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Winnable Battles - Focus Areas |
CDC's Winnable Battles were chosen based on the scope of the health burden and our ability to make significant progress in improving outcomes. |
| measurable impact | 0.801221 |
| CDC Director | 0.57966 |
| death | 0.343065 |
| disability | 0.342991 |
| CDC leaders | 0.577869 |
| public health priorities | 0.710558 |
| effort | 0.350846 |
| burden | 0.356686 |
| public health challenges | 0.7414 |
| partnerships | 0.34776 |
| optimal strategies | 0.523404 |
| outcomes | 0.349398 |
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| scope | 0.345318 |
| causes | 0.343139 |
| effective strategies | 0.514679 |
| term | 0.339336 |
| ability | 0.338773 |
| significant progress | 0.514528 |
| winnable battles | 0.987799 |
| charge | 0.346809 |
| priority areas | 0.522283 |
| pace | 0.360037 |
| resources | 0.33732 |
| large-scale impact | 0.526696 |
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Preventing Tick Bites |
Information on ticks and tickborne disease. Provided by the U.S. Centers for Disease Control and Prevention. |
| pets | 0.419153 |
| tick-infested areas | 0.551522 |
| pants | 0.351608 |
| leaf litter | 0.599294 |
| Parents | 0.398641 |
| knees | 0.357939 |
| Treat clothing | 0.568187 |
| repellent | 0.376553 |
| belly button | 0.556434 |
| permethrin | 0.404256 |
| children | 0.398482 |
| legs | 0.350632 |
| high heat | 0.753309 |
| hot water | 0.726407 |
| additional time | 0.554183 |
| socks | 0.349914 |
| full-length mirror | 0.564956 |
| contains | 0.350668 |
| full-body tick check | 0.796968 |
| waist | 0.359121 |
| Environmental Protection Agency | 0.780797 |
| high grass | 0.587095 |
| brushy areas | 0.615772 |
| gear | 0.39946 |
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| IR3535 | 0.350525 |
| shower | 0.350246 |
| April-September | 0.354515 |
| trails | 0.356541 |
| percent | 0.356233 |
| products | 0.39336 |
| indoors | 0.429411 |
| washings | 0.382909 |
| medium temperature water | 0.749827 |
| preventive measures | 0.607388 |
| Pre-treated clothing | 0.605998 |
| product instructions | 0.581052 |
| ticks | 0.925901 |
| center | 0.356573 |
| picaridin | 0.350568 |
| low heat | 0.542395 |
| good idea | 0.604682 |
| dry clothing | 0.565412 |
| DEET | 0.368151 |
| ears | 0.352286 |
| mouth | 0.351021 |
| online tool | 0.568298 |
| extra vigilant | 0.627439 |
| dry clothes | 0.637215 |
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Organ Systems and the Chemicals that Affect Them - Endocrine Glands and Hormones |
The endocrine system consists of specialized groups of cells called glands that make, store, and release regulating chemicals called hormones directly into the bloodstream to regulate how the body functions. Some of these endocrine glands include the adrenals, chemoreceptor organs, gonads (testis and ovary), hypothalamus, pancreatic islets, parathyroid, pineal, pituitary, and thyroid. These glands secrete hormones that travel through the circulatory system to regulate the various body systems. |
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Muscular Dystrophy - Home Page |
Muscular dystrophies are a group of disorders that result in muscle weakness and a decrease in muscle mass over time. To help a child with muscular dystrophy reach his or her full potential, it is very important to get help as early as possible. |
| Becker muscular dystrophy | 0.814744 |
| CDC | 0.418868 |
| genetic disorders | 0.490542 |
| DBMD | 0.429555 |
| cure | 0.417574 |
| life | 0.429524 |
| treatments | 0.415055 |
| primary care providers | 0.54605 |
| muscular dystrophy | 0.969207 |
| ways | 0.414668 |
| Duchenne | 0.427258 |
| man | 0.416455 |
| Mental health concerns | 0.572611 |
| group | 0.416107 |
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| New diagnostic tools | 0.546462 |
| individual | 0.415138 |
| muscle weakness | 0.503555 |
| therapists | 0.416799 |
| males | 0.424649 |
| services | 0.415075 |
| quality | 0.414606 |
| different types | 0.478764 |
| Kevin | 0.416487 |
| condition | 0.416358 |
| Real Stories | 0.493105 |
| Researchers | 0.414731 |
| Muscular dystrophies | 0.620331 |
| Learn | 0.415317 |
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Email Updates: January 13, 2014'Clinicians Outreach and Communication Activity (COCA) |
CDC Clinician Outreach and Communication Activity (COCA). Providing clinicians the most current and reliable information on emerging public health threats, such as pandemics, natural disasters, and bioterrorism. |
| suspect malaria | 0.704114 |
| CDC | 0.999623 |
| avian influenza | 0.785619 |
| United States | 0.673289 |
| Emergency Preparedness | 0.662627 |
| COCA Email Update | 0.712068 |
| FDA Safety Information | 0.699302 |
| Salmonella Stanley Linked | 0.642301 |
| public health community | 0.692451 |
| U.S. Reach 40-Year | 0.686821 |
| – (CDC) | 0.750292 |
| new avian influenza | 0.713104 |
| CDC Science Clips | 0.84305 |
| human health information | 0.724611 |
| Additional COCA Conference | 0.693466 |
| CDC Influenza Division | 0.846275 |
| new H7N9 virus | 0.685532 |
| important safety information | 0.676835 |
| health care providers | 0.772017 |
| Weekly Flu View | 0.666319 |
| human medical products | 0.66281 |
| Free CE credit/contact | 0.659366 |
| Specific Hazards preparedness | 0.674402 |
| hazardous material incidents | 0.653921 |
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| malaria prevention strategies | 0.786689 |
| ongoing malaria transmission | 0.772643 |
| Virus Infection Reported | 0.697473 |
| available immunization resources | 0.68372 |
| Current Travel Warnings | 0.652371 |
| Human Avian Influenza | 0.719452 |
| seasonal flu | 0.645133 |
| subject matter expert | 0.824201 |
| in-person training centers | 0.658264 |
| malaria cases | 0.851363 |
| recent ACIP recommendations | 0.695121 |
| FoodSafety.gov Reports FDA | 0.68066 |
| Event Reporting Program | 0.653457 |
| recent vaccine recommendations | 0.67222 |
| weekly influenza surveillance | 0.681769 |
| malaria infections | 0.705669 |
| substance identification support | 0.655973 |
| emergency responders | 0.661345 |
| FDA Investigates Outbreak | 0.673584 |
| USDA Food Recalls | 0.654119 |
| Response Training Resources | 0.670618 |
| CDC subject matter | 0.997976 |
| confirmed malaria cases | 0.792001 |
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Diphtheria | Laboratory | Specimen Collection | CDC |
CDC’s Pertussis and Diphtheria Laboratory provides laboratory support to US health departments requesting assistance with isolation, identification, and sub-typing of Corynebacterium diphtheriae... |
| hospital personnel | 0.308599 |
| Diphtheria Laboratory | 0.797096 |
| B. parapertussis | 0.316429 |
| list Skip | 0.645254 |
| page options Skip | 0.937595 |
| Bordetella pertussis | 0.655266 |
| outbreak support | 0.331789 |
| Corynebacterium diphtheriae | 0.377548 |
| navigation Skip | 0.645275 |
| laboratory resources | 0.300494 |
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| CDC’s Pertussis | 0.634143 |
| B. holmesii | 0.315782 |
| diphtheria specimen collection | 0.804181 |
| U.S. health departments | 0.610287 |
| international researchers | 0.310112 |
| health departments | 0.630334 |
| C. ulcerans | 0.38734 |
| laboratory support | 0.326071 |
| local health departments | 0.582167 |
| serologic methods | 0.296695 |
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February 2014 ACIP Meeting -- Human Papillomavirus (HPV) Vaccine |
Introduction, HPV type attribution in high grade cervical lesions in the United States, Population-Based HPV Genotype Attribution in HPV-Associated Cancers, United States, 9-valent HPV (9vHPV) Vaccine Program Key Results, and Summary and Future ACIP HPV Vaccine Workgroup Plans.
Comments on this video are allowed in accordance with our comment policy: http://www.cdc.gov/SocialMedia/Tools/CommentPolicy.html
This video can also be viewed at
http://streaming.cdc.gov/vod.php?id=336c94113b144920b256b8ae9cd4a1d220140410092058029 |
| ACIP Meeting | 0.933869 |
| Vaccine | 0.4669 |
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| Human Papillomavirus | 0.839868 |
| YouTube | 0.478533 |
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Measles | Cases and Outbreaks | CDC |
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| generalized maculopapular rash… | 0.375129 |
| CDC’s National | 0.347698 |
| unvaccinated Amish communities | 0.378963 |
| measles elimination | 0.589489 |
| outbreak investigation | 0.410338 |
| Casos y brotes | 0.349206 |
| Measles Outbreak | 0.620052 |
| large outbreaks | 0.350556 |
| measles outbreaks | 0.572983 |
| Shelby County | 0.370217 |
| Customs Enforcement | 0.373083 |
| additional information | 0.342531 |
| Associated International Traveler | 0.371444 |
| MMWR. Sep | 0.411506 |
| large measles | 0.58251 |
| California | 0.347553 |
| measles virus type | 0.599888 |
| United States Immigration | 0.387325 |
| MMWR. Vol | 0.370143 |
| Respiratory Diseases | 0.347056 |
| multi-state measles | 0.569869 |
| high vaccination coverage | 0.375744 |
| record number | 0.347253 |
| ongoing outbreak | 0.400184 |
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| United States | 0.780825 |
| MMWR. Feb | 0.346081 |
| Surveillance Manual chapter | 0.375626 |
| ongoing measles | 0.539603 |
| measles cases | 0.792359 |
| U.S. | 0.390439 |
| U.S. residents | 0.343644 |
| New York | 0.386556 |
| positive measles | 0.547347 |
| MMWR. Apr | 0.344461 |
| CDC scientists | 0.34385 |
| U.S. Immigration | 0.343945 |
| European Region | 0.343263 |
| unvaccinated people | 0.344833 |
| people | 0.365351 |
| local public health | 0.372851 |
| New Jersey | 0.347817 |
| large outbreak | 0.450494 |
| Orange County | 0.406884 |
| amusement park | 0.388359 |
| Disney theme parks | 0.369972 |
| measles | 0.958548 |
| greatest number | 0.34523 |
| outbreak control | 0.411361 |
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Notes from the Field | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| malaria patients | 0.598247 |
| muscle pains | 0.498884 |
| public health authorities | 0.501014 |
| photo-induced electron transfer | 0.479915 |
| mosquito-borne parasitic infection | 0.497177 |
| acute febrile illnesses | 0.494114 |
| general malaise | 0.501997 |
| malaria infection | 0.585435 |
| hospital parasitology laboratory | 0.494636 |
| local malaria transmission | 0.645387 |
| health care providers | 0.573756 |
| smear microscopy | 0.488994 |
| effective patient care | 0.482893 |
| total patient samples | 0.485528 |
| school trip participants | 0.56533 |
| school group | 0.51927 |
| National Malaria Surveillance | 0.639397 |
| endemic malaria | 0.621382 |
| private health institutions | 0.496665 |
| falciparum malaria | 0.642945 |
| malaria parasites | 0.619952 |
| Puerto Rico school | 0.548895 |
| Public Health Laboratory | 0.502298 |
| Puerto Rico | 0.902438 |
| additional patient specimens | 0.484066 |
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| 3Cook County Department | 0.482606 |
| original MMWR paper | 0.479906 |
| health alert notice | 0.499331 |
| malaria | 0.82742 |
| Punta Cana | 0.501289 |
| Puerto Rico Department | 0.618379 |
| 2Puerto Rico Department | 0.51235 |
| malaria symptoms | 0.586264 |
| fluorogenic real-time polymerase | 0.483872 |
| public health | 0.58323 |
| P. falciparum malaria | 0.632366 |
| dengue virus infection | 0.491569 |
| school trip participant | 0.493541 |
| Grupo HIMA San | 0.477529 |
| patient travel histories | 0.48038 |
| Public Health Preparedness | 0.499558 |
| malaria cases | 0.77148 |
| Health regional epidemiologists | 0.497626 |
| previous malaria cases | 0.64618 |
| school-organized graduation trip | 0.497729 |
| Dominican Republic | 0.680712 |
| Plasmodium falciparum malaria | 0.638006 |
| molecular diagnostic tests | 0.49345 |
| public health counterparts | 0.510199 |
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Self-Reported Sitting Time in New York City Adults, The Physical Activity and Transit Survey, 2010-2011 |
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. |
| 2-question method | 0.417648 |
| demographic characteristics | 0.359657 |
| accelerometer participants | 0.356019 |
| poverty status | 0.358252 |
| questions | 0.361413 |
| Research Triangle Institute | 0.360683 |
| AMA PRA | 0.386124 |
| distinct sedentary behavior | 0.400761 |
| New York City | 0.482566 |
| sedentary time | 0.815831 |
| health outcomes | 0.392448 |
| accelerometer-reported sitting time | 0.501343 |
| self-reported sitting time | 0.956224 |
| daily sitting time | 0.490522 |
| population surveillance | 0.364326 |
| PA levels | 0.368704 |
| accelerometer wear time | 0.410765 |
| lower education levels | 0.372126 |
| accelerometer-measured sedentary time | 0.671556 |
| recreational time | 0.362746 |
| life expectancy | 0.379109 |
| nonrecreational physical activity | 0.374726 |
| specific sedentary behavior | 0.429046 |
| high sitting times | 0.442046 |
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| New York University | 0.360524 |
| C. Sitting | 0.423006 |
| AMA PRA Category | 0.367578 |
| Journal-based CME activity | 0.354288 |
| higher mean duration | 0.369028 |
| Evening Sitting Times | 0.438301 |
| accelerometer data | 0.493403 |
| higher education levels | 0.384743 |
| self-reported data | 0.380527 |
| lipoprotein lipase activity | 0.375292 |
| sedentary activity | 0.386705 |
| sedentary behavior | 0.496584 |
| York City Health | 0.358008 |
| multiple sedentary behaviors | 0.395078 |
| accelerometer-assessed sedentary time | 0.546388 |
| physical activity | 0.448642 |
| higher levels | 0.361007 |
| self-report data | 0.355545 |
| self-reported sedentary time | 0.493049 |
| PAT Survey | 0.400832 |
| York City Department | 0.365595 |
| B. Sitting | 0.423109 |
| NYC Health Department | 0.441055 |
| mean difference | 0.416468 |
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