| 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 |
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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 |
null |
| 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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| 6359 |
Centers for Disease Control and Prevention |
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Melanoma skin cancer has costly and deadly impact on America - Press Release: October 19, 2011 |
Melanoma skin cancer has costly and deadly impact on America |
| Marcus Plescia | 0.513762 |
| skin cancer | 0.970755 |
| CDC | 0.571479 |
| American Academy | 0.711502 |
| skin cancer prevention | 0.652915 |
| CDC’s National | 0.548129 |
| common skin cancer | 0.703107 |
| UVB protection | 0.514645 |
| economic toll | 0.514088 |
| male counterparts | 0.508919 |
| skin cancers | 0.560305 |
| common form | 0.528013 |
| Disease Control | 0.526114 |
| End Results Program—together | 0.605437 |
| skin pigment | 0.544039 |
| melanoma surveillance | 0.849265 |
| Donatus Ekwueme | 0.514274 |
| American Indian/Alaska Natives | 0.615343 |
| Pacific Islander females | 0.614151 |
| melanoma | 0.98116 |
| LSU Health Sciences | 0.600702 |
| CDC’s Division | 0.55567 |
| melanoma rates | 0.71402 |
| sun protective factor | 0.575033 |
|
| prevention strategies | 0.521405 |
| journal supplement | 0.525062 |
| white females | 0.525337 |
| Hispanic females | 0.522355 |
| Public Health | 0.509548 |
| Xiao Cheng Wu | 0.596785 |
| United States | 0.735607 |
| premature death | 0.517336 |
| cancer registries | 0.62704 |
| hair color | 0.515709 |
| younger ages | 0.519383 |
| American Indians/Alaskan Natives | 0.605182 |
| New policies | 0.516072 |
| National Cancer Institute | 0.637174 |
| melanoma incidence | 0.715055 |
| U.S. deaths | 0.546714 |
| non-Hispanic whites | 0.512236 |
| CDC’s efforts | 0.532787 |
| indoor tanning behaviors | 0.583509 |
| central cancer registries | 0.622444 |
| preventable causes | 0.517901 |
| largest dermatology group | 0.627321 |
| Center New Orleans | 0.591896 |
| devastating disease | 0.517008 |
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| 6401 |
Centers for Disease Control and Prevention |
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Announcements: Rabies Postexposure Prophylaxis Online Course |
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. |
| mmwrq@cdc.gov. | 0.692605 |
| endorsement | 0.594773 |
| Human Services | 0.818675 |
| pharmacist | 0.537397 |
| assistive technology | 0.698801 |
| U.S. Department | 0.809434 |
| MMWR HTML versions | 0.804953 |
| electronic PDF version | 0.787683 |
| e-mail | 0.557144 |
| health-care | 0.538613 |
| Contact GPO | 0.704934 |
| commercial sources | 0.667867 |
| Case Illustrations | 0.677754 |
| current prices | 0.659024 |
| Maryland Department | 0.683034 |
| original paper copy | 0.785497 |
| U.S. Government Printing | 0.785831 |
| Prophylaxis | 0.54689 |
| Superintendent | 0.532155 |
| assistance | 0.530359 |
| title | 0.528533 |
| Maryland DHMH website | 0.813533 |
| MMWR readers | 0.67602 |
| character translation | 0.657262 |
|
| Guidelines | 0.528089 |
| Immunization Practices | 0.684641 |
| Advisory Committee | 0.677484 |
| file | 0.530566 |
| MMWR paper copy | 0.798467 |
| rabies virus exposure | 0.907137 |
| Persons | 0.530694 |
| public health professionals | 0.832583 |
| format errors | 0.664835 |
| subject line | 0.679523 |
| typeset documents | 0.671506 |
| trade names | 0.668025 |
| official text | 0.654746 |
| ACIP recommendations | 0.734725 |
| non-CDC sites | 0.666349 |
| Education credits | 0.671897 |
| free online course | 0.826482 |
| veterinarian | 0.52912 |
| report | 0.528507 |
| PEP | 0.560557 |
| information | 0.530593 |
| Accommodation | 0.528558 |
| electronic conversions | 0.657461 |
| printable versions | 0.652072 |
|
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| 7753 |
Centers for Disease Control and Prevention |
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CDC - Features - Sickle Cell - NCBDDD |
null |
| red blood cells | 0.665219 |
| health education | 0.457088 |
| North Carolina | 0.455576 |
| unmet health needs | 0.511265 |
| blood disorders | 0.509842 |
| complete failure | 0.458007 |
| Healthy red blood | 0.525226 |
| CDC | 0.455523 |
| sickle cells | 0.519706 |
| national surveillance | 0.459618 |
| pilot project | 0.506522 |
| sickle cell disease | 0.698854 |
| Current clinical practice | 0.505241 |
| multidisciplinary working group | 0.497817 |
| Health Promotion | 0.458587 |
| Disease Control | 0.475348 |
| following text | 0.463178 |
| British Journal | 0.522813 |
| early detection | 0.458445 |
| nonmedical professionals | 0.456013 |
| agency-wide SCD | 0.58399 |
| blood flow | 0.474087 |
| vital organs | 0.456717 |
| National Center | 0.457791 |
| renal replacement therapy | 0.509797 |
|
| evidence-based guidelines | 0.456279 |
| small blood vessels | 0.599837 |
| end-stage renal disease | 0.623035 |
| Blood Institute | 0.467122 |
| special machine | 0.459527 |
| excess water | 0.459383 |
| chronic kidney disease | 0.979902 |
| constant shortage | 0.461401 |
| red blood cell | 0.536711 |
| C-shaped farm tool | 0.513769 |
| major public health | 0.50689 |
| Medicaid Services | 0.465777 |
| unmet needs | 0.457313 |
| ESRD diagnosis | 0.554425 |
| population-based data | 0.458169 |
| New York | 0.455596 |
| Cell Disease Patients | 0.51919 |
| key findings | 0.463764 |
| kidney transplant | 0.486432 |
| people | 0.570963 |
| data collection | 0.455514 |
| Health’s National | 0.460712 |
| pre-esrd care | 0.705851 |
| SCD | 0.827511 |
|
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| 11036 |
Centers for Disease Control and Prevention |
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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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EvaluACTION | CDC Features |
Use CDC’s EvaluACTION to develop a customized evaluation plan and logic model. |
| benefits | 0.333643 |
| short introductory video | 0.623406 |
| evaluation planning process | 0.589489 |
| Start | 0.332446 |
| roles | 0.332524 |
| EvaluACTION | 0.406824 |
| range | 0.332565 |
| Don’ts | 0.354893 |
| individuals | 0.332539 |
| tools | 0.336611 |
| different stakeholders | 0.48247 |
| Interactive Evaluation Plan | 0.585202 |
| evaluation plan | 0.854357 |
| EvaluACTION—one | 0.336653 |
| things | 0.331014 |
| public health | 0.651898 |
| CDC evaluation framework | 0.618906 |
|
| Quick | 0.331052 |
| roadblocks | 0.344529 |
| interactive way | 0.456772 |
| award-winning tool | 0.487855 |
| logic model | 0.949272 |
| Communicator Award | 0.465818 |
| People | 0.333823 |
| public health programs | 0.632753 |
| refine | 0.339113 |
| user experience | 0.460455 |
| Motion Graphic Video | 0.630874 |
| public health strategies | 0.577814 |
| Outstanding Website | 0.461885 |
| organization | 0.334572 |
| organizations | 0.332513 |
| Evaluation Myths | 0.485377 |
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Centers for Disease Control and Prevention |
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Basics of Fungal Keratitis | Contact Lenses | CDC |
CDC - Protect Your Eyes: Healthy and Safe Contact Lens Cleaning and Use. Millions of people use contact lenses every day but lens cleaning practices can lead to eye infections. Hands should be washed before handling contact lenses and contacts should be properly cleaned, disinfected, and stored to ensure eye health and safety. Following your eye doctor’s recommendations and a few simple steps can lead to healthy daily contact lens use. |
| sub-tropical regions | 0.571762 |
| clear dome | 0.572692 |
| Fridkin SK | 0.563315 |
| prescription antifungal medicine | 0.634485 |
| rare condition | 0.571259 |
| Candida species | 0.571922 |
| Crowell CS | 0.565638 |
| Curr Opin Ophthalmol. | 0.6278 |
| Indian J Ophthalmol. | 0.564757 |
| tiny scraping | 0.569643 |
| three-year study | 0.568001 |
| Morb Mortal Wkly | 0.723157 |
| contact lenses | 0.704053 |
| agricultural workers | 0.565184 |
| Thomas PA | 0.564077 |
| CDC. Fusarium keratitis | 0.690654 |
| Palaniappan R. Epidemiological | 0.624883 |
| Protective eyewear | 0.564148 |
| eye doctor | 0.698669 |
| eye— especially trauma | 0.633011 |
| laboratory diagnosis | 0.56347 |
| common way | 0.569045 |
| specific type | 0.567654 |
| eye trauma | 0.58053 |
| fungal keratitis | 0.986491 |
|
| J. Mycotic keratitis | 0.650904 |
| corneal transplantation | 0.566552 |
| Clin Microbiol Infect. | 0.628458 |
| oral antifungal medications | 0.630175 |
| Bharathi MJ | 0.569105 |
| MMWR Morb Mortal | 0.723208 |
| fusarium keratitis | 0.808417 |
| milder temperatures | 0.574957 |
| Mortal Wkly Rep. | 0.705227 |
| mucous membrane | 0.575521 |
| Sneed RS | 0.567245 |
| Rao CY | 0.567864 |
| Schaffzin JK | 0.564164 |
| Fusarium Keratitis Investigation | 0.695824 |
| Aspergillus species | 0.57394 |
| Park BJ | 0.564262 |
| contact lens solution | 0.733634 |
| Wannemuehler KA | 0.564575 |
| Multistate outbreak | 0.5722 |
| protective lining | 0.567631 |
| human skin | 0.570509 |
| M. Fungal keratitis | 0.725029 |
| Jacobson LM | 0.565079 |
| vision loss | 0.571035 |
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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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