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Centers for Disease Control and Prevention |
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Got Mice? Seal, Trap, and Clean Up to Control Rodents | CDC Features |
It is getting colder outside – rodents may enter your home for food or shelter! Seal up holes or gaps in your home, trap any existing rodents, and clean up any sources of food or water and items that might provide shelter for them. |
| leptospirosis | 0.443901 |
| small holes | 0.584675 |
| shelter | 0.511357 |
| CDC | 0.432855 |
| half | 0.431294 |
| sources | 0.468402 |
| United States | 0.574878 |
| precautions | 0.435319 |
| winter | 0.431427 |
| cause | 0.430185 |
| Clean | 0.43675 |
| up… | 0.432288 |
| mice | 0.608905 |
| rodents | 0.839851 |
| pregnant women | 0.576428 |
| signs | 0.430985 |
| rat-bite fever | 0.593175 |
| deer mice | 0.585601 |
| rodent | 0.475478 |
| lymphocytic choriomeningitis virus | 0.732754 |
| rats | 0.544225 |
| area | 0.430791 |
| germs | 0.440649 |
|
| nickel | 0.434834 |
| pesky critters | 0.603016 |
| multi-year study | 0.561848 |
| natural environment | 0.564479 |
| diseases | 0.502487 |
| Worldwide | 0.432593 |
| particular risk | 0.573064 |
| gaps | 0.496725 |
| water | 0.468297 |
| steps | 0.43052 |
| people | 0.430058 |
| food | 0.51162 |
| hantavirus pulmonary syndrome | 0.934978 |
| home | 0.602978 |
| deer mouse | 0.556339 |
| size | 0.459733 |
| scientists | 0.455271 |
| partners | 0.430047 |
| Seal | 0.436113 |
| information | 0.430107 |
| family | 0.43128 |
| items | 0.468232 |
| droppings | 0.443371 |
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Stay Healthy and Safe on Spring Break | CDC Features |
Going to another country for spring break? Follow these tips to reduce your risk of illness or injury abroad. |
| South America | 0.625501 |
| Central America | 0.625549 |
| travel documents | 0.669569 |
| family member | 0.628331 |
| emergency evacuation | 0.627252 |
| pregnant women | 0.773552 |
| trip | 0.670004 |
| spring break | 0.974944 |
| pregnant woman | 0.669424 |
| security risks | 0.628767 |
| Pacific Islands | 0.626558 |
| pregnant partner | 0.652629 |
| spring break destinations | 0.773744 |
| Motor vehicle crashes | 0.710319 |
| rugged rain forests | 0.748454 |
| travel plans | 0.670789 |
| balmy beach resorts | 0.761204 |
| properly trained outfitters | 0.702123 |
| condoms | 0.669873 |
| sex partners | 0.627455 |
| United States | 0.758398 |
| smart choices | 0.633531 |
| additional insurance | 0.628159 |
| local cuisine | 0.62441 |
| Zika virus infection | 0.751936 |
|
| cruise ship destinations | 0.758569 |
| local health department | 0.75611 |
| travel health kit | 0.798993 |
| uninfected mosquitoes | 0.625144 |
| healthy trip | 0.665473 |
| CDC Travelers | 0.705437 |
| Zika travel notices | 0.803585 |
| bug bite protection | 0.732831 |
| travel medicine specialist | 0.784457 |
| State website | 0.628909 |
| specific travel destination | 0.744741 |
| Health website | 0.658581 |
| health concerns | 0.642425 |
| extreme sports | 0.622611 |
| medical care | 0.628095 |
| medical coverage | 0.628594 |
| health insurance provider | 0.752965 |
| Traveler Enrollment Program | 0.727076 |
| Sexually Transmitted Diseases | 0.713452 |
| great first stop | 0.633564 |
| Adventure travel | 0.653439 |
| international trip | 0.660208 |
| hopeful spring breakers | 0.774389 |
| latex condoms | 0.664897 |
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CDC - Preventing Chronic Disease: Volume 9, 2012: 11_0155 |
Despite evidence of the benefits of regular physical activity, many older adults are not physically active. Health professionals are challenged to replicate evidence-based programs to address low levels of physical activity among members of their communities. |
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Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Tailoring Community-Based Wellness Initiatives With Latent Class Analysis - Massachusetts Community Transformation Grant Projects - CDC |
Community-based approaches to preventing chronic diseases are attractive because of their broad reach and low costs, and as such, are integral components of health care reform efforts. Implementing community-based initiatives across Massachusetts’ municipalities presents both programmatic and evaluation challenges. For effective delivery and evaluation of the interventions, establishing a community typology that groups similar municipalities provides a balanced and cost-effective approach. |
| Community Transformation Grant | 0.650404 |
| public health interventions | 0.67949 |
| classes | 0.647487 |
| public health practitioners | 0.618062 |
| small urban communities | 0.651919 |
| resident health behaviors | 0.615414 |
| latent class analysis | 0.830621 |
| diverse housing stock | 0.628002 |
| separate class solutions | 0.617995 |
| obesity-related health behaviors | 0.63089 |
| negative health outcomes | 0.615587 |
| health outcomes | 0.76453 |
| worse health outcomes | 0.635293 |
| Public Health Fund | 0.625183 |
| health care reform | 0.621506 |
| median household income | 0.691573 |
| minimum class probability | 0.679393 |
| community-based public health | 0.632986 |
| health behaviors | 0.933286 |
| class | 0.854523 |
| Massachusetts Medical School | 0.644842 |
| public health | 0.769845 |
| mental health problems | 0.612341 |
| class membership | 0.612264 |
|
| Massachusetts Community Transformation | 0.623374 |
| wellness community typology | 0.646236 |
| community health planning | 0.624473 |
| key informant interviews | 0.642565 |
| latent class model | 0.647427 |
| western Massachusetts communities | 0.619545 |
| chronic diseases | 0.706971 |
| model fit statistics | 0.669924 |
| large share | 0.64277 |
| average health outcomes | 0.619852 |
| health care costs | 0.611859 |
| municipalities | 0.700387 |
| physical activity | 0.650495 |
| community health centers | 0.640669 |
| 10-class solution | 0.636078 |
| latent classes | 0.636976 |
| lower-income rural communities | 0.615915 |
| community-based wellness initiatives | 0.708767 |
| excellent classification certainty | 0.636061 |
| retail environment | 0.729477 |
| communities | 0.718786 |
| Metropolitan Area Planning | 0.629984 |
| Area Planning Council | 0.62998 |
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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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ATSDR report finds drywall imported from China in the 2000s may have affected human health | Media Advisory | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| report estimates | 0.343375 |
| Urban Development | 0.341938 |
| findings | 0.228567 |
| Health Consultation | 0.369138 |
| Commission | 0.225168 |
| North America | 0.351333 |
| state agencies | 0.346769 |
| drywall samples | 0.661254 |
| China | 0.301949 |
| HUD | 0.234244 |
| problem drywall | 0.933922 |
| sulfur compounds | 0.401205 |
| Chinese-Manufactured Drywall | 0.710198 |
| CPSC | 0.2946 |
| Consumer Product Safety | 0.472203 |
| conclusions | 0.235682 |
|
| comparison purposes | 0.350176 |
| Exposure | 0.231365 |
| laboratory tests | 0.372701 |
| analysis | 0.226909 |
| indoor air | 0.371546 |
| u.s. department | 0.436647 |
| Possible Health Implications | 0.516518 |
| ATSDR | 0.306597 |
| Sulfur Gases Emitted | 0.566907 |
| new homes | 0.335905 |
| HUMAN SERVICES | 0.342692 |
| http://www.atsdr.cdc.gov/drywall | 0.224608 |
| modeling researchers | 0.372435 |
| small number | 0.358486 |
| support | 0.224976 |
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Young Worker Safety and Health: Selected Charts on Young Worker Employment, Injuries and Illnesses: Rates of Work-related Injuries Reported by Farm Operators, 15-17 Year-Olds, United States |
Young Worker Safety and Health: Selected Charts on Young Worker Employment, Injuries and Illnesses: Rates of Work-related Injuries Reported by Farm Operators, 15-17 Year-Olds, United States |
| Download data | 0.276269 |
| United States | 0.678189 |
| rates | 0.25521 |
| farm operators | 0.72207 |
| Work-related Injuries Reported | 0.749833 |
| Young Worker Employment | 0.856737 |
|
| Illnesses | 0.203941 |
| Childhood Agricultural Injury | 0.427866 |
| Young Worker Safety | 0.535375 |
| work-related injuries | 0.927131 |
| Year-Olds | 0.250935 |
| Download image file | 0.426536 |
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Centers for Disease Control and Prevention |
Html |
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Consensus on the Development of Vaccines against NaturallyAcquired Melioidosis - Volume 21, Number 6-June 2015 - EmergingInfectious Disease journal - CDC |
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| animal models | 0.551215 |
| potential vaccine candidates | 0.497449 |
| biodefense vaccine development | 0.488648 |
| Burkholderia pseudomallei infection | 0.539 |
| potential melioidosis vaccine | 0.510797 |
| head-to-head candidate vaccine | 0.513403 |
| vaccine candidate evaluation | 0.497938 |
| National Vaccine Institute | 0.508877 |
| environmental B. pseudomallei | 0.55731 |
| diabetic mouse models | 0.542373 |
| head-to-head vaccine assessment | 0.47587 |
| diabetic mice | 0.472917 |
| vaccine candidate | 0.513961 |
| B. pseudomallei infection | 0.601831 |
| TB vaccine | 0.471524 |
| vaccine candidates | 0.660316 |
| melioidosis candidate vaccines | 0.47947 |
| NHP model | 0.484725 |
| pseudomallei subcutaneous inoculation | 0.551922 |
| head-to-head vaccine candidate | 0.510016 |
| B. pseudomallei | 0.92315 |
| Melioidosis Vaccine Development | 0.536594 |
| candidate vaccines | 0.675778 |
| Public Health England | 0.572863 |
| diabetic mouse model | 0.523782 |
|
| mouse models | 0.671899 |
| pseudomallei challenge strains | 0.518829 |
| B. pseudomallei inoculation | 0.597021 |
| candidate vaccine | 0.543364 |
| Burkholderia pseudomallei strain | 0.516477 |
| Burkholderia pseudomallei elicits | 0.514889 |
| inhalational B. pseudomallei | 0.525592 |
| melioidosis vaccine evaluation | 0.494277 |
| melioidosis vaccine | 0.644712 |
| head-to-head comparison | 0.529883 |
| Burkholderia pseudomallei | 0.753283 |
| different vaccine candidates | 0.49257 |
| candidate vaccine developers | 0.517543 |
| public health | 0.617738 |
| vaccine development | 0.592362 |
| NHP models | 0.487677 |
| B. pseudomallei challenge | 0.654643 |
| United Kingdom | 0.634776 |
| virulent Burkholderia pseudomallei | 0.515805 |
| subcutaneous B. pseudomallei | 0.560195 |
| melioidosis vaccines | 0.506635 |
| vaccine | 0.717172 |
| infection vaccine development | 0.501879 |
| optimal candidate vaccines | 0.484763 |
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Centers for Disease Control and Prevention |
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Depressive Symptoms and Behavior-Related Risk Factors, Italian Population-Based Surveillance System, 2013 |
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. |
| excessive alcohol consumers | 0.303537 |
| mental health | 0.222912 |
| single occasion | 0.202055 |
| general population | 0.238658 |
| depressive symptoms | 0.962075 |
| moderate physical activity | 0.221615 |
| vigorous physical activity | 0.222601 |
| heavy yard work | 0.21273 |
| public health | 0.309913 |
| PASSI | 0.207145 |
| chronic medical conditions | 0.206846 |
| current depressive symptoms | 0.252683 |
| body mass index | 0.217021 |
| Daily physical activity | 0.215771 |
|
| cigarette smokers | 0.213477 |
| people | 0.210422 |
| physical activity | 0.562641 |
| Italian behavioral risk | 0.294773 |
| leisure-time physical activity | 0.434194 |
| major depressive disorder | 0.222454 |
| chronic disease | 0.20726 |
| behavioral risk factor | 0.345829 |
| sociodemographic characteristics | 0.25689 |
| risk factor surveillance | 0.348295 |
| depression | 0.218092 |
| behavior-related risk factors | 0.76268 |
| physical activity bouts | 0.215742 |
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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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