| 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 |
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| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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| 6504 |
Centers for Disease Control and Prevention |
Html |
en |
Diagnostic Testing - Yellow Fever |
Information on Yellow Fever. Provided by the U.S. Centers for Disease Control and Prevention. |
| arbovirus activity increases | 0.645896 |
| initial results | 0.43082 |
| fatal cases | 0.422482 |
| presumptive diagnosis | 0.437785 |
| confirmatory testing | 0.406866 |
| APPROPRIATE STATE HEALTH | 0.551491 |
| Arbovirus Diagnostic Laboratory | 0.659921 |
| Initial serological testing | 0.619121 |
| antibodies | 0.243384 |
| nucleic acid amplification | 0.615495 |
| area | 0.237686 |
| IgM-capture ELISA | 0.431357 |
| test results | 0.578077 |
| MIA | 0.239479 |
| Microsphere-based Immunoassay | 0.41588 |
| Vector-Borne Diseases Arboviral | 0.634019 |
| dates | 0.237867 |
| autopsy tissues | 0.439174 |
| CDC’s Division | 0.502418 |
| hard copy | 0.394696 |
| tests | 0.233521 |
| diagnostic specimens | 0.427932 |
| IgG ELISA | 0.46483 |
| infection | 0.237897 |
| yellow fever | 0.911446 |
|
| blood samples | 0.417607 |
| histopathology | 0.2518 |
| virus-specific IgM | 0.467831 |
| final results | 0.411827 |
| state health department | 0.807058 |
| patient | 0.264364 |
| fever clinical laboratory | 0.64305 |
| specimen receipt | 0.446818 |
| Laboratory diagnosis | 0.44223 |
| Specimens submission page | 0.599948 |
| immunohistochemistry | 0.252313 |
| epidemiologic history | 0.459222 |
| direct submissions | 0.392233 |
| evaluation page | 0.393339 |
| virus culture | 0.422196 |
| places | 0.237895 |
| activities | 0.237645 |
| biopsy | 0.249821 |
| location | 0.237547 |
| state laboratories | 0.42078 |
| serum | 0.25571 |
| travel | 0.237839 |
| non-endemic country | 0.436478 |
| clinical features | 0.436743 |
|
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| 6756 |
Centers for Disease Control and Prevention |
Html |
en |
Global Health - South Africa - CDC's HIV Prevention Programs: Most At-Risk Populations |
CDC partners in South Africa with government and parastatal agencies, private institutions, universities and non-governmental organizations to improve the country’s public health foundation, to prevent transmission of HIV, to provide care and treatment for those who are already infected with HIV, and to strengthen laboratory capacity.
|
| key risk populations | 0.36954 |
| sexually transmitted infection | 0.213284 |
| specific HIV prevention | 0.307526 |
| coverage gaps | 0.22724 |
| potentially weak family | 0.226363 |
| most-at-risk key populations | 0.415845 |
| HIV epidemic | 0.249263 |
| HIV prevention | 0.340058 |
| HIV prevalence rates | 0.286239 |
| relatively new focus | 0.220241 |
| key populations research | 0.357077 |
| key populations | 0.938221 |
| Future prevention efforts | 0.230195 |
| comprehensive prevention services | 0.241015 |
| social support systems | 0.227535 |
|
| at-risk key populations | 0.39332 |
| HIV transmission | 0.287685 |
| Human Sciences Research | 0.23939 |
| national HIV-prevention campaigns | 0.226364 |
| Global AIDS Program | 0.228057 |
| At-risk populations | 0.349247 |
| average HIV prevalence | 0.309263 |
| key CDC South | 0.283398 |
| HIV prevention strategies | 0.28697 |
| high-risk populations | 0.287999 |
| South African AIDS | 0.244448 |
| respondent-driven sampling methodology | 0.210441 |
| South African National | 0.23308 |
| CDC South Africa | 0.806512 |
|
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| 9823 |
Centers for Disease Control and Prevention |
Html |
en |
Science Clips - Monday, November 18, 2013 |
null |
| Trop Med Hyg. | 0.616394 |
| Huskins WC | 0.571283 |
| van Niekerk DJ | 0.613167 |
| Burns SM | 0.658281 |
| Hall JE | 0.570746 |
| Marks SM | 0.586558 |
| multiple chronic conditions | 0.601451 |
| Islander long-term survivors | 0.606842 |
| pregnant women | 0.614509 |
| Disease Control | 0.625825 |
| CDC Science Clips | 0.64373 |
| primary human papillomavirus | 0.620208 |
| Weinstein RA | 0.569625 |
| Danziger LH | 0.569264 |
| Deutschman CS | 0.6628 |
| phthalate metabolite concentrations | 0.605373 |
| Infect Genet Evol. | 0.644338 |
| colorectal cancer | 0.567937 |
| Dellit TH | 0.579274 |
| Science Clips Production | 0.611665 |
| discussion S64-73 | 0.569905 |
| cervical cancer | 0.567405 |
| Clin Infect Dis. | 0.672003 |
| Hunkler RJ | 0.617764 |
| Infect Dis. | 0.713933 |
|
| Nov | 0.650043 |
| northern Puerto Rico | 0.597293 |
| Hersh AL | 0.654066 |
| Hicks LA | 0.594397 |
| Cancer Surviv. | 0.569364 |
| population-based cohort study | 0.612585 |
| United States | 0.677918 |
| Gerding DN | 0.574246 |
| Taylor TH | 0.569213 |
| antibiotic expenditures | 0.583832 |
| respiratory tract infections | 0.608682 |
| structural-level needle/syringe programs | 0.616404 |
| Acquir Immune Defic | 0.609707 |
| McGowan JE | 0.585223 |
| cigarette smoking rates | 0.595066 |
| Infect Control. | 0.603151 |
| Pollack LA | 0.578466 |
| public health literature | 0.606557 |
| Pinney SM | 0.585082 |
| ambulatory care | 0.569933 |
| B. Thacker CDC | 0.637804 |
| high school students | 0.601013 |
| Magill SS | 0.657411 |
| et al | 0.974073 |
|
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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 |
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|
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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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| 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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| 14406 |
Centers for Disease Control and Prevention |
Html |
en |
A Qualitative Study of Adolescent Views of Sugar-SweetenedBeverage Taxes, Michigan, 2014 |
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. |
| Brug J. | 0.212433 |
| overall SSB consumption | 0.412557 |
| beverage consumption behaviors | 0.293664 |
| adolescent soft drink | 0.241041 |
| Health Educ Res | 0.304261 |
| students perceived disadvantages | 0.246333 |
| overall consumption rate | 0.287367 |
| SSB tax | 0.725738 |
| Water consumption | 0.290899 |
| students mentioned siblings | 0.265193 |
| SSB screener | 0.318319 |
| adolescents | 0.292196 |
| adolescent SSB consumption | 0.50942 |
| body mass index | 0.254886 |
| SSB consumption | 0.974349 |
| van der horst | 0.220292 |
| tax vending machine | 0.216986 |
| SSB habits | 0.276891 |
| consumption level | 0.313416 |
| adolescent consumption | 0.313063 |
| planned behavior | 0.30399 |
| CrossRef | 0.216097 |
| study | 0.228068 |
| habit strength | 0.215273 |
| low consumption level | 0.298168 |
|
| students | 0.617568 |
| home environment | 0.223508 |
| Focus group discussions | 0.213886 |
| soft drink consumption | 0.523448 |
| soda consumption | 0.268881 |
| Consumption levels | 0.270563 |
| drinking SSBs | 0.246911 |
| total SSB consumption | 0.416918 |
| focus groups | 0.417858 |
| Beverage Consumption Screener | 0.310811 |
| tax ( Appendix | 0.35351 |
| sugar-sweetened beverages | 0.297382 |
| sugar-sweetened beverage consumption | 0.369128 |
| adolescent views | 0.330433 |
| beverage consumption | 0.475655 |
| SSB taxes | 0.362791 |
| SSB advice | 0.266107 |
| pop consumption | 0.28221 |
| personal consumption | 0.305138 |
| decrease SSB consumption | 0.495465 |
| SSBs | 0.554848 |
| focus group | 0.446402 |
| fewer SSBs | 0.335257 |
| Eastern Michigan University | 0.307335 |
|
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| 15294 |
Centers for Disease Control and Prevention |
Html |
en |
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 |