| 5853 |
Centers for Disease Control and Prevention |
Html |
en |
Phosphorus trichloride - NIOSH Pocket Guide to Chemical Hazards |
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| 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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| 6811 |
Centers for Disease Control and Prevention |
Html |
en |
Acute Illness and Injury from Swimming Pool Disinfectants and Other Chemicals --- United States, 2002--2008 |
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. |
| North Carolina | 0.403577 |
| Sentinel Event Notification | 0.41574 |
| injuries | 0.390948 |
| illnesses | 0.371802 |
| dust clouds | 0.467286 |
| poison control centers | 0.417428 |
| State Health Svcs | 0.37941 |
| Naomi L. Hudson | 0.401065 |
| NEISS cases | 0.742883 |
| injury | 0.519364 |
| National Electronic Injury | 0.386254 |
| personal protective equipment | 0.416169 |
| calcium hypochlorite | 0.397366 |
| pool chemical | 0.428123 |
| weighted national estimate | 0.469605 |
| individual cases | 0.372801 |
| symptoms | 0.376692 |
| equipment failure | 0.391703 |
| work-related cases | 0.372671 |
| exposure | 0.386728 |
| case definition | 0.381103 |
| recreational swimming pool | 0.384735 |
| pool chemicals.§ Data | 0.390812 |
| Environmental Protection Agency | 0.405793 |
| health effects | 0.479559 |
|
| Pesticides surveillance program | 0.41249 |
| Pool disinfectant byproducts | 0.379083 |
| Public Health | 0.387501 |
| pool chemical manufacturers | 0.382983 |
| appropriate PPE | 0.46829 |
| total cases | 0.371132 |
| states | 0.409976 |
| sufficient information | 0.387291 |
| adverse health effects | 0.377285 |
| pool disinfectants | 0.391595 |
| pool chemicals | 0.838781 |
| CDC recommendations | 0.427019 |
| causal relationship | 0.372214 |
| illness | 0.482588 |
| pool chemical container | 0.406636 |
| cases | 0.909457 |
| active ingredients | 0.41265 |
| high-severity cases | 0.398522 |
| factors | 0.371177 |
| chemical container | 0.416197 |
| pool water | 0.376433 |
| pool shock treatment | 0.381317 |
| Pesticide Regulation cases | 0.408237 |
| nondisinfectant pool chemicals | 0.394634 |
|
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| 6896 |
Centers for Disease Control and Prevention |
Html |
en |
Autism Spectrum Disorders: One Family's Story | CDC Features |
The earlier children with autism spectrum disorder (ASD) are diagnosed, the better. Most are not diagnosed until after age 4. It's important for doctors to screen all children for ASDs. Read about one family's experience. |
| Babies Ca | 0.578305 |
| final diagnosis | 0.438013 |
| extracurricular activities | 0.437317 |
| developmental screening test | 0.586109 |
| system) evaluation. | 0.4874 |
| Autism Spectrum Disorder | 0.827751 |
| children ages | 0.450643 |
| developmental milestones | 0.471427 |
| repetitive behaviors | 0.440312 |
| speech/sound delays | 0.473525 |
| developmental problems | 0.473474 |
| Perry’s therapy | 0.458389 |
| ASD | 0.788711 |
| Perry | 0.507119 |
| children | 0.706077 |
| developmental pediatrician | 0.628686 |
| incredibly special children | 0.571574 |
| Additional screening | 0.524149 |
| Early interventions services | 0.546631 |
| well-child doctor visits | 0.704771 |
| therapy schedules | 0.446597 |
| wrong choice | 0.438471 |
| intervention treatment services | 0.767462 |
|
| language delays | 0.452699 |
| earlier children | 0.484931 |
| early intervention treatment | 0.769485 |
| developmental delays | 0.619212 |
| early intervention | 0.990903 |
| regular well-child doctor | 0.70837 |
| comprehensive diagnostic evaluation | 0.524845 |
| therapy | 0.460668 |
| way home | 0.443816 |
| personal journey | 0.45588 |
| early intervention services | 0.768017 |
| ‘red flag | 0.440698 |
| typical children | 0.459778 |
| long road | 0.441239 |
| different treatment approaches | 0.548361 |
| Margeaux | 0.442334 |
| steady course | 0.440447 |
| children’s lives | 0.460537 |
| developmental problem | 0.47528 |
| high risk | 0.529578 |
| low birth weight | 0.533239 |
| formal autism diagnosis | 0.561688 |
| age | 0.483943 |
|
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| 9096 |
Centers for Disease Control and Prevention |
Html |
en |
About CDC Advisory Leaders |
CDC Centers for Disease Control and Prevention Advisory Committee to the Director |
| public health expert | 0.497123 |
| County Health Department | 0.509656 |
| Medicine health services | 0.499634 |
| public health policies | 0.516086 |
| New York City | 0.539106 |
| health services research | 0.488496 |
| Health Disparities Subcommittee | 0.540635 |
| public’s health | 0.490216 |
| Health Policy Research | 0.483421 |
| health care services | 0.474979 |
| Public Health Services | 0.513337 |
| public health activities | 0.509781 |
| Health Services Center | 0.473189 |
| public health functions | 0.509522 |
| public health investigations | 0.501538 |
| Public Health Accreditation | 0.492995 |
| public health practice | 0.504421 |
| University | 0.514378 |
| population health management | 0.499066 |
| community health | 0.470484 |
| Memorial Hermann Health | 0.489903 |
| Dr. | 0.588903 |
| Dr. Bal | 0.524587 |
| Public Private Partnerships | 0.473416 |
| health management tools | 0.471639 |
|
| Public Health Impact | 0.524492 |
| Environmental Health Sciences | 0.485867 |
| Environmental Health Network | 0.479797 |
| Medicine Health Public | 0.532626 |
| health services | 0.544345 |
| Public Health Department | 0.523409 |
| emergency medicine health | 0.506115 |
| District Health Officer | 0.510572 |
| Health Policy | 0.504455 |
| public health | 0.931481 |
| health care | 0.610546 |
| York City Health | 0.485389 |
| Washington Global Health | 0.480852 |
| Public Health Officer | 0.513588 |
| primary health care | 0.478287 |
| Dr. Fielding | 0.478847 |
| child health | 0.5079 |
| public health school | 0.535562 |
| Milken Institute School | 0.470055 |
| health officer | 0.54565 |
| global health board | 0.483916 |
| Dr. Chu | 0.514349 |
| Public Health Committee | 0.50227 |
| National Health Leadership | 0.473297 |
|
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| 9192 |
Centers for Disease Control and Prevention |
Html |
en |
MMWR News Summary: December 22, 2011 |
MMWR News Summary: December 22, 2011 |
| HCV antibody testing | 0.5007 |
| additional training opportunities | 0.393333 |
| adequate epidemiology capacity | 0.433929 |
| blood glucose monitors | 0.384851 |
| level epidemiologists | 0.318455 |
| infection control | 0.438466 |
| glucose-monitoring device. Hepatitis | 0.404794 |
| quadrivalent HPV vaccine | 0.986843 |
| foodborne disease programs | 0.424851 |
| foodborne safety staff | 0.420725 |
| Electronic Media | 0.519967 |
| blood vessel tissue | 0.434219 |
| response capacity | 0.32227 |
| diabetes care | 0.384316 |
| infection control practice. | 0.406682 |
| HPV vaccine recommendation | 0.514579 |
| hepatitis C virus | 0.343537 |
| tissue screening | 0.332172 |
| organ donors. | 0.324949 |
| hepatitis B infection. | 0.324733 |
| local health departments | 0.388631 |
| tissue procurement | 0.319847 |
| hepatitis B vaccination | 0.382779 |
| real-time communication network | 0.400127 |
|
| foodborne disease outbreaks | 0.427638 |
| unvaccinated adults | 0.369435 |
| HCV NAT screening | 0.698986 |
| program capacity | 0.387877 |
| HCV nucleic acid | 0.497141 |
| food borne disease. | 0.407052 |
| CDC
Division | 0.339581 |
| organ donors | 0.387708 |
| young men | 0.383467 |
| infected tissue | 0.345451 |
| food borne diseases | 0.408636 |
| years. Quadrivalent HPV | 0.454233 |
| food safety | 0.441605 |
| vaccine. Men | 0.322224 |
| adequate epidemiology expertise | 0.409501 |
| repeat NAT testing | 0.443698 |
| infected kidney recipients | 0.415835 |
| Infection control practice | 0.41103 |
| infection control training | 0.405056 |
| gay/bisexual men | 0.328981 |
| HCV antibody | 0.51149 |
| Safety Epidemiology Capacity | 0.420703 |
| foodborne outbreaks | 0.329686 |
|
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| 10766 |
Centers for Disease Control and Prevention |
Html |
en |
Pregnancy Risk Assessment Monitoring System - Reproductive Health |
PRAMS, Pregnancy Risk Assessment Monitoring System, What is PRAMS? |
| Pregnant Smokers | 0.226133 |
| U.S. births | 0.236242 |
| public health decision | 0.358643 |
| Health Insurance Coverage | 0.358517 |
| New York City | 0.320433 |
| standard questions | 0.224292 |
| PRAMS surveillance data | 0.749466 |
| Disease Control | 0.237171 |
| social media tools | 0.460184 |
| Pregnant Women | 0.226286 |
| state health departments | 0.400985 |
| Nicotine Replacement Therapy | 0.307448 |
| PRAMS questionnaire | 0.615477 |
| health messages | 0.254911 |
| PRAMS Analytic Research | 0.715333 |
| population-based study | 0.240566 |
| MMWR Surveill Summ | 0.309392 |
| Ding H. Prev | 0.353166 |
| PRAMS publications | 0.603172 |
| Womens Ment Health. | 0.323548 |
| reproductive health | 0.269467 |
| health status | 0.276393 |
| health problems | 0.340437 |
| high risk | 0.23928 |
| PRAMS project | 0.625734 |
|
| easy-to-use communication tools | 0.311509 |
| CDC social media | 0.350619 |
| United States | 0.227621 |
| parts—core questions | 0.224562 |
| Health Board | 0.2666 |
| MMWR Morb Mortal | 0.317661 |
| Pregnancy Risk Assessment | 0.755575 |
| Plains Tribal Chairmen | 0.321369 |
| PRAMS data | 0.654901 |
| multiple states | 0.239003 |
| Live-Born Infants | 0.252911 |
| Influenza Season | 0.221051 |
| standardized data collection | 0.346061 |
| population-based data | 0.301993 |
| PRAMS surveillance | 0.9084 |
| PRAMS | 0.965214 |
| maternal attitudes | 0.236953 |
| Carla L. Black | 0.30381 |
| Influenza Vaccination Coverage | 0.317075 |
| Helen Ding | 0.231123 |
| Forty-seven states | 0.250561 |
| adverse outcomes | 0.222046 |
| et al | 0.315177 |
| surveillance project | 0.268311 |
|
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| 12214 |
Centers for Disease Control and Prevention |
Html |
en |
Reintegration of Ebola Survivors into Their Communities -Firestone District, Liberia, 2014 |
On December 12, 2014, this report was posted as an MMWR Early Release on the MMWR website (http://www.cdc.gov/mmwr). |
| Firestone employees | 0.609097 |
| Ebola treatment unit | 0.652412 |
| first-hand survivor accounts | 0.51611 |
| Firestone medical team | 0.553889 |
| Edmundo L. Garcia | 0.435294 |
| Ebola survivors | 0.849851 |
| past Ebola epidemics | 0.647432 |
| reintegration team | 0.551017 |
| official reintegration programs | 0.504351 |
| MMWR Early Release | 0.437953 |
| comprehensive Ebola response | 0.795726 |
| Ebola transmission | 0.619051 |
| high infection rates | 0.429503 |
| survivor reintegration program | 0.651021 |
| medical director | 0.486219 |
| Firestone District | 0.63298 |
| survivor home | 0.529445 |
| World Health Organization | 0.446763 |
| survivor privacy | 0.464152 |
| M. Allison Arwady | 0.539955 |
| voluntary quarantine | 0.589512 |
| large rubber plantation | 0.430399 |
| reintegration ceremonies | 0.447422 |
| Ebola virus strain | 0.63523 |
| community member concerns | 0.436488 |
|
| current Ebola virus | 0.672049 |
| Firestone | 0.721255 |
| follow-up Ebola testing | 0.634187 |
| Erik J. Reaves | 0.432316 |
| Formal reintegration programs | 0.498902 |
| Ebola patients | 0.649732 |
| ETU discharge | 0.434666 |
| Ebola | 0.993838 |
| Firestone Health Services | 0.544445 |
| reintegration ceremony | 0.443699 |
| community members | 0.474688 |
| Ebola education | 0.557881 |
| Firestone Liberia | 0.533794 |
| laboratory-confirmed Ebola patient | 0.638726 |
| suspected Ebola cases | 0.606539 |
| Lyndon G. Mabande | 0.434096 |
| Ebola transmission risks | 0.601634 |
| Firestone employee | 0.536738 |
| medical staff members | 0.437642 |
| major reintegration problems | 0.494604 |
| Firestone ETU | 0.571291 |
| Ebola patient | 0.720579 |
| county health team | 0.435165 |
| local community leader | 0.442793 |
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CLICK HERE |
| 14594 |
Centers for Disease Control and Prevention |
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Responding to the Heroin Epidemic |
null |
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CLICK HERE |
| 15752 |
Centers for Disease Control and Prevention |
Html |
en |
Prevention and Control of Seasonal Influenza with Vaccines | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| influenza | 0.980742 |
| ACIP Influenza Work | 0.612779 |
| influenza virus type | 0.623561 |
| influenza infection | 0.652082 |
| U.S. Influenza Vaccine | 0.596858 |
| Recombinant influenza vaccine | 0.642165 |
| United States | 0.60651 |
| influenza vaccine product | 0.625704 |
| typical influenza seasons | 0.600674 |
| Routine annual influenza | 0.655457 |
| additional influenza | 0.584952 |
| pandemic influenza | 0.596722 |
| U.S. trivalent influenza | 0.599661 |
| influenza virus infection | 0.613295 |
| children | 0.590343 |
| trivalent influenza vaccines | 0.633178 |
| substantially different influenza | 0.583975 |
| seasonal influenza vaccine | 0.631126 |
| influenza vaccine efficacy | 0.615373 |
| seasonal influenza vaccines | 0.630521 |
| severe influenza illness | 0.658499 |
| influenza vaccine | 0.839409 |
| influenza season | 0.712959 |
| RT-PCR–confirmed influenza virus | 0.583627 |
|
| Influenza B viruses | 0.592948 |
| influenza vaccines | 0.757223 |
| influenza virus strains | 0.644875 |
| influenza activity | 0.59504 |
| regular influenza seasons | 0.590876 |
| seasonal influenza | 0.722835 |
| website (http://www.cdc.gov/flu). | 0.585723 |
| winter influenza seasons | 0.593876 |
| predominant circulating influenza | 0.592395 |
| influenza virus infections | 0.581578 |
| New influenza virus | 0.599045 |
| influenza seasons | 0.706353 |
| influenza vaccine effectiveness | 0.73389 |
| influenza surveillance | 0.591352 |
| influenza testing | 0.587191 |
| increased influenza activity | 0.585035 |
| annual influenza vaccination | 0.79873 |
| influenza viruses | 0.673222 |
| influenza B virus | 0.635678 |
| influenza virus | 0.742001 |
| ACIP influenza Recommendations | 0.610798 |
| influenza a viruses | 0.594106 |
| maternal influenza illness | 0.582501 |
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| 15783 |
Centers for Disease Control and Prevention |
Html |
en |
Zika Community Action Response Toolkit |
Information on Zika virus. Provided by the U.S. Centers for Disease Control and Prevention. |
| template plan | 0.590902 |
| jurisdiction | 0.27157 |
| document | 0.254315 |
| virus | 0.265847 |
| approach | 0.264465 |
| CDC State | 0.553182 |
| risk-based communication strategies | 0.870814 |
| bite | 0.277011 |
| Collaboration Space | 0.51538 |
| community engagement planning | 0.963783 |
| following existing CDC | 0.849479 |
| Z-CART materials | 0.499182 |
| event | 0.262947 |
| public health | 0.821375 |
| case | 0.255554 |
|
| jurisdictions | 0.283033 |
| Communication Resource Center | 0.775704 |
| Territorial | 0.276632 |
| needs | 0.263453 |
| resources | 0.253999 |
| staff | 0.253419 |
| tribal agencies | 0.559834 |
| public health officials | 0.808407 |
| community engagement | 0.966245 |
| toolkit | 0.265727 |
| local agencies | 0.530742 |
| locally transmitted Zika | 0.993974 |
| registration | 0.253562 |
| laboratory confirmation | 0.559753 |
| community engagement plans | 0.858744 |
|
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