| 4422 |
Centers for Disease Control and Prevention |
Html |
en |
Diseases & Conditions A-Z Index - K |
CDC Diseases and Conditions A-Z Index |
| MPEG | 0.741242 |
| site | 0.541063 |
| PDF | 0.544429 |
|
|
CLICK HERE |
| 4665 |
Centers for Disease Control and Prevention |
Html |
en |
CAN DO Houston: a community-based approach to preventing childhood obesity |
null |
| Houston community partners | 0.376555 |
| after-school program | 0.506711 |
| grocery store tours | 0.412597 |
| Houston Independent School | 0.364096 |
| Magnolia Park | 0.6881 |
| Texas Health Science | 0.403819 |
| nutrition education | 0.436849 |
| healthy minds | 0.416309 |
| Toral F. Sindha | 0.344026 |
| children | 0.378664 |
| community engagement | 0.336977 |
| Houston initiatives | 0.449468 |
| childhood obesity prevention | 0.463047 |
| Houston Department | 0.359329 |
| Houston Police Department | 0.465228 |
| Magnolia Park neighborhoods | 0.346558 |
| Houston metropolitan area | 0.356568 |
| Houston committee meetings | 0.340561 |
| community | 0.51321 |
| school health program | 0.340324 |
| elementary school | 0.376663 |
| Houston stakeholders | 0.350668 |
| good nutrition | 0.395338 |
| substantial staff time | 0.338755 |
|
| M. D. Anderson | 0.426456 |
| Houston pilot initiative | 0.371497 |
| 95th percentile | 0.338424 |
| Texas M. D. | 0.427203 |
| super neighborhoods | 0.42922 |
| students | 0.387821 |
| Houston Area Dietetic | 0.335221 |
| Anderson Cancer Center | 0.425533 |
| obesity prevention initiative | 0.383467 |
| after-school soccer program | 0.358909 |
| focus groups | 0.372071 |
| physical education teacher | 0.489304 |
| evidence-based practices | 0.388651 |
| key informant interviews | 0.522868 |
| Nancy Post Correa | 0.336057 |
| Houston neighborhoods | 0.346312 |
| Houston Wellness Association | 0.406531 |
| staff | 0.346552 |
| physical education teachers | 0.357841 |
| D. Anderson Cancer | 0.42645 |
| physical activity | 0.761083 |
| Health Science Center | 0.400127 |
| childhood obesity | 0.915671 |
| Harris County | 0.34507 |
|
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| 6810 |
Centers for Disease Control and Prevention |
Html |
en |
Summary of Notifiable Diseases --- United States, 2003 |
null |
| CDC | 0.563775 |
| foreign-born persons | 0.409315 |
| data | 0.593292 |
| nationally notifiable diseases | 0.636751 |
| incidence data | 0.432177 |
| number | 0.427902 |
| Notifiable disease reports | 0.440353 |
| CDC programs | 0.4599 |
| disease reporting | 0.406247 |
| public health surveillance | 0.541973 |
| state health departments | 0.449253 |
| disease control | 0.402372 |
| national notifiable diseases | 0.571002 |
| Lyme disease cases | 0.445704 |
| surveillance data | 0.472369 |
| World Health Organization | 0.453751 |
| S. enterica serotype | 0.459699 |
| public health officials | 0.434793 |
| health surveillance data | 0.436092 |
| population | 0.408807 |
| national surveillance data | 0.422626 |
| persons | 0.458224 |
| Health Statistics | 0.402944 |
| notifiable disease cases | 0.495287 |
| nationally notifiable disease | 0.508016 |
|
| Puerto Rico | 0.401435 |
| United States | 0.918621 |
| reported chlamydial infection | 0.488895 |
| age group | 0.425056 |
| 100,000 | 0.412787 |
| notifiable diseases | 0.809589 |
| total cases | 0.41074 |
| reported gonorrhea rate | 0.480525 |
| notifiable infectious diseases | 0.471316 |
| various CDC programs | 0.416819 |
| total | 0.418586 |
| certain notifiable diseases | 0.472304 |
| U.S. Virgin Islands | 0.42114 |
| health departments | 0.504644 |
| surveillance | 0.548023 |
| public health | 0.652966 |
| E. coli | 0.473898 |
| 50 states | 0.429942 |
| cases | 0.768306 |
| rates | 0.403929 |
| national case total | 0.401233 |
| ArboNET surveillance data | 0.414863 |
| Notifiable Diseases Surveillance | 0.532488 |
| incidence | 0.465207 |
|
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| 7819 |
Centers for Disease Control and Prevention |
Html |
en |
Tuberculosis - Health Communication |
Gateway to Health Communication and Social Marketing Practice - Tuberculosis |
| latent TB infection | 0.759315 |
| infectious TB disease | 0.418201 |
| TB skin test | 0.457089 |
| XDR TB | 0.470677 |
| TB disease depend | 0.437893 |
| extensively drug-resistant TB | 0.426292 |
| important TB medicines | 0.425216 |
| TB cases | 0.383504 |
| TB disease | 0.873561 |
| people | 0.277175 |
|
| TB | 0.99083 |
| regular TB | 0.38688 |
| Multidrug-resistant TB | 0.393606 |
| drug-resistant TB disease | 0.435781 |
| active TB disease | 0.553715 |
| MDR TB | 0.472231 |
| drug-resistant TB | 0.465198 |
| TB symptoms | 0.371695 |
| TB bacteria | 0.743305 |
|
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| 8041 |
Centers for Disease Control and Prevention |
Html |
en |
Breast Cancer - CDC Vital Signs |
CDC Vital Signs links science, policy, and communications with the intent of communicating a call-to-action for the public. CDC Vital Signs provides the most recent, comprehensive data on key indicators of important health topics. |
| uninsured women | 0.209164 |
| federally-funded health clinics | 0.24649 |
| mammograms | 0.205642 |
| black women experience | 0.288672 |
| Educate women | 0.204276 |
| health information technology | 0.243089 |
| follow-up tests | 0.201705 |
| breast cancers | 0.239803 |
| local health department | 0.240226 |
| National Breast | 0.232114 |
| mammogram | 0.300715 |
| well-trained case managers | 0.223144 |
| health insurance coverage | 0.242595 |
| health insurance companies | 0.239523 |
| health care systems | 0.245742 |
| highest death rates | 0.242786 |
| Cancer Early Detection | 0.243755 |
|
| breast cancer screening | 0.328965 |
| timely follow-up | 0.208421 |
| breast cancer | 0.90993 |
| Breast cancer deaths | 0.349096 |
| fewer black women | 0.4026 |
| electronic health records | 0.348354 |
| follow-up times | 0.201174 |
| breast cancer care | 0.310758 |
| Affordable Care Act | 0.232035 |
| different treatment experiences | 0.238138 |
| white women | 0.832878 |
| community health workers | 0.237354 |
| death rates | 0.257876 |
| follow-up care | 0.261317 |
| timely followup care | 0.237158 |
| black women | 0.723548 |
| community health center | 0.238748 |
|
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| 9765 |
Centers for Disease Control and Prevention |
Html |
en |
Notes from the Field: Outbreaks of Cyclosporiasis - UnitedStates, June-August 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. |
| mmwrq@cdc.gov. | 0.70243 |
| R. Reid Harvey | 0.858624 |
| meal consumption data | 0.760656 |
| CDC | 0.717721 |
| romaine lettuce | 0.707892 |
| Fort Bend County | 0.90816 |
| United States | 0.760355 |
| red cabbage | 0.776456 |
| Coordinated Outbreak Response | 0.757161 |
| original MMWR paper | 0.754732 |
| U.S. Government Printing | 0.749745 |
| iceberg lettuce | 0.706713 |
| Human Services | 0.73894 |
| restaurant A–associated gastroenteritis | 0.800567 |
| National Notifiable Disease | 0.780416 |
| C. cayetanensis infections | 0.777755 |
| Drug Administration | 0.777572 |
| State Health Svcs | 0.788379 |
| gastrointestinal illness | 0.698459 |
| uncooked cilantro | 0.753397 |
| Human Svcs | 0.700727 |
| MMWR HTML versions | 0.748617 |
| U.S. Department | 0.739024 |
|
| Nebraska | 0.705317 |
| fresh cilantro | 0.891223 |
| electronic PDF version | 0.749072 |
| Zoonotic Infectious Diseases | 0.749045 |
| restaurant-associated cases | 0.778746 |
| statistically significant association | 0.764085 |
| Bend County Health | 0.766803 |
| cyclosporiasis cases | 0.701165 |
| parasite Cyclospora | 0.698104 |
| Global Health | 0.699391 |
| subject line | 0.697874 |
| unusually large number | 0.779665 |
| Mexican-style restaurant | 0.723926 |
| restaurant A. Lettuce | 0.799993 |
| public health officials | 0.941197 |
| fresh cooked cilantro | 0.831651 |
| local public health | 0.948241 |
| Texas Dept | 0.69963 |
| Iowa | 0.705348 |
| fresh produce ingredients | 0.769554 |
| original paper copy | 0.742526 |
| Texas | 0.708225 |
|
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| 10346 |
Centers for Disease Control and Prevention |
Html |
en |
Making Health Care Safer infographic |
Antibiotics save lives, but poor prescribing practices are putting patients at unnecessary risk for preventable allergic reactions, super-resistant infections, and deadly diarrhea. Errors in prescribing decisions also contribute to antibiotic resistance,
making these drugs less likely to work in the future. |
| doctor orders | 0.531634 |
| shorter time | 0.521096 |
| planned post-discharge treatment | 0.909476 |
| urinary tract | 0.649297 |
| previous doctor | 0.531152 |
| methicillin-susceptible staph | 0.545987 |
| kidneys | 0.43054 |
| clear notes | 0.520885 |
| best medical care | 0.63179 |
| clipboard | 0.502255 |
| microscope | 0.425143 |
| antibiotic stewardship policy | 0.635248 |
| duration | 0.510511 |
| better antibiotic | 0.530078 |
| George | 0.660305 |
| pneumonia | 0.43005 |
| MRSA | 0.468677 |
| infections | 0.425289 |
| vancomycin | 0.437302 |
| hospital | 0.763915 |
| hospital doctor | 0.703688 |
| white hospital bed | 0.648076 |
| test results | 0.525993 |
| drugs | 0.456295 |
|
| Rx | 0.462193 |
| clinically relevant cultures | 0.677769 |
| length | 0.458718 |
| alternate | 0.424879 |
| Text | 0.686389 |
| UTI guideline | 0.552803 |
| new doctor | 0.531579 |
| prescription bottle | 0.530632 |
| symptoms | 0.426647 |
| Reassess | 0.427481 |
| dose | 0.509485 |
| urine cultures | 0.681133 |
| different hospital doctor | 0.642036 |
| blue hospital gown | 0.659306 |
| non-infectious diagnosis | 0.550501 |
| time | 0.544151 |
| patient exam | 0.518007 |
| indication | 0.511812 |
| nurses information | 0.525684 |
| patient record | 0.66867 |
| antibiotics | 0.623213 |
| urinary tract infection | 0.64514 |
| account | 0.455648 |
|
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| 13093 |
Centers for Disease Control and Prevention |
Html |
en |
Progress in Identifying Infants with Hearing Loss - UnitedStates, 2006-2012 |
Tonya R. Williams, PhD1, Suhana Alam, MPH1, Marcus Gaffney, MPH1 (Author affiliations at end of text). |
| EI services | 0.61396 |
| data | 0.55699 |
| Northern Mariana Islands | 0.383195 |
| number | 0.384487 |
| EI programs | 0.404978 |
| final hearing screening | 0.46268 |
| aggregate jurisdiction-reported totals | 0.392989 |
| health care providers | 0.389109 |
| data definitions | 0.39999 |
| jurisdictions | 0.51873 |
| freely associated state | 0.397245 |
| infants | 0.733661 |
| HSFS data definitions | 0.399806 |
| follow-up testing | 0.392372 |
| EI | 0.62013 |
| diagnostic testing | 0.488407 |
| hearing screening | 0.582027 |
| documentation | 0.386628 |
| Congenital hearing loss | 0.47894 |
| National Vital Statistics | 0.392938 |
| EHDI services | 0.445216 |
| average percentage | 0.436799 |
| newborn hearing screening | 0.44543 |
| HSFS | 0.448817 |
| EHDI program coordinator | 0.408082 |
|
| hearing loss | 0.985132 |
| total infants | 0.446509 |
| follow-up services | 0.546312 |
| public health issue | 0.405707 |
| jurisdictional EHDI program | 0.490138 |
| EHDI surveillance data | 0.430762 |
| Vital Records program | 0.391773 |
| EHDI information systems | 0.400656 |
| follow-up diagnostic testing | 0.42969 |
| public health infrastructures | 0.382797 |
| EHDI Hearing Screening | 0.478936 |
| Tonya R. Williams | 0.495133 |
| diagnostic test results | 0.407926 |
| LFU/LTD | 0.393941 |
| territorial EHDI programs | 0.400878 |
| permanent hearing loss | 0.840674 |
| rates | 0.389672 |
| electronic health records | 0.38355 |
| progress jurisdictions | 0.381537 |
| progress | 0.418724 |
| EI enrollment | 0.426591 |
| HSFS data | 0.405468 |
| different screening protocols | 0.395704 |
| EHDI programs | 0.531865 |
|
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| 14234 |
Centers for Disease Control and Prevention |
Html |
en |
Top 10 Zika Response Planning Tips |
Information on Zika virus. Provided by the U.S. Centers for Disease Control and Prevention. |
| mosquito-borne Zika virus | 0.444164 |
| Zika infection | 0.377854 |
| vector control programs | 0.363158 |
| priority areas/at-risk populations | 0.351966 |
| territorial health departments | 0.35696 |
| Health Alert Network | 0.392149 |
| pregnant women | 0.516946 |
| vector control services | 0.361624 |
| Zika transmission | 0.362246 |
| health care providers | 0.356902 |
| local blood centers | 0.388488 |
| Zika virus disease | 0.44482 |
| nationally notifiable condition | 0.350084 |
| Aedes albopictus | 0.414691 |
| related birth defects | 0.35493 |
| vector control coverage | 0.362301 |
| Zika virus transmission | 0.479466 |
| local vector surveillance | 0.369702 |
| American Health Organization | 0.362192 |
| Educate communities | 0.353445 |
| Aedes aegypti | 0.378929 |
| monitor pregnant women | 0.363372 |
| primary mosquito prevention | 0.354337 |
| territorial public health | 0.364767 |
| event local mosquitoes | 0.363574 |
|
| healthcare providers | 0.397344 |
| Zika outbreaks | 0.358577 |
| Aedes species mosquitoes | 0.375584 |
| United States | 0.355937 |
| Notifiable Disease Surveillance | 0.354151 |
| Zika virus infection | 0.705603 |
| Zika virus cases | 0.470668 |
| continental United States | 0.355858 |
| potential Zika virus | 0.430858 |
| transmitted Zika virus | 0.42101 |
| zika virus | 0.900397 |
| state health department | 0.358045 |
| congenital Zika virus | 0.414428 |
| confirmed Zika virus | 0.419725 |
| Zika virus infections | 0.417824 |
| birth defects | 0.38477 |
| Aedes albopictus mosquitoes | 0.387377 |
| vector control | 0.385403 |
| vector control/surveillance partners | 0.359906 |
| laboratory testing capabilities | 0.354655 |
| Blood Safety Guidance | 0.349743 |
| information regarding risks | 0.352109 |
| suspect Zika cases | 0.378938 |
| locally transmitted Zika | 0.366567 |
|
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| 16079 |
Centers for Disease Control and Prevention |
Html |
en |
Health, Secondhand Smoke Exposure, and Smoking BehaviorImpacts of No-Smoking Policies in Public Housing, Colorado,2014-2015 |
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. |
| smoke-free MUH policy | 0.590745 |
| smoking rates | 0.584208 |
| smoke-free policy | 0.598579 |
| grandfather period | 0.581296 |
| number | 0.583048 |
| no-smoking policies | 0.746478 |
| resident exposure | 0.615444 |
| secondhand smoke | 0.964229 |
| public housing | 0.846428 |
| residential units | 0.579881 |
| smoke-free housing policies | 0.640588 |
| indoor secondhand smoke | 0.632828 |
| decrease daily smoking | 0.615239 |
| Secondhand smoke migrates | 0.654431 |
| secondhand smoke indoors | 0.696588 |
| respondents | 0.605683 |
| smoke-free policy implementation | 0.584878 |
| health problems | 0.631748 |
| smoke-free home rules | 0.574336 |
| public housing residents | 0.593338 |
| smoking cessation | 0.658046 |
| M. Secondhand smoke | 0.630015 |
| Nicotine Tob Res | 0.591033 |
| smoking cessation help | 0.609737 |
|
| residents | 0.597303 |
| T2 surveys | 0.618333 |
| breathing problems | 0.609526 |
| obstructive pulmonary disease | 0.603286 |
| public housing authority | 0.673279 |
| national adult smoking | 0.606671 |
| smokers | 0.648212 |
| policy implementation | 0.655643 |
| low-income public housing | 0.626366 |
| smoke-free policies | 0.579998 |
| smoking behaviours | 0.57436 |
| multiunit housing | 0.65277 |
| Smoke-free multiunit housing | 0.584973 |
| T1 | 0.581316 |
| cigarette consumption | 0.579322 |
| no-smoking policy | 0.79893 |
| public health | 0.641737 |
| smoking habits | 0.581498 |
| smoke exposure outdoors | 0.644321 |
| smoking behaviors | 0.580272 |
| secondhand smoke exposure | 0.715297 |
| households | 0.597329 |
| secondhand smoke–associated health | 0.603538 |
| colorado public housing | 0.632502 |
|
CLICK HERE |