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Malaria Cases in U.S. Hit 40-Year High | CDC Features |
Increasing numbers of malaria cases reported in the U.S. serve as a reminder to travelers to countries with malaria: think ahead and take steps to protect yourself from this potentially fatal, but preventable disease. |
| low risk | 0.38735 |
| infection | 0.315204 |
| regions | 0.315726 |
| United States | 0.484726 |
| long pants | 0.382256 |
| numbers | 0.318056 |
| malaria | 0.955498 |
| U.S. serve | 0.398254 |
| concern | 0.315442 |
| individual country | 0.389789 |
| sub-Saharan Africa | 0.396327 |
| malaria symptoms | 0.611862 |
| Clinicians | 0.316231 |
| preventable disease | 0.408177 |
| contact CDC | 0.405902 |
| chills | 0.320971 |
| appropriate drug | 0.388592 |
| malaria prevention measures | 0.69302 |
| CDC Guidelines | 0.406148 |
| place | 0.315746 |
| malaria hotline | 0.618623 |
| case management advice | 0.453704 |
| U.S. residents | 0.39051 |
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| reminder | 0.320061 |
| webpages | 0.315862 |
| long sleeves | 0.382359 |
| malaria pills | 0.680183 |
| countries | 0.371959 |
| steps | 0.337814 |
| people | 0.334071 |
| bites | 0.315431 |
| travelers | 0.439994 |
| India | 0.315775 |
| doctor | 0.327994 |
| malaria cases | 0.686963 |
| dose | 0.318772 |
| malaria transmission | 0.677657 |
| antimalarial drug | 0.397837 |
| summary report | 0.39845 |
| detailed information | 0.38287 |
| millions | 0.318139 |
| latest malaria surveillance | 0.765616 |
| largest number | 0.400236 |
| time | 0.315686 |
| family | 0.315676 |
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Centers for Disease Control and Prevention |
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Phorate - 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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Preventing Chronic Disease | Trends in Health-Related Quality of Life Among Adolescents in the United States, 2001"2010 - CDC |
Health-related quality of life (HRQOL) measures are often used to track changes in population health, mostly among adults. Prompted by the recent US recession, we assessed trends in adolescent HRQOL by using cross-sectional data from the 2001–2010 National Health and Nutrition Examination Survey. |
| mental health | 0.840667 |
| Research Triangle Institute | 0.462446 |
| standard HRQOL measures | 0.45493 |
| HRQOL measures | 0.580604 |
| Disease Control | 0.666048 |
| Rev Public Health | 0.409337 |
| self-rated health | 0.773448 |
| Nutrition Examination Survey | 0.558119 |
| logistic regression | 0.386244 |
| risky behaviors | 0.374586 |
| population health | 0.554853 |
| high-income families | 0.488744 |
| adolescents | 0.823804 |
| observed HRQOL trends | 0.397505 |
| NHANES survey cycles | 0.382786 |
| complex sample survey | 0.378548 |
| NHANES mobile examination | 0.378624 |
| study period | 0.379598 |
| National Health | 0.446121 |
| low-income families | 0.713892 |
| family income level | 0.54182 |
| physical health | 0.387143 |
| potential confounders | 0.384227 |
| Maggs JL | 0.367836 |
| Health-related quality | 0.391313 |
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| low family income | 0.38384 |
| poor adolescent HRQOL | 0.536335 |
| recession effects | 0.4169 |
| poor health | 0.424939 |
| Population Health Survey | 0.414926 |
| representative cross-sectional survey | 0.392065 |
| cigarette smoking | 0.375743 |
| main independent variable | 0.372863 |
| adjusted percentage | 0.706528 |
| self-rated health measure | 0.44661 |
| public health | 0.555227 |
| NHANES data | 0.366517 |
| family income | 0.552662 |
| federal poverty guidelines | 0.371585 |
| good health | 0.427666 |
| health | 0.971085 |
| family poverty–income ratio | 0.505468 |
| adolescent HRQOL | 0.724207 |
| multinomial logistic regression | 0.367968 |
| Health Qual Life | 0.41472 |
| Public Health Service | 0.41669 |
| adolescent self-rated health | 0.43056 |
| health risks | 0.385582 |
| middle- income families | 0.384938 |
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Centers for Disease Control and Prevention |
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CDC Vital Signs - Colorectal Cancer Tests Save Lives |
CDC Vital Signs links science, policy, and communications with the intent of communicating a call-to-action for the public. CDC Vital Signs provides the most recent, comprehensive data on key indicators of important health topics. |
| quality improvement organizations | 0.502164 |
| flu shot clinics | 0.519901 |
| Mortality Weekly Report | 0.497491 |
| health insurance | 0.444728 |
| state Medicaid programs | 0.504016 |
| health care provider | 0.550165 |
| health centers | 0.438785 |
| lung cancer | 0.46024 |
| guaiac fecal occult | 0.550468 |
| Preventive Services Task | 0.554311 |
| health systems | 0.533153 |
| colorectal cancer | 0.955721 |
| lower education | 0.517542 |
| CRC screening | 0.556891 |
| patients | 0.505276 |
| Signs Issue details | 0.498791 |
| FOBT/FIT kits | 0.536401 |
| low testing rates | 0.534539 |
| at-home stool test | 0.590836 |
| sure patients | 0.454 |
| patient reminder systems | 0.517459 |
| Affordable Care Act | 0.515051 |
| Colorectal Cancer Screening | 0.59866 |
| doctors | 0.444985 |
| colorectal cancer tests | 0.653601 |
|
| track CRC testing | 0.666521 |
| Vital Signs | 0.568127 |
| CRC testing rates | 0.778503 |
| CRC tests | 0.655729 |
| local health department | 0.521806 |
| cancer screening rates | 0.553022 |
| leading health indicator | 0.530111 |
| patient navigators | 0.800452 |
| public health professionals | 0.532323 |
| Healthy People | 0.443447 |
| colonoscopy | 0.489069 |
| clinical preventive services | 0.52228 |
| increased CRC testing | 0.658817 |
| health care systems | 0.552733 |
| primary care associations | 0.512276 |
| health | 0.563496 |
| public health workers | 0.530062 |
| available tests | 0.441345 |
| Meryl Streep/Control | 0.589603 |
| stool tests | 0.461028 |
| preventive tests | 0.442993 |
| people | 0.693357 |
| cancer killer | 0.460002 |
| test options | 0.440961 |
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Centers for Disease Control and Prevention |
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La hemofilia y cómo mantener un peso saludable |
Mantener un peso saludable mediante el ejercicio y una alimentación saludable puede disminuir los efectos de la enfermedad articular crónica causada por hemorragias recurrentes en las articulaciones, uno de los problemas de salud dolorosos y graves de la hemofilia. |
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Centers for Disease Control and Prevention |
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Concussion Videos - Returning to School |
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Centers for Disease Control and Prevention |
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Outbreak of Human Pneumonic Plague with Dog-to-Human andPossible Human-to-Human Transmission - Colorado, June-July2014 |
Janine K. Runfola, MS1, Jennifer House, DVM2, Lisa Miller, MD2, Leah Colton, PhD2, Donna Hite1, Alex Hawley1, Paul Mead, MD3, Martin Schriefer, PhD3, Jeannine Petersen, PhD3, Colleen Casaceli, MPH4, Kristine M. Erlandson, MD5, Clayton Foster, MD5, Kristy L. |
| health care provider | 0.421241 |
| plague | 0.796115 |
| plague symptoms | 0.551253 |
| untreated bubonic plague | 0.577944 |
| septicemic plague | 0.536243 |
| oral levofloxacin | 0.414501 |
| pneumonic plague | 0.750481 |
| Zoonotic Infectious Diseases | 0.448684 |
| health care providers | 0.415321 |
| human-to-human transmission | 0.503401 |
| symptomatic plague | 0.526499 |
| Y. pestis | 0.916453 |
| ill infected dog | 0.43449 |
| patient A. | 0.433585 |
| milder plague illness | 0.625757 |
| overall plague mortality | 0.568381 |
| human plague | 0.590249 |
| public health response | 0.414194 |
| dog | 0.484097 |
| prairie dog colony | 0.413775 |
| potential exposures | 0.454461 |
| Inactive prairie dog | 0.415438 |
| United States | 0.557694 |
| laboratory-confirmed plague | 0.533067 |
|
| human health care | 0.425005 |
| Tri-County Health Department | 0.506961 |
| ill domestic animals | 0.500751 |
| pneumonia | 0.438756 |
| automated identification systems | 0.418375 |
| veterinary clinic employee | 0.490194 |
| incubation period | 0.417441 |
| Y. pestis infection | 0.603245 |
| P. luteola | 0.522545 |
| close contact | 0.633937 |
| plague exposure | 0.545366 |
| polymerase chain reaction | 0.587163 |
| plague cases | 0.543527 |
| public health | 0.537352 |
| health care | 0.493195 |
| convalescent serum specimens | 0.485423 |
| female veterinary clinic | 0.490202 |
| Primary pneumonic plague | 0.601729 |
| 1Tri-County Health Department | 0.414999 |
| Untreated pneumonic plague | 0.609585 |
| Yersinia pestis | 0.46369 |
| acute Y. pestis | 0.537131 |
| radiographic evidence | 0.436586 |
| bloody sputum | 0.459508 |
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Centers for Disease Control and Prevention |
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Current Cigarette Smoking Among Adults - United States,2005-2014 |
Ahmed Jamal, MBBS1; David M. Homa, PhD1; Erin O'Connor, MS1; Stephen D. Babb, MPH1; Ralph S. |
| Current cigarette smokers | 0.535227 |
| Health Insurance Marketplace | 0.465969 |
| health insurance | 0.890684 |
| state Medicaid programs | 0.533886 |
| Tobacco smoking | 0.529958 |
| Current cigarette smoking | 0.584275 |
| evidence-based cessation treatments | 0.525301 |
| National Health Interview | 0.480259 |
| tobacco cessation treatments | 0.571127 |
| direct health care | 0.48725 |
| insurance coverage | 0.624099 |
| private health insurance | 0.575354 |
| Health Insurance Program | 0.552969 |
| higher smoking prevalence | 0.693803 |
| tobacco cessation | 0.654779 |
| tobacco control programs | 0.625586 |
| smoking status | 0.603039 |
| tobacco cessation treatment | 0.483871 |
| private insurance | 0.567925 |
| current smoking | 0.516274 |
| health insurance coverage | 0.593902 |
| tobacco cessation coverage | 0.502524 |
| American Indian/Alaska Natives | 0.569599 |
| comprehensive tobacco control | 0.52108 |
| U.S. health care | 0.468782 |
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| U.S. Census region | 0.551358 |
| health insurance types | 0.482198 |
| persons | 0.606392 |
| comprehensive private insurance | 0.460694 |
| smoking cessation | 0.489022 |
| self-reported smoking status | 0.512002 |
| cigarettes | 0.472851 |
| higher smoking estimates | 0.517057 |
| cigarette smoking status | 0.567843 |
| smoking prevalence | 0.83891 |
| government-sponsored health plan | 0.535841 |
| Education Development certificate | 0.556537 |
| tobacco price increases | 0.47683 |
| cigarette smoking | 0.909384 |
| health care | 0.549976 |
| noncigarette tobacco products | 0.457383 |
| General Education Development | 0.562069 |
| U.S. adults | 0.617761 |
| daily smokers | 0.587617 |
| cigarette smoking prevalence | 0.679343 |
| cigarette smokers | 0.707017 |
| Medicaid coverage | 0.458405 |
| higher smoking prevalences | 0.540635 |
| daily cigarette smokers | 0.550163 |
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Action Guides | Million Hearts |
Integrate Million Hearts® resources to prevent heart disease and stroke into your treatment strategy. |
| references | 0.275651 |
| public health practitioners | 0.715396 |
| worksites | 0.223358 |
| process improvements | 0.298631 |
| evidence-based brief interventions | 0.402262 |
| quality improvement tool | 0.380208 |
| features | 0.219152 |
| hypertensive patients | 0.2932 |
| creative ways | 0.292545 |
| Strong evidence | 0.288755 |
| action step | 0.553699 |
| evidence-based strategies | 0.331966 |
| guide | 0.552104 |
| Hearts® Action Guide | 0.435376 |
| intervention strategies | 0.311717 |
| blood pressure | 0.961333 |
| medication adherence strategies | 0.534546 |
| employers | 0.253845 |
| practice- based medication | 0.373242 |
| hypertension control | 0.31293 |
| health care practices | 0.388206 |
| blood pressure control | 0.641487 |
| Additional resources | 0.460881 |
| self-measured blood pressure | 0.787676 |
| good nutrition | 0.291419 |
|
| regular support | 0.289451 |
| smoking cessation | 0.28808 |
| concrete action steps | 0.382252 |
| change concepts | 0.296447 |
| tobacco use identification | 0.306505 |
| care delivery | 0.303126 |
| cardiovascular health | 0.454179 |
| cholesterol management | 0.385138 |
| pharmacy benefit managers | 0.360204 |
| practice-based medication adherence | 0.390029 |
| blood pressure monitoring | 0.515985 |
| evidence base | 0.302637 |
| additional clinical support | 0.375655 |
| busy clinicians | 0.444938 |
| evidence-based action steps | 0.408457 |
| physical activity | 0.291326 |
| action steps | 0.544585 |
| stroke-free lives | 0.309839 |
| high blood pressure | 0.393935 |
| series | 0.219351 |
| patient reminders | 0.294989 |
| health care professionals—is | 0.369988 |
| ambulatory clinical settings | 0.379402 |
| change package | 0.298445 |
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United States Geographic Distribution: 2015 data | Chikungunya virus |
Information on Chikungunya virus. Provided by the U.S. Centers for Disease Control and Prevention. |
| Puerto Rico | 0.321831 |
| virus disease cases | 0.748871 |
| Table | 0.240364 |
| CDC | 0.228742 |
| Virgin Islands | 0.315953 |
| locally-transmitted cases | 0.309962 |
| Laboratory-confirmed chikungunya virus | 0.576513 |
| ArboNET | 0.255153 |
| areas | 0.235919 |
| nationally notifiable condition | 0.475637 |
| travelers | 0.255059 |
|
| chikungunya virus disease | 0.9201 |
| standard case definitions | 0.433015 |
| U.S. states | 0.317135 |
| total | 0.240895 |
| locally-transmitted case | 0.31857 |
| Texas | 0.221523 |
| territory— United States | 0.407156 |
| U.S. territories | 0.31998 |
| local health departments | 0.438308 |
| Map | 0.221216 |
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