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Healthy Swimming Year-Round | CDC Features |
Pools, waterparks, hot tubs/spas, splash pads, and water playgrounds are great places to have fun, be active, or just relax. Having fun while you swim this summer means knowing how to stay healthy and safe while enjoying the water! |
| CDC | 0.580904 |
| emergency rooms | 0.688076 |
| water playgrounds | 0.754572 |
| lifeguards | 0.538262 |
| memory problems | 0.686537 |
| young children | 0.684719 |
| life vests | 0.686156 |
| germs | 0.92516 |
| unintentional injury death | 0.85371 |
| brain damage | 0.681279 |
| diarrhea | 0.915745 |
| water | 0.906705 |
| hot tubs/spas | 0.734642 |
| promotion materials page | 0.879781 |
| sun safety | 0.693959 |
| mouthful | 0.536569 |
| Healthy Swimming | 0.778798 |
| health benefits | 0.881604 |
| permanent vegetative state | 0.842517 |
| Shigella | 0.547396 |
| O157 | 0.536985 |
| shower | 0.575016 |
| Check diapers | 0.699337 |
| United States | 0.729818 |
| permanent loss | 0.681184 |
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| cause | 0.542175 |
| summer | 0.61987 |
| safe swimming | 0.724168 |
| cardiopulmonary resuscitation | 0.697462 |
| diarrheal incident | 0.728605 |
| Crypto outbreaks | 0.731178 |
| popular sports activities | 0.919987 |
| waterparks | 0.55521 |
| E. coli | 0.715257 |
| kids | 0.578782 |
| diaper-changing area–not poolside–to | 0.854521 |
| swimming-related outbreaks | 0.722673 |
| Cryptosporidium | 0.545345 |
| Swimmers | 0.575124 |
| birth defects | 0.687728 |
| physical activity | 0.89362 |
| H7 | 0.555049 |
| chlorine | 0.538931 |
| simple steps | 0.694723 |
| great places | 0.734328 |
| diarrheal germs | 0.87467 |
| Giardia | 0.545327 |
| risk | 0.537588 |
| fun | 0.540811 |
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Rapidly Building Global Health Security Capacity - UgandaDemonstration Project, 2013 |
Jeff N. Borchert, MS1, Jordan W. Tappero, MD2, Robert Downing, PhD3, Trevor Shoemaker, MPH4, Prosper Behumbiize, MPH3, Jane Aceng, MBChB5, Issa Makumbi, MBChB5, Melissa Dahlke, MPH6, Bassam Jarrar, MBA2, Briana Lozano MPH3, Sam Kasozi6, Mark Austin7, Dru Phillippe7, Ian D. |
| CDC | 0.663396 |
| health security capacity | 0.66348 |
| avoidable health threats | 0.655561 |
| Uganda Ministry | 0.650613 |
| Uganda Central Public | 0.660222 |
| demonstration project | 0.706384 |
| Uganda GHS project | 0.691409 |
| national level laboratory | 0.65091 |
| demonstration project districts | 0.660565 |
| similar health systems | 0.658124 |
| emergency operations center | 0.675596 |
| public health threats | 0.814377 |
| laboratory staff members | 0.778945 |
| higher-level health centers†| 0.652493 |
| Zoonotic Infectious Diseases | 0.756627 |
| viral hemorrhagic fever | 0.669382 |
| GHS demonstration project | 0.659312 |
| public health emergency | 0.81238 |
| information systems | 0.733946 |
| disease surveillance | 0.648006 |
| health security enhancements | 0.647704 |
| public health | 0.980872 |
| priority pathogens | 0.679777 |
| National Center | 0.73315 |
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| health emergency coordination | 0.655372 |
| international health agencies | 0.653771 |
| Field Epidemiology Network | 0.809622 |
| national reference laboratory | 0.657827 |
| Global Health Protection | 0.649937 |
| early infant diagnosis | 0.732846 |
| specimen transportation network | 0.686561 |
| World Health Organization | 0.666142 |
| public health emergencies | 0.750293 |
| Uganda District Health | 0.754036 |
| specimen referral networks | 0.672301 |
| health emergency operations | 0.723143 |
| public health function | 0.714397 |
| regional referral hospitals | 0.650981 |
| African Field Epidemiology | 0.758121 |
| public health response | 0.687879 |
| Health Laboratory staff | 0.674473 |
| national health data | 0.691467 |
| Uganda MoH | 0.660484 |
| International Health Regulations | 0.727467 |
| public health laboratory | 0.821619 |
| global health security | 0.835399 |
| public health information | 0.696607 |
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Observations on incentives to improve population health. |
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| Prev Chronic Dis | 0.750638 |
| population health improvement | 0.540131 |
| Health Insurance Program | 0.495145 |
| population health rankings | 0.568635 |
| potential public threat | 0.452925 |
| New York State | 0.452436 |
| national health investment | 0.506987 |
| social investment strategy | 0.464235 |
| health sector | 0.465229 |
| poor performance scores | 0.456528 |
| population health | 0.927827 |
| care payment systems | 0.467475 |
| Structure economic reward | 0.452484 |
| health dollar | 0.478302 |
| population health information | 0.525383 |
| health care quality | 0.496571 |
| health status | 0.474463 |
| population health measures | 0.556968 |
| common elements | 0.456332 |
| key population health | 0.538767 |
| health care settings | 0.49533 |
| economic incentives | 0.463406 |
| Enable. Choose metrics | 0.463256 |
| population health performance | 0.528807 |
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| Chronic Disease | 0.46254 |
| health care needs | 0.510261 |
| personal health services | 0.500066 |
| Signal. Choose metrics | 0.463519 |
| Celebrate. Choose metrics | 0.463391 |
| Choose metrics | 0.470905 |
| European experience | 0.453193 |
| better health returns | 0.503537 |
| MATCH articles | 0.453078 |
| Action Toward Community | 0.459442 |
| health system performance | 0.478937 |
| multiple incentive approaches | 0.452621 |
| population health incentives | 0.55065 |
| Community Health | 0.497048 |
| health care | 0.640174 |
| clinical preventive services | 0.453941 |
| health care payment | 0.588212 |
| graduate medical education | 0.457683 |
| health equivalent | 0.477924 |
| community’s health | 0.481254 |
| potential incentives | 0.468402 |
| performance metrics | 0.456838 |
| potential detrimental consequences | 0.458195 |
| salient incentives | 0.46607 |
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2012-13 Latest Flu Season in Nearly Three Decades in U.S. |
CDC Says U.S. Seeing Latest Flu Season in Nearly Three Decades. |
| percent mark | 0.472114 |
| respiratory samples | 0.52978 |
| CDC guidance | 0.437232 |
| late start | 0.407611 |
| domestic surveillance | 0.405194 |
| flu activity | 0.655854 |
| widespread geographic influenza | 0.651485 |
| number | 0.340083 |
| influenza antiviral medications | 0.619852 |
| Lyn Finelli | 0.414918 |
| percentage | 0.322506 |
| respiratory specimens | 0.658588 |
| influenza activity | 0.711571 |
| greatest risk | 0.395283 |
| influenza virus infections | 0.618394 |
| baseline | 0.350545 |
| CDC tracks influenza | 0.711147 |
| ILI activity | 0.421769 |
| pediatric death | 0.407149 |
| H1N1 viruses | 0.495086 |
| marker | 0.345416 |
| influenza activity indicators | 0.674054 |
| influenza | 0.93269 |
| CDC influenza surveillance | 0.745932 |
|
| flu activity indicators | 0.655187 |
| United States | 0.51568 |
| key flu indicators | 0.809389 |
| ongoing flu season | 0.633394 |
| unsubtyped influenza | 0.560941 |
| percent | 0.55396 |
| FluView | 0.344804 |
| annual flu vaccine | 0.635419 |
| northwest regions | 0.4053 |
| increases | 0.340968 |
| CDC’s Influenza | 0.603009 |
| immune response | 0.406626 |
| early antiviral treatment | 0.480637 |
| United States result | 0.475431 |
| influenza season | 0.55212 |
| certain key flu | 0.612295 |
| flu seasons | 0.536381 |
| universal vaccination | 0.399035 |
| flu | 0.838594 |
| surveillance categories | 0.410327 |
| flu season | 0.763136 |
| Mexico | 0.335601 |
| time | 0.369021 |
| hospitalizations | 0.324283 |
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Veterans' Health Activities - Defining Gulf War Illness |
CDC's National Center for Environmental Health (NCEH) has taken the lead for HHS in addressing the health concerns of veterans of the Vietnam War and the Gulf War, and NCEH is working with the Departments of Defense and Veterans Affairs to protect the health of our future military forces. |
| characterized Gulf War | 0.504804 |
| previous study | 0.383975 |
| medically unexplained illnesses | 0.50348 |
| navigation Skip | 0.450593 |
| points | 0.313111 |
| investigators | 0.313301 |
| Department | 0.312839 |
| study subjects | 0.384809 |
| fibromyalgia | 0.314148 |
| different approaches | 0.383007 |
| CDC Air Force | 0.452638 |
| unexplained multi-symptom illnesses | 0.481478 |
| Gulf War Registry | 0.511237 |
| new random sample | 0.433017 |
| case definitions | 0.482015 |
| active duty soldiers | 0.432278 |
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| list Skip | 0.452293 |
| page options Skip | 0.527221 |
| Data-driven case definitions | 0.457034 |
| Johnson Medical School | 0.449669 |
| groups | 0.324952 |
| multiple chemical sensitivity | 0.441799 |
| Dentistry | 0.313924 |
| New Jersey-Robert Wood | 0.463921 |
| Medicine | 0.313245 |
| symptoms | 0.313172 |
| Gulf War veterans | 0.944122 |
| University | 0.313257 |
| War era veterans | 0.505418 |
| Veterans Affairs | 0.451314 |
| chronic fatigue syndrome | 0.440257 |
| time | 0.313098 |
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The State of Aging and Health in America - Aging |
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| interactive data website | 0.890891 |
| Action | 0.343854 |
| report series | 0.625163 |
| CDC | 0.382772 |
| injuries | 0.355824 |
| Spotlights | 0.384985 |
| professionals | 0.349267 |
| local levels | 0.617236 |
| features | 0.343599 |
| America | 0.350733 |
| Aging | 0.435233 |
| health care providers | 0.818165 |
| highlight model intervention | 0.881404 |
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| Program | 0.349976 |
| Calls | 0.358528 |
| state success stories | 0.818186 |
| physical activity | 0.582269 |
| joint effort | 0.645046 |
| older adults | 0.632761 |
| older adult health | 0.940539 |
| thoughtful recommendations | 0.633673 |
| healthier lives | 0.620197 |
| Merck Company Foundation | 0.940741 |
| key indicators | 0.641716 |
| current data | 0.615743 |
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E-mail Updates'Health Alert Network (HAN) |
Health Alert Network (HAN). Provided by the Centers for Disease Control and Prevention (CDC). |
| state drop-down list | 0.561758 |
| following steps | 0.360992 |
| drop-down list box | 0.959779 |
| HAN Update Alerts | 0.785167 |
| HAN alerts | 0.433815 |
| new HANs | 0.257545 |
|
| country drop-down list | 0.528182 |
| new HAN | 0.442328 |
| five-digit zip code | 0.493611 |
| previous steps | 0.297146 |
| delivery preferences | 0.307217 |
| e-mail address | 0.258893 |
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Real Stories of the Dangers of Raw Milk - Food Safety |
Information about the risks of consuming raw milk. |
| healthier way | 0.622727 |
| email address | 0.640764 |
| husband | 0.512195 |
| video | 0.520396 |
| lactose | 0.451601 |
| recent work | 0.642074 |
| small town | 0.636989 |
| Missouri | 0.44307 |
| Mary McGonigle-Martin | 0.602615 |
| trouble | 0.442675 |
| raw milk | 0.936029 |
| son drank | 0.61683 |
| goat’s milk | 0.734698 |
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| monthly update | 0.645267 |
| homework | 0.448936 |
| kind | 0.441415 |
| local farmer | 0.627658 |
| family live | 0.62604 |
| California | 0.438674 |
| 7-year-old son | 0.62667 |
| single mom | 0.618624 |
| cow’s milk | 0.736988 |
| Julie Riggs | 0.669023 |
| infectious disease | 0.646787 |
| Kalee Prue | 0.608932 |
| daughter | 0.508012 |
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Update: Sick airline passenger, Newark | Media Statement | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| travel plans | 0.514716 |
| flight | 0.261621 |
| CDC | 0.634089 |
| abundance | 0.277723 |
| Quarantine Public Health | 0.915119 |
| Newark Liberty International | 0.911558 |
| precautionary protocols | 0.591855 |
| concern | 0.271538 |
| coordination | 0.270724 |
| medical evaluation | 0.537047 |
| state | 0.304885 |
| airline | 0.259123 |
| contact information | 0.50692 |
| passengers | 0.34967 |
| Brussels | 0.278478 |
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| local hospital | 0.528617 |
| Border Protection | 0.52158 |
| ill passenger | 0.60597 |
| public health officials | 0.848152 |
| emergency department | 0.524503 |
| New Jersey | 0.576544 |
| Homeland Security | 0.542042 |
| Customs | 0.258154 |
| hospital officials | 0.547834 |
| Belgium | 0.261432 |
| West Africa | 0.572828 |
| Airport | 0.261129 |
| Ebola | 0.293807 |
| sick passenger | 0.692644 |
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Obesity Causes | Adult | Obesity |
Obesity is a serious concern because it is associated with poorer mental health outcomes, reduced quality of life, and the leading causes of death in the U.S. Learn more... |
| safe bike trails | 0.561519 |
| healthy diet pattern | 0.684693 |
| visit Health Effects | 0.580437 |
| health care provider | 0.588421 |
| Indirect costs | 0.566602 |
| nationwide productive costs | 0.565302 |
| vigorous intensity activity | 0.575437 |
| Additional contributing factors | 0.572402 |
| Obesity results | 0.724527 |
| complex health issue | 0.59687 |
| Health care practitioners | 0.58808 |
| obesity | 0.907087 |
| community environmental factors | 0.567637 |
| poorer mental health | 0.595951 |
| U.S. health care | 0.589266 |
| medical care costs | 0.573508 |
| healthy environment | 0.560208 |
| Obesity Research. | 0.675063 |
| family health history | 0.657123 |
| monogenic obesity | 0.699993 |
| health problems | 0.588936 |
| regular physical activity | 0.638722 |
| long term health | 0.594174 |
| Obesity Expert Panel. | 0.70845 |
| Prevent Obesity page | 0.729355 |
|
| moderate intensity activity | 0.574739 |
| healthy school environment | 0.588741 |
| United States | 0.590024 |
| weight gain | 0.587346 |
| Direct medical costs | 0.569829 |
| energy balance | 0.56392 |
| polycystic ovary syndrome | 0.558105 |
| obesity-related health reasons | 0.581094 |
| Physical Activity Guidelines | 0.5869 |
| Obesity Research.1998 | 0.681478 |
| healthy eating habits | 0.57091 |
| School Health website | 0.588346 |
| heart disease | 0.570697 |
| Healthy Food Environment | 0.590386 |
| health care | 0.629457 |
| physical activity environment | 0.596659 |
| multifactorial obesity | 0.700305 |
| fat-free dairy products | 0.563665 |
| economic impact | 0.558928 |
| healthy weight | 0.606843 |
| physical activity | 0.709002 |
| obesity epidemic | 0.755619 |
| obesity obesity-related absenteeism | 0.716291 |
| Public Health Service | 0.577243 |
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