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Centers for Disease Control and Prevention |
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Asociación entre las opciones de alimentos durante la jornada escolar y los hábitos alimentarios específicos de estudiantes de escuelas secundarias superiores alternativas, Minneapolis/Saint Paul, Minnesota, 2006 |
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| dÃa escolar | 0.546556 |
| Programa Nacional | 0.472677 |
| entorno alimenticio | 0.958058 |
| Kubik MY | 0.527136 |
| Nutrición Escolar NSLP | 0.706974 |
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| Fulkerson JA | 0.542361 |
| Story M | 0.518125 |
| Davey C | 0.517643 |
| alto contenido | 0.790856 |
| piloto team cool | 0.621004 |
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| 6692 |
Centers for Disease Control and Prevention |
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Science Clips - Monday, February 13, 2012 |
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| HIV transmission rates | 0.794427 |
| Youth Study Group | 0.809838 |
| Pediatr Infect Dis | 0.788419 |
| Pirkle JL | 0.794807 |
| newly arrived refugees | 0.784492 |
| CDC Science Clips | 0.945263 |
| acute HIV infection | 0.802328 |
| possible stimulated reporting | 0.781999 |
| government health recommendations | 0.790397 |
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| Eastern United States | 0.801894 |
| Chief Science Officer | 0.806798 |
| respiratory viral infections | 0.780796 |
| Immigr Minor Health. | 0.785518 |
| Parashar UD | 0.782545 |
| Clin Infect Dis. | 0.779651 |
| Rift Valley fever | 0.78309 |
| CDC licensed materials | 0.856018 |
| Southeastern United States | 0.800953 |
| Stephen B. Thacker | 0.88071 |
| low health literacy | 0.790573 |
| injury-free active living | 0.78561 |
| United States | 0.897092 |
| Njenga MK | 0.793625 |
| chronic diseases comorbidities | 0.789872 |
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| Lyme disease agent | 0.785592 |
| American health disparities | 0.794501 |
| HIV-1 protease inhibitors | 0.789872 |
| long-term refugee camps | 0.782502 |
| Vesper HW | 0.796378 |
| Maternal urinary phthalates | 0.783594 |
| actual testing frequency | 0.788815 |
| post-earthquake geospatial study | 0.787982 |
| Curr Opin HIV | 0.801633 |
| Sexually transmitted infections | 0.782806 |
| Science Clips | 0.949617 |
| public health literature | 0.79986 |
| B. Thacker CDC | 0.929176 |
| Mirel LB | 0.786709 |
| systematic review | 0.782455 |
| Chlamydia trachomatis infection | 0.799359 |
| blood glucose monitoring | 0.792234 |
| nonspecific adverse events | 0.781104 |
| Group A5208 study | 0.80509 |
| Johnson CL | 0.786254 |
| Breiman RF | 0.788759 |
| Kuiper HC | 0.789608 |
| global childhood diarrheal | 0.78157 |
| male genital anomalies | 0.780681 |
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Centers for Disease Control and Prevention |
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Heart Disease Conditions |
High cholesterol, high blood pressure, and diabetes are three risk factors for heart disease. Get the facts about heart disease risk from the CDC. |
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| body | 0.33825 |
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| medical condition | 0.289597 |
| higher level | 0.285472 |
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| blood vessels | 0.298373 |
| steps | 0.217096 |
| symptoms | 0.217469 |
| medical conditions | 0.296626 |
| parts | 0.216573 |
| silent killer | 0.292824 |
| heart attack | 0.296195 |
| insulin | 0.256172 |
| death | 0.215967 |
| diabetes.1 Talk | 0.286459 |
| adults | 0.22915 |
| changes | 0.217342 |
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| high levels | 0.289666 |
| protection | 0.216144 |
| kidneys | 0.250727 |
| hormone | 0.215914 |
| HDL | 0.219153 |
| certain foods | 0.288231 |
| LDL | 0.222156 |
| heart disease | 0.900917 |
| term | 0.216406 |
| glucose | 0.220462 |
| Diabetes mellitus | 0.301951 |
| bad. | 0.21643 |
| blood test | 0.290677 |
| medication | 0.216795 |
| triglycerides | 0.22266 |
| brain | 0.235675 |
| fat-like substance | 0.29225 |
| people | 0.217486 |
| high pressure | 0.296405 |
| low-density lipoprotein | 0.306978 |
| high blood pressure | 0.741098 |
| body needs | 0.280823 |
| High cholesterol | 0.349301 |
| extra cholesterol | 0.351555 |
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Health & Medical Concerns - Emergency Preparedness for Older Adults - Aging |
Information on the specific health-related concerns older adults may face during emergenci |
| treatment | 0.233561 |
| disaster situations | 0.397059 |
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| navigation Skip | 0.586657 |
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| following links | 0.38719 |
| page options Skip | 0.764963 |
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| noisy | 0.253145 |
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| chronic conditions | 0.401273 |
| emergency event | 0.379418 |
| medical concerns | 0.394759 |
| older adults | 0.93022 |
| potential older adult | 0.623601 |
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PanFlu Storybook - In Memorial, Geneva Searcy Thompson |
In Memorial, To date, October 1918 remains the deadliest month in U.S. history when approximately 200,000 Americans died of the flu. Healthy, young adults (average age 35 years) began coughing in the morning and were dead by the evening. The family stories described in this section define true courage amid unbearable loss. |
| family members | 0.375841 |
| Estella Naomi Hale–Searcy | 0.741321 |
| Nancy Lybarger | 0.527792 |
| young child | 0.394935 |
| flu | 0.366692 |
| Geneva Fern Searcy | 0.909794 |
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| terrible times | 0.409047 |
| mother | 0.604717 |
| neighbors | 0.232742 |
| Loren Ivan Searcy | 0.88963 |
| lasting impression | 0.456305 |
| firstborn son | 0.418981 |
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Chronic Fatigue Syndrome (CFS) - CDC |
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| bed | 0.237798 |
| severe fatigue | 0.476778 |
| thinking | 0.237693 |
| times | 0.237969 |
| Institute | 0.233133 |
| complex disease | 0.390667 |
| understanding | 0.233113 |
| health care providers | 0.539427 |
| ME/CFS | 0.833269 |
| dizziness | 0.257062 |
| pain | 0.235244 |
| timely diagnosis | 0.403076 |
| committee | 0.23346 |
| IOM | 0.260819 |
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| Americans | 0.236337 |
| encephalomyelitis/chronic fatigue syndrome | 0.995804 |
| sleep problems | 0.402557 |
| usual activities | 0.430562 |
| body systems | 0.430988 |
| people | 0.311776 |
| symptoms | 0.233915 |
| symptom | 0.252966 |
| post-exertional malaise | 0.428804 |
| long-term illness | 0.481315 |
| new diagnostic criteria | 0.557353 |
| PEM | 0.255933 |
| MyalÂgic Encephalomyelitis/Chronic Fatigue | 0.602573 |
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Centers for Disease Control and Prevention |
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CDC Press Conference on laboratory quality and safety after recent lab incidents | Transcript | CDC Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| CDC | 0.777976 |
| Dr. Michael Bell | 0.479208 |
| questions | 0.469113 |
| American people | 0.465035 |
| appropriate disciplinary action | 0.468301 |
| laboratory safety protocols | 0.46981 |
| CDC highlights steps | 0.489973 |
| things | 0.458537 |
| CDC’s laboratory | 0.498915 |
| avian flu | 0.459749 |
| world health organization | 0.471629 |
| events | 0.47766 |
| influenza laboratory | 0.514665 |
| anthrax exposure incident | 0.459311 |
| Director Tom Frieden | 0.511882 |
| work | 0.506274 |
| tom frieden | 0.921411 |
| critical control points | 0.466023 |
| anthrax | 0.528189 |
| Dr. Bell | 0.530509 |
| laboratory | 0.740817 |
| phone | 0.497052 |
| laboratories | 0.57314 |
| select agents | 0.505422 |
| wonderful laboratory scientists | 0.458654 |
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| smallpox containment laboratory | 0.466035 |
| fact | 0.475583 |
| single point | 0.503528 |
| wall street journal | 0.461204 |
| nancy snyderman | 0.472234 |
| CDC laboratory staff | 0.525082 |
| incidents | 0.541333 |
| recent laboratory incidents | 0.480954 |
| potential exposure | 0.479128 |
| CDC employees | 0.464987 |
| CDC share | 0.465245 |
| question | 0.610504 |
| CDC’s influenza | 0.479336 |
| lab safety incidents | 0.468041 |
| adequate laboratory oversight | 0.459658 |
| CDC laboratories | 0.48913 |
| CDC scientists | 0.468178 |
| people | 0.537973 |
| laboratory safety | 0.644228 |
| OPERATOR | 0.465299 |
| culture | 0.472431 |
| investigation | 0.464605 |
| Dr. Frieden | 0.73878 |
| incident | 0.500956 |
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Centers for Disease Control and Prevention |
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Nuclear Power Plant Incident| Infographic |
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Centers for Disease Control and Prevention |
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WHO Region of the Americas (AMR) 2012-2013 |
Overview of the CDC Influenza Division International Program WHO Region of the Americas (AMR), its objectives and goals, and contains downloadable annual reports on supported countries. |
| avian influenza | 0.435 |
| regional influenza surveillance | 0.546565 |
| National Influenza Pandemic | 0.462203 |
| Global Influenza Surveillance | 0.653825 |
| severe influenza | 0.436074 |
| influenza SARI surveillance | 0.637026 |
| Influenza Surveillance Specialist | 0.580525 |
| SARI event surveillance | 0.493911 |
| El Salvador | 0.543372 |
| SARI surveillance implementation | 0.466894 |
| CDC Influenza Division | 0.474268 |
| World Health Organization | 0.411116 |
| seasonal influenza | 0.436732 |
| countries | 0.446181 |
| sari surveillance | 0.973027 |
| Influenza Division | 0.524139 |
| influenza surveillance | 0.72649 |
| influenza platforms | 0.458193 |
| American Health Organization | 0.775187 |
| paho region | 0.438128 |
| pandemic influenza plans | 0.452631 |
| PAHO NIC meeting | 0.501604 |
| influenza | 0.824762 |
| novel influenza | 0.487811 |
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| Pandemic Influenza Guidance | 0.444792 |
| National Influenza Centers | 0.541228 |
| Pan American Health | 0.77764 |
| PAHO National Influenza | 0.681745 |
| Costa Rica | 0.64268 |
| pandemic influenza | 0.600907 |
| Influenza Surveillance Network | 0.542055 |
| health care workers | 0.516418 |
| influenza laboratory data | 0.467267 |
| SARI cases | 0.41602 |
| country influenza coordinators | 0.432669 |
| virologic influenza | 0.418014 |
| National Influenza Center | 0.538064 |
| novel influenza strains | 0.486212 |
| SARI surveillance trainings | 0.451144 |
| current influenza platforms | 0.454834 |
| Influenza Laboratory Specialist | 0.438386 |
| SARI surveillance sites | 0.487991 |
| influenza cooperative agreements | 0.500193 |
| local influenza labs | 0.479826 |
| novel influenza vaccines | 0.465274 |
| Dominican Republic | 0.491033 |
| 2009 influenza pandemic | 0.461396 |
| Enhanced SARI Surveillance | 0.466122 |
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Study Looks at Flu Vaccine Dosing in Children |
Study Looks at Flu Vaccine Dosing in Children |
| previous season | 0.273955 |
| flu infection | 0.391819 |
| immune protection | 0.277616 |
| best way | 0.26446 |
| naive young children | 0.334321 |
| early indications | 0.265411 |
| children | 0.526179 |
| residual immunity | 0.288432 |
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| CDC website | 0.27101 |
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| Influenza Vaccination Resources | 0.364366 |
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| Infectious Disease Journal | 0.460022 |
| vaccine effectiveness | 0.432126 |
| high risk | 0.264981 |
| Flu activity | 0.389916 |
| study | 0.362612 |
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| doses | 0.407406 |
| Health Professionals | 0.260881 |
| United States | 0.394283 |
| chronic health conditions | 0.316134 |
| flu vaccine | 0.92656 |
| flu complications | 0.456191 |
| neurodevelopmental disorders | 0.268 |
| influenza B components | 0.290718 |
| higher risk | 0.26106 |
| point estimates | 0.269323 |
| current CDC | 0.274142 |
| potentially serious complications | 0.266418 |
| 2015-2016 season | 0.266605 |
| Pediatric Infectious Disease | 0.458419 |
| severe outcomes | 0.264398 |
| study season | 0.318804 |
| vaccine effectiveness data | 0.425946 |
| vaccination history | 0.364081 |
| ACIP recommendations | 0.27206 |
| previously vaccinated children | 0.357588 |
| residual protection | 0.273559 |
| study seasons | 0.268212 |
| visit Children | 0.271949 |
| age | 0.299371 |
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