| 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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| 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 |
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| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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| 7408 |
Centers for Disease Control and Prevention |
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History of U.S. Chemical Weapons Elimination |
The Centers for Disease Control and Prevention provides independent oversight to the U.S. chemical weapons elimination program. This page includes the history of U.S. chemical weapons elimination. |
| bulk containers | 0.378254 |
| lethal chemical warfare | 0.480046 |
| u.s. chemical warfare | 0.499422 |
| old ships | 0.341583 |
| United States | 0.608295 |
| Nonstockpile chemical warfare | 0.499125 |
| small remote island | 0.371374 |
| Human Services | 0.343413 |
| Blister Agents | 0.35904 |
| Sanctuaries Act | 0.342831 |
| weapons demilitarization program | 0.402891 |
| chemical weapons—principally mustard | 0.396898 |
| continental United States | 0.382577 |
| chemical warfare agents | 0.976985 |
| final destruction deadline | 0.37381 |
| WWI-era chemical munitions | 0.397515 |
| U.S. weapons | 0.377918 |
| Disease Control | 0.342076 |
| unwanted chemical warfare | 0.459591 |
| Public Law | 0.346172 |
| U.S. stockpiles | 0.350805 |
| Operation Cut Holes | 0.376859 |
| Nerve Agents | 0.36454 |
| lethal chemical agents | 0.475337 |
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| chemical warfare materiel | 0.444261 |
| World War | 0.348204 |
| public’s health | 0.350086 |
| Marine Protection | 0.342266 |
| Sink ‘Em | 0.34415 |
| National Center | 0.341838 |
| Chemical Weapons Convention | 0.473435 |
| chemical warfare items | 0.449033 |
| Environmental Health | 0.346627 |
| similar weapons | 0.375144 |
| U.S. national stockpile | 0.403824 |
| DoD plans | 0.354387 |
| States Parties | 0.345833 |
| chemical weapons | 0.544176 |
| nerve agents—by | 0.340639 |
| Surgeon General | 0.341777 |
| Chemical Warfare Agent | 0.441026 |
| environmental concern | 0.342106 |
| mobile equipment | 0.340597 |
| International Chemical Weapons | 0.420487 |
| chemical agent identification | 0.399433 |
| Operation CHASE | 0.3411 |
| Non-Stockpile Chemical Materiel | 0.399677 |
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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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| 7862 |
Centers for Disease Control and Prevention |
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Health Communication - Research and Evaluation |
Gateway to Health Communication - Research and Evaluation |
| global health policy | 0.680386 |
| abreast | 0.451604 |
| sources | 0.427278 |
| Information | 0.445134 |
| latest communication science | 0.709186 |
| research | 0.481239 |
| government | 0.426335 |
| pages | 0.425802 |
| Institute | 0.426609 |
| public | 0.426129 |
| KB | 0.441933 |
| major health care | 0.683224 |
| About… Evaluation Planning | 0.683579 |
|
| social marketing campaigns | 0.754494 |
| nonprofit organization | 0.562061 |
| effectiveness | 0.437178 |
| Kaiser Family Foundation | 0.903954 |
| private operating foundation | 0.682838 |
| U.S. role | 0.550056 |
| decision makers | 0.56274 |
| new approaches | 0.57351 |
| Medicine | 0.426575 |
| health communication | 0.704798 |
| success | 0.454629 |
| authoritative advice | 0.571874 |
| time | 0.430072 |
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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 |
|
| 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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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 |
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| 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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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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| 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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| 16156 |
Centers for Disease Control and Prevention |
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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 |
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| boy scouts | 0.742085 |
| Archivo Microsoft | 0.982742 |
| Embajadores Juveniles | 0.752186 |
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