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CDC A-Z Index - N |
CDC A-Z Index |
| Public Health Improvement | 0.652605 |
| Nipah Virus Infection | 0.686503 |
| National Health Interview | 0.749887 |
| National Hospital Discharge | 0.626762 |
| Search Form Controls | 0.683661 |
| Comprehensive Cancer Control | 0.635281 |
| National Electronic Disease | 0.737462 |
| National Public Health | 0.740481 |
| National Notifiable Diseases | 0.733585 |
| Health Improvement Initiative | 0.647528 |
| National Health Statistics | 0.748722 |
| National Comprehensive Cancer | 0.654415 |
| Substance Incidents Program | 0.648305 |
| Surveillance Program | 0.593867 |
| A-Z Index | 0.940917 |
| National Nursing Home | 0.72759 |
| National Amyotrophic Lateral | 0.630953 |
| National Healthcare Safety | 0.73167 |
| National Breast | 0.614836 |
| National Home | 0.618883 |
| National Influenza Vaccination | 0.737537 |
| National Syndromic Surveillance | 0.66207 |
| Nutrition Examination Survey | 0.659663 |
| National Outbreak | 0.621119 |
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| Cancer Early Detection | 0.66115 |
| New Vaccine Surveillance | 0.682127 |
| Early Detection Program | 0.668838 |
| NNDSS Modernization Initiative | 0.615006 |
| Notifiable Diseases Surveillance | 0.698498 |
| Vaccine Surveillance Network | 0.68042 |
| Health Interview Survey | 0.681802 |
| Toxic Substance Incidents | 0.629666 |
| Enteric Virus Surveillance | 0.688924 |
| National Health Report | 0.66235 |
| National Vital Statistics | 0.624782 |
| National Program | 0.596265 |
| National Respiratory | 0.60901 |
| Electronic Disease Surveillance | 0.701435 |
| National Health | 0.803694 |
| Cancer Control Program | 0.678666 |
| Hospice Care Survey | 0.658301 |
| NIOSH Pocket Guide | 0.648496 |
| Nursing Home Survey | 0.660632 |
| National Toxic Substance | 0.710966 |
| Health Statistics Reports | 0.665937 |
| Healthcare Safety Network | 0.649953 |
| CDC A-Z Index | 0.709533 |
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Endosulfan - 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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NIOSH Fast Facts: Protecting Yourself from Stinging Insects (2010-117) |
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| medical ID jewelry | 0.813455 |
| ice | 0.42562 |
| areas | 0.424187 |
| body | 0.423413 |
| shampoos | 0.430261 |
| animal carcasses | 0.522027 |
| venom | 0.457474 |
| wasps | 0.427711 |
| Wash | 0.424148 |
| ants bite | 0.676261 |
| single stinging insect | 0.707086 |
| bees | 0.485898 |
| Remain | 0.424318 |
| severe chest pain | 0.636799 |
| immediate medical attention | 0.608729 |
| allergy | 0.448383 |
| history | 0.445224 |
| swelling | 0.44398 |
| water | 0.44685 |
| hornets | 0.426547 |
| stinging insects | 0.592221 |
| Outdoor workers | 0.538208 |
| nausea | 0.425296 |
| chemical | 0.423044 |
| pustules | 0.444556 |
|
| mild discomfort | 0.549898 |
| ant mounds | 0.524955 |
| death | 0.425624 |
| immediate medical care | 0.654679 |
| smooth-finished clothing | 0.529226 |
| Wear clothing | 0.521587 |
| flowering plants | 0.532607 |
| burning sensation | 0.650706 |
| perfumed soaps | 0.542108 |
| Rub | 0.426893 |
| jaws | 0.423536 |
| stings | 0.505795 |
| severe sweating | 0.547702 |
| Red bumps | 0.648758 |
| Tuck pants | 0.516933 |
| severe allergic reactions | 0.942142 |
| Wear clean clothing | 0.624229 |
| bites | 0.450794 |
| food | 0.424058 |
| stay | 0.42422 |
| site | 0.424197 |
| epinephrine autoinjector | 0.660097 |
| stinging insect | 0.730226 |
| risk | 0.452345 |
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| 8046 |
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Built Environment and Health Initiative |
NCEH/ATSDR Program Overviews/State Fact Sheets |
| infrastructure changes | 0.628592 |
| populated U.S. cities | 0.668049 |
| Crook County | 0.701748 |
| health information | 0.6879 |
| local decisions | 0.630104 |
| health impact | 0.680453 |
| locally relevant decisions | 0.704522 |
| active transportation | 0.63565 |
| health conditions | 0.691231 |
| local governments | 0.722195 |
| CDC-funded HIA | 0.658019 |
| health care expenditures | 0.75879 |
| Environmental Health | 0.662486 |
| HIA recommendations | 0.653212 |
| local decision makers | 0.715675 |
| state community design | 0.707051 |
| Community Design Initiative | 0.72834 |
| traditional public health | 0.772641 |
| HIA data | 0.666964 |
| City Health Officials | 0.748093 |
| community health | 0.675469 |
| Health Initiative | 0.819936 |
| biennial Benchmarking Report | 0.665962 |
| transportation projects | 0.628352 |
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| environmental public health | 0.771549 |
| transportation infrastructure | 0.639665 |
| negative health effects | 0.759348 |
| CDC funding | 0.710956 |
| transportation environment | 0.647751 |
| Assists health | 0.661719 |
| land-use projects | 0.629846 |
| Forms strategic partnerships | 0.679438 |
| public health | 0.884794 |
| 3-year cooperative agreements | 0.695205 |
| bicyclist injury deaths | 0.697005 |
| good health | 0.746061 |
| health modeling tools | 0.76199 |
| health | 0.923264 |
| CDC partners | 0.647254 |
| Nashville Metropolitan Planning | 0.6887 |
| transportation | 0.710222 |
| Supports HIA training | 0.747184 |
| National Park Service | 0.689 |
| leverages environmental data | 0.685793 |
| high blood pressure | 0.689811 |
| recent BEHI HIA | 0.759389 |
| transportation decisions | 0.650944 |
| known risk factor | 0.686184 |
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PanFlu Storybook - Finding A Cure, Judy McLaughlin Seggerson |
Finding A Cure, One of the most important challenges, for health communicators today, is helping the public to understand that a flu shot will not be readily available when the next pandemic strikes. Once the virus is identified, it will take several months to produce a vaccine. In 1918, in desperation, people tried a variety of methods to cure the sick —some practical and effective, others questionable and even amusing. |
| Art | 0.938954 |
| John Seggerson | 0.432802 |
| Indiana | 0.236943 |
| father | 0.223908 |
| Judy McLaughlin Seggerson | 0.854687 |
| flu epidemic | 0.536226 |
| Agnes McLaughlin | 0.647693 |
| house | 0.289376 |
| flu–related death | 0.406433 |
| guards | 0.224829 |
| mother | 0.230742 |
| Agnes | 0.991729 |
| East Chicago | 0.901089 |
| block | 0.373225 |
| grandfather | 0.238525 |
|
| Jane McLaughlin Meyer | 0.701565 |
| sister | 0.229324 |
| train | 0.222434 |
| Oil City | 0.94386 |
| young daughters | 0.365317 |
| Listerine® | 0.216502 |
| pass | 0.205793 |
| epidemic | 0.566344 |
| Art McLaughlin | 0.459092 |
| sick people | 0.395935 |
| Uncle Harry | 0.654901 |
| little Judy | 0.488946 |
| time | 0.295243 |
| family | 0.338626 |
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Preventing Chronic Disease | Defining and Measuring Chronic Conditions: Imperatives for Research, Policy, Program, and Practice - CDC |
We outline a conceptual model for improving understanding of and standardizing approaches to defining, identifying, and using information about chronic conditions in the United States. We illustrate this model’s operation by applying a standard classification scheme for chronic conditions to 5 national-level data systems. |
| Medical Expenditure Panel | 0.509908 |
| Chronic Care | 0.506017 |
| Condition Data Warehouse | 0.566308 |
| single chronic condition | 0.5343 |
| HHS data systems | 0.521388 |
| selected conditions | 0.49113 |
| chronic conditions data | 0.570935 |
| measure chronic conditions | 0.550549 |
| concurrent chronic conditions | 0.528109 |
| National Health Interview | 0.504886 |
| multiple chronic conditions | 0.637813 |
| Expenditure Panel Survey | 0.504871 |
| chronic condition | 0.721854 |
| Health Interview Survey | 0.505552 |
| data elements | 0.520833 |
| different data systems | 0.491522 |
| specific data systems | 0.491302 |
| chronic illnesses | 0.504988 |
| DefinitionA chronic disease | 0.504723 |
| individual chronic conditions | 0.576577 |
| OASH list | 0.498329 |
| chronic disease | 0.574918 |
| chronic disease data | 0.55827 |
| Medical condition data | 0.491038 |
| CMS Chronic Condition | 0.521983 |
|
| chronic kidney disease | 0.538059 |
| classification scheme | 0.508615 |
| United States | 0.490566 |
| national-level data systems | 0.498648 |
| chronic disease indicators | 0.517196 |
| Services Chronic Condition | 0.512945 |
| chronic condition indicators | 0.523111 |
| multiple risk factors | 0.496043 |
| data sets | 0.50562 |
| standard classification scheme | 0.500987 |
| ambulatory medical care | 0.492781 |
| public health | 0.61618 |
| Chronic Condition Data | 0.6477 |
| individual chronic diseases | 0.525736 |
| ongoing medical care | 0.685144 |
| multiple data systems | 0.5544 |
| chronic diseases | 0.527738 |
| data collection | 0.508613 |
| chronic conditions | 0.905479 |
| various data systems | 0.509508 |
| Chronic Condition Indicator | 0.52352 |
| chronic illness | 0.528647 |
| data systems | 0.777977 |
| conceptual model | 0.541291 |
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Email Updates: August 26, 2013'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. |
| CDC | 0.996111 |
| Blood Disorders Website | 0.580844 |
| Emergency Preparedness | 0.577589 |
| Respiratory Syndrome Coronavirus | 0.599078 |
| FDA Safety Information | 0.595807 |
| sickle cell disease | 0.728797 |
| – (CDC) | 0.729443 |
| new avian influenza | 0.586814 |
| CDC Science Clips | 0.831601 |
| Additional COCA Conference | 0.601518 |
| CDC Influenza Division | 0.807589 |
| important safety information | 0.580517 |
| new H7N9 virus | 0.57807 |
| novel coronavirus | 0.506712 |
| health care providers | 0.700249 |
| Weekly Flu View | 0.580449 |
| Free CE credit/contact | 0.578515 |
| human medical products | 0.564014 |
| State-specific Information | 0.51655 |
| free materials page | 0.580407 |
| Current Travel Warnings | 0.56838 |
| public health officials | 0.601105 |
| seasonal flu | 0.558424 |
| health gaps | 0.537124 |
|
| CDC’s Division | 0.748889 |
| recent ACIP recommendations | 0.616777 |
| Event Reporting Program | 0.56479 |
| recent vaccine recommendations | 0.591935 |
| East Respiratory Syndrome | 0.707362 |
| Health Professionals | 0.592348 |
| respiratory illness | 0.585071 |
| United States | 0.579602 |
| COCA Email Update | 0.635412 |
| public health community | 0.624537 |
| Immunization Practices | 0.510851 |
| Advisory Committee | 0.506067 |
| public health | 0.749897 |
| potential public health | 0.618775 |
| Specific Hazards preparedness | 0.591886 |
| Middle East Respiratory | 0.707401 |
| available immunization resources | 0.606953 |
| in-person training centers | 0.574214 |
| FoodSafety.gov Reports FDA | 0.584865 |
| severe respiratory illness | 0.582422 |
| weekly influenza surveillance | 0.58029 |
| USDA Food Recalls | 0.568611 |
| Response Training Resources | 0.590768 |
| CDC subject matter | 0.834983 |
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News and Press Releases: Conferences: Weight of the Nation | DNPAO | CDC |
null |
| key sessions | 0.533542 |
| CDC | 0.341048 |
| obesity prevention strategies | 0.887778 |
| environmental strategies | 0.564886 |
| measurement data protocols | 0.680328 |
| corresponding handouts | 0.542895 |
| United States | 0.516844 |
| policy level change | 0.695902 |
| live webcasts | 0.543492 |
| session window | 0.537577 |
| environmental change | 0.52129 |
| policies | 0.336357 |
| Public Health web | 0.728848 |
| useful resources | 0.509145 |
| inaugural conference | 0.566314 |
| Implementation | 0.334589 |
| active living | 0.516843 |
| obesity prevention strategy | 0.848711 |
| recommended strategies | 0.535828 |
| measures | 0.336107 |
| Adobe Acrobat Reader | 0.698809 |
| problem | 0.336458 |
| DNPAO | 0.341886 |
| additional links | 0.529071 |
|
| obesity prevention | 0.99961 |
| local governments | 0.73323 |
| school districts | 0.517232 |
| Prevent Obesity | 0.688051 |
| Acrobat Reader software | 0.695903 |
| entirety | 0.35595 |
| Recommended Community Strategies | 0.715788 |
| healthy eating | 0.743505 |
| control | 0.341727 |
| Measurement Guide | 0.507131 |
| satellite broadcasts | 0.534476 |
| Weight | 0.377126 |
| physical activity | 0.523098 |
| MMWR report | 0.517974 |
| Nation conference | 0.52331 |
| forum | 0.341254 |
| site | 0.3379 |
| Alabama Department | 0.533668 |
| comprehensive set | 0.52532 |
| files | 0.361084 |
| progress | 0.334597 |
| associated measurements | 0.528451 |
| communities | 0.369212 |
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Centers for Disease Control and Prevention |
Html |
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Risk Factors for Breast Cancer at a Young Age |
In addition to the risk factors all women face, some risk factors put young women at a higher risk for getting breast cancer at a young age. |
| young women | 0.422321 |
| LCIS | 0.335229 |
| close relatives | 0.557024 |
| woman | 0.323162 |
| ductal carcinoma | 0.427773 |
| Ashkenazi Jewish heritage | 0.524665 |
| changes | 0.335074 |
| BRCA1 | 0.320123 |
| BRCA2 | 0.320103 |
| dense breasts | 0.42992 |
| young age | 0.421526 |
| breast health problems | 0.616086 |
| mammogram | 0.335459 |
| atypical ductal hyperplasia | 0.544521 |
| addition | 0.323521 |
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| higher risk | 0.531913 |
| risk factors | 0.753364 |
| situ | 0.35592 |
| chest | 0.325331 |
| characteristics | 0.320655 |
| childhood | 0.320798 |
| ovarian cancer | 0.426766 |
| genes | 0.323295 |
| breast cancer | 0.912852 |
| breast cancer if— | 0.648017 |
| lobular carcinoma | 0.428297 |
| certain breast cancer | 0.641796 |
| family history | 0.409967 |
| radiation therapy | 0.414001 |
| atypical lobular hyperplasia | 0.543891 |
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Centers for Disease Control and Prevention |
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Announcement: National Cleft and Craniofacial Awareness andPrevention Month - July 2015 |
July is National Cleft and Craniofacial Awareness and Prevention Month, a time to raise awareness and improve understanding of orofacial clefts (clefts of the lip and palate) and other conditions of the head and face. Each year in the United States, approximately 2,600 babies are born with a cleft palate and 4,400 babies are born with a cleft lip, with or without a cleft palate (1). Other craniofacial birth defects include craniosynostosis (skull sutures fusing prematurely), anotia/microtia (ear is missing or underdeveloped), and anophthalmia/microphthalmia (missing or abnormally small eye). |
| population-based birth defects | 0.583907 |
| important public health | 0.538404 |
| United States | 0.599542 |
| U.S. Government Printing | 0.513078 |
| original MMWR paper | 0.509792 |
| orofacial clefts | 0.802131 |
| Human Services | 0.519642 |
| National Cleft | 0.568952 |
| craniofacial condition | 0.507567 |
| health care–service | 0.480798 |
| National Birth Defects | 0.674274 |
| U.S. Department | 0.517776 |
| MMWR HTML versions | 0.511515 |
| MMWR readers | 0.463606 |
| Craniofacial Awareness | 0.573006 |
| orofacial cleft | 0.551541 |
| Mai CT | 0.527044 |
| cleft lip | 0.518752 |
| health outcomes | 0.479556 |
| craniofacial birth defects | 0.656424 |
| Birth defects data | 0.579918 |
| skull sutures | 0.476185 |
| language development | 0.468554 |
| electronic PDF version | 0.507212 |
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| health care providers | 0.612662 |
| craniofacial conditions | 0.514845 |
| Clin Mol Teratol | 0.645616 |
| Canfield MA | 0.46591 |
| risk factors | 0.464653 |
| medication treatment | 0.464604 |
| control diabetes | 0.462979 |
| National Birth Prevalence | 0.53967 |
| Additional information | 0.465043 |
| Contact GPO | 0.469982 |
| typeset documents | 0.460957 |
| cleft palate | 0.567969 |
| Cassell CH | 0.466175 |
| trade names | 0.461444 |
| commercial sources | 0.461409 |
| high prevalence | 0.472195 |
| preventable causes | 0.468861 |
| birth defects | 0.92772 |
| greater number | 0.46842 |
| craniofacial defects | 0.565506 |
| non-CDC sites | 0.460676 |
| original paper copy | 0.509055 |
| et al | 0.52325 |
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