| 1159 |
Centers for Disease Control and Prevention |
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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 |
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| 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 |
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| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
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| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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| 5668 |
Centers for Disease Control and Prevention |
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Thiram - NIOSH Pocket Guide to Chemical Hazards |
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| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
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| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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| 6488 |
Centers for Disease Control and Prevention |
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Promoting active communities in a culture of distracted driving |
Efforts to improve health outcomes through behavioral modification are often complicated by external factors that may thwart success and introduce potential harm. Factors associated with traffic safety present a contemporary challenge to efforts to promote physical activity. One example is the difficulty of encouraging pedestrian-based physical activity because of the growing prevalence of distracted driving. |
| pedestrian-based physical activity | 0.60409 |
| communications technology sector | 0.514475 |
| active communities | 0.531982 |
| Texas A&M University | 0.53029 |
| environmental modifications | 0.528527 |
| monthly text messages | 0.529517 |
| Matthew Lee Smith | 0.512769 |
| Rural Public Health | 0.639553 |
| reduced collision claims | 0.522761 |
| commercial automotive industry | 0.519177 |
| portable technology device | 0.527996 |
| College Station | 0.560722 |
| Mark E. Benden | 0.521829 |
| Science Center School | 0.617911 |
| health outcomes | 0.515245 |
| bicycle lanes | 0.550293 |
| Traffic Safety Association | 0.552938 |
| active transportation | 0.551606 |
| roadway design accounts | 0.546953 |
| Healthy People | 0.525273 |
| markedly increased injuries | 0.520261 |
| public health | 0.732922 |
| street-scale environmental policies | 0.543782 |
| distracted driving | 0.628849 |
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| overall roadway safety | 0.554407 |
| bicyclists | 0.547642 |
| mobile communication technology | 0.532008 |
| automobile-pedestrian interactions | 0.530585 |
| pedestrians | 0.620233 |
| street design features | 0.537398 |
| A&M Health Science | 0.63285 |
| road users | 0.545912 |
| Texas A&M Health | 0.632675 |
| traffic safety | 0.617277 |
| physical activity | 0.995746 |
| promotes physical activity | 0.58713 |
| public health movement | 0.573079 |
| Complete Streets initiative | 0.655312 |
| proper technological solutions | 0.512361 |
| Health Science Center | 0.63436 |
| hand-held cellular telephone | 0.533732 |
| Public Health Service | 0.566616 |
| physical activity opportunities | 0.586768 |
| unsafe street environments | 0.532751 |
| independently rising growth | 0.518548 |
| specifies active transportation | 0.547873 |
| modifiable public infrastructures | 0.56629 |
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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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Centers for Disease Control and Prevention |
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Asthma - State Data Profiles |
National Asthma Control Program State Profiles |
| CDC National Asthma | 0.704331 |
| Technical Notes | 0.244398 |
| Puerto Rico | 0.274055 |
| State Contacts | 0.253009 |
| visit https://www.cdc.gov/asthma/nacp.htm | 0.266751 |
| asthma patient education | 0.651413 |
| state partners | 0.253563 |
| Select state profiles | 0.380136 |
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| previous funding cycle | 0.433435 |
| current information | 0.2607 |
| U.S. Statistical data | 0.383744 |
| Asthma Control Program | 0.924017 |
| Asthma State Profiles | 0.857316 |
| Program grantee states | 0.419611 |
| National Asthma Control | 0.924709 |
| asthma prevalence | 0.550177 |
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| 9944 |
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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 |
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| 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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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 |
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| 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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| 14317 |
Centers for Disease Control and Prevention |
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How Potassium Iodide (KI) Works| Infographic |
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| 16098 |
Centers for Disease Control and Prevention |
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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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