Last data update: Oct 07, 2024. (Total: 47845 publications since 2009)
Records 1-7 (of 7 Records) |
Query Trace: Dicker R[original query] |
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A collaboration to harmonize COVID-19 health messaging and fill communication gaps during initial U.S. refugee resettlement
Keaveney M , Le C , Steger K , Sood NJ , Bligh L , Kim C , Dicker S , Klosovsky A , Herrera H , Jentes E . Health Lit Commun Open 2024 2 (1) 2311402 To communicate with U.S.-bound refugees during travel to the United States during the onset of the COVID-19 pandemic, five federal and international organizations collaborated in a strategic work group to synergize COVID-19 prevention health messaging and COVID-19 considerations before, during, and after travel, as well as promote shared resources. This work group sought to establish consistent COVID-19 messaging, disseminate messages to partners, and identify message gaps as the pandemic evolved. In early Fall 2020, CDC released new communication materials, including a fact sheet, a welcome booklet, and infographics translated into 19 languages, to address refugee health partners' need for culturally and linguistically concordant educational materials for refugees. Rapidly changing health communications needs during the pandemic fostered opportunities for collaboration among federal and refugee health partners and highlighted a long-standing need among agencies to address health messaging across the continuum of care for refugees. |
Building global epidemiology and response capacity with field epidemiology training programs
Jones DS , Dicker RC , Fontaine RE , Boore AL , Omolo JO , Ashgar RJ , Baggett HC . Emerg Infect Dis 2017 23 (13) S158-65 More than ever, competent field epidemiologists are needed worldwide. As known, new, and resurgent communicable diseases increase their global impact, the International Health Regulations and the Global Health Security Agenda call for sufficient field epidemiologic capacity in every country to rapidly detect, respond to, and contain public health emergencies, thereby ensuring global health security. To build this capacity, for >35 years the US Centers for Disease Control and Prevention has worked with countries around the globe to develop Field Epidemiology Training Programs (FETPs). FETP trainees conduct surveillance activities and outbreak investigations in service to ministry of health programs to prevent and control infectious diseases of global health importance such as polio, cholera, tuberculosis, HIV/AIDS, malaria, and emerging zoonotic infectious diseases. FETP graduates often rise to positions of leadership to direct such programs. By training competent epidemiologists to manage public health events locally and support public health systems nationally, health security is enhanced globally. |
Case studies in applied epidemiology
Dicker RC . Pan Afr Med J 2017 27 1 A hallmark of field epidemiology training is its focus on acquisition of practical epidemiologic knowledge and skills to address priority public health issues. The training must prepare the trainee to conduct the core functions of a field epidemiologist – investigate outbreaks, conduct public health surveillance, collect and analyze data, use epidemiologic judgment, and communicate effectively. While these functions or competencies are best learned through practice in the field under the guidance of experienced mentors, even the classroom component that usually precedes the fieldwork can help prepare the trainee. For example, to supplement a lecture on the steps of an outbreak investigation, the unfolding circumstances of an actual outbreak can be presented in the classroom, and trainees could be asked what decisions they would make, what hypotheses they would consider, what statistics they might calculate (and given the data, calculate them), what conclusions they might draw from the data, and so on. | The first outbreak known to be used in this way to teach epidemiologic field investigation principles and methods is the now legendary outbreak of gastroenteritis following a church supper in Oswego, New York in 1940. The Oswego Problem was used as a teaching example at the nearby Albany Medical College in 1942. Alexander Langmuir brought Oswego to the Communicable Disease Center (CDC, now the Centers for Disease Control and Prevention), where he used it to teach outbreak investigation to the first cohort of Epidemic Intelligence Service (EIS) Officers in 1951 [1], Oswego was soon followed by Epidemic Disease in South Carolina and many others. |
Global, regional, and national cancer incidence, mortality, years of life lost, years lived with disability, and disability-adjusted life-years for 32 cancer groups, 1990 to 2015: a systematic analysis for the Global Burden of Disease Study
Fitzmaurice C , Allen C , Barber RM , Barregard L , Bhutta ZA , Brenner H , Dicker DJ , Chimed-Orchir O , Dandona R , Dandona L , Fleming T , Forouzanfar MH , Hancock J , Hay RJ , Hunter-Merrill R , Huynh C , Hosgood HD , Johnson CO , Jonas JB , Khubchandani J , Kumar GA , Kutz M , Lan Q , Larson HJ , Liang X , Lim SS , Lopez AD , MacIntyre MF , Marczak L , Marquez N , Mokdad AH , Pinho C , Pourmalek F , Salomon JA , Sanabria JR , Sandar L , Sartorius B , Schwartz SM , Shackelford KA , Shibuya K , Stanaway J , Steiner C , Sun J , Takahashi K , Vollset SE , Vos T , Wagner JA , Wang H , Westerman R , Zeeb H , Zoeckler L , Abd-Allah F , Ahmed MB , Alabed S , Alam NK , Aldhahri SF , Alem G , Alemayohu MA , Ali R , Al-Raddadi R , Amare A , Amoako Y , Artaman A , Asayesh H , Atnafu N , Awasthi A , Saleem HB , Barac A , Bedi N , Bensenor I , Berhane A , Bernabe E , Betsu B , Binagwaho A , Boneya D , Campos-Nonato I , Castaneda-Orjuela C , Catala-Lopez F , Chiang P , Chibueze C , Chitheer A , Choi JY , Cowie B , Damtew S , das Neves J , Dey S , Dharmaratne S , Dhillon P , Ding E , Driscoll T , Ekwueme D , Endries AY , Farvid M , Farzadfar F , Fernandes J , Fischer F , GHiwot TT , Gebru A , Gopalani S , Hailu A , Horino M , Horita N , Husseini A , Huybrechts I , Inoue M , Islami F , Jakovljevic M , James S , Javanbakht M , Jee SH , Kasaeian A , Kedir MS , Khader YS , Khang YH , Kim D , Leigh J , Linn S , Lunevicius R , El Razek HM , Malekzadeh R , Malta DC , Marcenes W , Markos D , Melaku YA , Meles KG , Mendoza W , Mengiste DT , Meretoja TJ , Miller TR , Mohammad KA , Mohammadi A , Mohammed S , Moradi-Lakeh M , Nagel G , Nand D , Le Nguyen Q , Nolte S , Ogbo FA , Oladimeji KE , Oren E , Pa M , Park EK , Pereira DM , Plass D , Qorbani M , Radfar A , Rafay A , Rahman M , Rana SM , Soreide K , Satpathy M , Sawhney M , Sepanlou SG , Shaikh MA , She J , Shiue I , Shore HR , Shrime MG , So S , Soneji S , Stathopoulou V , Stroumpoulis K , Sufiyan MB , Sykes BL , Tabares-Seisdedos R , Tadese F , Tedla BA , Tessema GA , Thakur JS , Tran BX , Ukwaja KN , Uzochukwu BS , Vlassov VV , Weiderpass E , Wubshet Terefe M , Yebyo HG , Yimam HH , Yonemoto N , Younis MZ , Yu C , Zaidi Z , Zaki ME , Zenebe ZM , Murray CJ , Naghavi M . JAMA Oncol 2016 3 (4) 524-548 Importance: Cancer is the second leading cause of death worldwide. Current estimates on the burden of cancer are needed for cancer control planning. Objective: To estimate mortality, incidence, years lived with disability (YLDs), years of life lost (YLLs), and disability-adjusted life-years (DALYs) for 32 cancers in 195 countries and territories from 1990 to 2015. Evidence Review: Cancer mortality was estimated using vital registration system data, cancer registry incidence data (transformed to mortality estimates using separately estimated mortality to incidence [MI] ratios), and verbal autopsy data. Cancer incidence was calculated by dividing mortality estimates through the modeled MI ratios. To calculate cancer prevalence, MI ratios were used to model survival. To calculate YLDs, prevalence estimates were multiplied by disability weights. The YLLs were estimated by multiplying age-specific cancer deaths by the reference life expectancy. DALYs were estimated as the sum of YLDs and YLLs. A sociodemographic index (SDI) was created for each location based on income per capita, educational attainment, and fertility. Countries were categorized by SDI quintiles to summarize results. Findings: In 2015, there were 17.5 million cancer cases worldwide and 8.7 million deaths. Between 2005 and 2015, cancer cases increased by 33%, with population aging contributing 16%, population growth 13%, and changes in age-specific rates contributing 4%. For men, the most common cancer globally was prostate cancer (1.6 million cases). Tracheal, bronchus, and lung cancer was the leading cause of cancer deaths and DALYs in men (1.2 million deaths and 25.9 million DALYs). For women, the most common cancer was breast cancer (2.4 million cases). Breast cancer was also the leading cause of cancer deaths and DALYs for women (523000 deaths and 15.1 million DALYs). Overall, cancer caused 208.3 million DALYs worldwide in 2015 for both sexes combined. Between 2005 and 2015, age-standardized incidence rates for all cancers combined increased in 174 of 195 countries or territories. Age-standardized death rates (ASDRs) for all cancers combined decreased within that timeframe in 140 of 195 countries or territories. Countries with an increase in the ASDR due to all cancers were largely located on the African continent. Of all cancers, deaths between 2005 and 2015 decreased significantly for Hodgkin lymphoma (-6.1% [95% uncertainty interval (UI), -10.6% to -1.3%]). The number of deaths also decreased for esophageal cancer, stomach cancer, and chronic myeloid leukemia, although these results were not statistically significant. Conclusion and Relevance: As part of the epidemiological transition, cancer incidence is expected to increase in the future, further straining limited health care resources. Appropriate allocation of resources for cancer prevention, early diagnosis, and curative and palliative care requires detailed knowledge of the local burden of cancer. The GBD 2015 study results demonstrate that progress is possible in the war against cancer. However, the major findings also highlight an unmet need for cancer prevention efforts, including tobacco control, vaccination, and the promotion of physical activity and a healthy diet. |
Establishing a field epidemiology elective for medical students in Kenya: a strategy for increasing public health awareness and workforce capacity
Arvelo W , Gura Z , Amwayi S , Wiersma P , Omolo J , Becknell S , Jones D , Ongore D , Dicker R . J Epidemiol Glob Health 2015 5 (1) 33-9 Medical students have limited exposure to field epidemiology, even though will assume public health roles after graduation. We established a 10-week elective in field epidemiology during medical school. Students attended one-week didactic sessions on epidemiology, and nine weeks in field placement sites. We administered pre- and post-tests to evaluate the training. We enrolled 34 students in 2011 and 2012. In 2011, we enrolled five of 24 applicants from a class of 280 medical students. In 2012, we enrolled 18 of 81 applicants from a class of 360 students; plus 11 who participated in the didactic sessions only. Among the 34 students who completed the didactic sessions, 74% were male, and their median age was 24 years (range: 22-26). The median pre-test score was 64% (range: 47-88%) and the median post-test score was 82% (range: 72-100%). Successful completion of the field projects was 100%. Six (30%) students were not aware of public health as a career option before this elective, 56% rated the field experience as outstanding, and 100% reported it increased their understanding of epidemiology. Implementing an elective in field epidemiology within the medical training is a highly acceptable strategy to increase awareness for public health among medical students. |
The state of US health, 1990-2010: burden of diseases, injuries, and risk factors
Murray CJ , Abraham J , Ali MK , Alvarado M , Atkinson C , Baddour LM , Bartels DH , Benjamin EJ , Bhalla K , Birbeck G , Bolliger I , Burstein R , Carnahan E , Chen H , Chou D , Chugh SS , Cohen A , Colson KE , Cooper LT , Couser W , Criqui MH , Dabhadkar KC , Dahodwala N , Danaei G , Dellavalle RP , Des Jarlais DC , Dicker D , Ding EL , Dorsey ER , Duber H , Ebel BE , Engell RE , Ezzati M , Felson DT , Finucane MM , Flaxman S , Flaxman AD , Fleming T , Forouzanfar MH , Freedman G , Freeman MK , Gabriel SE , Gakidou E , Gillum RF , Gonzalez-Medina D , Gosselin R , Grant B , Gutierrez HR , Hagan H , Havmoeller R , Hoffman H , Jacobsen KH , James SL , Jasrasaria R , Jayaraman S , Johns N , Kassebaum N , Khatibzadeh S , Knowlton LM , Lan Q , Leasher JL , Lim S , Lin JK , Lipshultz SE , London S , Lozano R , Lu Y , Macintyre MF , Mallinger L , McDermott MM , Meltzer M , Mensah GA , Michaud C , Miller TR , Mock C , Moffitt TE , Mokdad AA , Mokdad AH , Moran AE , Mozaffarian D , Murphy T , Naghavi M , Narayan KM , Nelson RG , Olives C , Omer SB , Ortblad K , Ostro B , Pelizzari PM , Phillips D , Pope CA , Raju M , Ranganathan D , Razavi H , Ritz B , Rivara FP , Roberts T , Sacco RL , Salomon JA , Sampson U , Sanman E , Sapkota A , Schwebel DC , Shahraz S , Shibuya K , Shivakoti R , Silberberg D , Singh GM , Singh D , Singh JA , Sleet DA , Steenland K , Tavakkoli M , Taylor JA , Thurston GD , Towbin JA , Vavilala MS , Vos T , Wagner GR , Weinstock MA , Weisskopf MG , Wilkinson JD , Wulf S , Zabetian A , Lopez AD . JAMA 2013 310 (6) 591-608 IMPORTANCE: Understanding the major health problems in the United States and how they are changing over time is critical for informing national health policy. OBJECTIVES: To measure the burden of diseases, injuries, and leading risk factors in the United States from 1990 to 2010 and to compare these measurements with those of the 34 countries in the Organisation for Economic Co-operation and Development (OECD) countries. DESIGN: We used the systematic analysis of descriptive epidemiology of 291 diseases and injuries, 1160 sequelae of these diseases and injuries, and 67 risk factors or clusters of risk factors from 1990 to 2010 for 187 countries developed for the Global Burden of Disease 2010 Study to describe the health status of the United States and to compare US health outcomes with those of 34 OECD countries. Years of life lost due to premature mortality (YLLs) were computed by multiplying the number of deaths at each age by a reference life expectancy at that age. Years lived with disability (YLDs) were calculated by multiplying prevalence (based on systematic reviews) by the disability weight (based on population-based surveys) for each sequela; disability in this study refers to any short- or long-term loss of health. Disability-adjusted life-years (DALYs) were estimated as the sum of YLDs and YLLs. Deaths and DALYs related to risk factors were based on systematic reviews and meta-analyses of exposure data and relative risks for risk-outcome pairs. Healthy life expectancy (HALE) was used to summarize overall population health, accounting for both length of life and levels of ill health experienced at different ages. RESULTS: US life expectancy for both sexes combined increased from 75.2 years in 1990 to 78.2 years in 2010; during the same period, HALE increased from 65.8 years to 68.1 years. The diseases and injuries with the largest number of YLLs in 2010 were ischemic heart disease, lung cancer, stroke, chronic obstructive pulmonary disease, and road injury. Age-standardized YLL rates increased for Alzheimer disease, drug use disorders, chronic kidney disease, kidney cancer, and falls. The diseases with the largest number of YLDs in 2010 were low back pain, major depressive disorder, other musculoskeletal disorders, neck pain, and anxiety disorders. As the US population has aged, YLDs have comprised a larger share of DALYs than have YLLs. The leading risk factors related to DALYs were dietary risks, tobacco smoking, high body mass index, high blood pressure, high fasting plasma glucose, physical inactivity, and alcohol use. Among 34 OECD countries between 1990 and 2010, the US rank for the age-standardized death rate changed from 18th to 27th, for the age-standardized YLL rate from 23rd to 28th, for the age-standardized YLD rate from 5th to 6th, for life expectancy at birth from 20th to 27th, and for HALE from 14th to 26th. CONCLUSIONS AND RELEVANCE: From 1990 to 2010, the United States made substantial progress in improving health. Life expectancy at birth and HALE increased, all-cause death rates at all ages decreased, and age-specific rates of years lived with disability remained stable. However, morbidity and chronic disability now account for nearly half of the US health burden, and improvements in population health in the United States have not kept pace with advances in population health in other wealthy nations. |
Morbidity and mortality of Crimean-Congo hemorrhagic fever in Iraq: cases reported to the National Surveillance System, 1990-2010
Majeed B , Dicker R , Nawar A , Badri S , Noah A , Muslem H . Trans R Soc Trop Med Hyg 2012 106 (8) 480-3 Although Crimean-Congo hemorrhagic fever (CCHF) is endemic in the Middle East, its incidence in Iraq has not been well described since the early 1980s. To document trends and patterns of CCHF occurrence, we analyzed CCHF case reports from Iraq's National Surveillance System in 2010 and aggregate reports from previous years. A suspected case was defined as fever, hemorrhagic symptoms and a history of animal contact. Serologic testing was conducted for confirmation. Between 1998 and 2009, the annual number of confirmed cases ranged from zero to six. In 2010, 11 confirmed and 28 suspected cases were reported. The case fatality rate was 36% among confirmed cases, 4% among suspected cases. Most confirmed cases occurred during a three-week period in a single province. While CCHF is uncommon in Iraq, sporadic cases and outbreaks do occur. Surveillance could be strengthened by updating the case definition and case investigation forms. |
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