000-14-093-H04-P course | 0.571707 |
| Continuing Nursing Education | 0.671283 |
| cases | 0.353579 |
| Continuing Medical Education | 0.678372 |
| Early recognition | 0.468765 |
| IACET CEU | 0.471114 |
| pharmacy education | 0.681975 |
| maximum | 0.355799 |
|
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Preventing Chronic Disease | Clinician-Targeted Intervention and Patient-Reported Counseling on Physical Activity - CDC |
Limited time and lack of knowledge are barriers to physical activity counseling in primary care. The objective of this study was to examine the effectiveness of a clinician-targeted intervention that used the 5As (Ask, Advise, Agree, Assist, Arrange) approach to physical activity counseling in a medically underserved patient population. |
| medically underserved population | 0.490137 |
| health centers | 0.487177 |
| clinician training program | 0.478313 |
| Activity Exit Interview | 0.490756 |
| clinical counseling framework | 0.462892 |
| 6-month follow-up | 0.466091 |
| clinicians | 0.633202 |
| Preventive Services Task | 0.494555 |
| counseling skills | 0.492579 |
| group | 0.564339 |
| care–based physical activity | 0.471698 |
| clinician intervention | 0.471089 |
| BMC Health Serv | 0.469103 |
| body mass index | 0.467754 |
| clinician groups | 0.466068 |
| patients | 0.620183 |
| primary care settings | 0.481867 |
| primary care physicians | 0.480173 |
| clinician-targeted intervention | 0.490833 |
| physical activity promotion | 0.466098 |
| physical activity counseling | 0.70706 |
| clinician training intervention | 0.510836 |
| intervention | 0.589012 |
| community exercise program | 0.738468 |
| study | 0.497761 |
|
| 5As | 0.516108 |
| possible score range | 0.460457 |
| PAEI score | 0.529452 |
| clinician training techniques | 0.466542 |
| community resources | 0.460409 |
| National Cancer Institute | 0.46454 |
| Canadian Task Force | 0.460588 |
| primary care patients | 0.492848 |
| community exercise programs | 0.476052 |
| federally qualified health | 0.476615 |
| baseline PAEI score | 0.461849 |
| average PAEI score | 0.467964 |
| Group l clinicians | 0.493144 |
| health | 0.495598 |
| counseling obese patients | 0.473354 |
| Services Task Force | 0.535505 |
| physical activity | 0.930855 |
| community health centers | 0.462815 |
| Low-intensity counseling interventions | 0.462548 |
| inadequate physical activity | 0.482929 |
| patient-centered medical home | 0.465265 |
| primary care | 0.653349 |
| Health Serv Res | 0.469301 |
| Physical Activity Exit | 0.508838 |
|
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CDC in the Field: Greg |
Watch this #CDCintheField Video Diary from Greg as he listens to the sounds of Sierre Leone outside the #Ebola Surveillance unit. |
| Field | 0.669684 |
| CDC | 0.997055 |
|
|
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Facts about Pulmonary Atresia | Congenital Heart Defects | NCBDDD | CDC |
CDC works to identify causes of birth defects and opportunities to prevent them. By applying a public health approach incorporating three essential elements—surveillance or disease tracking, research to identify causes, and prevention research and programs—we can rapidly translate scientific findings into appropriate public health interventions. |
| unformed pulmonary valve | 0.51419 |
| pulmonary artery | 0.597127 |
| blood vessel | 0.50331 |
| United States | 0.44361 |
| ductus arteriosus | 0.493009 |
| main pulmonary artery | 0.555292 |
| pulmonary atresia1 | 0.484378 |
| babies | 0.446414 |
| underdeveloped right ventricle | 0.452499 |
| bluish skin | 0.440967 |
| National Birth Defects | 0.450123 |
| Birth Defects Data | 0.45007 |
| Birth Defects Research | 0.450515 |
| healthcare provider suspect | 0.43845 |
| left upper chambers | 0.438842 |
| lower chambers | 0.439031 |
| critical congenital heart | 0.518883 |
| pulmonary valve | 0.630875 |
| birth defect | 0.464278 |
| lungs | 0.479851 |
| patent ductus arteriosus | 0.478144 |
| ventricular septal defect | 0.577405 |
| intact ventricular septum | 0.480796 |
| Pulse Oximetry Screening | 0.4398 |
|
| blood flow | 0.543047 |
| pulse oximetry | 0.478708 |
| heart defects | 0.474479 |
| skin color | 0.438123 |
| irregular blood flow | 0.449056 |
| major blood vessels | 0.448984 |
| Population-based Birth Defects | 0.450966 |
| blood | 0.620768 |
| birth defects | 0.536415 |
| heart | 0.619765 |
| pulmonary valve stenosis | 0.509426 |
| lower right chamber | 0.445609 |
| congenital heart defect | 0.52187 |
| baby’s heart | 0.447308 |
| heart murmur | 0.44327 |
| right ventricle | 0.58892 |
| fetal echocardiogram | 0.440878 |
| Congenital Heart Defects | 0.455944 |
| cardiac catheterization | 0.442314 |
| simple bedside test | 0.43739 |
| pulmonary atresia | 0.929111 |
| baby | 0.501686 |
| baby’s lungs | 0.441457 |
|
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Two thirds of US adults believe pharmacies should not sell tobacco |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| American adults | 0.398756 |
| representative web-based survey | 0.441063 |
| tobacco-free pharmacy laws | 0.473024 |
| current cigarette smokers | 0.499856 |
| tobacco product sales | 0.554963 |
| Disease Control | 0.396894 |
| established concern | 0.37906 |
| CDC’s Office | 0.388515 |
| chronic disease management | 0.440266 |
| annual revenues | 0.387165 |
| Director Tom Frieden | 0.47747 |
| Corinne Graffunder | 0.386854 |
| preventable cause | 0.470206 |
| American Journal | 0.394936 |
| tobacco products | 0.927251 |
| retail pharmacy stores | 0.44015 |
| Porter Novelli | 0.381888 |
| Selling tobacco products | 0.566923 |
| de-normalize tobacco | 0.479431 |
| evidence-based cessation support | 0.45708 |
| Tobacco-free pharmacy policies | 0.466275 |
| tobacco-free pharmacy | 0.479772 |
| nearly half | 0.464056 |
| professional obligation | 0.381959 |
| tobacco-related diseases | 0.386182 |
|
| tobacco sales | 0.475823 |
| non-cigarette tobacco users | 0.692227 |
| CVS Health | 0.464435 |
| health consequences | 0.384879 |
| smoking-related illness | 0.380442 |
| percent | 0.689588 |
| cigarette smoking | 0.453284 |
| visit http://www.smokefree.gov | 0.376052 |
| cessation resources | 0.387152 |
| non-Hispanic blacks | 0.392956 |
| tobacco product advertising | 0.545819 |
| non-Hispanic whites | 0.391058 |
| better support | 0.383241 |
| pharmacies | 0.551894 |
| new policy | 0.385078 |
| national retail pharmacy | 0.460865 |
| U.S. adults | 0.379558 |
| Summer Styles | 0.378763 |
| cigarette smokers | 0.619632 |
| Preliminary data | 0.385484 |
| impulse purchases | 0.384069 |
| Additional Findings | 0.385271 |
| Preventive Medicine | 0.395813 |
| FDA-approved medications | 0.386885 |
|
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