| 4436 |
Centers for Disease Control and Prevention |
Html |
en |
Diseases & Conditions A-Z Index - Y |
CDC Diseases and Conditions A-Z Index |
| MPEG | 0.741242 |
| site | 0.541063 |
| PDF | 0.544429 |
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CLICK HERE |
| 5824 |
Centers for Disease Control and Prevention |
Html |
en |
Antimony - 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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| 7593 |
Centers for Disease Control and Prevention |
Html |
en |
Basic TB Facts - What to Do If You Have Been Exposed To TB |
Centers for Disease Control and Prevention, Division of Tuberculosis Elimination |
| sings | 0.217252 |
| reason | 0.213644 |
| TB skin test | 0.529006 |
| active bacteria | 0.3095 |
| coworkers | 0.216572 |
| TB disease | 0.935064 |
| air | 0.215376 |
| body | 0.213127 |
| point | 0.213129 |
| local health department | 0.326075 |
| nurse | 0.214112 |
| lungs | 0.218568 |
| active TB disease | 0.728065 |
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| TB bacteria | 0.856554 |
| TB infection | 0.452138 |
| family members | 0.263029 |
| TB Prevention | 0.456998 |
| people | 0.273743 |
| sneezes | 0.215292 |
| TB | 0.965007 |
| doctor | 0.229572 |
| persons | 0.213544 |
| person | 0.254784 |
| speaks | 0.216061 |
| time | 0.247228 |
| special TB blood | 0.532465 |
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| 8594 |
Centers for Disease Control and Prevention |
Html |
en |
PanFlu Storybook - In Memorial, Arthur and Julienne Scoltic Valley and Loretta Carmel Crowley |
In Memorial, To date, October 1918 remains the deadliest month in U.S. history when approximately 200,000 Americans died of the flu. Healthy, young adults (average age 35 years) began coughing in the morning and were dead by the evening. The family stories described in this section define true courage amid unbearable loss. |
| City Hospital | 0.538879 |
| Julienne′s aunt | 0.542639 |
| Arthur | 0.970688 |
| hospital administrator | 0.536596 |
| large numbers | 0.538149 |
| brief illness | 0.636514 |
| original letters | 0.536244 |
| dear Jewel | 0.537442 |
| Ogdensburg newspaper | 0.755609 |
| Charles Parker | 0.546253 |
| Grey Nuns | 0.535224 |
| mother′s family | 0.532324 |
| dear little Kathleen | 0.66511 |
| Buffalo | 0.706387 |
| deep regret | 0.529737 |
| father′s older sister | 0.640321 |
| Kathy Parker | 0.549651 |
| congenital heart defect | 0.647356 |
| mother′s sister | 0.532948 |
| dry goods merchant | 0.647082 |
| family photographs | 0.53126 |
| Kathleen Valley–Parker | 0.572188 |
| Julia Nisell Scoltic | 0.634682 |
| following headline | 0.530018 |
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| religious order | 0.542556 |
| Sister St. Stephen | 0.669203 |
| Thousand Islands | 0.549367 |
| small town | 0.554038 |
| St. Lawrence River | 0.67247 |
| typhoid pneumonia | 0.560495 |
| Julienne | 0.97818 |
| Julienne′s sister | 0.53495 |
| father′s brother Edmund | 0.625062 |
| paternal grandmother | 0.698165 |
| Loretta Carmel Crowley | 0.696733 |
| New York | 0.820964 |
| father′s mother | 0.692264 |
| Art Tyo | 0.535247 |
| maternal grandparents | 0.562006 |
| Sacred Heart | 0.540669 |
| Julienne Scoltic–Valley | 0.783879 |
| father′s time | 0.537805 |
| Ogdensburg | 0.78158 |
| nursing school | 0.542864 |
| well–known family | 0.547654 |
| young daughter | 0.53622 |
| time Arthur | 0.656055 |
| Mrs. Arthur G. | 0.752663 |
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| 10628 |
Centers for Disease Control and Prevention |
Html |
en |
PRC Online Health Program, WebEase©, on the Leading Edge of Technology |
null |
| Emory University Prevention | 0.380132 |
| Emory University | 0.503392 |
| researcher Colleen DiIorio | 0.347909 |
| online epilepsy self-management | 0.557469 |
| Emory PRC colleagues | 0.372984 |
| people | 0.348671 |
| epilepsy self-management | 0.942604 |
| WebEase application | 0.201117 |
| one-on-one epilepsy management | 0.471188 |
| motivational interviewing techniques | 0.283105 |
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| Epilepsy Foundation | 0.47045 |
| Web Epilepsy | 0.403834 |
| Emory mobile applications | 0.341988 |
| Epilepsy Program | 0.409938 |
| Internet video connection | 0.308582 |
| early mobile health | 0.270371 |
| evidence-based online program | 0.317929 |
| mobile devices | 0.29744 |
| epilepsy self-management program | 0.843819 |
| Dr. DiIorio | 0.981613 |
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CLICK HERE |
| 10669 |
Centers for Disease Control and Prevention |
Html |
en |
Conjunctivitis: Clinical Definition |
Information for healthcare professionals on the causes of viral, bacterial, and allergic conjunctivitis. |
| Acute hemorrhagic conjunctivitis | 0.693276 |
| global cause | 0.462031 |
| infectious tears | 0.455233 |
| additional symptoms | 0.492773 |
| respiratory discharges | 0.455078 |
| viral conjunctivitis | 0.744612 |
| viral rash illnesses | 0.497618 |
| indicated therapy | 0.455546 |
| infectious virus | 0.468522 |
| Epstein-Barr virus | 0.463972 |
| purulent discharge | 0.456303 |
| following viruses | 0.456079 |
| hand-to-eye contact | 0.497028 |
| Allergic conjunctivitis | 0.625403 |
| Acute bacterial conjunctivitis | 0.777999 |
| U.S. Preventive Services | 0.477349 |
| Topical antimicrobial therapy | 0.482298 |
| Elk Grove Village | 0.477957 |
| bloody discharge | 0.454678 |
| large respiratory tract | 0.573109 |
| Common cause | 0.466 |
| Chlamydia trachomatis | 0.54507 |
| Rubella virus | 0.471321 |
| contact lens | 0.462763 |
| herpes simplex virus | 0.585115 |
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| mild prolonged course | 0.481919 |
| close contact | 0.460235 |
| chlamydia conjunctivitis | 0.662139 |
| Chlamydia trachomatis subtypes | 0.514572 |
| Varicella-zoster virus | 0.464123 |
| cause bacterial conjunctivitis | 0.727802 |
| infectious mononucleosis | 0.458428 |
| hyperacute conjunctivitis | 0.625544 |
| respiratory tract droplets | 0.580448 |
| infectious disease practitioner | 0.486058 |
| respiratory infection | 0.461802 |
| Common cold | 0.454641 |
| conjunctivitis | 0.982327 |
| Mauger T. Diagnosis | 0.482508 |
| erythromycin ophthalmic ointment | 0.481157 |
| chronic follicular conjunctivitis | 0.665473 |
| common causes | 0.46409 |
| bacterial conjunctivitis | 0.949042 |
| Høvding G. Acute | 0.481922 |
| eye discharge | 0.465162 |
| eye contact | 0.460067 |
| vial conjunctivitis | 0.67522 |
| adenovirus serotypes | 0.4925 |
| Gonococcal conjunctivitis | 0.625055 |
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| 12308 |
Centers for Disease Control and Prevention |
Html |
en |
Seasonal Influenza Vaccine Effectiveness, 2005-2015 |
Seasonal Influenza Vaccine Effectiveness, 2005-2015 - CDC |
| seasonal flu vaccination | 0.617034 |
| public health intervention | 0.524333 |
| Donahue JG,et al | 0.516913 |
| McLean HQ | 0.512031 |
| respiratory illness visits | 0.51033 |
| inactivated influenza vaccines | 0.588712 |
| laboratory-confirmed influenza infections | 0.587245 |
| flu vaccines | 0.555266 |
| Thompson MG | 0.509489 |
| laboratory-confirmed flu | 0.543552 |
| prior vaccination | 0.467838 |
| observational studies | 0.530055 |
| Flu VE Network | 0.567234 |
| seasonal influenza vaccines | 0.56562 |
| Network sites measure | 0.517249 |
| Flu Vaccine Effectiveness | 0.709462 |
| 534-543. doi | 0.480342 |
| laboratory-confirmed influenza infection | 0.585646 |
| Kieke BA | 0.51536 |
| study design | 0.470789 |
| Jackson ML | 0.511121 |
| Clin Infect Dis. | 0.510665 |
| 319-27. doi | 0.47942 |
| vaccine effectiveness | 0.94952 |
| Belongia EA | 0.654737 |
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| influenza vaccine effectiveness | 0.841578 |
| Infect Dis. | 0.582357 |
| Epub | 0.504238 |
| 159-67. doi | 0.48705 |
| Print-friendly Version PDF | 0.516671 |
| doi | 0.489002 |
| Petrie JG | 0.525021 |
| United States | 0.576742 |
| 6558-63. doi | 0.486418 |
| accurate lab test | 0.512915 |
| Ohmit SE | 0.572181 |
| laboratory-confirmed influenza | 0.603391 |
| acute respiratory illness | 0.704026 |
| Study results | 0.470228 |
| non-adjuvanted pandemic influenza | 0.575101 |
| outpatient medical visits | 0.51207 |
| vaccine strains | 0.502456 |
| influenza seasons | 0.529258 |
| ACIP meeting | 0.466362 |
| Nowalk MP | 0.515067 |
| e23085. doi | 0.48362 |
| et al | 0.636028 |
| flu season | 0.581918 |
| PMID | 0.470761 |
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| 12724 |
Centers for Disease Control and Prevention |
Video |
en |
Why Surveillance Matters |
No country is absolutely safe from disease, even deadly diseases not found in the US. Vigilance is needed and that's why CDC works 24/7 to protect America's Health Security.
Comments on this video are allowed in accordance with our comment policy: http://www.cdc.gov/SocialMedia/Tools/CommentPolicy.html
This video can also be viewed at http://streaming.cdc.gov/vod.php?id=8cd51ff603806c6a5ecadd975d66757d20131209111531484 |
| Surveillance Matters | 0.937221 |
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CLICK HERE |
| 13833 |
Centers for Disease Control and Prevention |
Html |
en |
Announcement: World Pneumonia Day - November 12,2015 |
November 12, 2015, is the seventh annual World Pneumonia Day, observed to raise awareness and promote interventions to protect against, treat, and prevent pneumonia, which continues to be a global public health concern. Each year approximately 900,000 children aged <5 years die from pneumonia worldwide; 70% of childhood pneumonia hospitalizations in the United States are in this age group (1,2). Pneumonia is also a leading infectious cause of hospitalization and death among U. |
| pneumonia worldwide | 0.861172 |
| Diarrhea Progress Report | 0.718002 |
| Human Services | 0.719729 |
| Wier LM | 0.628346 |
| Engl J Med | 0.631207 |
| U.S. Department | 0.722448 |
| MMWR HTML versions | 0.71333 |
| childhood pneumonia hospitalizations | 0.981201 |
| Statistical Brief No. | 0.712238 |
| post-2015 priorities | 0.619019 |
| electronic PDF version | 0.700959 |
| U.S. children | 0.64176 |
| future pneumonia-related deaths | 0.730787 |
| additional information | 0.737977 |
| national governments | 0.620808 |
| new Pneumonia | 0.823523 |
| diagnostic tests | 0.625108 |
| Contact GPO | 0.634933 |
| U.S. government agencies | 0.747261 |
| hospital stays | 0.61791 |
| hospital expenses | 0.633892 |
| national causes | 0.620852 |
| global partners | 0.632642 |
| private sector | 0.616052 |
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| global public health | 0.77378 |
| original paper copy | 0.706134 |
| medical conditions | 0.625533 |
| supportive care | 0.621812 |
| infectious cause | 0.624793 |
| United States | 0.744619 |
| U.S. Government Printing | 0.726354 |
| original MMWR paper | 0.709727 |
| age group | 0.634798 |
| Global Health Security | 0.745639 |
| Steiner C. Costs | 0.705236 |
| better access | 0.62408 |
| MMWR readers | 0.621741 |
| child mortality | 0.619566 |
| concerted efforts | 0.62632 |
| Healthcare Research | 0.616987 |
| U.S. adults | 0.657631 |
| Ongoing research | 0.618968 |
| civil society | 0.623583 |
| Community-acquired pneumonia | 0.825866 |
| appropriate antimicrobial therapy | 0.727395 |
| et al | 0.729211 |
| international community | 0.623658 |
| systematic analysis | 0.615739 |
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| 15693 |
Centers for Disease Control and Prevention |
Html |
en |
Incidence of Neonatal Abstinence Syndrome - 28 States,1999-2013 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| overall incidence | 0.430912 |
| state Medicaid programs | 0.383245 |
| NAS surveillance | 0.431013 |
| linear trends | 0.40388 |
| state-specific NAS incidence | 0.639761 |
| logistic regression | 0.3796 |
| drug withdrawal syndrome | 0.483839 |
| state in-hospital births | 0.425803 |
| NAS incidence | 0.903461 |
| opioid use disorder | 0.421771 |
| prescription drug monitoring | 0.411229 |
| acute care hospital | 0.417033 |
| public health practice | 0.378825 |
| Incidence rate numerator | 0.421587 |
| Medicaid programs | 0.385496 |
| hospital inpatient delivery | 0.384944 |
| opioid prescribing rates | 0.414201 |
| overall incidence rate | 0.429825 |
| euphoric opioid | 0.385798 |
| NAS cases | 0.57165 |
| United States | 0.408509 |
| in-hospital births | 0.425975 |
| overall NAS incidence | 0.558725 |
| states | 0.486292 |
| NAS incidence rates | 0.712832 |
|
| West Virginia | 0.465116 |
| hospital inpatient discharges | 0.38276 |
| hospital births | 0.786745 |
| annual incidence rate | 0.542352 |
| State Inpatient Databases | 0.64995 |
| public health | 0.466087 |
| postnatal drug withdrawal | 0.424597 |
| Utilization Project | 0.390226 |
| incidence rate change | 0.430526 |
| incidence rate denominator | 0.420307 |
| hospital administrative data | 0.38103 |
| public health programs | 0.378018 |
| opioid use disorders | 0.376798 |
| incidence rate changes | 0.488025 |
| de-identified administrative data | 0.418027 |
| opioid epidemic | 0.376024 |
| state-specific NAS estimates | 0.466543 |
| Chronic Disease Prevention | 0.387895 |
| opioid medications | 0.391776 |
| drug monitoring programs | 0.414485 |
| utero opioid exposure | 0.412773 |
| Neonatal abstinence syndrome | 0.421887 |
| opioid therapy | 0.376799 |
| NAS-related annual hospital | 0.375287 |
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