| 5506 |
Centers for Disease Control and Prevention |
Html |
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Trichloronaphthalene - 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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| 8570 |
Centers for Disease Control and Prevention |
Html |
en |
PanFlu Storybook - 1957 Flu Pandemic, David Rex |
1957 Flu Pandemic, The 1957 flu pandemic was deadly, but milder than the 1918 event. The virus caused an estimated 70,000 deaths in the United States. The seven stories presented in this section are retold by survivors from New York to California. |
| bed | 0.449743 |
| sick students | 0.67815 |
| reason | 0.458636 |
| lunch | 0.458472 |
| dining room | 0.96645 |
| large number | 0.684491 |
| afternoon classes | 0.715003 |
| nation | 0.449841 |
| dorm mates | 0.742499 |
| student body | 0.684499 |
| high morbidity rate | 0.920353 |
| mild symptoms | 0.721488 |
| roommates | 0.467245 |
| regular basis | 0.670237 |
| closing | 0.453947 |
| center staff | 0.665799 |
| fall | 0.525761 |
| Storyteller | 0.4688 |
| dorms | 0.571182 |
| state | 0.449997 |
| Presbyterian college | 0.67045 |
| deaths | 0.454857 |
|
| fewer students | 0.695441 |
| flu-like symptoms | 0.743892 |
| David Rex | 0.756263 |
| dorm room | 0.748451 |
| elevated temperature | 0.715987 |
| dinner | 0.451563 |
| churches | 0.449779 |
| aches | 0.607572 |
| freshman | 0.479339 |
| girlfriend | 0.465754 |
| health center | 0.667444 |
| flu shot | 0.727262 |
| public meetings | 0.674105 |
| schools | 0.44981 |
| Wooster Ohio | 0.760628 |
| Synod | 0.450238 |
| professors | 0.457809 |
| school doctor | 0.725376 |
| late morning | 0.704423 |
| time | 0.45571 |
| classrooms | 0.460604 |
| breakfast | 0.454952 |
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| 11373 |
Centers for Disease Control and Prevention |
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en |
Reproductive Health - How You Can Be Exposed to Job Hazards |
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| 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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| 11461 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Health Care System Collaboration to Address Chronic Diseases: A Nationwide Snapshot From State Public Health Practitioners - CDC |
Until recently, health care systems in the United States often lacked a unified approach to prevent and manage chronic disease. Recent efforts have been made to close this gap through various calls for increased collaboration between public health and health care systems to better coordinate provision of services and programs. Currently, the extent to which the public health workforce has responded is relatively unknown. The objective of this study is to explore health care system collaboration efforts and activities among a population-based sample of state public health practitioners. |
| chronic care | 0.348316 |
| public health practitioners | 0.503647 |
| state health departments | 0.394505 |
| main program area | 0.344762 |
| chronic disease program | 0.300658 |
| care system collaboration | 0.490406 |
| state-level chronic disease | 0.309735 |
| health systems | 0.33859 |
| health department chronic | 0.343092 |
| health care costs | 0.315886 |
| St Louis | 0.32229 |
| Public Health Accreditation | 0.303628 |
| respondents | 0.377878 |
| health department practitioners | 0.355079 |
| care collaboration examples | 0.315139 |
| chronic care delivery | 0.30805 |
| department chronic disease | 0.305872 |
| chronic disease | 0.678061 |
| state public health | 0.366533 |
| chronic disease practitioners | 0.296688 |
| health care collaboration | 0.442803 |
| chronic disease prevention | 0.356919 |
| health’s collaboration | 0.335256 |
| public health workforce | 0.366585 |
| collaboration efforts | 0.292127 |
|
| program area | 0.403111 |
| state-level public health | 0.303761 |
| collaborative chronic care | 0.294853 |
| cardiovascular health | 0.354131 |
| chronic disease directors | 0.293402 |
| state health department | 0.543381 |
| collaboration activities | 0.426125 |
| public health prevention | 0.302847 |
| collaboration survey item | 0.293502 |
| disease public health | 0.327805 |
| collaborative work | 0.312796 |
| public health | 0.787147 |
| health care systems | 0.998505 |
| evidence-based decision making | 0.355672 |
| chronic diseases | 0.316286 |
| evidence-based public health | 0.296446 |
| community health centers | 0.294883 |
| health department program | 0.302944 |
| program areas | 0.338408 |
| health department websites | 0.292901 |
| collaboration | 0.515274 |
| different health care | 0.332152 |
| care collaboration likelihood | 0.302794 |
| cancer | 0.29214 |
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| 11510 |
Centers for Disease Control and Prevention |
Html |
en |
NCIRD | Branches | Org Chart | Vaccines and Respiratory Diseases |
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| MPEG | 0.741242 |
| site | 0.541063 |
| PDF | 0.544429 |
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| 11693 |
Centers for Disease Control and Prevention |
Html |
en |
CDC update on first Ebola case diagnosed in the United States: 10-02 | Media Advisory | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| Centers | 0.341594 |
| media availability | 0.534583 |
| Dallas County | 0.550947 |
| CDC director | 0.697069 |
| Non-Media | 0.387092 |
| United States | 0.558408 |
| Tom Frieden | 0.59358 |
| telebriefing | 0.342394 |
| M.D. | 0.341868 |
| outbreak responders | 0.619244 |
| historical purposes | 0.584345 |
| State Health Services | 0.752977 |
| navigation Skip | 0.773196 |
| Prevention | 0.341498 |
| Ebola case | 0.615493 |
| transcript | 0.460979 |
| Disease Control | 0.554812 |
| U.S. DEPARTMENT | 0.526852 |
| PASSCODE | 0.380996 |
| M.P.H | 0.373279 |
| Important Instructions | 0.55005 |
| dial | 0.347058 |
|
| website | 0.346879 |
| list Skip | 0.777891 |
| CDC Media | 0.648443 |
| question | 0.430349 |
| page options Skip | 0.91364 |
| Commissioner | 0.351218 |
| touchtone phone | 0.562747 |
| p.m. | 0.341047 |
| ET | 0.339826 |
| Texas Department | 0.543146 |
| Thursday | 0.342307 |
| Ebola Virus | 0.588533 |
| West Africa | 0.581156 |
| investigation | 0.342317 |
| HUMAN SERVICES | 0.526287 |
| visit | 0.342119 |
| time | 0.339996 |
| press conference | 0.533453 |
| Audio | 0.344944 |
| media briefing | 0.629521 |
| David Lakey | 0.600317 |
| INTERNATIONAL | 0.34208 |
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| 12889 |
Centers for Disease Control and Prevention |
Html |
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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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| 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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| 15392 |
Centers for Disease Control and Prevention |
Html |
en |
Drinking Water in California Child Care Sites Before andAfter 2011-2012 Beverage Policy |
Preventing Chronic Disease (PCD) is a peer-reviewed electronic journal established by the National Center for Chronic Disease Prevention and Health Promotion. PCD provides an open exchange of information and knowledge among researchers, practitioners, policy makers, and others who strive to improve the health of the public through chronic disease prevention. |
| CACFP water policy | 0.487052 |
| free drinking water | 0.464895 |
| children | 0.549909 |
| child care sites | 0.716312 |
| child care homes | 0.492038 |
| young children | 0.488872 |
| state water policy | 0.464334 |
| child care categories | 0.507162 |
| existing child care | 0.458146 |
| family child care | 0.492208 |
| adult care food | 0.5141 |
| plain bottled water | 0.45733 |
| water | 0.73226 |
| drinking water indoors | 0.469478 |
| CACFP center | 0.454578 |
| child care center | 0.465985 |
| California child care | 0.505454 |
| care food program | 0.488293 |
| water access | 0.493582 |
| child care site | 0.466976 |
| water safety concerns | 0.451828 |
| licensed child care | 0.533453 |
| CACFP home | 0.45457 |
| bottled water | 0.471423 |
|
| beverage policy | 0.497787 |
| state child care | 0.476428 |
| child care staff | 0.458481 |
| municipal water source | 0.452361 |
| child care | 0.914814 |
| non-CACFP sites | 0.489458 |
| Introduction
Drinking water | 0.466279 |
| popular water choice | 0.452706 |
| CACFP sites | 0.483498 |
| water intake | 0.461489 |
| CACFP nutrition standards | 0.456329 |
| CACFP participation | 0.45343 |
| child care providers | 0.697071 |
| plain water | 0.457636 |
| drinking water | 0.555543 |
| public health | 0.468028 |
| CACFP | 0.490181 |
| child care beverage | 0.489088 |
| child care settings | 0.574219 |
| unlimited self-serve water | 0.458859 |
| drinking water policy | 0.46521 |
| water provision | 0.533781 |
| water access policy | 0.460043 |
| reusable water bottles | 0.452321 |
|
CLICK HERE |