| 5506 |
Centers for Disease Control and Prevention |
Html |
en |
Trichloronaphthalene - 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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| 6729 |
Centers for Disease Control and Prevention |
Html |
en |
Notifiable Diseases and Mortality Tables - March 18, 2011 |
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. |
| H. influenzae | 0.805156 |
| dengue shock syndrome | 0.959053 |
| DHF | 0.685811 |
| Table | 0.252449 |
| DSS | 0.378009 |
|
| criteria | 0.326449 |
| ages | 0.25374 |
| severe form | 0.610671 |
| serotypes | 0.253256 |
|
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| 8086 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Preventable Hospitalizations for Hypertension: Establishing a Baseline for Monitoring Racial Differences in Rates - CDC |
Preventable hospitalization for hypertension is an ambulatory care–sensitive condition believed to indicate the failure of outpatient and public health systems to prevent and control hypertension. |
| hospitals | 0.438143 |
| data | 0.622942 |
| National Hospital Discharge | 0.50394 |
| blacks | 0.557971 |
| non-Hispanic black women | 0.430994 |
| whites | 0.558993 |
| health care reform | 0.436131 |
| non-Hispanic white counterparts | 0.423451 |
| national data | 0.423427 |
| public health systems | 0.431695 |
| recent national data | 0.41831 |
| higher hospitalization rates | 0.462282 |
| hospital discharge rates | 0.449813 |
| dangerously uncontrolled hypertension | 0.470616 |
| hypertension hospitalization rates | 0.527983 |
| precise estimates | 0.449886 |
| racial differences | 0.563912 |
| preventable hospitalizations | 0.701196 |
| hypertension prevalence | 0.434458 |
| Affordable Care Act | 0.515298 |
| health care costs | 0.44536 |
| population | 0.468787 |
| white women | 0.496949 |
| non-Hispanic black men | 0.482119 |
| pre-PPACA baseline rates | 0.546232 |
|
| NCHS Research Ethics | 0.420876 |
| higher rates | 0.583612 |
| black women | 0.436299 |
| quality health care | 0.457192 |
| hypertension treatment | 0.432229 |
| United States | 0.704442 |
| unweighted response rate | 0.475858 |
| proportionately higher rates | 0.446434 |
| Hospital Discharge Survey | 0.503526 |
| hypertension admission rate | 0.490195 |
| sex-standardized rates | 0.475607 |
| health care | 0.678531 |
| higher crude rates | 0.593343 |
| non-Hispanic white men | 0.483496 |
| public health | 0.471084 |
| Healthcare Research | 0.466221 |
| Introduction
Preventable hospitalization | 0.446445 |
| good-quality health care | 0.608728 |
| health care systems | 0.438787 |
| representative hospitalization database | 0.416738 |
| rates | 0.867119 |
| major diagnostic category | 0.46927 |
| confidence intervals | 0.55228 |
| hospitalizations | 0.977319 |
|
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| 11373 |
Centers for Disease Control and Prevention |
Html |
en |
Reproductive Health - How You Can Be Exposed to Job Hazards |
null |
| chemical exposures | 0.548404 |
| prenatal care visits | 0.603944 |
| Med Womens Assoc | 0.600864 |
| work hazards home | 0.78973 |
| McDiarmid M. Birth | 0.607144 |
| obvious exposures | 0.564897 |
| Teratology Information Specialists | 0.610077 |
| workplace hazards | 0.973883 |
| occupational health physician | 0.606847 |
| change jobs | 0.519813 |
| home renovation | 0.524661 |
| personal protective equipment | 0.832655 |
| patients | 0.77099 |
| pregnancy | 0.534512 |
| Occupational Exposures | 0.527134 |
| important source | 0.517061 |
| work schedule | 0.567302 |
| job tasks | 0.785526 |
| sex hormone production | 0.626157 |
| simple questions | 0.519537 |
| harmful chemicals home | 0.658178 |
| pregnant worker | 0.637 |
| workplace reproductive hazards | 0.739415 |
| Reproductive Health | 0.515314 |
|
| usual job tasks | 0.785129 |
| night shifts | 0.654627 |
| Teratology Society Meeting | 0.60606 |
| rapid development | 0.515138 |
| long periods | 0.529496 |
| especially children | 0.525353 |
| breastfeeding worker | 0.56149 |
| specific job tasks | 0.627563 |
| sexual function | 0.532732 |
| lung capacity | 0.513396 |
| reduced general health | 0.63724 |
| home contamination | 0.524898 |
| work clothes | 0.62281 |
| rate women | 0.518123 |
| Occupational exposure limits | 0.614831 |
| sexual partners | 0.525539 |
| separate laundry loads | 0.591362 |
| Workplace exposures | 0.58016 |
| simple steps | 0.53007 |
| lab coats | 0.520314 |
| common workplace hazards | 0.740468 |
| workers change clothes | 0.630514 |
| Dev Reprod Toxicol | 0.604205 |
| worker safety | 0.553841 |
|
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| 11510 |
Centers for Disease Control and Prevention |
Html |
en |
NCIRD | Branches | Org Chart | Vaccines and Respiratory Diseases |
null |
| MPEG | 0.741242 |
| site | 0.541063 |
| PDF | 0.544429 |
|
|
CLICK HERE |
| 12343 |
Centers for Disease Control and Prevention |
Html |
en |
ACIP Recommended Immunization Schedules |
CDC official immunization schedules for children, preteens, teens, and adults for health care professionals, parents, and the general public. |
| smartphone | 0.564636 |
| vaccines | 0.514195 |
| office visit | 0.873031 |
| Infants | 0.455797 |
| easy-to-read adult schedule | 0.876401 |
| quick quiz | 0.608219 |
| tools | 0.444566 |
| printable formats | 0.643601 |
| various sizes | 0.637294 |
| ways | 0.444395 |
| load | 0.461511 |
| friendly schedule | 0.603544 |
| instant schedule | 0.61696 |
|
| Children | 0.444957 |
| MMWR | 0.44923 |
| doctor visit | 0.64377 |
| binational resource | 0.702314 |
| regular paper | 0.669426 |
| birth | 0.444887 |
| screening form | 0.620836 |
| pocket size | 0.673899 |
| Teens | 0.446548 |
| various formats | 0.634688 |
| Preteens | 0.476253 |
| easy-to-read formats | 0.920911 |
| printable versions | 0.68589 |
|
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| 12889 |
Centers for Disease Control and Prevention |
Html |
en |
Updated Estimates of Flu Vaccine Effectiveness for the 2014-2015 Season |
Vaccine Effectiveness 2014-15 - CDC |
| Influenza activity | 0.411411 |
| overall VE estimate | 0.348438 |
| CDC | 0.258541 |
| two-thirds | 0.233237 |
| fact | 0.225463 |
| Mortality Weekly Report | 0.479914 |
| proportion | 0.266042 |
| data | 0.245547 |
| United States | 0.327844 |
| age group | 0.318756 |
| study sites | 0.334541 |
| small effect | 0.323121 |
| vaccine production | 0.415594 |
| insufficient samples | 0.332579 |
| immune status | 0.341848 |
| early VE estimates | 0.384548 |
| Possible explanations | 0.318332 |
| practical terms | 0.329169 |
| point | 0.254615 |
| Final estimates | 0.375379 |
| result | 0.226959 |
| conclusion | 0.226156 |
| Immunization Practices | 0.35907 |
|
| number | 0.226536 |
| vaccine virus | 0.412758 |
| Advisory Committee | 0.356454 |
| U.S. | 0.252337 |
| vaccine viruses | 0.691653 |
| similarity | 0.229358 |
| ACIP | 0.241358 |
| season | 0.522444 |
| interim influenza | 0.460311 |
| Flu VE Network | 0.387782 |
| Reduced protection | 0.339353 |
| estimates | 0.409516 |
| MMWR | 0.228593 |
| one-third | 0.232947 |
| mid-January | 0.232722 |
| H3N2 viruses | 0.92713 |
| flu illness | 0.378945 |
| health | 0.226418 |
| medical care | 0.328628 |
| Morbidity | 0.233916 |
| influenza A H3N2 | 0.450444 |
| influenza viruses | 0.815421 |
| person | 0.251373 |
|
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| 13467 |
Centers for Disease Control and Prevention |
Html |
en |
Prevent Shingles | CDC Features |
Shingles causes a painful, blistering skin rash. Almost 1 out of 3 people in the United States will develop shingles during their lifetime. Your risk of shingles increases as you get older. If you are 60 years of age or older get vaccinated against shingles. |
| CDC | 0.322909 |
| pharmacist | 0.329184 |
| lifetime | 0.328582 |
| recommendation | 0.311295 |
| body | 0.311864 |
| VZV | 0.351576 |
| shingles | 0.911286 |
| eye complications | 0.361187 |
| shingles cases | 0.513648 |
| shopping | 0.312124 |
| knowledge | 0.311415 |
| herpes zoster | 0.36925 |
| shingles vaccine | 0.748012 |
| weight loss | 0.358514 |
| difficulty | 0.311884 |
| anxiety | 0.311396 |
| condition | 0.312166 |
| common complication | 0.367744 |
| bathing | 0.313166 |
| person | 0.350523 |
| kidney stones | 0.361364 |
| single dose | 0.35643 |
| PHN increases | 0.359789 |
| United States | 0.369527 |
| Vaccination | 0.311247 |
|
| adults | 0.324752 |
| childbirth | 0.311773 |
| healthcare | 0.311401 |
| shingles increases | 0.555761 |
| prevention tips | 0.356814 |
| America | 0.311735 |
| quiz | 0.311424 |
| pain | 0.375906 |
| to— | 0.312383 |
| Talk | 0.324054 |
| people | 0.429982 |
| skin rash | 0.440277 |
| doctor | 0.324039 |
| burning | 0.312022 |
| disease facts | 0.353297 |
| chickenpox | 0.351033 |
| prescription | 0.311264 |
| activities | 0.312156 |
| varicella zoster virus | 0.415057 |
| postherpetic neuralgia | 0.370775 |
| vision loss | 0.357794 |
| risk | 0.342064 |
| appetite | 0.313674 |
| travel | 0.312116 |
|
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| 14063 |
Centers for Disease Control and Prevention |
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Inadequate Diagnosis and Treatment of Malaria AmongTravelers Returning from Africa During the Ebola Epidemic - UnitedStates, 2014-2015 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| red blood cells | 0.507753 |
| CDC | 0.561713 |
| Malaria evaluation | 0.633302 |
| positive malaria test | 0.608465 |
| Ebola.** Because malaria | 0.607972 |
| Ebola virus | 0.581322 |
| Ebola outbreak | 0.523362 |
| Ebola transmission | 0.545897 |
| malaria testing | 0.776709 |
| health care providers | 0.518797 |
| malaria smear | 0.622631 |
| negative Ebola RT-PCR | 0.536185 |
| febrile travelers | 0.534454 |
| rapid diagnostic test | 0.538313 |
| malaria consultation service | 0.64042 |
| malaria smears | 0.631647 |
| possible Ebola exposure | 0.543204 |
| endemic malaria | 0.586656 |
| laboratory | 0.497831 |
| Ebola infection control | 0.530684 |
| Ebola | 0.745618 |
| prompt malaria testing | 0.650815 |
| febrile persons | 0.5105 |
| empiric malaria treatment | 0.63668 |
| Ebola virus disease | 0.551346 |
|
| Ebola epidemic | 0.594127 |
| severe malaria | 0.744708 |
| United States | 0.710685 |
| empiric treatment | 0.581902 |
| blood smear microscopy | 0.838295 |
| fever | 0.501446 |
| malaria | 0.990239 |
| infected red blood | 0.509151 |
| Ebola cases | 0.527531 |
| immediate malaria testing | 0.641873 |
| antimalarial treatment | 0.50636 |
| state health department | 0.512029 |
| Malaria parasites | 0.6113 |
| malaria microscopy services | 0.628043 |
| malaria diagnosis | 0.686229 |
| Malaria Branch | 0.607352 |
| Ebola RT-PCR results | 0.549137 |
| health department | 0.523405 |
| ongoing Ebola virus | 0.54262 |
| Malaria cases | 0.633894 |
| current malaria | 0.58377 |
| hospital staff members | 0.56057 |
| malaria PCR test | 0.630643 |
| Malaria conducts malaria | 0.807696 |
|
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| 15294 |
Centers for Disease Control and Prevention |
Html |
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Update on Canine Influenza (Dog Flu) Outbreak Reported in Chicago Area |
Canine Influenza (Dog Flu) Outbreak in Chicago Area - CDC |
| contagious respiratory disease | 0.316345 |
| CDC | 0.236102 |
| dog flu virus | 0.549363 |
| runny nose | 0.261052 |
| Animal Diagnostic Laboratory | 0.412476 |
| human health | 0.301955 |
| virus isolate | 0.336486 |
| South Korea | 0.24952 |
| Animal studies | 0.254618 |
| Disease Control | 0.257207 |
| dog-specific lineage | 0.250203 |
| human health risk | 0.296506 |
| dogs | 0.367059 |
| U.S. dog populations | 0.323729 |
| dog flu | 0.995498 |
| National Veterinary Services | 0.306697 |
| press release | 0.265029 |
| rapid complete characterization | 0.30455 |
| New York State | 0.424039 |
| Cornell University | 0.263073 |
| influenza A H3N2 | 0.447602 |
| State Animal Diagnostic | 0.4158 |
| influenza A H3N8 | 0.542995 |
| H3N2 virus | 0.49121 |
| H3N2 dog flu | 0.399126 |
|
| United States | 0.256084 |
| Wisconsin Veterinary Diagnostic | 0.306665 |
| dog flu viruses | 0.596596 |
| additional analysis | 0.258551 |
| York State Animal | 0.419125 |
| signs | 0.226492 |
| H3N8 dog flu | 0.395943 |
| current outbreak | 0.271542 |
| companion animal species | 0.299871 |
| dog flu outbreak | 0.39978 |
| canine influenza | 0.834646 |
| avian influenza virus | 0.433861 |
| Chicago area | 0.265084 |
| people | 0.220135 |
| H3N8 viruses | 0.30975 |
| dog flu infections | 0.384135 |
| human infections | 0.309462 |
| vaccine | 0.221128 |
| horse influenza virus | 0.440617 |
| cats | 0.219385 |
| sequencing information | 0.252629 |
| dog flu infection | 0.401311 |
| severe illness | 0.259178 |
| canine influenza viruses | 0.720355 |
|
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