| 912 |
Centers for Disease Control and Prevention |
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HIV Infection Among Partners of HIV-Infected Black Men WhoHave Sex with Men - North Carolina, 2011-2013 |
Philip J. Peters, MD1, Cindy Gay, MD2, Steve Beagle3, Anupama Shankar, MS1, William M. Switzer, MPH1, Lisa B. |
| North Carolina | 0.333245 |
| previously diagnosed HIV | 0.251716 |
| new HIV infections | 0.238787 |
| sex partners | 0.515799 |
| social contacts | 0.461383 |
| potential HIV transmission | 0.223137 |
| HIV transmission networks | 0.257594 |
| HIV testing sites | 0.21732 |
| HIV infection diagnosis | 0.252306 |
| black MSM | 0.705053 |
| acute HIV infection | 0.35878 |
| HIV status | 0.26467 |
| established HIV infection | 0.247756 |
| reactive HIV test | 0.229964 |
| viral suppression | 0.205939 |
| hiv transmission | 0.518407 |
| newly diagnosed HIV | 0.356261 |
| index patients | 0.222302 |
| HIV test result | 0.228306 |
|
| HIV Ag/Ab Combo | 0.210378 |
| young black MSM | 0.254254 |
| HIV test | 0.237405 |
| HIV prevention services | 0.230328 |
| partner notification | 0.207316 |
| partner services | 0.554988 |
| HIV-infected partners | 0.328377 |
| HIV medical care | 0.471639 |
| HIV pol gene | 0.206384 |
| HIV-infected black MSM | 0.224399 |
| HIV care | 0.223929 |
| HIV rapid test | 0.257446 |
| HIV partner services | 0.284869 |
| HIV enzyme immunoassay | 0.210949 |
| HIV testing | 0.345391 |
| HIV pol sequences | 0.214439 |
| HIV pol | 0.249957 |
| HIV infection | 0.901461 |
| HIV transmission network | 0.262255 |
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| 6504 |
Centers for Disease Control and Prevention |
Html |
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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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| 8086 |
Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Preventable Hospitalizations for Hypertension: Establishing a Baseline for Monitoring Racial Differences in Rates - CDC |
Preventable hospitalization for hypertension is an ambulatory care–sensitive condition believed to indicate the failure of outpatient and public health systems to prevent and control hypertension. |
| hospitals | 0.438143 |
| data | 0.622942 |
| National Hospital Discharge | 0.50394 |
| blacks | 0.557971 |
| non-Hispanic black women | 0.430994 |
| whites | 0.558993 |
| health care reform | 0.436131 |
| non-Hispanic white counterparts | 0.423451 |
| national data | 0.423427 |
| public health systems | 0.431695 |
| recent national data | 0.41831 |
| higher hospitalization rates | 0.462282 |
| hospital discharge rates | 0.449813 |
| dangerously uncontrolled hypertension | 0.470616 |
| hypertension hospitalization rates | 0.527983 |
| precise estimates | 0.449886 |
| racial differences | 0.563912 |
| preventable hospitalizations | 0.701196 |
| hypertension prevalence | 0.434458 |
| Affordable Care Act | 0.515298 |
| health care costs | 0.44536 |
| population | 0.468787 |
| white women | 0.496949 |
| non-Hispanic black men | 0.482119 |
| pre-PPACA baseline rates | 0.546232 |
|
| NCHS Research Ethics | 0.420876 |
| higher rates | 0.583612 |
| black women | 0.436299 |
| quality health care | 0.457192 |
| hypertension treatment | 0.432229 |
| United States | 0.704442 |
| unweighted response rate | 0.475858 |
| proportionately higher rates | 0.446434 |
| Hospital Discharge Survey | 0.503526 |
| hypertension admission rate | 0.490195 |
| sex-standardized rates | 0.475607 |
| health care | 0.678531 |
| higher crude rates | 0.593343 |
| non-Hispanic white men | 0.483496 |
| public health | 0.471084 |
| Healthcare Research | 0.466221 |
| Introduction
Preventable hospitalization | 0.446445 |
| good-quality health care | 0.608728 |
| health care systems | 0.438787 |
| representative hospitalization database | 0.416738 |
| rates | 0.867119 |
| major diagnostic category | 0.46927 |
| confidence intervals | 0.55228 |
| hospitalizations | 0.977319 |
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| 8516 |
Centers for Disease Control and Prevention |
Html |
null |
Preventing Chronic Disease | Demand for Weight LossCounseling After Copayment Elimination - CDC |
Overweight and obesity are public health issues in the United States, and veterans have a higher rate of overweight and obesity than the general population. Our objective was to examine whether copayment elimination increased use of a weight loss clinic by veterans. |
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| 12343 |
Centers for Disease Control and Prevention |
Html |
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ACIP Recommended Immunization Schedules |
CDC official immunization schedules for children, preteens, teens, and adults for health care professionals, parents, and the general public. |
| smartphone | 0.564636 |
| vaccines | 0.514195 |
| office visit | 0.873031 |
| Infants | 0.455797 |
| easy-to-read adult schedule | 0.876401 |
| quick quiz | 0.608219 |
| tools | 0.444566 |
| printable formats | 0.643601 |
| various sizes | 0.637294 |
| ways | 0.444395 |
| load | 0.461511 |
| friendly schedule | 0.603544 |
| instant schedule | 0.61696 |
|
| Children | 0.444957 |
| MMWR | 0.44923 |
| doctor visit | 0.64377 |
| binational resource | 0.702314 |
| regular paper | 0.669426 |
| birth | 0.444887 |
| screening form | 0.620836 |
| pocket size | 0.673899 |
| Teens | 0.446548 |
| various formats | 0.634688 |
| Preteens | 0.476253 |
| easy-to-read formats | 0.920911 |
| printable versions | 0.68589 |
|
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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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| 14406 |
Centers for Disease Control and Prevention |
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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 |
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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 |
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