| 1229 |
Centers for Disease Control and Prevention |
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Decline in Drug Overdose Deaths After State Policy Changes -Florida, 2010-2012 |
On July 1, 2014, this report was posted as an MMWR Early Release on the MMWR website (http://www.cdc.gov/mmwr). |
| Alcohol overdose death | 0.560768 |
| drug overdose fatalities | 0.587096 |
| Medical Examiners Commission | 0.517603 |
| Health National Prescription | 0.496651 |
| Florida Surgeon General | 0.487144 |
| drug overdose | 0.885789 |
| overdose mortality data | 0.55399 |
| prescription drug-related deaths | 0.58549 |
| overdose rate | 0.54343 |
| alprazolam overdose deaths | 0.651998 |
| prescription drugs | 0.607216 |
| prescription opioid deaths | 0.589306 |
| overdose deaths | 0.997996 |
| Prescription Drug Abuse | 0.512977 |
| oxycodone overdose death | 0.601187 |
| pain clinics | 0.540415 |
| opioid pain relievers | 0.50646 |
| wholesale drug distributors | 0.480518 |
| Florida law enforcement | 0.493904 |
| pain reliever oxycodone | 0.531992 |
| Florida | 0.634339 |
| drug overdose mortality | 0.563233 |
| prescription drug monitoring | 0.513304 |
| overdose rates | 0.539732 |
| opioid analgesic overdose | 0.62848 |
|
| enforcement actions | 0.503177 |
| heroin overdose deaths | 0.732336 |
| Benzodiazepine overdose death | 0.56587 |
| carisoprodol-related deaths | 0.528102 |
| overdose death rates | 0.749426 |
| policy changes | 0.525402 |
| prescription counts | 0.487903 |
| prescription drug overdose | 0.739137 |
| Florida Department | 0.496994 |
| heroin deaths | 0.54367 |
| overdose death rate | 0.621197 |
| drug overdose deaths | 0.843344 |
| illicit drug overdose | 0.57548 |
| illicit drugs | 0.523213 |
| drug overdose death | 0.688353 |
| law enforcement agencies | 0.520805 |
| Florida Medical Examiners | 0.533684 |
| Drug Enforcement Administration | 0.485702 |
| opioid analgesics | 0.48978 |
| analgesic overdose deaths | 0.70132 |
| Florida residents | 0.503289 |
| florida legislature | 0.485192 |
| Florida prescribing dispensers | 0.489749 |
| pain clinic | 0.498158 |
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| 8144 |
Centers for Disease Control and Prevention |
Html |
en |
Innovative policy to prevent mother-to-child transmission of HIV shows positive impact |
[Title] |
| new treatment option | 0.690835 |
| HIV transmission rates | 0.678127 |
| the12-month ART retention | 0.607201 |
| Mortality Weekly Report | 0.61758 |
| health threats | 0.562007 |
| Malawi’s National | 0.612109 |
| Ambassador Eric Goosby | 0.604423 |
| United States government | 0.599834 |
| limited equipment | 0.558316 |
| percent | 0.607548 |
| Option B+ implementation | 0.72217 |
| PEPFAR implementing agency | 0.602054 |
| Malawi Ministry | 0.614712 |
| global health spectrum | 0.606493 |
| sustainable public health | 0.606343 |
| AIDS Relief | 0.602291 |
| percent increase | 0.585201 |
| Malawi | 0.708604 |
| public health science | 0.6067 |
| aids-free generation | 0.608737 |
| antiretroviral medications | 0.570147 |
| lifelong ART | 0.664151 |
| life-saving antiretroviral treatment | 0.643346 |
| Emergency Plan | 0.60548 |
|
| New HIV Infections | 0.705932 |
| HIV test result | 0.652483 |
| Option B+ | 0.962715 |
| breastfeeding women | 0.619996 |
| strong national programs | 0.590738 |
| CDC Director Tom | 0.611797 |
| health | 0.616699 |
| laboratory tests | 0.558415 |
| HIV treatment | 0.617024 |
| mother-to-child HIV transmission | 0.74874 |
| lifelong antiretroviral treatment | 0.648507 |
| recent U.S. President | 0.606386 |
| PEPFAR Blueprint | 0.563505 |
| CDC’s Morbidity | 0.572452 |
| future pregnancies | 0.559907 |
| U.S. Government initiative | 0.593143 |
| Joint United Nations | 0.596329 |
| ART reduces | 0.570391 |
| New approach | 0.566096 |
| Malawi Halima Daud | 0.668839 |
| U.S. Global AIDS | 0.615461 |
| life-saving medications | 0.55944 |
| Global Plan | 0.621032 |
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| 10312 |
Centers for Disease Control and Prevention |
Html |
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HAN Archive - 00327 - Meningitis and Stroke Associated with Potentially Contaminated Product |
Health Alert Network (HAN). Provided by the Centers for Disease Control and Prevention (CDC). |
| North Carolina | 0.340148 |
| clinical picture | 0.338701 |
| epidural injection | 0.412472 |
| *Case Definition | 0.328502 |
| elevated white cell | 0.467495 |
| fungal infection | 0.364124 |
| following symptoms | 0.3621 |
| Disease Control | 0.350205 |
| diagnostic lumbar puncture | 0.444109 |
| cell count | 0.332627 |
| 2These people | 0.332756 |
| injection site | 0.366606 |
| England Compounding Center | 0.961086 |
| Propionobacterium acnes | 0.339475 |
| FDA recommend | 0.333654 |
| patients | 0.538821 |
| infected patients | 0.381816 |
| exact source | 0.343447 |
| deep brain stroke | 0.445627 |
| preservative-free methylprednisolone acetate | 0.514159 |
| methylprednisolone acetate | 0.907988 |
| low threshold | 0.327961 |
| New England Compounding | 0.957792 |
| neck stiffness | 0.328333 |
|
| PM ET | 0.353402 |
| intrathecal administration | 0.339786 |
| Aspergillus fumigatus | 0.35425 |
| fungal meningitis | 0.603196 |
| CDC Health Alert | 0.522652 |
| basilar stroke | 0.33312 |
| epidural steroid injection | 0.576527 |
| 1clinically diagnosed meningitis | 0.528185 |
| multi-state investigation | 0.349044 |
| interim data | 0.344281 |
| unclear clinical significance | 0.451513 |
| fungal culture | 0.364678 |
| Drug Administration | 0.345185 |
| CSF profile | 0.369999 |
| epidural steroid injections | 0.501748 |
| State health departments | 0.423268 |
| elevated protein/low glucose/pleocytosis | 0.452612 |
| Tennessee Department | 0.346711 |
| widely distributed medication | 0.451059 |
| nervous system specimen | 0.334342 |
| ambulatory surgery center | 0.469045 |
| new neurological deficit | 0.454966 |
| drug products | 0.331511 |
| Initial cultures | 0.333521 |
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| 10606 |
Centers for Disease Control and Prevention |
Html |
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Breast Cancer in Young Women |
Most breast cancers are found in women who are 50 and older, but breast cancer also affects younger women. |
| young women | 0.397948 |
| skin cancer | 0.419857 |
| treatment | 0.323964 |
| CDC | 0.328763 |
| United States | 0.428892 |
| breast cancer diagnosis | 0.636054 |
| body | 0.328548 |
| breast cancers | 0.572414 |
| common cancer | 0.419222 |
| awareness | 0.323185 |
| Division | 0.323349 |
| higher risk | 0.4215 |
|
| disease | 0.328659 |
| young survivors | 0.41977 |
| American women | 0.421892 |
| breast cancer | 0.903754 |
| younger women | 0.42917 |
| health | 0.323071 |
| control | 0.352895 |
| breast cancer survivors | 0.625994 |
| cells | 0.330674 |
| Cancer Prevention | 0.407159 |
| new cases | 0.429509 |
| age | 0.344393 |
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| 11114 |
Centers for Disease Control and Prevention |
Html |
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2012 National Report on Biochemical Indicators of Diet and Nutrition - Infographic |
CDC's Second Nutrition Report is a comprehensive biochemical assessment of the U.S. population's nutrition status Covering 58 biochemical indicators. The Second Nutrition Report is part of a series of publications that provide ongoing assessment of the U.S. population's nutrition status by measuring blood and urine concentrations of biochemical indicators from people who took part in CDC's National Health and Nutrition Examination Survey (NHANES) |
| spinach | 0.283866 |
| specific measures | 0.411001 |
| Human Services | 0.368346 |
| body | 0.265914 |
| non-Hispanic black women | 0.6673 |
| U.S. Department | 0.48671 |
| egg yolks | 0.366426 |
| pregnant women | 0.452877 |
| Disease Control | 0.370307 |
| nutrition status | 0.406903 |
| non-Hispanic white Americans | 0.697241 |
| healthy bones | 0.378725 |
| results | 0.267899 |
| Biochemical Indicators | 0.367375 |
| important vitamins | 0.40117 |
| Mexican Americans | 0.4062 |
| lower iodine levels | 0.654064 |
| Women ages | 0.403827 |
| preventable cause | 0.382379 |
| vitamin D deficiency | 0.884911 |
| Dietary Guidelines | 0.373779 |
| lower levels | 0.37222 |
| cereal grain products | 0.536496 |
| non-Hispanic white children | 0.648003 |
| intellectual disability | 0.383723 |
|
| folic acid fortification | 0.630312 |
| important roles | 0.362732 |
| dietary supplement | 0.390909 |
| age group | 0.379993 |
| low-fat dairy products | 0.524177 |
| good news | 0.408207 |
| white beans | 0.362361 |
| red meat | 0.35847 |
| normal development | 0.3787 |
| u.s. population | 0.550022 |
| folic acid | 0.93516 |
| Mexican American children | 0.503293 |
| non-Hispanic black Americans | 0.699377 |
| National Report | 0.374784 |
| seafood | 0.260358 |
| Nutrition Report | 0.412968 |
| birth defects | 0.543127 |
| fatty fishes | 0.373281 |
| Iodine deficiency | 0.570209 |
| non-Hispanic white women | 0.668574 |
| baby | 0.265753 |
| iron | 0.371236 |
| CDC report | 0.779139 |
| risk | 0.35445 |
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| 11640 |
Centers for Disease Control and Prevention |
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Prevalence of Chlamydia trachomatis Genital Infection AmongPersons Aged 14-39 Years - United States, 2007-2012 |
Elizabeth Torrone, PhD1, John Papp, PhD1, Hillard Weinstock, MD1 (Author affiliations at end of text). |
| young women | 0.614738 |
| oral contraceptives | 0.524209 |
| routine screening | 0.480892 |
| sexually transmitted infection | 0.552322 |
| untreated chlamydia | 0.519263 |
| overall chlamydia prevalence | 0.684388 |
| overall chlamydia burden | 0.577457 |
| chlamydial infection | 0.887379 |
| weighted prevalence estimates | 0.602767 |
| non-Hispanic white females | 0.520357 |
| sexually active females | 0.974104 |
| Preventive Services Task | 0.535732 |
| genital chlamydial infection | 0.687919 |
| risk factors | 0.4846 |
| infected patients | 0.477739 |
| chlamydia screening rates | 0.556938 |
| Genital chlamydial infections | 0.543473 |
| sexually active female | 0.539543 |
| genital C. trachomatis | 0.480877 |
| C. trachomatis | 0.519653 |
| sexually active participants | 0.593292 |
| sexually active women | 0.566822 |
| overall prevalence | 0.599895 |
| U.S. Preventive Services | 0.536229 |
|
| sex partners | 0.59478 |
| case report data | 0.517285 |
| United States | 0.558676 |
| Chlamydia trachomatis | 0.538651 |
| transmitted chlamydial infection | 0.534295 |
| non-Hispanic black females | 0.653505 |
| prevalence estimates | 0.61056 |
| prevalence | 0.854159 |
| sexually transmitted infections | 0.560718 |
| chlamydia prevalence | 0.80058 |
| multiple sex partners | 0.529821 |
| non-Hispanic blacks | 0.496863 |
| rectal chlamydial infections | 0.514349 |
| timely treatment | 0.496007 |
| non-Hispanic whites | 0.481862 |
| Prevalence ratios | 0.564587 |
| chlamydia screening | 0.664131 |
| hormonal contraceptives | 0.525713 |
| Elizabeth Torrone | 0.477431 |
| Services Task Force | 0.538988 |
| Sexually Transmitted Diseases | 0.520042 |
| active young women | 0.591918 |
| NHANES | 0.500853 |
| monitors population prevalence | 0.618075 |
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| 12945 |
Centers for Disease Control and Prevention |
Html |
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Avoid Mosquito Bites in the American Tropics | CDC Features |
Heading to the American Tropics for Spring Break? Don’t let mosquitoes and the diseases they carry ruin your vacation. |
| unusual bruising | 0.557527 |
| Insect Bites | 0.6294 |
| mosquito bites | 0.697165 |
| sex partners | 0.56152 |
| Zika infection | 0.589794 |
| Zika virus | 0.699824 |
| visit Insect Repellents | 0.691594 |
| best way | 0.725096 |
| severe birth defects | 0.691301 |
| latest information | 0.555699 |
| Zika | 0.813563 |
| travel health kit | 0.670324 |
| muscle pain | 0.594119 |
| joint swelling | 0.560268 |
| product label instructions | 0.651235 |
| chikungunya viruses | 0.766301 |
| trip | 0.597997 |
| following active ingredients | 0.643117 |
| breast-feeding women | 0.547625 |
| pregnant woman | 0.563336 |
| severe headache | 0.559425 |
| pain relief | 0.570882 |
| mosquitoes | 0.607216 |
|
| Zika viruses | 0.573218 |
| bone pain | 0.701246 |
| Severe dengue | 0.718346 |
| -registered insect repellents | 0.70286 |
| Wear long-sleeved shirts | 0.65783 |
| joint pain | 0.966651 |
| severe pain | 0.598889 |
| dengue | 0.960091 |
| bites | 0.83026 |
| insect repellents | 0.705902 |
| people | 0.642317 |
| chikungunya | 0.917914 |
| common symptoms | 0.688551 |
| travel medicine clinic | 0.669669 |
| infected person | 0.568338 |
| rash | 0.605063 |
| insect repellent | 0.740716 |
| lemon eucalyptus | 0.690511 |
| healthcare provider | 0.915045 |
| Need help | 0.546336 |
| high fever | 0.56941 |
| country-specific health risks | 0.663314 |
| Environmental Protection Agency | 0.921698 |
|
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| 13697 |
Centers for Disease Control and Prevention |
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Adult Obesity in the U.S. | CDC Features |
Adult obesity remains high across the U.S. Learn what you can do to get to a healthy weight. |
| country | 0.538098 |
| nation | 0.542156 |
| brisk walking | 0.73946 |
| type | 0.53922 |
| worksites | 0.569967 |
| safe places | 0.728126 |
| moderate physical activity | 0.894329 |
| MB | 0.539161 |
| percentage | 0.613748 |
| state | 0.687033 |
| local governments | 0.711291 |
| good adult role | 0.889106 |
| Eat fewer foods | 0.914928 |
| sugars | 0.55015 |
| neighborhoods | 0.546943 |
| U.S. health care | 0.933488 |
| street users | 0.713258 |
| recreation centers | 0.716383 |
| Safe routes | 0.729149 |
| condition | 0.539393 |
| markets | 0.536812 |
| health problems | 0.738162 |
| sugary drinks | 0.718453 |
| Drink water | 0.717114 |
| cancers | 0.547838 |
|
| parts | 0.538137 |
| New data | 0.744425 |
| difference | 0.538938 |
| healthy foods | 0.813787 |
| access | 0.572895 |
| ethnicity | 0.550489 |
| death | 0.53926 |
| adults | 0.572741 |
| costly health issue | 0.993705 |
| vegetables | 0.537022 |
| walkers | 0.54104 |
| fruits | 0.536998 |
| healthy eating habits | 0.973027 |
| fats | 0.544562 |
| heart disease | 0.740416 |
| affordable food | 0.933356 |
| Help children | 0.714124 |
| Design local streets | 0.893758 |
| Adult obesity | 0.964116 |
| race | 0.537654 |
| healthy weight | 0.863306 |
| people | 0.687308 |
| U.S. Learn | 0.759177 |
| affordable food choices | 0.901136 |
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| 14298 |
Centers for Disease Control and Prevention |
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Prevention Partnerships | CDC Features |
The STRYVE Action Council is a partnership to prevent youth violence |
| CDC | 0.385676 |
| National Centers | 0.337818 |
| Comprehensive Technical Package | 0.366653 |
| STRYVE Online | 0.340314 |
| prevention decision-making | 0.345634 |
| public health problems | 0.372193 |
| multi-sector group | 0.35243 |
| considerable harm | 0.342913 |
| youth violence prevention | 0.785304 |
| National Center | 0.33549 |
| Safe States Alliance | 0.364055 |
| STRYVE Action Council | 0.6831 |
| in-kind support | 0.335817 |
| comprehensive approaches | 0.335952 |
| common objective | 0.340708 |
| social service sectors | 0.36305 |
| violence prevention messages | 0.42425 |
| affiliate organizations | 0.335393 |
| Current Action Council | 0.385847 |
| national level | 0.33694 |
| violence prevention strategy | 0.436205 |
| Action council member | 0.383985 |
| Injury Prevention | 0.342617 |
| Associated Risk Behaviors. | 0.368697 |
| action council | 0.753619 |
|
| 2-year action plan | 0.373517 |
| young people | 0.378949 |
| young victims | 0.33663 |
| programmatic expertise | 0.338249 |
| action council members | 0.499117 |
| youth violence | 0.961338 |
| local health departments | 0.367822 |
| contact Nadine Doyle | 0.363302 |
| law enforcement | 0.335663 |
| public health | 0.497983 |
| violence prevention plan | 0.434377 |
| current policy environment | 0.363146 |
| Multi-sector partnerships | 0.346514 |
| community residents | 0.338985 |
| online space | 0.335948 |
| economic health | 0.341897 |
| national initiative | 0.336662 |
| action council network | 0.3853 |
| best available evidence | 0.366992 |
| public health problem | 0.381903 |
| practice shows | 0.338593 |
| violence prevention efforts | 0.431266 |
| multi-sector consortium | 0.34347 |
| public health sector | 0.371591 |
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| 15810 |
Centers for Disease Control and Prevention |
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Prediabetes Infographic |
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