| 4925 |
Centers for Disease Control and Prevention |
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El cáncer y los hombres |
Cada año, el cáncer cobra la vida de aproximadamente 300,000 hombres en los Estados Unidos. Los hombres pueden reducir su riesgo de contraer varios de los tipos de cáncer más comunes. |
| Archivo Apple Quicktime | 0.442685 |
| Archivo RealPlayer | 0.394289 |
| Archivo Microsoft PowerPoint | 0.456845 |
| Archivo Adobe PDF | 0.442154 |
| adolescentes varones | 0.383966 |
| Estados Unidos | 0.910087 |
| Archivo Microsoft | 0.679658 |
| Archivo Microsoft Word | 0.455116 |
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| actor jimmy smits | 0.431954 |
| Archivo Texto | 0.388521 |
| cigarrillos causa | 0.388084 |
| Archivo Zip Comprimido | 0.441372 |
| niños varones | 0.381732 |
| detección salva vidas | 0.486704 |
| Archivo Microsoft Excel | 0.443654 |
| luz ultravioleta | 0.383166 |
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Centers for Disease Control and Prevention |
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Healthy Eating for a Healthy Weight: Cutting Calories |
Once you start looking, you can find ways to cut calories for your meals, snacks, and even beverages. Here are some examples to get you started. |
| ounce bag | 0.368133 |
| cooking spray | 0.469228 |
| cup broccoli | 0.371039 |
| Portion Size Pitfalls | 0.419202 |
| larger portions | 0.36246 |
| calorie margarine | 0.389529 |
| fewer calories | 0.589474 |
| snack ideas | 0.364045 |
| weight-loss success story | 0.407966 |
| non-stick pan | 0.364403 |
| healthy eating plan | 0.434807 |
| healthful snacks | 0.363358 |
| Snacks Substitution Calories | 0.557719 |
| fat-free milk | 0.420765 |
| sliced cucumbers | 0.366016 |
| reduced-calorie margarine | 0.371825 |
| high-calorie foods | 0.367597 |
| raw pineapple | 0.362248 |
| milk ricotta cheese | 0.452177 |
| Dinner Substitution Calories | 0.564173 |
| excessive calorie intake | 0.440799 |
| Substitution Calories Reduced | 0.795933 |
| low-fat vinaigrette | 0.365679 |
| cup | 0.386971 |
| higher calorie foods | 0.449878 |
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| regular ranch salad | 0.429089 |
| calorie intake | 0.50238 |
| extra slice | 0.369419 |
| vegetables | 0.449233 |
| Balancing Calories | 0.495322 |
| apple pie | 0.406188 |
| non-stick cooking spray | 0.412525 |
| peanut butter crackers | 0.418995 |
| better drink choices | 0.426761 |
| vegetable-based broth soups | 0.419181 |
| meal-by-meal examples | 0.364156 |
| Breakfast Substitution Calories | 0.580396 |
| eating occasion | 0.37615 |
| broth-based soup | 0.362674 |
| calories | 0.900066 |
| green lettuce salad | 0.43231 |
| French fries | 0.476158 |
| chocolate sandwich cookies | 0.405762 |
| weight management plan | 0.419009 |
| cheese pizza | 0.411072 |
| part-skim ricotta cheese | 0.522003 |
| meat-based soups | 0.364604 |
| cup cream | 0.367717 |
| Lunch Substitution Calories | 0.575582 |
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Centers for Disease Control and Prevention |
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Global Health - South Africa - Our Progress |
CDC partners in South Africa with government and parastatal agencies, private institutions, universities and non-governmental organizations to improve the country’s public health foundation, to prevent transmission of HIV, to provide care and treatment for those who are already infected with HIV, and to strengthen laboratory capacity.
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| national health information | 0.662382 |
| HIV Partnership Framework | 0.847946 |
| extensive technical assistance | 0.650092 |
| PMTCT sites | 0.651314 |
| HIV prevention | 0.730564 |
| TB infections | 0.706494 |
| Global Fund Activities | 0.627709 |
| TB response | 0.703029 |
| International Relations | 0.538438 |
| comprehensive approach | 0.528783 |
| new HIV | 0.733229 |
| evaluation systems | 0.531508 |
| Mother-to-Child HIV Transmission | 0.830121 |
| Electronic TB Register | 0.779227 |
| State Hillary Clinton | 0.642589 |
| CDC staff members | 0.731503 |
| TB screening | 0.817106 |
| laboratory systems | 0.5336 |
| life expectancy | 0.533076 |
| HIV testing methodologies | 0.826065 |
| National Strategic Plan | 0.651009 |
| integrated HIV | 0.838997 |
| International Health Regulations | 0.641278 |
| strategic information | 0.533466 |
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| antiretroviral therapy | 0.557264 |
| new NSP | 0.547847 |
| National Jewish Hospital | 0.632506 |
| provider-initiated testing | 0.532144 |
| national response | 0.558855 |
| building human resources | 0.632123 |
| National Institute | 0.542429 |
| primary health facilities | 0.685162 |
| laboratory data collection | 0.622847 |
| infant diagnostic testing | 0.635326 |
| primary health care | 0.626921 |
| Maite Nkoana Mashabane | 0.65933 |
| international TB training | 0.778961 |
| Risk Communication Workshop | 0.61892 |
| South African government | 0.669718 |
| HIV counseling | 0.864073 |
| HIV | 0.909911 |
| non-federal site | 0.530929 |
| South Africa National | 0.694926 |
| southern Africa | 0.534987 |
| HIV support | 0.740301 |
| scaling-up Medical Male | 0.638351 |
| CDC South Africa | 0.983073 |
| HIV-infected patients | 0.69175 |
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Centers for Disease Control and Prevention |
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Global Health - Laos |
CDC began working in Lao PDR in 2006. In 2010, the National Center for Laboratory and Epidemiology (NCLE) was designated as a National Influenza Center (NIC) by the World Health Organization (WHO). Over the past 10 years, Lao PDR has continued to develop and improve their capacity building beyond influenza in support of the International Health Regulations. There has been a significant strengthening of engagement to include technical assistance in HIV/AIDS prevention and control and expanded maternal and child health immunization coverage |
| CDC | 0.403995 |
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| ministries | 0.318321 |
| rabies prevention | 0.420679 |
| NCLE | 0.321492 |
| Epidemiology | 0.326264 |
| Content source | 0.419263 |
| HHS | 0.334209 |
| Notice | 0.32101 |
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| technical assistance | 0.422593 |
| child health immunization | 0.537943 |
| vaccination campaign | 0.416902 |
| model | 0.31837 |
| Download Overview Fact | 0.521762 |
| surveillance | 0.318423 |
| influenza laboratory detection | 0.589158 |
| one-year FET program | 0.565735 |
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| introduction | 0.318645 |
| National Center | 0.438575 |
| coverage | 0.319331 |
| HIV/AIDS prevention | 0.423609 |
| World Health Organization | 0.552116 |
| dog registration | 0.411207 |
| typical two-year FET | 0.563226 |
| National Influenza Center | 0.799885 |
| staff | 0.318273 |
| countries | 0.318341 |
| control activities | 0.410911 |
| Lao PDR | 0.939163 |
| non-federal site | 0.43238 |
| outbreak response capabilities | 0.527197 |
| International Health Regulations | 0.533728 |
| significant strengthening | 0.429538 |
| support | 0.319825 |
| Sheet | 0.319101 |
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Centers for Disease Control and Prevention |
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World Polio Day, October 24 | CDC Features |
In honor of World Polio Day, CDC will celebrate and highlight polio eradication work around the globe using Twitter and Facebook. Tweets will feature the efforts and photos of CDC staff deployed in the field who are working to end polio. CDC will also create a photo gallery on the Center for Global Health Facebook page to feature images of polio eradication work done by CDC and partners worldwide. |
| substantial support | 0.352218 |
| polio activities | 0.574694 |
| longstanding partnership | 0.35194 |
| partnership engagement | 0.347382 |
| U.S. Agency | 0.352167 |
| scientific expertise | 0.351755 |
| CDC’s Emergency | 0.436595 |
| polio eradication activities | 0.766009 |
| CDC Director Thomas | 0.477975 |
| Melinda Gates Foundation | 0.396182 |
| 65th World Health | 0.39962 |
| polio worldwide | 0.587764 |
| global reference laboratories | 0.397544 |
| Global Polio Eradication | 0.774039 |
| Rotary International | 0.402208 |
| Polio Eradication Initiative | 0.774685 |
| World Health Organization | 0.405211 |
| polio eradication work | 0.834894 |
| Additional information | 0.347967 |
| irreversible paralysis | 0.35266 |
| global public health | 0.396833 |
| continued polio outbreaks | 0.603673 |
| global intensification | 0.356603 |
| Stop Transmission | 0.346897 |
| partner organizations | 0.351075 |
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| Operations Center | 0.348442 |
| polio eradication | 0.967686 |
| polio endemic countries | 0.631783 |
| polio vaccine | 0.59064 |
| genetic sequencing | 0.350774 |
| unvaccinated children | 0.349085 |
| World Polio | 0.665559 |
| wild poliovirus | 0.349 |
| International Development | 0.353139 |
| important priority | 0.347795 |
| Tweets | 0.313377 |
| Global Health Facebook | 0.416403 |
| GPEI objectives | 0.34988 |
| tremendous progress | 0.349378 |
| programmatic emergency | 0.351234 |
| operational research | 0.349996 |
| surveillance systems | 0.349003 |
| CDC staff | 0.464302 |
| Dr. Jonas Salk | 0.40335 |
| polio vaccination programs | 0.612366 |
| polio vaccination activities | 0.606174 |
| photo gallery | 0.354953 |
| R. Frieden | 0.353119 |
| USAID | 0.326671 |
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Centers for Disease Control and Prevention |
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University Report and Verification of Findings'Dirty Bombs' Communicating in the First Hours |
The CERC training program educates people on the principles and application of crisis and emergency risk communication when responding to a public health emergency. |
| 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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Antibiotic resistance in foodborne germs is an ongoing threat | Press Release | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| baseline period | 0.459758 |
| data | 0.358354 |
| troubling trends | 0.348962 |
| Campylobacter data | 0.341649 |
| antibiotic-resistant infections | 0.451223 |
| CDC’s ability | 0.403116 |
| typhoid fever | 0.450294 |
| Shigella resistance | 0.548874 |
| resistant Salmonella enteritidis | 0.719479 |
| fluoroquinolone resistance | 0.534224 |
| drug-resistant Salmonella | 0.521832 |
| drug nalidixic acid | 0.433622 |
| Disease Control | 0.351344 |
| CDC website | 0.406655 |
| fluoroquinolone drug | 0.43384 |
| common Salmonella type | 0.622363 |
| greater resistance | 0.550043 |
| CDC NARMS monitors | 0.658535 |
| public health partners | 0.439109 |
| NARMS report | 0.489805 |
| resistance | 0.910991 |
| Salmonella serotype | 0.546438 |
| CDC’s Division | 0.422664 |
| Ceftriaxone resistance | 0.557378 |
| National Antimicrobial Resistance | 0.669749 |
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| CDC NARMS | 0.687699 |
| widely used fluoroquinolone | 0.427103 |
| Shigella strains | 0.341681 |
| resistant germs | 0.520445 |
| recent data | 0.35037 |
| United States | 0.490166 |
| resistance levels | 0.553396 |
| Salmonella typhi | 0.562185 |
| public health threat | 0.47233 |
| resistant Salmonella infections | 0.765668 |
| foodborne germs | 0.783358 |
| percent | 0.409655 |
| nalidixic acid | 0.543037 |
| multi-drug resistant Salmonella | 0.794842 |
| annual funding level | 0.420814 |
| antibiotic resistance | 0.897066 |
| latest data | 0.342571 |
| public health | 0.474003 |
| percent reduction | 0.369597 |
| common foodborne germs | 0.555006 |
| severe Salmonella infections | 0.725847 |
| Salmonella Heidelberg infections | 0.732909 |
| urgent antibiotic resistance | 0.688551 |
| Campylobacter resistance | 0.549439 |
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Centers for Disease Control and Prevention |
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CDC Nowcasting the Spread of Chikungunya in Americas | Press Release | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| countries increases | 0.284309 |
| control recommendations | 0.278656 |
| infected travelers | 0.371019 |
| mosquito bites | 0.299789 |
| chikungunya-infected travelers | 0.293904 |
| chikungunya introduction | 0.512413 |
| CDC experts | 0.295462 |
| response activities | 0.28327 |
| sporadic local transmission | 0.369841 |
| North America | 0.278379 |
| likely introduction | 0.300535 |
| dengue cases | 0.280915 |
| proactively implement prevention | 0.349375 |
| percent chance | 0.284214 |
| chikungunya virus transmission | 0.660763 |
| probability | 0.309116 |
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| dengue virus | 0.306736 |
| ultimate goal | 0.281676 |
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| locally transmitted cases | 0.339767 |
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| chikungunya infection | 0.514505 |
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| CDC model | 0.321211 |
|
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| nowcast website | 0.281101 |
| United States | 0.875324 |
| chikungunya activity | 0.554509 |
| best times | 0.281795 |
| continental United States | 0.348639 |
| CDC biologist | 0.303391 |
| local transmission | 0.704339 |
| great degree | 0.285408 |
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| CDC nowcast model | 0.367188 |
| various cities | 0.280608 |
| health departments | 0.277265 |
| southern United States | 0.37034 |
| CDC-developed mathematical model | 0.376277 |
| mosquito-borne illnesses | 0.276968 |
| local chikungunya transmission | 0.777925 |
| Caribbean outbreak | 0.294613 |
| chikungunya risk | 0.510771 |
| Early recognition | 0.283465 |
| chikungunya | 0.907677 |
| South American locations | 0.353416 |
| chikungunya cases | 0.585446 |
| public health outreach | 0.350135 |
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Centers for Disease Control and Prevention |
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Optimal Serum and Red Blood Cell Folate Concentrations inWomen of Reproductive Age for Prevention of Neural Tube Defects:World Health Organization Guidelines |
Amy M. Cordero, MPA1, Krista S. Crider, PhD1, Lisa M. |
| insufficient RBC | 0.206373 |
| RBC folate concentrations | 0.79846 |
| lower blood folate | 0.34714 |
| United States | 0.211452 |
| blood folate insufficiency | 0.424101 |
| Amy M. Cordero | 0.258794 |
| ТЕg folic acid | 0.257357 |
| folate deficiency | 0.328061 |
| homocysteine concentrations | 0.229612 |
| staple foods | 0.224639 |
| blood folate status | 0.386433 |
| NTD prevention interventions | 0.294424 |
| NTD risk increases | 0.286294 |
| NTD prevention | 0.434828 |
| RBC folate status | 0.47575 |
| NTD risks | 0.249158 |
| NTD risk | 0.447609 |
| folic acid source | 0.221028 |
| blood folate concentrations | 0.731468 |
|
| NTD prevalence | 0.433285 |
| folic acid | 0.584752 |
| folate-sensitive NTD prevalence | 0.324973 |
| folic acid daily | 0.245198 |
| insufficient concentrations | 0.265286 |
| World Health Organization | 0.249932 |
| reproductive age | 0.262682 |
| folate concentration guidelines | 0.374453 |
| folate concentrations | 0.909236 |
| lower NTD risk | 0.29509 |
| lowest NTD risk | 0.300828 |
| birth defects | 0.316494 |
| periconceptional folic acid | 0.224308 |
| population-level RBC folate | 0.405499 |
| reassess population RBC | 0.238549 |
| insufficient folate concentrations | 0.440097 |
| optimal blood folate | 0.450199 |
| blood folate assessment | 0.36826 |
| NTD | 0.46867 |
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Resources for Recruiting & Retaining Participants | Diabetes |
National Diabetes Prevention Program |
| eligible patients | 0.571208 |
| fact sheets | 0.669765 |
| videos | 0.423954 |
| widgets | 0.430835 |
| low cost | 0.545528 |
| dialog | 0.43458 |
| adaptable promotional materials | 0.693921 |
| covered health benefit | 0.945067 |
| CDC-recognized lifestyle change | 0.71934 |
| insurers | 0.478594 |
| different strategies | 0.542139 |
| logo | 0.426161 |
| recommendation forms | 0.554506 |
| social media | 0.535208 |
| health care professionals | 0.941916 |
| participants | 0.466641 |
| contact information | 0.553337 |
| brochures | 0.449747 |
| easy-to-use tools | 0.540403 |
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| advantage | 0.425002 |
| infographics | 0.435788 |
| posters | 0.42433 |
| resources | 0.452031 |
| lifestyle change program | 0.68147 |
| agencies | 0.423668 |
| lifestyle change | 0.867998 |
| at-risk patients | 0.553193 |
| participant retention | 0.551631 |
| article | 0.423238 |
| lifestyle change programs—like | 0.677582 |
| new PreventT2 curriculum | 0.961968 |
| web content | 0.55468 |
| organizations | 0.423691 |
| local employers | 0.574529 |
| organization partners | 0.535037 |
| page | 0.428992 |
| word | 0.4593 |
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