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Centers for Disease Control and Prevention |
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CDC - Chagas Disease - Treatment |
Education and information about Chagas Disease treatment. |
| United States Blood | 0.649 |
| health care provider | 0.6642 |
| Vector-borne Transmission | 0.551892 |
| navigation Skip | 0.489795 |
| United States Trypanosoma | 0.685807 |
| Evidence | 0.343037 |
| cruzi Infection Study | 0.747181 |
| CDC staff | 0.405102 |
| list Skip | 0.491084 |
| congenital infection | 0.475879 |
| page options Skip | 0.588785 |
| patients | 0.358895 |
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| infectious disease specialist | 0.486323 |
| Parasite | 0.353864 |
| primary health care | 0.486495 |
| Trypanosoma cruzi Infection | 0.780486 |
| suppressed immune systems | 0.510953 |
| States Blood Donors | 0.675207 |
| Congenital Transmission | 0.541902 |
| chagas disease | 0.903069 |
| chronic infection | 0.452674 |
| acute phase | 0.41201 |
| treatment options | 0.394073 |
| gastroenterologist | 0.331872 |
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Centers for Disease Control and Prevention |
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Other Tick-borne Spotted Fever Rickettsial Infections |
Other Spotted Fevers, Rickettsial Infections |
| RMSF). | 0.598466 |
| fever group rickettsiosis | 0.821774 |
| United States | 0.615857 |
| mite bite | 0.405296 |
| infected mites | 0.427708 |
| dark scab | 0.386821 |
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| Rocky Mountain | 0.383409 |
| fever infections | 0.589536 |
| fevers | 0.466978 |
| closely related bacteria | 0.714149 |
| people | 0.203272 |
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Centers for Disease Control and Prevention |
Html |
en |
Highlights: Emerging Infectious Diseases, Vol. 17, No. 9, (September 2011) |
EID News Synopsis: September 2011 |
| Health Surveillance Center | 0.460879 |
| Lyme disease | 0.942869 |
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| respiratory disease | 0.420108 |
| immune systems | 0.567688 |
| Ms. Judith L. | 0.455859 |
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| Meagan K. Kay | 0.474871 |
| University Medical Center | 0.460337 |
| U.S. military instructs | 0.481153 |
| fewer ticks | 0.490278 |
| malarious home lands | 0.459582 |
| blood testing | 0.405158 |
| Dr. Dania Richter | 0.471386 |
| Institut für Pathologie | 0.471157 |
| high risk | 0.408176 |
| Infectious Diseases | 0.58815 |
| Charité Universitätsmedizin Berlin | 0.470863 |
| CDC Media Relations | 0.523361 |
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| Lyme disease risk | 0.796251 |
| newly reported infections | 0.499101 |
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| invasive disease | 0.412564 |
| malaria risk | 0.453047 |
| tattoo infection | 0.415149 |
| prevention efforts | 0.480632 |
| Matthew P. Rubach | 0.607982 |
| Haemophilus influenzae | 0.498182 |
| public health journal | 0.510016 |
| Mycobacterium haemophilum | 0.478346 |
| military members | 0.66493 |
| independent measures | 0.405927 |
| current military members | 0.47993 |
| malaria protection | 0.433848 |
| Lyme disease bacteria | 0.571422 |
| fungal disease | 0.438453 |
| Dr. Paul Mead | 0.477882 |
| protective measures | 0.467648 |
| U.S. military members | 0.616053 |
| Lyme disease emergence | 0.581066 |
| p.m. EDT | 0.415422 |
| fungal infections | 0.541342 |
| Contact | 0.419471 |
| West Africa | 0.521406 |
| Haemophilus influenzae infection | 0.494406 |
| John W. Baddley | 0.471357 |
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Centers for Disease Control and Prevention |
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Advisory Committee on Immunization Practices (ACIP) Recommended Immunization Schedules for Persons Aged 0 Through 18 years and Adults Aged 19 Years and Older - United States, 2013 |
Each year, recommendations for routine use of vaccines in children, adolescents, and adults in the United States are developed by the Advisory Committee on Immunization Practices (ACIP). This year, for the first time, recommended immunization schedules for persons aged 0 through 18 years and adults aged 19 years and older are being published together. |
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Centers for Disease Control and Prevention |
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en |
Adults with Disabilities infographic | Vital Signs |
CDC Vital Signs - Aerobic physical activity can help all adults, including
those with disabilities. |
| everybody | 0.327928 |
| Pie Chart | 0.586431 |
| disability | 0.438362 |
| adults | 0.465145 |
| stairs | 0.329039 |
| Mobility | 0.328075 |
| laps | 0.330826 |
| Review | 0.326312 |
| Hand-crank bicycle | 0.429542 |
| percent | 0.742302 |
| life | 0.325301 |
| glasses | 0.326775 |
| moderate-intensity physical activity | 0.513923 |
| terms | 0.324225 |
| shapes | 0.324794 |
| Activity Guidelines | 0.420455 |
| disability types | 0.411101 |
| decisions | 0.326372 |
| Water aerobics | 0.423884 |
| Refer patient | 0.412996 |
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| method | 0.325116 |
| chronic diseases | 0.854886 |
| Percentage | 0.370518 |
| resources | 0.324146 |
| football | 0.324509 |
| tennis | 0.324526 |
| physical activity | 0.971668 |
| aerobic physical activity | 0.730487 |
| difficulty | 0.433079 |
| activity level | 0.405878 |
| softball | 0.324482 |
| disabilities | 0.388972 |
| Brisk walking | 0.426476 |
| chronic disease | 0.598098 |
| Vision | 0.326584 |
| handicapped person | 0.417002 |
| ages | 0.329741 |
| disability type | 0.422335 |
| visit | 0.354694 |
| Wheelchair basketball | 0.420593 |
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Centers for Disease Control and Prevention |
Video |
en |
CDC Disease Detectives: LT. Kelsey Mirkovic |
LT. Kelsey Mirkovic, a CDC disease detective, was deployed to Guéckédou, Guinea in response to the 2014 Ebola outbreak. She shares her experience visiting area villages, making contact with people, and how much she received. |
| CDC Disease Detectives | 0.966152 |
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| LT. Kelsey Mirkovic | 0.808153 |
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Centers for Disease Control and Prevention |
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Estimating the Future Number of Cases in the Ebola Epidemic - Liberia and Sierra Leone, 2014-2015 |
Martin I. Meltzer, PhD1. |
| cases | 0.906788 |
| Table | 0.213803 |
| epidemic | 0.21195 |
| patients | 0.543264 |
| Sierra Leone | 0.724099 |
| community | 0.216619 |
| ebolaresponse modeling tool | 0.605631 |
| Ebola cases | 0.268062 |
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| Figure | 0.274322 |
| home | 0.20753 |
| number | 0.306265 |
| Liberia | 0.263632 |
| onward transmission | 0.229703 |
| daily cases | 0.229831 |
| risk | 0.347642 |
| safe burial | 0.35173 |
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Centers for Disease Control and Prevention |
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Division of Nutrition, Physical Activity, Overweight and Obesity (DNPAO) |
Division of Nutrition, Physical Activity, and Obesity: Defining the Problem, Preventing Chronic Diseases, and Improving the Public’s Health
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| list Skip | 0.808128 |
| regular physical activity | 0.615709 |
| good nutrition | 0.383411 |
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| page options Skip | 0.980187 |
| childhood obesity | 0.501657 |
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Centers for Disease Control and Prevention |
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A Qualitative Study of Vape Shop Operators' Perceptions ofRisks and Benefits of E-Cigarette Use and Attitude Toward TheirPotential Regulation by the US Food and Drug Administration,Florida, Georgia, South Carolina, or North Carolina, 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. |
| ENDS retailers | 0.312682 |
| rural-urban continuum information | 0.267846 |
| vape operators | 0.263435 |
| federal regulations | 0.278662 |
| vape owners | 0.26968 |
| ENDS information | 0.337047 |
| ENDS regulations | 0.35632 |
| vape store operators | 0.278647 |
| long-term health effects | 0.282846 |
| southeastern United States | 0.280521 |
| vape shop operators | 0.751714 |
| tobacco products | 0.319107 |
| information sources | 0.272181 |
| ENDS products | 0.333377 |
| sociodemographic characteristics | 0.263332 |
| vape shops | 0.397569 |
| health benefits | 0.28485 |
| ENDS regulation | 0.323565 |
| benefits | 0.306181 |
| FDA | 0.308243 |
| study | 0.283352 |
| information operators | 0.266679 |
| United States | 0.300018 |
| vape shop owners | 0.851332 |
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| FDA regulations | 0.268938 |
| owners perceived ENDS | 0.391893 |
| relevant product-related information | 0.265495 |
| future FDA regulation | 0.263836 |
| cigarette smoking | 0.289518 |
| official information sites | 0.263751 |
| vape shop operations | 0.299512 |
| ENDS sales | 0.319632 |
| vape stores | 0.299342 |
| age restrictions | 0.270293 |
| ENDS devices | 0.324669 |
| ENDS | 0.524967 |
| customers | 0.295441 |
| Georgia State University | 0.341493 |
| vape shop | 0.973958 |
| product information | 0.288288 |
| federal poverty guidelines | 0.283449 |
| health | 0.297662 |
| risks | 0.265091 |
| front-line information sources | 0.263513 |
| current scientific information | 0.263536 |
| information | 0.448874 |
| health risks | 0.263949 |
| information needs | 0.264992 |
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Centers for Disease Control and Prevention |
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2014-2015 Flu Season Drawing to a Close |
2014-2015 Flu Season Drawing to a Close - CDC |
| U.S. influenza vaccine | 0.652779 |
| influenza antiviral agents | 0.686327 |
| 2014-2015 influenza season | 0.642743 |
| flu activity | 0.571223 |
| influenza antiviral medications | 0.624022 |
| States influenza season | 0.650488 |
| season | 0.861964 |
| influenza B flu | 0.649719 |
| 2014-15 flu vaccine | 0.581959 |
| influenza activity | 0.646266 |
| FDA-approved influenza | 0.574117 |
| H3N2 viruses | 0.513606 |
| overall hospitalization rate | 0.531321 |
| age groups | 0.517956 |
| H3N2 dominant season | 0.544699 |
| vaccine effectiveness | 0.531545 |
| ILI activity | 0.526291 |
| relatively long duration | 0.518511 |
| flu-associated pediatric deaths | 0.545695 |
| influenza diagnoses | 0.590139 |
| second-highest hospitalization rate | 0.533986 |
| influenza-associated pediatric mortality | 0.512071 |
| influenza | 0.94492 |
| hospitalization rate | 0.622409 |
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| United States | 0.633227 |
| age group | 0.650264 |
| Weekly U.S. Influenza | 0.621302 |
| flu-related deaths | 0.546522 |
| season influenza | 0.624799 |
| uncomplicated influenza infection | 0.615229 |
| highest hospitalization rates | 0.535264 |
| Hemisphere flu season | 0.574028 |
| total number | 0.509752 |
| influenza B activity | 0.599357 |
| seasonal influenza vaccine | 0.650101 |
| extremely high hospitalization | 0.534327 |
| intravenous antiviral drug | 0.504209 |
| influenza season | 0.659715 |
| influenza vaccines | 0.578889 |
| monitors flu-related deaths | 0.538848 |
| flu viruses | 0.570527 |
| flu vaccine viruses | 0.627587 |
| influenza-associated pediatric deaths | 0.541939 |
| highest recorded hospitalization | 0.531331 |
| influenza viruses | 0.671333 |
| pediatric deaths | 0.81056 |
| hospitalization rates | 0.581809 |
| flu season | 0.675801 |
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