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Centers for Disease Control and Prevention |
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Announcements: National Preparedness Month - September2014 |
Throughout September, approximately 3,000 organizations will participate in activities in support of National Preparedness Month. CDC supports this initiative by partnering with national, regional, state, and local government agencies, as well as private and public organizations, to encourage persons to take part in preparedness efforts at home, school, and throughout their communities. |
| unpredictable nature | 0.57267 |
| personal preparedness | 0.665792 |
| CDC | 0.618787 |
| endorsement | 0.480148 |
| health emergency planning | 0.712196 |
| U.S. Government Printing | 0.681999 |
| original MMWR paper | 0.674875 |
| public organizations | 0.594083 |
| Human Services | 0.701401 |
| economic disadvantage | 0.583589 |
| Bartenfeld MT | 0.554212 |
| unique considerations | 0.56159 |
| medical issues | 0.56969 |
| National Preparedness | 0.698205 |
| U.S. Department | 0.696088 |
| MMWR HTML versions | 0.680575 |
| MMWR readers | 0.561155 |
| character translation | 0.548607 |
| literacy differences | 0.564217 |
| Griese SE | 0.575953 |
| electronic PDF version | 0.669109 |
| public health emergency | 0.964863 |
| vulnerable populations | 0.946434 |
| format errors | 0.549974 |
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| Additional information | 0.562055 |
| disasters | 0.462852 |
| preparedness efforts | 0.690202 |
| Contact GPO | 0.58292 |
| Biosecur Bioterror | 0.582328 |
| typeset documents | 0.556731 |
| trade names | 0.556827 |
| commercial sources | 0.556707 |
| local government agencies | 0.737069 |
| paper copy | 0.689619 |
| right choices | 0.563963 |
| official text | 0.54668 |
| unique needs | 0.566713 |
| Public Health Preparedness | 0.870632 |
| current prices | 0.550111 |
| non-CDC sites | 0.554191 |
| emergency preparedness | 0.663453 |
| original paper copy | 0.67689 |
| response | 0.455509 |
| various tools | 0.567218 |
| messages | 0.453794 |
| electronic conversions | 0.545792 |
| printable versions | 0.541693 |
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Diisopropylamine - 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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Centers for Disease Control and Prevention |
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Antimony - 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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Centers for Disease Control and Prevention |
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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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Centers for Disease Control and Prevention |
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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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Surveillance for Foodborne Disease Outbreaks — UnitedStates, 2009–2010 |
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. |
| illnesses | 0.392947 |
| Population-based outbreak | 0.35594 |
| L. Hannah Gould | 0.361628 |
| Foodborne Outbreak Online | 0.39142 |
| disease outbreak reporting | 0.374175 |
| outbreak-related illnesses | 0.381287 |
| foodborne illnesses | 0.385058 |
| STEC O121 | 0.355005 |
| multiple etiologies percentages | 0.364547 |
| disease outbreak surveillance | 0.482583 |
| foodborne disease outbreaks | 0.804985 |
| total etiology percentages | 0.385779 |
| foodborne disease outbreak | 0.560935 |
| etiology category total | 0.386333 |
| public health officials | 0.366045 |
| food industry professionals | 0.377879 |
| major etiology group | 0.357579 |
| Salmonella serotype Enteritidis | 0.378762 |
| multistate outbreaks | 0.519808 |
| etiologic agent | 0.550415 |
| nonfoodborne norovirus outbreaks | 0.480962 |
| outbreaks | 0.97678 |
| foodborne outbreaks | 0.518039 |
| Puerto Rico | 0.374706 |
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| etiology total | 0.377025 |
| United States | 0.359086 |
| shellfish poisoning outbreaks | 0.487037 |
| dairy-associated outbreaks | 0.471185 |
| safe food-handling practices | 0.374077 |
| public health | 0.39657 |
| unpasteurized dairy products | 0.393841 |
| suspected outbreaks | 0.494016 |
| food vehicle | 0.434635 |
| laboratory-confirmed etiologic agent | 0.358615 |
| unknown etiology | 0.384842 |
| single confirmed etiologic | 0.394453 |
| average annual rate | 0.393349 |
| Outbreaks identifying foods | 0.494533 |
| foodborne norovirus outbreaks | 0.508444 |
| single-etiology outbreaks | 0.513676 |
| waterborne outbreaks | 0.464065 |
| National Outbreak Reporting | 0.368714 |
| Thirty-eight multistate outbreaks | 0.48787 |
| sporadic foodborne illnesses | 0.372799 |
| Salmonella outbreaks | 0.496511 |
| STEC O157 | 0.474071 |
| fewer foodborne disease | 0.367105 |
| outbreak surveillance data | 0.365094 |
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CDC - Key Programs - DFWED - NCEZID |
Division of Foodborne, Waterborne, and Environmental Diseases homepage (DFWED). DFWED is part of the National Center for Emerging and Zoonotic Infectious Diseases. |
| list Skip | 0.795745 |
| Environmental Diseases | 0.409105 |
| waterborne | 0.337584 |
| foodborne | 0.31724 |
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| page options Skip | 0.980215 |
| fungal diseases | 0.426398 |
| navigation Skip | 0.811486 |
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Centers for Disease Control and Prevention |
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Email Updates: June 4, 2012'Clinicians Outreach and Communication Activity (COCA) |
CDC Clinician Outreach and Communication Activity (COCA). Providing clinicians the most current and reliable information on emerging public health threats, such as pandemics, natural disasters, and bioterrorism. |
| National Hurricane Preparedness | 0.685842 |
| CDC | 0.973809 |
| personal hurricane plan | 0.561355 |
| Annual Institute | 0.60289 |
| Public Health Nurses | 0.597022 |
| – (CDC) | 0.668799 |
| CDC Science Clips | 0.758284 |
| Additional COCA Conference | 0.671341 |
| Plant Health Inspection | 0.559863 |
| Free CE credit/contact | 0.541338 |
| Weekly Flu View | 0.522972 |
| on-demand emergency preparedness | 0.580313 |
| COCA subscribers | 0.595235 |
| century public health | 0.602914 |
| Current Travel Warnings | 0.524058 |
| public health events | 0.592933 |
| community/public health nurse | 0.580594 |
| emergency preparedness | 0.627423 |
| Adult Preparedness Portal | 0.582748 |
| COCA Call Announcements | 0.599963 |
| Community Health Nursing | 0.595628 |
| coca e-mail distribution | 0.764804 |
| CDC Health Alert | 0.825536 |
| Terrorism Update Listserv | 0.545689 |
| CDC Releases | 0.686748 |
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| COCA partners | 0.582704 |
| COCA Email Update | 0.666236 |
| human salmonella infections | 0.610923 |
| public health community | 0.606796 |
| cross-sector preparedness guide | 0.58549 |
| CDC-Clinician Terrorism | 0.528637 |
| African American community | 0.52691 |
| CDC Public Health | 0.803748 |
| COCA Updates | 0.600352 |
| National Influenza Vaccination | 0.639918 |
| public health | 0.935996 |
| Specific Hazards preparedness | 0.583131 |
| E-mail Distribution Listserv | 0.561957 |
| public health nursing | 0.608597 |
| E-mail distribution list | 0.548558 |
| influenza vaccination | 0.641224 |
| Terrorism Training Listserv | 0.551762 |
| FoodSafety.gov Reports FDA | 0.531612 |
| HHS Secretary Kathleen | 0.530484 |
| Salmonella Infections Linked | 0.517655 |
| National Poultry Improvement | 0.5238 |
| USDA Food Recalls | 0.521904 |
| CDC shares stories | 0.737761 |
| Response Training Resources | 0.539767 |
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CDC Collaborative Study: Influenza Seasonality in the Tropics and Sub-tropics |
Spotlight highlighting a new collaborative study by CDC |
| South America | 0.527029 |
| new collaborative study | 0.543042 |
| peak flu activity | 0.54805 |
| southern hemisphere formulation | 0.532636 |
| vaccination campaigns | 0.501568 |
| influenza virological surveillance | 0.691399 |
| southern hemispheres | 0.47907 |
| maternal influenza immunization | 0.732942 |
| sub-tropics | 0.498231 |
| local flu seasonality | 0.563212 |
| production cycle | 0.475501 |
| seasonal influenza vaccination | 0.855201 |
| optimal timing | 0.483248 |
| influenza vaccination campaign | 0.733347 |
| Health Organization | 0.477 |
| middle-income countries | 0.498416 |
| different statistical approaches | 0.511796 |
| influenza activity | 0.908284 |
| increased activity | 0.474132 |
| countries | 0.577653 |
| National surveillance data | 0.514632 |
| influenza virus circulation | 0.757724 |
| alternate vaccination times | 0.537348 |
| influenza surveillance | 0.675252 |
| distinct influenza peak | 0.727416 |
|
| influenza activity data | 0.701135 |
| influenza | 0.940297 |
| year-round influenza activity | 0.704239 |
| temperate regions | 0.473078 |
| northern hemisphere formulation | 0.532259 |
| bi-annual World Health | 0.540926 |
| Health Services Research | 0.515329 |
| local seasonality | 0.503147 |
| influenza vaccine composition | 0.762081 |
| influenza vaccine formulation | 0.779496 |
| immunization programs | 0.474179 |
| sub-Saharan countries | 0.495087 |
| largest global database | 0.512607 |
| multiple peaks | 0.484435 |
| journal PLOS | 0.48994 |
| additional secondary peak | 0.523743 |
| distinct peaks | 0.479263 |
| study results | 0.475316 |
| virus vaccine recommendation | 0.518819 |
| influenza seasonality patterns | 0.805131 |
| global health partners | 0.542063 |
| Thirty-seven countries | 0.496392 |
| Latin American region | 0.528463 |
| secondary peaks | 0.47365 |
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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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