| 904 |
Centers for Disease Control and Prevention |
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Medications in Pregnancy - NCBDDD |
The journal Pharmacoepidemiology and Drug Safety has published a new brief report: “Safe Lists for Medications in Pregnancy: Inadequate Evidence Base and Inconsistent Guidance from Web-based Information, 2011.” You can read the article’s abstract here. See below for a summary of the findings from this article. |
| health care provider | 0.541358 |
| medicine products | 0.388708 |
| visit www.cdc.gov/pregnancymedication | 0.353101 |
| health information | 0.379671 |
| Prevention Study | 0.360663 |
| National Birth Defects | 0.522009 |
| lack data | 0.358979 |
| sufficient evidence | 0.377205 |
| comprehensive approach | 0.356275 |
| websites post lists | 0.554981 |
| Drug Safety | 0.389814 |
| health care providers | 0.490555 |
| medicine ingredients | 0.383673 |
| pregnancy | 0.839286 |
| brief study | 0.373396 |
| inconsistent guidance | 0.436969 |
| large proportion | 0.364598 |
| women. Half | 0.382197 |
| Lind JN | 0.366981 |
| Inadequate Evidence Base | 0.844777 |
| Pregnant women | 0.385901 |
| Humphrey JR | 0.358567 |
| women | 0.516958 |
| key message | 0.388804 |
| medicines | 0.508159 |
|
| United States | 0.374838 |
| medicine product | 0.384001 |
| cold medicine | 0.390025 |
| birth defects2 | 0.381141 |
| safety claims | 0.514302 |
| Pharmacoepidemiol Drug Saf. | 0.483701 |
| reproductive age look | 0.511913 |
| pain relief product | 0.486035 |
| previous research | 0.369833 |
| health care | 0.711421 |
| new brief report | 0.548862 |
| scientific evidence | 0.382209 |
| prescription medicine1 | 0.373476 |
| pregnancy. Researchers | 0.367494 |
| study results | 0.383644 |
| medicine | 0.578451 |
| birth defects | 0.923883 |
| journal Pharmacoepidemiology | 0.3934 |
| internet websites | 0.697874 |
| Peters SL | 0.353928 |
| active internet websites | 0.51392 |
| safe lists | 0.667072 |
| Web-based Information | 0.529586 |
| et al | 0.353028 |
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| 1284 |
Centers for Disease Control and Prevention |
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Science Clips - Monday, March 31, 2014 |
Each Tuesday, to enhance awareness of emerging scientific knowledge, selected science clips will be posted here for the public health community. The focus is applied public health research and prevention science that has the capacity to improve health now. |
| endorsement | 0.443313 |
| current awareness | 0.484621 |
| findings | 0.362455 |
| asterisk | 0.348666 |
| focus | 0.336495 |
| prevention science | 0.527322 |
| science clips | 0.878568 |
| Gail Bang | 0.504663 |
| Disease Control | 0.486123 |
| CDC Science Clips | 0.818911 |
| Kelli Sibert | 0.501844 |
| clinicians | 0.335933 |
| Child Health | 0.525343 |
| Librarian | 0.513322 |
| factual accuracy | 0.490379 |
| Maternal | 0.341281 |
| conclusions | 0.336512 |
| scientific articles | 0.521655 |
| Connick | 0.347516 |
| MLIS | 0.398368 |
| DHHS | 0.533403 |
| DISCLAIMER | 0.344601 |
| general review articles | 0.685464 |
| items | 0.374853 |
|
| Web Developer | 0.491235 |
| Victoria Burchfield | 0.494492 |
| authoritative sources | 0.50682 |
| MD MPH | 0.528364 |
| public health community | 0.73891 |
| Vital Signs issue | 0.684298 |
| scientific knowledge | 0.527509 |
| public health professionals | 0.695083 |
| scientific information | 0.504463 |
| omission | 0.346504 |
| public health | 0.996904 |
| views | 0.354282 |
| Jane Gidudu | 0.493921 |
| informational purposes | 0.474234 |
| public health literature | 0.66673 |
| B. Thacker CDC | 0.820645 |
| background information | 0.500528 |
| original authors | 0.488184 |
| opinion | 0.355304 |
| non-CDC Websites | 0.484176 |
| John Iskander | 0.521892 |
| CDC Vital Signs | 0.862278 |
| news sources | 0.482463 |
| Editor | 0.364688 |
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Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Health Care Reform and Women™s Insurance Coverage for Breast and Cervical Cancer Screening - CDC |
The Patient Protection and Affordable Care Act of 2010 (ACA) will increase insurance coverage for US citizens and for breast and cervical cancer screening through insurance expansions and regulatory changes. The primary objective of this study was to estimate the number of low-income women who would gain health insurance after implementation of the ACA and thus be able to obtain cancer screening. |
| uninsured people | 0.500901 |
| state health insurance | 0.495098 |
| health insurance | 0.963047 |
| insurance coverage | 0.903802 |
| health insurance status | 0.512314 |
| number | 0.543714 |
| NBCCEDP services | 0.538621 |
| women’s health | 0.484681 |
| NBCCEDP breast cancer | 0.485467 |
| Medicaid | 0.503146 |
| insurance expansions | 0.520074 |
| Preventive Services Task | 0.536736 |
| health insurance coverage | 0.636524 |
| Cancer Early Detection | 0.513166 |
| uninsured rates | 0.518074 |
| uninsured reference group | 0.513192 |
| uninsured rate | 0.526116 |
| cervical cancer screening | 0.624876 |
| cervical cancer | 0.906119 |
| English proficiency | 0.547466 |
| Affordable Care Act | 0.495543 |
| higher uninsured levels | 0.500043 |
| low-income women | 0.85614 |
| uninsured low-income women | 0.642633 |
|
| health insurance exchanges | 0.564826 |
| uninsured population | 0.492239 |
| Congressional Budget Office | 0.694789 |
| women | 0.903327 |
| uninsured women | 0.707342 |
| NBCCEDP cervical cancer | 0.494684 |
| cancer screening | 0.832865 |
| states | 0.514581 |
| public health screening | 0.489613 |
| future uninsured rates | 0.502966 |
| uninsured low-income population | 0.563392 |
| ACA | 0.620769 |
| breast cancer screening | 0.503417 |
| Early Detection Program | 0.496796 |
| federal poverty guidelines | 0.52541 |
| health insurance plans | 0.511202 |
| American Community Survey | 0.496461 |
| NBCCEDP | 0.578004 |
| cancer screening services | 0.5291 |
| breast cancer | 0.520762 |
| Services Task Force | 0.539941 |
| Medicaid coverage | 0.484878 |
| low-income uninsured women | 0.703853 |
| Cervical Cancer Early | 0.526438 |
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CLICK HERE |
| 7631 |
Centers for Disease Control and Prevention |
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Evaluation of 11 Commercially Available Rapid Influenza Diagnostic Tests - United States, 2011-2012 |
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. |
| influenza | 0.904016 |
| clinical management | 0.515518 |
| influenza virus type | 0.685413 |
| EZ Flu A+B | 0.497355 |
| United States | 0.501595 |
| influenza virus concentrations | 0.696631 |
| Influenza Div | 0.60345 |
| influenza virus NP | 0.663636 |
| influenza A viruses | 0.655171 |
| Midwest Respiratory Virus | 0.498754 |
| dilution samples | 0.502496 |
| seasonal influenza viruses | 0.723975 |
| different influenza viruses | 0.654716 |
| Stock viruses | 0.495219 |
| novel influenza viruses | 0.646248 |
| influenza virus infection | 0.629479 |
| influenza B viruses | 0.641142 |
| virus antigen | 0.506295 |
| Biological Advanced Research | 0.503259 |
| public health | 0.514492 |
| virus dilution | 0.495512 |
| highest virus concentrations | 0.509415 |
|
| influenza season | 0.622001 |
| influenza activity | 0.566175 |
| Rapid Influenza Testing | 0.611781 |
| RIDTs | 0.646535 |
| representative seasonal influenza | 0.621295 |
| public health actions | 0.503676 |
| human seasonal influenza | 0.591603 |
| BD Directigen EZ | 0.496351 |
| rapid influenza tests | 0.585814 |
| high virus concentrations | 0.511937 |
| influenza viruses | 0.873831 |
| influenza virus nucleoprotein | 0.677122 |
| influenza B virus | 0.627065 |
| influenza virus | 0.840524 |
| rapid influenza | 0.700724 |
| Improving Rapid Influenza | 0.609917 |
| SAS FluAlert Influenza | 0.645233 |
| positive test results | 0.507142 |
| influenza diagnostic tests | 0.71242 |
| recent influenza viruses | 0.655402 |
| Influenza Reagent Resource | 0.583778 |
| RIDT performance | 0.520542 |
|
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Centers for Disease Control and Prevention |
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Interruptions in Supplies of Second-Line AntituberculosisDrugs - United States, 2005-2012 |
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. |
| first-line drugs | 0.272577 |
| medical product shortages | 0.384533 |
| local TB programs | 0.468238 |
| TB drug shortages | 0.715461 |
| MDR TB medications | 0.458384 |
| TB experts | 0.367885 |
| U.S. Department | 0.300017 |
| MDR TB treatment | 0.492818 |
| complicated procurement process | 0.391126 |
| state health departments | 0.287153 |
| multidrug-resistant TB case | 0.368799 |
| state TB programs | 0.423976 |
| TB Prevention | 0.356099 |
| state TB controllers | 0.390133 |
| SLD supplies | 0.304431 |
| treatment delay | 0.274819 |
| investigational new drug | 0.383153 |
| SLD shortages | 0.62812 |
| TB meningitis | 0.367504 |
| impending drug shortages | 0.436809 |
| health professional societies | 0.299449 |
| clinically interchangeable versions | 0.28849 |
| drug-resistant TB | 0.401651 |
| drug resistance | 0.283298 |
| TB programs | 0.520268 |
|
| XDR TB treatment | 0.442453 |
| FDA | 0.338028 |
| drug administration | 0.341773 |
| United States | 0.494334 |
| TB control officials | 0.39428 |
| TB disease | 0.369429 |
| TB elimination | 0.347745 |
| MDR TB cases | 0.460671 |
| U.S. TB burden | 0.448475 |
| Federal Advisory Council | 0.350914 |
| drug shortages | 0.765695 |
| impending shortages | 0.342907 |
| MDR TB drugs | 0.521915 |
| U.S. TB programs | 0.415296 |
| drug-susceptible TB | 0.367103 |
| national TB program | 0.389222 |
| MDR TB | 0.979945 |
| health departments | 0.333967 |
| local health departments | 0.296082 |
| TB control programs | 0.505323 |
| MDR TB case | 0.473318 |
| nationwide shortages | 0.423231 |
| XDR TB | 0.602802 |
| SLDs | 0.337072 |
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Centers for Disease Control and Prevention |
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Features - Share the Thalassemia Quiz, - NCBDDD |
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| 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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Centers for Disease Control and Prevention |
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CDC Online Newsroom - Digital Press Kit: Multistate Outbreaks of Human Salmonella Infections Linked to Small Turtles |
Multistate Outbreaks of Human Salmonella Infections Linked to Small Turtles |
| Human | 0.317052 |
| Salmonella Infections Linked | 0.967339 |
| Multistate Outbreaks | 0.794362 |
|
| CDC Online Newsroom | 0.928704 |
| Digital Press Kit | 0.648721 |
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Centers for Disease Control and Prevention |
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Ebola Radio Health Messages in Local Languages |
null |
| nous protéger contre | 0.625616 |
| alcohol-based hand sanitizer | 0.407884 |
| d’autres personnes | 0.390686 |
| pas Ebola | 0.629586 |
| infected animals | 0.424587 |
| ou une malédiction | 0.368579 |
| Ebola virus | 0.671561 |
| Ebola outbreak | 0.723674 |
| muscle pain | 0.408572 |
| contact | 0.433972 |
| contracter le virus | 0.399132 |
| stomach pain | 0.411711 |
| family members | 0.390871 |
| Ebola est parfois | 0.603844 |
| homme contracte Ebola | 0.585399 |
| le virus d’Ebola | 0.397101 |
| body fluids | 0.618207 |
| nous pouvons | 0.480326 |
| La grand-mère ou | 0.368133 |
| visit c-d-c-dot-gov-slash-ebola | 0.545 |
| symptoms | 0.369573 |
| est présent chez | 0.398897 |
| Ebola patients | 0.596821 |
| chlore et le | 0.370232 |
| bonnes informations | 0.471336 |
|
| les chauves-souris et | 0.437129 |
| n’est pas Ebola | 0.609273 |
| Les personnes | 0.375421 |
| c’est que les | 0.389186 |
| protéger contre Ebola | 0.886507 |
| détruisent le virus | 0.368622 |
| peut-être pas Ebola | 0.610218 |
| Africa Ebola outbreak | 0.676438 |
| pouvons nous protéger | 0.613399 |
| ebola | 0.997581 |
| health care workers | 0.671417 |
| peut transmettre Ebola | 0.599973 |
| c’est Ebola | 0.586237 |
| health care systems | 0.375585 |
| health care worker | 0.370752 |
| détruit le virus | 0.369843 |
| right protective clothing | 0.469603 |
| right information | 0.475194 |
| people | 0.406367 |
| medical care | 0.380557 |
| doctor | 0.379003 |
| le virus ebola | 0.786765 |
| West Africa | 0.492174 |
| Ebola est présent | 0.667758 |
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CLICK HERE |
| 12526 |
Centers for Disease Control and Prevention |
Video |
en |
Making the Business Case for Prevention: A Grocery Store's Healthy Options |
Learn how the owner of a grocery store chain is helping improve his bottom line, and the health of his customers, by dedicating a checkout aisle to healthy treats; placing and promoting healthy food and drinks throughout the store; and encouraging kids to be more active by stocking toys that promote physical activity.
Comments on this video are allowed in accordance with our comment policy: http://www.cdc.gov/SocialMedia/Tools/CommentPolicy.html
This video can also be viewed at |
| Prevention | 0.25418 |
| Grocery Store | 0.987186 |
|
| Healthy Options | 0.90663 |
| YouTube | 0.565965 |
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Centers for Disease Control and Prevention |
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Identifying New Positives and Linkage to HIV Medical Care -23 Testing Site Types, United States, 2013 |
Puja Seth, PhD1; Guoshen Wang, MS1; Nicoline T. Collins, MPH1; Lisa Belcher, PhD1 (Author affiliations at end of text). |
| CDC-funded HIV testing | 0.251932 |
| National HIV/AIDS Strategy | 0.237718 |
| site types | 0.320982 |
| new HIV infections | 0.261848 |
| HIV tests | 0.299229 |
| HIV prevalence | 0.23699 |
| adult entertainment venues | 0.23882 |
| STD clinics | 0.322145 |
| HIV surveillance record | 0.233484 |
| Valid HIV tests | 0.237858 |
| HIV testing efforts | 0.233174 |
| HIV clinics | 0.257161 |
| highest percentage | 0.21115 |
| percentage | 0.211967 |
| HIV testing site | 0.247948 |
| substantially more HIV | 0.214219 |
| individual HIV tests | 0.222887 |
| HIV testing resources | 0.286357 |
| HIV Testing Initiative | 0.228951 |
| individual residences | 0.207321 |
|
| services field visits | 0.307903 |
| non–health care settings | 0.893435 |
| hiv testing | 0.555827 |
| HIV prevention services | 0.239405 |
| HIV medical care | 0.399544 |
| unspecified outpatient facilities | 0.31286 |
| HIV testing records | 0.247877 |
| routine HIV screening | 0.244152 |
| testing sites | 0.294112 |
| HIV counseling | 0.293661 |
| community settings | 0.211563 |
| HIV | 0.620097 |
| CDC HIV testing | 0.258433 |
| health care settings | 0.622326 |
| CDC-funded HIV tests | 0.270589 |
| new positives | 0.938097 |
| HIV prevention activities | 0.237132 |
| HIV tests* | 0.21518 |
| high HIV prevalence | 0.216057 |
| partner services field | 0.306861 |
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