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Centers for Disease Control and Prevention |
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It's Your Life. Treat Your Diabetes Well. | CDC Features |
National Diabetes Month–time for a refresher on managing your type 1 or type Diabetes. |
| healthy diet | 0.425074 |
| target range—for example | 0.400159 |
| Hispanic/Latino Americans | 0.361578 |
| type | 0.478264 |
| body weight | 0.360145 |
| daily diabetes care | 0.579412 |
| healthy eating plan | 0.411638 |
| blood sugar levels—but | 0.44341 |
| healthy lifestyle | 0.420548 |
| blood flow | 0.37241 |
| Diabetes Educators | 0.52569 |
| diabetes ABCs | 0.529409 |
| risk factors | 0.407303 |
| fewer health problems | 0.406984 |
| additional health problems | 0.4096 |
| National Diabetes | 0.582946 |
| blood vessels | 0.460611 |
| blood sugar levels | 0.587779 |
| blood pressure check | 0.41918 |
| High blood sugar | 0.431891 |
| regular physical activity | 0.494579 |
| healthier life | 0.370785 |
| kidney function test | 0.403652 |
| diabetes supplies | 0.531805 |
|
| United States | 0.368976 |
| diabetes self-management education | 0.579389 |
| lower your risk | 0.360547 |
| health care appointments | 0.427934 |
| A1C test | 0.407123 |
| gestational diabetes | 0.620772 |
| healthy lifestyle choices | 0.4037 |
| heart disease | 0.393642 |
| health complications | 0.404835 |
| health care visit | 0.403864 |
| main types | 0.367968 |
| American Indians/Alaska Natives | 0.410923 |
| higher risk | 0.410045 |
| blood fats | 0.371466 |
| people | 0.361861 |
| doctor | 0.363484 |
| Pacific Islanders | 0.360746 |
| foot doctor | 0.359872 |
| average blood sugar | 0.434664 |
| healthy changes | 0.371017 |
| blood sugar | 0.792675 |
| diabetes | 0.900831 |
| diabetes educator | 0.587565 |
| similar activity | 0.361266 |
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Centers for Disease Control and Prevention |
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Preventing Ticks on Your Pets |
Information on Lyme disease. Provided by the U.S. Centers for Disease Control and Prevention. |
| commercial entity | 0.322446 |
| tick preventive product | 0.810602 |
| Mary A. Labato | 0.414437 |
| joint swelling | 0.326122 |
| Elevated Lyme disease | 0.497651 |
| dogs | 0.446149 |
| Emerg Infect Dis. | 0.415705 |
| Vet Intern Med | 0.412046 |
| Consensus Statement | 0.314079 |
| tick check | 0.640609 |
| Richard E. Goldstein | 0.412708 |
| kill ticks | 0.428447 |
| Canine Borreliosis | 0.328288 |
| tickborne disease | 0.571714 |
| painful wound | 0.332973 |
| repellent product | 0.337745 |
| Clinical signs | 0.320006 |
| topical treatments | 0.326714 |
| ACVIM Small Animal | 0.411865 |
| Small Anim Pract. | 0.438879 |
| Lawaczeck EW | 0.323732 |
| dog | 0.323597 |
| Hinckley AF | 0.322641 |
| human Lyme disease | 0.489457 |
| Companion Anim Med. | 0.438482 |
|
| Borne Zoonotic Dis. | 0.424205 |
| pesticide product | 0.340538 |
| anti-feeding effects | 0.326639 |
| Michael R. Lappin | 0.423629 |
| time outdoors | 0.331628 |
| tick preventives | 0.641818 |
| impregnated collars | 0.333161 |
| lyme disease | 0.899391 |
| Prevents | 0.281899 |
| Rocky Mountain | 0.315747 |
| tickborne diseases | 0.962035 |
| nonendemic county | 0.320544 |
| Meryl P. Littman | 0.431848 |
| tick bites | 0.614639 |
| preventive measures | 0.317405 |
| ticks | 0.479076 |
| Vet Clin | 0.323856 |
| George E. Moore | 0.407252 |
| American Companion Animals | 0.417781 |
| Canine serology | 0.318962 |
| tick bite | 0.688516 |
| Mead PS | 0.438637 |
| veterinarian | 0.278613 |
| kugeler kj | 0.448681 |
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Centers for Disease Control and Prevention |
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Stoddard solvent - NIOSH Pocket Guide to Chemical Hazards |
null |
| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
|
| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
|
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| 6139 |
Centers for Disease Control and Prevention |
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MMWR News Summary: July 28, 2011 |
MMWR News Summary: July 28, 2011 |
| American Academy | 0.710597 |
| prompt recognition | 0.71143 |
| LF programs | 0.776089 |
| seasonal influenza-related hospitalization | 0.799651 |
| heat illness | 0.912315 |
| New York City | 0.793657 |
| appropriate steps | 0.709527 |
| heat-related emergency department | 0.8396 |
| Al Lundeen | 0.712811 |
| permanent disability worldwide | 0.78358 |
| loose-fitting clothing | 0.713479 |
| influenza vaccine | 0.742493 |
| greater risk | 0.715052 |
| recreational activities | 0.713637 |
| sub-Saharan country | 0.718752 |
| influenza vaccination status | 0.852288 |
| CDC Division | 0.950977 |
| Drug company donations | 0.780278 |
| recreational activity | 0.723904 |
| Preschool children | 0.725352 |
| News Media Team | 0.81055 |
| community health workers | 0.792608 |
| limited resources | 0.778138 |
| Human immunodeficiency virus | 0.793233 |
| LF elimination program | 0.85735 |
|
| frequent rest breaks | 0.798924 |
| Public Health | 0.71159 |
| United States | 0.82598 |
| Electronic Media | 0.933457 |
| uninterrupted health insurance | 0.81383 |
| Oregon PRAMS-2 | 0.709987 |
| local health department | 0.80488 |
| Immunization Practices | 0.710534 |
| Advisory Committee | 0.710761 |
| sub-Saharan countries | 0.792419 |
| prevention tips | 0.714237 |
| emergency room care | 0.827213 |
| Oregon Pregnancy Risk | 0.80567 |
| supplemental diagnostic tests | 0.785617 |
| recent influenza vaccination | 0.851036 |
| common activities | 0.722278 |
| CDC laboratory | 0.721184 |
| influenza vaccination | 0.894393 |
| health-care usage correlates | 0.806834 |
| unstructured sports | 0.715363 |
| HIV-2 cases | 0.809471 |
| hot weather | 0.714037 |
| West Africa | 0.805598 |
| Survey follow-back survey | 0.802533 |
|
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Centers for Disease Control and Prevention |
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Vital Signs: Binge Drinking Among Women and High SchoolGirls - United States, 2011 |
Persons using assistive technology might not be able to fully access information in this file. For assistance, please send e-mail to: mmwrq@cdc.gov. |
| gastric alcohol dehydrogenase | 0.44587 |
| presumed alcohol consumption | 0.452482 |
| Binge drinking intensity | 0.551844 |
| legal drinking | 0.454691 |
| Risk Factor Surveillance | 0.446433 |
| binge drinking | 0.913843 |
| blood alcohol levels | 0.466414 |
| health risk behaviors | 0.443944 |
| alcohol advertising | 0.443177 |
| Risk Behavior Survey | 0.449805 |
| alcohol spectrum disorder | 0.470337 |
| Youth Risk Behavior | 0.449237 |
| Alcohol Alcohol | 0.467152 |
| Preventive Services Task | 0.460641 |
| Excessive alcohol use* | 0.454285 |
| alcohol | 0.563947 |
| response rate | 0.452982 |
| higher blood alcohol | 0.448086 |
| current alcohol | 0.531984 |
| U.S. high school | 0.459485 |
| heavy drinking | 0.452024 |
| fetal alcohol spectrum | 0.47 |
| U.S. adult women | 0.474944 |
| Behavioral Risk Factor | 0.446247 |
| women | 0.539381 |
|
| drinking behavior | 0.468545 |
| high blood alcohol | 0.475526 |
| U.S. Preventive Services | 0.462878 |
| United States | 0.449305 |
| drinks | 0.462185 |
| alcohol consumption | 0.520204 |
| alcohol misuse | 0.447609 |
| adult drinking behavior | 0.468211 |
| national Youth Risk | 0.449238 |
| excessive alcohol | 0.470388 |
| U.S. state alcohol | 0.449714 |
| highest binge drinking | 0.53262 |
| B. Binge drinking | 0.531918 |
| excessive drinking | 0.456102 |
| alcohol outlet density | 0.446978 |
| Services Task Force | 0.485453 |
| high school students | 0.452088 |
| alcohol sales | 0.460213 |
| binge drinking prevalence | 0.587191 |
| Naimi TS | 0.460198 |
| blood alcohol concentrations | 0.452955 |
| high school girls | 0.682742 |
| binge drinking frequency | 0.547195 |
| excessive alcohol consumption | 0.44971 |
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Centers for Disease Control and Prevention |
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H5N1 Testing Recommendations |
Interim Guidance for Infection Control Within Healthcare Settings When Caring for Patients with Confirmed, Probable, or Cases Under Investigation of Avian Influenza A(H7N9) Virus Infection - CDC |
| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
|
| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
|
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| 10199 |
Centers for Disease Control and Prevention |
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Information for Organized Sporting Events | Lightning |
CDC provides lightning information including action plans and precautions for organized sporting events. |
| average | 0.25313 |
| list Skip | 0.72381 |
| United States | 0.42455 |
| page options Skip | 0.942919 |
| mold | 0.252047 |
| thunder | 0.255266 |
| insects | 0.249259 |
| navigation Skip | 0.731772 |
| disaster | 0.244593 |
| lightning strike injuries | 0.791929 |
| times | 0.241753 |
|
| Illnesses | 0.252101 |
| cleanup | 0.258289 |
| earth | 0.241937 |
| carbon monoxide poisoning | 0.650553 |
| environmental concerns | 0.425608 |
| warning | 0.257512 |
| consequences | 0.256428 |
| risk | 0.239677 |
| animals | 0.237091 |
| family | 0.242511 |
|
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Centers for Disease Control and Prevention |
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Increases in Hepatitis C Virus Infection Related toInjection Drug Use Among Persons Aged 30 Years or Younger - Kentucky,Tennessee, Virginia, and West Virginia, 2006-2012 |
Jon E. Zibbell, PhD1, Kashif Iqbal, MPH1, Rajiv C. Patel, MPH1, Anil Suryaprasad, MD1, Kathy J. |
| acute case reports | 0.427491 |
| opioid dependency | 0.402952 |
| Public Health | 0.433385 |
| prescription opioid abuse | 0.464941 |
| acute HCV infection* | 0.450267 |
| treatment admissions data | 0.411607 |
| HCV infection | 0.943196 |
| United States | 0.42077 |
| opioid injection | 0.38146 |
| acute cases | 0.374488 |
| nonurban areas | 0.405961 |
| West Virginia | 0.620008 |
| prescription opioid admissions | 0.52381 |
| abuse treatment admissions | 0.39618 |
| Infectious Disease Branch | 0.386152 |
| heroin admissions | 0.397896 |
| Treatment Episode Data | 0.380118 |
| current infection | 0.377832 |
| prescription opioids | 0.392884 |
| treatment admissions | 0.599329 |
| Kentucky Department | 0.399247 |
| IDU | 0.39371 |
| central Appalachia | 0.433451 |
| abuse treatment settings | 0.379103 |
|
| opioid abuse accounting | 0.404171 |
| integrated health services | 0.381514 |
| primary risk factor | 0.410476 |
| nonopioid injection | 0.382691 |
| Infectious Disease Epidemiology | 0.431845 |
| common blood-borne infection | 0.408389 |
| Prevention Services | 0.390321 |
| increase | 0.392273 |
| risk factor | 0.416111 |
| multiple treatment admissions | 0.387485 |
| West Virginia Department | 0.497063 |
| prescription opioid admission | 0.413455 |
| persons | 0.495992 |
| acute HCV cases | 0.449578 |
| young persons | 0.402212 |
| prescription opioid misuse | 0.403404 |
| acute infection | 0.390148 |
| individual treatment admissions | 0.388667 |
| substance abuse admissions | 0.413906 |
| acute HCV infection | 0.86759 |
| substance abuse treatment | 0.447294 |
| abuse treatment facilities | 0.379515 |
| acute HCV infections | 0.437688 |
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Centers for Disease Control and Prevention |
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Legal Regulation of Sodium Consumption to Reduce Chronic Conditions |
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. |
| public health impacts | 0.2387 |
| excessive sodium | 0.557942 |
| public health complications | 0.263049 |
| stronger regulatory limits | 0.243598 |
| foods | 0.255874 |
| public health interventions | 0.250789 |
| broader public health | 0.262732 |
| National Restaurant Association | 0.250685 |
| sodium warning labels | 0.464054 |
| Global sodium consumption | 0.449569 |
| daily sodium consumption | 0.511722 |
| substantial public health | 0.32414 |
| high sodium content | 0.46311 |
| public health revenues | 0.23938 |
| public health repercussions | 0.251717 |
| public health crisis | 0.261658 |
| sodium content | 0.687241 |
| excess sodium intake | 0.439508 |
| low sodium | 0.435921 |
| public health officials | 0.246736 |
| American Heart Association | 0.25165 |
| Hunger-Free Kids Act | 0.242141 |
| sodium | 0.948593 |
| high sodium products | 0.555623 |
| E. Sodium intake | 0.437348 |
|
| lower sodium consumption | 0.479452 |
| legal interventions | 0.285012 |
| Greater public health | 0.244182 |
| public health impact | 0.265457 |
| negative public health | 0.308578 |
| sodium consumption | 0.789794 |
| sodium intake | 0.713791 |
| United States | 0.296701 |
| dietary sodium | 0.521605 |
| Average sodium consumption | 0.491342 |
| reduced sodium | 0.417825 |
| sodium compounds | 0.5713 |
| sodium ingestion | 0.432079 |
| public health | 0.841653 |
| sodium levels | 0.462365 |
| public health law | 0.362751 |
| excessive sodium intake | 0.535634 |
| public health tool | 0.324111 |
| light sodium | 0.417327 |
| utility regarding sodium | 0.444494 |
| excessive sodium content | 0.552854 |
| sodium’s dangers | 0.418233 |
| chronic disease outcomes | 0.256565 |
| actual sodium consumption | 0.500312 |
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Centers for Disease Control and Prevention |
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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). |
| public health requests | 0.435083 |
| public locations | 0.368627 |
| County Health Department | 0.778102 |
| hospital security videos | 0.341097 |
| uncertain vaccination history | 0.355475 |
| C. Age range | 0.3449 |
| tertiary care hospital | 0.349955 |
| Shelby County | 0.706607 |
| health care facility | 0.429971 |
| measles virus | 0.625623 |
| epidemiologic link | 0.367126 |
| Shelby County Health | 0.663904 |
| measles diagnosis | 0.442077 |
| Regional Health Department | 0.40558 |
| 3Shelby County Health | 0.398678 |
| recent international travel | 0.348586 |
| rapid public health | 0.418765 |
| daily active monitoring | 0.335703 |
| public health officials | 0.897097 |
| initial measles | 0.458993 |
| 2-dose MMR vaccination | 0.518385 |
| high 2-dose MMR | 0.498048 |
| public health response | 0.534143 |
| health care settings | 0.420866 |
| effective public health | 0.444027 |
|
| recent measles cases | 0.514241 |
| United States | 0.353119 |
| intramuscular immune globulin | 0.335835 |
| unidentified epidemiologic link | 0.354909 |
| Measles Response Team | 0.496524 |
| previous measles outbreaks | 0.529622 |
| MMR vaccination coverage | 0.518358 |
| health care workers | 0.723698 |
| measles vaccine | 0.475577 |
| public health | 0.994802 |
| health care | 0.804048 |
| polymerase chain reaction | 0.353665 |
| health care systems | 0.433432 |
| international travel | 0.349235 |
| potentially exposed persons | 0.35669 |
| measles patients | 0.483723 |
| local public health | 0.475015 |
| positive measles IgM | 0.58878 |
| Public Health Preparedness | 0.415502 |
| close contacts | 0.424664 |
| measles IgM testing | 0.521769 |
| rash onset | 0.374666 |
| measles | 0.711161 |
| public health vaccination | 0.459833 |
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