| 1159 |
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Rabies Death Attributed to Exposure in Central America withSymptom Onset in a U.S. Detention Facility - Texas, 2013 |
Ryan M. Wallace, DVM1, Darlene Bhavnani, PhD2, John Russell, DO3, Sherif Zaki, MD4, Atis Muehlenbachs, MD4, Kathryn Hayden-Pinneri, MD5, Ricardo Mena Aplícano, MD6, Leonard Peruski, PhD7, Neil M. Vora, MD1, Diana Elson, DrPH8, Edith Lederman, MD8, Ben Leeson, MD3, Thomas McLaughlin, DO3, Steve Waterman, MD4, Maureen Fonseca-Ford, MPH2, Jesse Blanton, MPH2, Richard Franka, DVM4, Andres Velasco-Villa, PhD4, Michael Niezgoda4, Lillian Orciari, MS4, Sergio Recuenco, MD4, Inger Damon, MD4, Cathleen Hanlon, VMD4, Felix Jackson4, Jessie Dyer, MPH4, Ashutosh Wadhwa, PhD4, Laura Robinson, DVM9 (Author affiliations at end of text). |
| States detention facility | 0.437454 |
| canine rabies | 0.647388 |
| symptom onset | 0.479945 |
| Human Services | 0.44294 |
| detention staff members | 0.445787 |
| U.S. detention facility | 0.475615 |
| rabies virus exposures | 0.603527 |
| Zoonotic Infectious Diseases | 0.494028 |
| health department staff | 0.441325 |
| rabies patient | 0.575835 |
| animal exposures | 0.469226 |
| rabies contact investigation | 0.61744 |
| detention facility staff | 0.444948 |
| human-to-human rabies virus | 0.593601 |
| public health infrastructure | 0.470183 |
| rabies virus | 0.822903 |
| antemortem rabies | 0.54566 |
| Pan-American Health Organization | 0.493714 |
| persons worldwide die | 0.454649 |
| potential human-to-human rabies | 0.584262 |
| United States | 0.506468 |
| infectious period | 0.498719 |
| risk score | 0.467479 |
| rabies contact investigations | 0.603858 |
|
| detention facilities | 0.572284 |
| rabies virus antibodies | 0.615359 |
| State Health Services | 0.578706 |
| human rabies | 0.710598 |
| Public Health Investigation | 0.454141 |
| mucous membranes | 0.440885 |
| rabies risk assessment | 0.789785 |
| human-to-human rabies transmission | 0.666927 |
| medical clinic | 0.448376 |
| public health | 0.729182 |
| human rabies cases | 0.66402 |
| respiratory status | 0.442587 |
| detention facility | 0.756162 |
| staff members | 0.502788 |
| rabies | 0.924735 |
| endemic rabies | 0.525871 |
| experimental rabies treatment | 0.60772 |
| progressive encephalitic disease | 0.458155 |
| infection control measures | 0.554611 |
| canine rabies virus | 0.611685 |
| unique risk scoring | 0.478299 |
| rabies patients | 0.557152 |
| human rabies diagnosis | 0.595896 |
| rabies exposure | 0.593708 |
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Hydrazine - 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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| 5668 |
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Thiram - 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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| 7744 |
Centers for Disease Control and Prevention |
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Bartonella |
Bartonella bacteria cause several diseases in humans. The three most common are cat scratch disease, caused by B. henselae; trench fever, caused by B. quintana; and Carrión's disease, caused by B. bacilliformis.
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| Carrión’s disease | 0.762886 |
| B. quintana | 0.703318 |
| B. bacilliformis | 0.564359 |
| diseases | 0.351633 |
|
| Bartonella bacteria | 0.955946 |
| cat scratch disease | 0.966092 |
| trench fever | 0.80794 |
| humans | 0.424392 |
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| 9944 |
Centers for Disease Control and Prevention |
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Tribes and Indian Organizations - 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. |
| CDC/Indian Health Service | 0.59623 |
| critical element | 0.444604 |
| federally recognized tribes | 0.825638 |
| disease conditions | 0.452409 |
| Interior | 0.351312 |
| public health authorities | 0.587702 |
| health services research | 0.598728 |
| CDC/ATSDR Tribal Consultation | 0.584389 |
| health disparities | 0.468804 |
| core component | 0.43998 |
| disease control | 0.451311 |
| Federally Recognized Indian | 0.85133 |
| tribal lands | 0.474414 |
| rural Indian organizations. | 0.607236 |
| federally recognized tribe | 0.825485 |
| epidemiological analysis | 0.471086 |
| recent Notice | 0.459151 |
| surveillance data | 0.452134 |
| prevention programs | 0.446512 |
| Native-serving organizations | 0.461319 |
| Native American Research | 0.590557 |
| faculty development | 0.442633 |
| AI/AN communities | 0.541393 |
| American Indians | 0.451459 |
|
| official listing | 0.471763 |
| lists contact information | 0.582042 |
| United States | 0.451176 |
| Secretary | 0.363113 |
| indian tribes | 0.691238 |
| disease outbreaks | 0.455017 |
| AI/AN tribes | 0.54004 |
| Federal Register | 0.619017 |
| NARCH | 0.38393 |
| research training | 0.456722 |
| Tribal Epidemiology Centers | 0.601937 |
| epidemiological studies | 0.470149 |
| Tribal Leaders Directory | 0.609498 |
| Tribal List Act | 0.650783 |
| Alaska Natives | 0.457336 |
| developmental process | 0.43629 |
| Pamunkey Indian Tribe | 0.997837 |
| tribally based organizations | 0.621119 |
| research infrastructure | 0.448511 |
| urban Indian organizations | 0.627117 |
| Alaska Native tribe | 0.665228 |
| American Indian/Alaska Native | 0.603916 |
| national organizations | 0.455086 |
| tribal organizations | 0.484141 |
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| 11036 |
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Opioid Painkiller Prescribing - Vital Signs Infographic |
CDC Vital Signs - Opioid Painkiller Prescribing |
| drop | 0.441276 |
| Action | 0.465105 |
| red-orange bottle | 0.521737 |
| graphic orders | 0.506074 |
| Saw | 0.471243 |
| NPATM | 0.421726 |
| different levels | 0.503801 |
| bottle | 0.533662 |
| red bottle | 0.52035 |
| lowest number | 0.502733 |
| states | 0.733493 |
| Result | 0.470181 |
| painkiller prescriptions | 0.769845 |
| overdose deaths | 0.510139 |
| oxycodone | 0.423467 |
| yellow bottle | 0.522658 |
| multiple prescribers | 0.629009 |
| text | 0.438541 |
| health care providers | 0.759706 |
| highest number | 0.494646 |
|
| pain clinics | 0.493592 |
| drug monitoring program | 0.745417 |
| higher risk | 0.590243 |
| New York | 0.498841 |
| National Prescription Audit | 0.680838 |
| green bottle | 0.525903 |
| drugs | 0.439512 |
| patients | 0.438323 |
| Data | 0.421789 |
| people | 0.568785 |
| U.S. map | 0.517077 |
| pill bottles | 0.512006 |
| orange bottle | 0.52305 |
| IMS | 0.42371 |
| decrease | 0.420424 |
| prescription drug monitoring | 0.796348 |
| different states | 0.506758 |
| prescription painkillers | 0.929728 |
| Columbia | 0.444183 |
| View larger image | 0.747816 |
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Autism Spectrum Disorder (ASD) - Screening and Diagnosis |
Autism Spectrum Disorders (ASDs) are a group of developmental disabilities that can cause significant social, communication and behavioral challenges. CDC is working to find out how many children have ASDs, discover the risk factors, and raise awareness of the signs. |
| final diagnosis | 0.263272 |
| developmental screening test | 0.592039 |
| developmental screening | 0.748382 |
| family member | 0.236567 |
| developmental problems | 0.558539 |
| experienced professional | 0.271883 |
| ASD | 0.904698 |
| basic skills | 0.265396 |
| children | 0.368225 |
| Additional screening | 0.528238 |
| well-child doctor visits | 0.869253 |
| autism spectrum disorder | 0.518818 |
| neurological testing | 0.218582 |
| thorough review | 0.233317 |
| higher risk | 0.227138 |
|
| developmental delays | 0.594324 |
| regular well-child doctor | 0.863691 |
| comprehensive diagnostic evaluation | 0.404084 |
| blood test | 0.281057 |
| short test | 0.255964 |
| diagnostic tools | 0.23036 |
| primary care doctor | 0.414939 |
| medical test | 0.27071 |
| comprehensive evaluation | 0.219362 |
| vision screening | 0.295228 |
| genetic testing | 0.222203 |
| high risk | 0.472205 |
| medical testing | 0.213329 |
| low birth weight | 0.848976 |
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Employment and Activity Limitations Among Adults with Chronic Obstructive Pulmonary Disease - United States, 2013 |
Anne G. Wheaton, PhD1, Timothy J. Cunningham, PhD1, Earl S. |
| COPD patients | 0.761916 |
| Opinion Research Response | 0.47204 |
| limitation measures | 0.521085 |
| health care provider | 0.478594 |
| Janet B. Croft | 0.474034 |
| various activity limitations | 0.52461 |
| current smokers | 0.58667 |
| smoking status | 0.501995 |
| state health departments | 0.482105 |
| health care providers | 0.526524 |
| current smoking | 0.507534 |
| progressive respiratory conditions | 0.476515 |
| response rate | 0.490345 |
| activity limitation characteristics | 0.511354 |
| noninstitutionalized civilian adults | 0.486069 |
| special equipment | 0.559794 |
| health problems | 0.526243 |
| physician-diagnosed COPD | 0.725489 |
| smoking cessation | 0.487584 |
| pulmonary rehabilitation program | 0.476408 |
| chronic bronchitis | 0.476256 |
| Earl S. Ford | 0.472972 |
| Behavioral Risk Factor | 0.471639 |
| physical activity status | 0.536079 |
| obstructive pulmonary disease | 0.482224 |
|
| United States | 0.611391 |
| adults | 0.56228 |
| Timothy J. Cunningham | 0.473581 |
| respiratory symptoms | 0.468311 |
| Anne G. Wheaton | 0.534585 |
| activity limitations | 0.829415 |
| Data Quality Report | 0.476081 |
| greater educational level | 0.468047 |
| random-digit–dialed telephone survey | 0.470969 |
| activity limitation | 0.573155 |
| COPD prevalence | 0.74081 |
| important contributor | 0.477083 |
| U.S. adults | 0.54653 |
| age-adjusted prevalence | 0.503906 |
| response rates | 0.472357 |
| health | 0.531899 |
| physical activity | 0.666019 |
| median survey response | 0.474341 |
| current smoking status | 0.488865 |
| COPD diagnosis | 0.639241 |
| public health efforts | 0.469257 |
| American Indian/Alaska Native | 0.467485 |
| pulmonary rehabilitation | 0.565368 |
| COPD status | 0.674639 |
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VitalSigns Opioid Painkiller Prescribing |
CDC Vital Signs links science, policy, and communications with the intent of communicating a call-to-action for the public. CDC Vital Signs provides the most recent, comprehensive data on key indicators of important health topics. |
| mental health | 0.476174 |
| state-run health plans | 0.54265 |
| prescription painkiller | 0.831521 |
| opioid painkiller prescriptions | 0.678447 |
| prescription drugs | 0.653894 |
| pain treatment | 0.688025 |
| overdose deaths | 0.498888 |
| health care providers | 0.989625 |
| prescription painkillers* | 0.597072 |
| patient safety | 0.471724 |
| American adult | 0.483239 |
| compensation programs | 0.474156 |
| different parts | 0.473642 |
| patients | 0.505798 |
| prescribe large quantities | 0.541866 |
| Affordable Care Act | 0.529142 |
| pill mills | 0.472235 |
| prescription drug monitoring | 0.870615 |
| policy options | 0.535243 |
| particular promise | 0.474984 |
| person | 0.477787 |
| substance abuse treatment | 0.637436 |
| care providers practice | 0.552172 |
| state level | 0.473129 |
| specific type | 0.473988 |
|
| Vital Signs | 0.583562 |
| inappropriate prescribing | 0.47018 |
| highest-prescribing state | 0.480869 |
| Drug Administration | 0.469526 |
| substance abuse problems | 0.627645 |
| Health issues | 0.488609 |
| West Virginia | 0.474704 |
| effective pain treatment | 0.662247 |
| state-run databases | 0.557705 |
| multiple prescribers | 0.505823 |
| substance abuse | 0.658429 |
| prescription painkiller overdose | 0.72059 |
| Prescription Painkiller Overdoses | 0.742599 |
| high-dose painkillers | 0.589085 |
| pain treatment options | 0.538618 |
| responder access | 0.469607 |
| people | 0.477059 |
| Southern states | 0.473248 |
| prescription painkillers | 0.875826 |
| drug monitoring programs | 0.774749 |
| New Hampshire | 0.474434 |
| Drugs Information | 0.470657 |
| lowest prescribing state | 0.549529 |
| high-volume pain clinics | 0.545217 |
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| 16156 |
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Todos pueden ayudar a detener el hostigamiento de los niños que tienen el síndrome de Gilles de la Tourette - Especiales CDC - CDC en Español |
Del 15 de mayo al 15 de junio es el Mes de Concientización sobre el Síndrome de Tourette. El tema de este año es un desafío para aumentar la concientización y la aceptación del síndrome de Gilles de la Tourette (#DesafíoST). Conozca la información sobre los tics y el síndrome de Gilles de la Tourette (también llamado síndrome de Tourette o TS, por sus siglas en inglés) y sepa cómo puede aumentar la aceptación al ayudar a detener el hostigamiento de los niños con este síndrome. |
| Archivo Apple Quicktime | 0.831324 |
| malas palabras | 0.773977 |
| Archivo Zip Comprimido | 0.827813 |
| Archivo Microsoft PowerPoint | 0.844402 |
| Archivo Adobe PDF | 0.828397 |
| Archivo Microsoft Excel | 0.823898 |
|
| pequeña cantidad | 0.771885 |
| boy scouts | 0.742085 |
| Archivo Microsoft | 0.982742 |
| Embajadores Juveniles | 0.752186 |
| Archivo Microsoft Word | 0.842044 |
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