| 990 |
Centers for Disease Control and Prevention |
Html |
en |
Trends in Tuberculosis - United States, 2013 |
Negar Niki Alami, MD1, Courtney M. Yuen, PhD1, Roque Miramontes, MPH2, Robert Pratt2, Sandy F. Price2, Thomas R. |
| annual TB surveillance | 0.309423 |
| latent TB infection | 0.360455 |
| foreign-born persons | 0.56319 |
| United States | 0.512704 |
| provisional TB surveillance | 0.354347 |
| overall national TB | 0.3128 |
| multidrug-resistant TB | 0.301252 |
| TB elimination | 0.491566 |
| TB disease | 0.319712 |
| MDR TB cases | 0.380733 |
| final TB incidence | 0.337685 |
| TB burden | 0.295135 |
| TB control efforts | 0.350998 |
| asymptomatic latent TB | 0.303777 |
| TB incidence persist | 0.387165 |
| active TB disease | 0.311112 |
| TB surveillance | 0.382704 |
| TB control programs | 0.362071 |
|
| population TB rate | 0.37048 |
| New York | 0.244256 |
| national TB incidence | 0.451987 |
| TB rates | 0.34748 |
| TB incidence rates | 0.436747 |
| TB | 0.900873 |
| U.S. TB cases | 0.340059 |
| TB control | 0.441604 |
| TB patients | 0.302127 |
| median incidence rate | 0.242854 |
| TB incidence | 0.643174 |
| drug-susceptibility test results | 0.201334 |
| TB diagnosis | 0.301577 |
| local TB control | 0.30829 |
| state TB incidence | 0.368321 |
| national TB case | 0.320072 |
| TB incidence rate | 0.555899 |
|
CLICK HERE |
| 4407 |
Centers for Disease Control and Prevention |
Image |
null |
FluView Logo (100W x 100H) |
null |
|
|
CLICK HERE |
| 6338 |
Centers for Disease Control and Prevention |
Html |
en |
Age and racial/ethnic disparities in prepregnancy smoking among women who delivered live births. |
Prenatal smoking prevalence remains high in the United States. To reduce prenatal smoking prevalence, efforts should focus on delivering evidence-based cessation interventions to women who are most likely to smoke before pregnancy. |
| North Carolina | 0.468336 |
| young women | 0.401793 |
| smoking cessation interventions | 0.399672 |
| New York City | 0.874994 |
| higher smoking prevalence | 0.41548 |
| lower prepregnancy smoking | 0.401496 |
| highest prepregnancy smoking | 0.451624 |
| prenatal smoking prevalence | 0.508538 |
| smoking status | 0.448074 |
| younger non-Hispanic whites | 0.445474 |
| prepregnancy smoking patterns | 0.396741 |
| racial/ethnic group | 0.416723 |
| racial/ethnic groups | 0.547364 |
| overall study population | 0.397764 |
| prepregnancy smoking prevalence | 0.834829 |
| pregnancy intention | 0.43944 |
| younger women | 0.442094 |
| reproductive health | 0.406508 |
| American Indians | 0.397968 |
| smoking cessation | 0.445362 |
| recent live birth | 0.520907 |
| chronic disease prevention | 0.445207 |
| women | 0.613103 |
| smoking prevalence | 0.842722 |
| smokers | 0.418492 |
|
| South Carolina | 0.419288 |
| West Virginia | 0.458535 |
| Pregnancy Risk Assessment | 0.47528 |
| higher prepregnancy smoking | 0.445816 |
| smoking prevalence estimates | 0.42798 |
| PRAMS data | 0.405542 |
| non-Hispanic whites | 0.518936 |
| extent prepregnancy smoking | 0.396765 |
| Rhode Island | 0.422388 |
| Alaska Natives | 0.42933 |
| PRAMS | 0.424815 |
| current smoking prevalence | 0.409263 |
| prepregnancy smoking status | 0.44221 |
| older women | 0.416357 |
| New Jersey | 0.422095 |
| New Mexico | 0.422083 |
| younger non-Hispanic white | 0.392198 |
| self-reported smoking prevalence | 0.435142 |
| previous live births | 0.407885 |
| non-Hispanic white women | 0.392621 |
| prepregnancy smoking | 0.900364 |
| Risk Assessment Monitoring | 0.472992 |
| younger Alaska Natives | 0.392158 |
| tobacco control | 0.40194 |
|
CLICK HERE |
| 6587 |
Centers for Disease Control and Prevention |
Html |
en |
Guidelines for Field Triage of Injured Patients |
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. |
| trauma care | 0.505114 |
| injuries | 0.51348 |
| EMS personnel | 0.47913 |
| criteria | 0.542533 |
| overall field triage | 0.491894 |
| Highway Traffic Safety | 0.486331 |
| systolic blood pressure | 0.504108 |
| seriously injured patients | 0.480251 |
| review | 0.479312 |
| respiratory rate | 0.478445 |
| guidelines | 0.667801 |
| injury | 0.625716 |
| trauma center care | 0.524973 |
| EMS providers | 0.539487 |
| national highway traffic | 0.486245 |
| patients | 0.723067 |
| field triage criteria | 0.504394 |
| highest level | 0.474765 |
| field triage process | 0.59428 |
| trauma center resources | 0.49704 |
| study | 0.475404 |
| criterion | 0.562696 |
| field triage decisions | 0.472782 |
| United States | 0.474212 |
| trauma centers | 0.520184 |
|
| Step | 0.479714 |
| field triage decision | 0.536949 |
| trauma center | 0.774202 |
| field triage | 0.919413 |
| emergency medical services | 0.532336 |
| rollover crashes | 0.50355 |
| trauma patients | 0.509956 |
| flail chest | 0.502605 |
| panel | 0.749692 |
| field triage search | 0.480407 |
| Traffic Safety Administration | 0.488427 |
| roof intrusion | 0.499267 |
| intrusion criterion | 0.485934 |
| injured adult patients | 0.482958 |
| triage tool | 0.475573 |
| ACS Field Triage | 0.477483 |
| triage decisions | 0.480861 |
| well-managed field triage | 0.480481 |
| triage decision scheme | 0.489937 |
| trauma center patients | 0.484693 |
| older adults | 0.510275 |
| severe injury | 0.576472 |
| National Expert Panel | 0.521398 |
| injured patients | 0.562813 |
|
CLICK HERE |
| 7078 |
Centers for Disease Control and Prevention |
Html |
en |
Global Health - Peru |
null |
| Content source | 0.450848 |
| CDC | 0.429417 |
| non-federal site | 0.526974 |
| infectious disease threats. | 0.96836 |
|
| global health presence | 0.812946 |
| targets | 0.273511 |
| Health Security Agenda | 0.924016 |
|
CLICK HERE |
| 9510 |
Centers for Disease Control and Prevention |
Html |
en |
Multidrug-Resistant Bacteroides fragilis - Seattle,Washington, 2013 |
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. |
| Follow-up blood cultures | 0.420947 |
| Bacteroides fragilis | 0.552156 |
| B. fragilis strain | 0.718566 |
| subsequent blood cultures | 0.417538 |
| packed red blood | 0.425051 |
| intra-abdominal fluid collections | 0.457436 |
| routine susceptibility testing | 0.415905 |
| contact precautions | 0.470766 |
| unusual resistance pattern | 0.439548 |
| antimicrobial resistance | 0.41842 |
| MDR B. | 0.765967 |
| case | 0.428896 |
| blood cultures | 0.517414 |
| inpatient medical treatment | 0.4251 |
| additional percutaneous drains | 0.412496 |
| resistance | 0.540039 |
| additional percutaneous drain | 0.413699 |
| multiple antibiotics | 0.436962 |
| probable gram-negative rods | 0.412307 |
| complex tumor resection | 0.409717 |
| ring-enhancing fluid collection | 0.415007 |
| multiple fluid collections | 0.423129 |
| inpatient medical care | 0.52183 |
| case reports worldwide | 0.422819 |
|
| proper infection control | 0.424108 |
| antibiotics | 0.473494 |
| multidrug resistance | 0.409922 |
| United States | 0.903633 |
| unspecified intravenous antibiotics | 0.447819 |
| microbiologic testing | 0.418608 |
| anaerobic gram-negative rods | 0.500978 |
| Repeat blood cultures | 0.423935 |
| abdominal fluid culture | 0.418857 |
| obligate anaerobic bacteria | 0.436522 |
| ssp. fragilis | 0.532065 |
| multiple large liver | 0.413087 |
| health care | 0.418463 |
| previous MDR B. | 0.487647 |
| white blood cell | 0.425192 |
| fluid collections | 0.474518 |
| intra-abdominal infections | 0.466225 |
| past medical history | 0.432876 |
| Washington Medical Center | 0.696561 |
| MDR bacteria | 0.409378 |
| infection control measures | 0.607196 |
| intra-abdominal abscesses | 0.478729 |
| metronidazole resistance | 0.450888 |
| carbapenem resistance | 0.41161 |
|
CLICK HERE |
| 10156 |
Centers for Disease Control and Prevention |
Html |
en |
Arsenic - NIOSH Workplace Safety and Health Topic |
null |
| essential health | 0.241114 |
| Food Additive Series | 0.295858 |
| Occupational Exposure | 0.25859 |
| work environment | 0.23324 |
| NIOSH Criteria Document | 0.49782 |
| measurement methods | 0.235941 |
| Emergency Response Safety | 0.337476 |
| synonyms/trade names | 0.231409 |
| Health Topics | 0.2294 |
| high-priority chemical | 0.248327 |
| Arsenic Compounds | 0.660796 |
| Health Guideline | 0.233778 |
| NIOSH Manual | 0.378221 |
| Chemical Substance Information | 0.347074 |
| gallium arsenide | 0.361347 |
| concise information | 0.247513 |
| IARC Monographs | 0.334834 |
| Integrated Risk Information | 0.32249 |
| IDLH documents | 0.225975 |
| Intelligence Bulletin No. | 0.32153 |
| arsenic | 0.967415 |
| gallium arsenide dissociates | 0.360912 |
| Substance Data Bank | 0.300844 |
| information sources | 0.249659 |
| NIOSH Pocket Guide | 0.544957 |
|
| International Chemical Safety | 0.361398 |
| adverse effects | 0.304996 |
| respirator recommendations | 0.352608 |
| physical properties | 0.230782 |
| NIOSH Alert | 0.391566 |
| personal protection | 0.230611 |
| health concentrations | 0.326264 |
| Key data | 0.232819 |
| CAS/RTECS numbers | 0.231238 |
| safety information | 0.266504 |
| exposure limits | 0.372361 |
| conversion factors | 0.223469 |
| Chemical Sampling information | 0.340247 |
| Substances Disease Registry | 0.299096 |
| industrial hygiene information | 0.369435 |
| Health Database | 0.243849 |
| Recent experimental animal | 0.315265 |
| Publication No. | 0.43777 |
| emergency response community | 0.322015 |
| Environmental Health Criteria | 0.335002 |
| Substance Fact Sheets | 0.304907 |
| inorganic arsenic | 0.80845 |
| Hazardous Substance | 0.306492 |
| Risk Assessment Information | 0.325534 |
|
CLICK HERE |
| 11391 |
Centers for Disease Control and Prevention |
Html |
en |
CDC Ebola Update #2 - HAN Archive - 00366 | Health Alert Network (HAN) |
Health Alert Network (HAN). Provided by the Centers for Disease Control and Prevention (CDC). |
| accurate risk information | 0.502445 |
| CDC | 0.645609 |
| West Africans | 0.507761 |
| Public Health Emergency | 0.519237 |
| infected animals | 0.464108 |
| Online Resources | 0.521711 |
| international organizations | 0.458836 |
| international partners | 0.519614 |
| Ebola virus | 0.67408 |
| Disease Control | 0.516309 |
| direct contact | 0.457799 |
| new information | 0.517358 |
| CDC website | 0.52145 |
| Content Syndication | 0.460969 |
| World Health Organization | 0.622184 |
| U.S. government agencies | 0.621439 |
| Emergency Operations Center | 0.5128 |
| public health officials | 0.505685 |
| ebola cases | 0.715941 |
| virus spreads | 0.456861 |
| international public health | 0.519056 |
| PM ET | 0.463382 |
| Ebola | 0.929784 |
| Case Deaths | 0.469059 |
| Confirmed Case Count | 0.513419 |
|
| CDC Health Alert | 0.601841 |
| U.S. healthcare workers | 0.506277 |
| stigma | 0.45958 |
| United States | 0.760024 |
| rapidly changing situation | 0.502626 |
| American healthcare workers | 0.502425 |
| enhances health decisions | 0.506171 |
| mucous membranes | 0.459175 |
| critical health issues | 0.509027 |
| sick travelers | 0.495944 |
| appropriate patient care | 0.499778 |
| Model good behaviors | 0.498667 |
| international response | 0.51803 |
| public health | 0.599554 |
| key messages | 0.525938 |
| Key Messages Summary | 0.510476 |
| substantial risk | 0.460449 |
| International Concern | 0.462931 |
| public health actions | 0.510273 |
| current Ebola outbreak | 0.922611 |
| Ebola response | 0.602646 |
| U.S. general population | 0.507693 |
| largest Ebola outbreak | 0.706416 |
| West Africa | 0.734988 |
|
CLICK HERE |
| 14473 |
Centers for Disease Control and Prevention |
Html |
en |
Thousands of public pools, hot tubs closed due to serious violations |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| Mortality Weekly Report | 0.582676 |
| CDC’s National | 0.507374 |
| safe swimming steps | 0.547279 |
| Michele Hlavsa | 0.485878 |
| easy checklist | 0.4803 |
| national standards | 0.477079 |
| water playgrounds | 0.742397 |
| safety problems | 0.479996 |
| Zoonotic Infectious Diseases | 0.569142 |
| routine inspections | 0.487261 |
| private pools | 0.544921 |
| Beth Bell | 0.486284 |
| CDC-led development | 0.48019 |
| young swimmers | 0.488866 |
| Environmental health practitioners | 0.567351 |
| important role | 0.487079 |
| best practices–based guidelines | 0.552135 |
| CDC’s Morbidity | 0.523264 |
| recreational water venues | 0.562821 |
| hot tubs | 0.941258 |
| public aquatic venues | 0.606658 |
| great way | 0.499 |
| hot tub | 0.499954 |
| safety violations | 0.499221 |
| public health inspectors | 0.591328 |
|
| water playground | 0.501166 |
| public places | 0.510001 |
| public pool | 0.513382 |
| M.P.H. | 0.430557 |
| local health departments | 0.563977 |
| Inspection data | 0.489104 |
| public health | 0.605118 |
| pool-chemical–associated injuries | 0.489612 |
| illness | 0.428863 |
| New York | 0.489396 |
| visit www.cdc.gov/mahc | 0.478254 |
| key findings | 0.490246 |
| swim season | 0.485096 |
| visit www.cdc.gov/healthywater/swimming | 0.477596 |
| inspection results | 0.485984 |
| state authorities | 0.482126 |
| people | 0.430791 |
| common health | 0.492569 |
| maintenance practices | 0.478335 |
| Model Aquatic Health | 0.69095 |
| public pools | 0.947325 |
| Aquatic Health Code | 0.686965 |
| aquatic venues | 0.670921 |
| family | 0.435438 |
|
CLICK HERE |
| 15242 |
Centers for Disease Control and Prevention |
Html |
en |
An Intervention to Increase Availability of Healthy Foods and Beverages in New York City Hospitals: The Healthy Hospital Food Initiative, 2010-2014 |
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. |
| healthy value meal | 0.499572 |
| hospitals | 0.897622 |
| hospital cafeterias | 0.570874 |
| NYC hospitals | 0.527998 |
| Fewer hospitals | 0.492252 |
| foods | 0.484476 |
| Background
Hospitals | 0.51378 |
| health commissioner | 0.489079 |
| hospital staff | 0.483064 |
| Healthy Hospital Food | 0.553173 |
| end line | 0.506006 |
| Twenty-eight hospital cafeterias | 0.526014 |
| beverage vending machines | 0.795346 |
| Hospital Nutrition Environment | 0.473965 |
| rigorous nutrition standards | 0.545233 |
| hospital food environments | 0.519446 |
| New York City | 0.882175 |
| Hospitals Corporation | 0.501898 |
| health department dietitians | 0.557245 |
| technical assistance | 0.534063 |
| private hospitals | 0.660893 |
| hospital food environment | 0.555282 |
| health department staff | 0.69677 |
| hospital food initiative | 0.552458 |
|
| food service | 0.526367 |
| public health | 0.477102 |
| Food Vending Machines | 0.552409 |
| food environment | 0.567333 |
| York City Health | 0.511905 |
| HHFI | 0.575179 |
| nutrition standards | 0.804006 |
| complements hospitals | 0.504971 |
| health department | 0.964205 |
| implementation | 0.475862 |
| City Health Code | 0.510003 |
| hospital food service | 0.50591 |
| food | 0.672445 |
| NYC Food Standards | 0.54978 |
| children’s hospitals | 0.519883 |
| York City Department | 0.50086 |
| mandatory nutrition standards | 0.495155 |
| patient meals | 0.521494 |
| health department leadership | 0.479942 |
| hospital food | 0.634127 |
| sugary drinks | 0.554177 |
| public hospitals | 0.671912 |
| New York Hospital | 0.484807 |
|
CLICK HERE |