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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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Centers for Disease Control and Prevention |
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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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Centers for Disease Control and Prevention |
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Notes from the Field: Reports of Expired Live AttenuatedInfluenza Vaccine Being Administered - United States,2007-2014 |
Please note: An erratum has been published for this article. To view the erratum, please click here. |
| health risk | 0.463178 |
| administration | 0.388628 |
| expired vaccine | 0.947863 |
| valid dose | 0.465985 |
| Healthcare Quality | 0.460987 |
| Zoonotic Infectious Diseases | 0.597999 |
| Health care providers | 0.587149 |
| Tom Shimabukuro | 0.513184 |
| Paige Lewis | 0.492742 |
| National Center | 0.458314 |
| influenza vaccine | 0.886933 |
| LAIV reports | 0.591616 |
| Penina Haber | 0.670352 |
| early fall | 0.471307 |
| Christopher P. Schembri | 0.668335 |
| vaccine types | 0.644739 |
| Vaccine Adverse Event | 0.778387 |
| inactivated influenza vaccine | 0.865744 |
| Corresponding author | 0.457941 |
| Annual influenza vaccination | 0.734792 |
| vaccination date | 0.48576 |
| contrast | 0.371302 |
| late summer | 0.481383 |
| standard expiration date | 0.686114 |
|
| passive surveillance | 0.625157 |
| 18-week shelf life | 0.646568 |
| 1Immunization Safety Office | 0.595568 |
| Replacement options | 0.455603 |
| expiration date | 0.866097 |
| relatively short shelf | 0.64265 |
| United States | 0.483629 |
| error | 0.402118 |
| adverse health event | 0.619762 |
| small fraction | 0.465612 |
| vaccine recipients | 0.608635 |
| IIV reports | 0.488775 |
| disproportional reporting | 0.460286 |
| short shelf life | 0.904633 |
| expired LAIV | 0.748901 |
| VAERS likely captures | 0.710778 |
| Christopher Ambrose | 0.470178 |
| influenza season | 0.544554 |
| Author affiliations | 0.491566 |
| MPH1 | 0.382406 |
| Beth Hibbs | 0.501136 |
| personal communication | 0.477602 |
| hypothesis | 0.366628 |
| implement measures | 0.450109 |
|
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Centers for Disease Control and Prevention |
Html |
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Potassium cyanide (as CN) - 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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| 8583 |
Centers for Disease Control and Prevention |
Html |
en |
Avian Influenza A H7N9 Publications and Resources |
Publications and resources related to Avian Influenza A (H7N9) - CDC |
| Parry J. H7N9 | 0.568087 |
| avian influenza | 0.946947 |
| Zoonotic Influenza | 0.600769 |
| influenza virus subtypes | 0.644308 |
| H7N9 avian flu | 0.607806 |
| infectious diseases | 0.671565 |
| Live Poultry Market | 0.551857 |
| BMC infectious diseases | 0.557047 |
| Wang | 0.565297 |
| avian flu kills | 0.569339 |
| Virus Infection | 0.563996 |
| h7n9 influenza | 0.736457 |
| Engl J Med. | 0.609407 |
| reassortant avian influenza | 0.657085 |
| Novel Avian-Origin Influenza | 0.625491 |
| Virus Infections | 0.583032 |
| H7N9 virus | 0.62434 |
| avian flu infects | 0.569809 |
| influenza a virus | 0.673489 |
| emergent H7N9 influenza | 0.663225 |
| human infection | 0.608401 |
| Avian Dis. | 0.560191 |
| doi | 0.565494 |
| H9 avian influenza | 0.664481 |
|
| Early H7N9 Outbreaks | 0.553656 |
| novel influenza | 0.663411 |
| Human Influenza | 0.627965 |
| novel avian influenza | 0.663549 |
| novel H7N9 virus | 0.591228 |
| H7N9 Influenza Infection | 0.710912 |
| Virus Subtype H7N9 | 0.58265 |
| origin H7N9 influenza | 0.643873 |
| China | 0.59353 |
| Inapparent Avian Exposure | 0.574034 |
| MS. Avian influenza | 0.655702 |
| Human H7N9 Influenza | 0.637906 |
| Avian diseases | 0.568962 |
| avian influenza virus | 0.734503 |
| Avian H7N9 Influenza | 0.688279 |
| H7N9 avian influenza | 0.712091 |
| avian influenza virus-search | 0.650011 |
| human infections | 0.606681 |
| influenza viruses | 0.618988 |
| live poultry | 0.569509 |
| et al | 0.96967 |
| New England Journal | 0.557608 |
| Liu | 0.561378 |
| New Avian Influenza | 0.669134 |
|
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Centers for Disease Control and Prevention |
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Naegleria fowleri - Diagnosis - Info for Health Professionals |
Information for health professionals about 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. |
| free-living amebic infections | 0.375827 |
| CDC | 0.369886 |
| Acanthamoeba spp | 0.363288 |
| brain biopsy | 0.341642 |
| following specimens | 0.340461 |
| Emergency Operation Center—770-488-1700 | 0.362708 |
| indirect immunofluorescent antibody | 0.360179 |
| reference diagnostic laboratories | 0.356172 |
| real-time PCR | 0.354843 |
| ameboid trophozoites | 0.364157 |
| freshly-centrifuged CSF sediment | 0.425293 |
| clinical specimens | 0.368647 |
| environmental specimens | 0.344104 |
| autopsy specimens | 0.347499 |
| Infectious Disease Committee. | 0.353019 |
| organ transplantation | 0.348901 |
| state health department | 0.362413 |
| CSF | 0.475449 |
| Naegleria fowleri | 0.905518 |
| ameboid trophozoites measure | 0.361269 |
| higher temperature | 0.380237 |
| Wright-Giemsa stains | 0.362347 |
| E. coli | 0.355231 |
| tissue specimens | 0.397671 |
|
| elevated opening pressure | 0.36616 |
| unrefrigerated cerebrospinal fluid | 0.361969 |
| Laboratory-confirmed Naegleria fowleri | 0.567963 |
| thermophilic free-living amebae | 0.382586 |
| immune alkaline phosphatase | 0.358616 |
| mammalian cell cultures | 0.35525 |
| California PAM survivor | 0.370292 |
| diagnostic testing | 0.361235 |
| microscopic examination | 0.398342 |
| Naegleria fowleri infection | 0.620867 |
| thermophilic amebae | 0.362531 |
| free-living amebae | 0.484886 |
| Balamuthia mandrillaris | 0.369119 |
| Malaria telediagnosis tool | 0.361206 |
| Naegleria fowleri Organ | 0.511556 |
| µm trophozoite | 0.344949 |
| CDC requests | 0.364154 |
| routine diagnostic procedure | 0.356254 |
| CSF smear | 0.396643 |
| unfixed tissue samples | 0.365402 |
| linear forward direction | 0.356272 |
| negative culture result | 0.35214 |
| PAM die | 0.343625 |
|
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Teen Drinking and Driving infographic |
CDC Vital Signs - The percentage of teens in high school who drink and drive has decreased by more than half since 1991, but more can be done. |
| Oregon | 0.321151 |
| data | 0.346389 |
| United States | 0.390523 |
| Maine | 0.321206 |
| Hispanic males | 0.406479 |
| female high school | 0.457445 |
| percentage | 0.401467 |
| Missouri | 0.321187 |
| Black non-Hispanic females | 0.496677 |
| Nevada | 0.321169 |
| alcohol | 0.324039 |
| old females | 0.398904 |
| Hawaii | 0.321243 |
|
| percentages | 0.324712 |
| Minnesota | 0.321224 |
| high school students | 0.932203 |
| California | 0.321261 |
| Black non-Hispanic teens | 0.503705 |
| White non-Hispanic teens | 0.510492 |
| Pennsylvania | 0.321132 |
| graphic shows | 0.395423 |
| males age | 0.398666 |
| ethnicities | 0.326538 |
| alcohol* | 0.325463 |
| male high school | 0.467492 |
| female students | 0.392878 |
|
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Centers for Disease Control and Prevention |
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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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Centers for Disease Control and Prevention |
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NCHHSTP Newsroom - Healthy Youth tab |
Your Connection to the Latest HIV/AIDS, Hepatitis, STD and TB News at CDC |
| HIV trends | 0.530216 |
| International AIDS Conference | 0.555363 |
| pre-exposure prophylaxis | 0.494867 |
| CDC | 0.841158 |
| injection drug | 0.59428 |
| U.S. HIV care | 0.617763 |
| HIV prevention | 0.533091 |
| health risk behaviors | 0.575121 |
| Risk Behavior Survey | 0.573109 |
| Youth Risk Behavior | 0.57312 |
| HIV care continuum | 0.619439 |
| suicide-related behaviors | 0.501397 |
| recent national data | 0.578624 |
| health behaviors | 0.497691 |
| New preliminary data | 0.781122 |
| syringe services programs | 0.718216 |
| new CDC findings | 0.56257 |
| annual HIV infections | 0.610915 |
| TB Prevention | 0.494673 |
| new CDC Vital | 0.632323 |
| new data | 0.549129 |
| Dr. Jonathan Mermin | 0.559961 |
| sexual risk behaviors | 0.496483 |
| New CDC data | 0.76127 |
| treatment | 0.505703 |
|
| new hepatitis | 0.505493 |
| United States | 0.93285 |
| healthy behaviors | 0.49773 |
| sexual risk | 0.520324 |
| African Americans | 0.534449 |
| CDC authors | 0.508606 |
| sexually transmitted infections | 0.563585 |
| annual Sexually Transmitted | 0.565353 |
| race / ethnicity | 0.494588 |
| HIV diagnosis | 0.539681 |
| viral hepatitis | 0.524192 |
| Vital Signs report | 0.55381 |
| cases | 0.501947 |
| Sexually Transmitted Disease | 0.569123 |
| HIV incidence | 0.534805 |
| CDC researchers | 0.607732 |
| high school students | 0.530317 |
| bisexual men | 0.534776 |
| highest overall number | 0.550283 |
| higher levels | 0.522 |
| Opportunistic Infections | 0.494684 |
| HIV | 0.731998 |
| hepatitis C infections | 0.500791 |
| CDC Vital Signs | 0.778367 |
|
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Centers for Disease Control and Prevention |
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Prediabetes and Type 2 Diabetes Affect Your Workforce | NDPP | Diabetes |
National Diabetes Prevention Program |
| heart attack | 0.355873 |
| CDC | 0.225082 |
| United States | 0.343254 |
| workforce issue | 0.336637 |
| Projection | 0.224422 |
| Page | 0.250009 |
| type | 0.297618 |
| toll | 0.226755 |
| https://www.cdc.gov/diabetes/data | 0.223609 |
| burden | 0.228339 |
| exaggeration | 0.238573 |
| prevalence | 0.227696 |
| times | 0.223543 |
| diabetes puts individuals | 0.794081 |
| productivity | 0.222928 |
| Population Health Metrics | 0.432722 |
| Gregg EW | 0.343837 |
| consequences | 0.224073 |
| Boyle JP | 0.340901 |
| total cost | 0.336309 |
| trends | 0.223349 |
| medical expenses | 0.352458 |
|
| Barker LE | 0.33075 |
| adult population | 0.328912 |
| 5-year period | 0.348136 |
| National Diabetes | 0.745991 |
| U.S. adults | 0.492738 |
| infographics | 0.23864 |
| Diabetes Statistics Report | 0.770774 |
| diagnosed diabetes | 0.628472 |
| people | 0.252715 |
| stroke | 0.225373 |
| National Diabetes Surveillance | 0.71026 |
| Thompson TJ | 0.334501 |
| health problems | 0.341857 |
| person | 0.284529 |
| Williamson DF. | 0.3319 |
| diabetes incurs | 0.635965 |
| mortality | 0.226596 |
| risk | 0.251739 |
| dynamic modeling | 0.327363 |
| intervention | 0.226594 |
| diabetes | 0.943062 |
| incidence | 0.225271 |
|
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