The general population cohort in rural south-western Uganda: a platform for communicable and non-communicable disease studies.

The General Population Cohort (GPC) was set up in 1989 to examine trends in HIV prevalence and incidence, and their determinants in rural south-western Uganda. Recently, the research questions have included the epidemiology and genetics of communicable and non-communicable diseases (NCDs) to address the limited data on the burden and risk factors for NCDs in sub-Saharan Africa. The cohort comprises all residents (52% aged ≥13years, men and women in equal proportions) within one-half of a rural sub-county, residing in scattered houses, and largely farmers of three major ethnic groups. Data collected through annual surveys include; mapping for spatial analysis and participant location; census for individual socio-demographic and household socioeconomic status assessment; and a medical survey for health, lifestyle and biophysical and blood measurements to ascertain disease outcomes and risk factors for selected participants. This cohort offers a rich platform to investigate the interplay between communicable diseases and NCDs. There is robust infrastructure for data management, sample processing and storage, and diverse expertise in epidemiology, social and basic sciences. For any data access enquiries you may contact the director, MRC/UVRI, Uganda Research Unit on AIDS by email to [email protected] or the corresponding author

Epidemiologi Penyakit Menular Dan Penyakit Tidak Menular

The development of science and technology in the medical field to encourage experts always conducted research on various diseases, including one of them is a contagious disease events in order to overcome suffering and death from the disease. Based on his travels disease can be divided into: Acute and Chronic. Based on the nature of transmission can be divided into: Infectious and Communicable. The process of interaction between the occurrence of the disease is a disease agent, human (Host) and the surrounding environment. For infectious diseases, the occurrence of diseases caused by the interaction between: Agent diseases (microorganisms), humans and the environment, while for non-communicable diseases disease process due to the interaction between the disease agent (non-living agent), humans and the environment. Non-communicable diseases can be acute can also be chronic. In Infectious Diseases Epidemiology is not primarily to be discussed is that chronic diseases.   Keywords: communicable diseases, non-communicable diseases &nbsp

The Epidemiology of Common Communicable Diseases, January 2016

Chart of common communicable disease, stating incubation, transmission, control measures, and public health response produced by Iowa Department of Public Health

From John Snow to omics: the long journey of environmental epidemiology

A major difference between infectious and non-communicable diseases is that infectious diseases typically have unique necessary causes whereas noncommunicable diseases have multiple causes which by themselves are usually neither necessary nor sufficient. Epidemiology seems to have reached a limit in disentangling the role of single components in causal complexes, particularly at low doses. To overcome limitations the discipline can take advantage of technical developments including the science of the exposome. By referring to the interpretation of the exposome as put forward in the work of Wild and Rappaport, I show examples of how the science of multi-causality can build upon the developments of omic technologies. Finally, I broaden the picture by advocating a more holistic approach to causality that also encompasses social sciences and the concept of embodiment. To tackle NCDs effectively on one side we can invest in various omic approaches, to identify new external causes of non-communicable diseases (that we can use to develop preventive strategies), and the corresponding mechanistic pathways. On the other side, we need to focus on the social and societal determinants which are suggested to be the root causes of many non-communicable diseases

An economic approach to collective management of endemic animal diseases

The control of animal diseases is an issue of particular interest in animal production chains. Because of their direct impact on production, animal diseases generate income shortfalls for farmers. In some cases, diseases may also have lead to human health problems and undermine market access conditions. Because of these potential negative impacts, some diseases are regulated. But for many communicable diseases, much latitude is given to individual control of the disease by farmers. In the case of a communicable disease, individual management therefore generates an externality, as individual decisions have an impact on the level of risk exposure of other farms to the disease. Thus, the collective result of individual management may differ from the collective expectations. This gap can be reduced by collective actions. The aim of this paper is to provide a conceptual framework for the study of collective management of animal diseases, which will provide management tools to collective managers of animal health. The development of this conceptual framework rests on three steps. We first discuss the means to model the individual decisions of farmer in regard to animal diseases. Then it should take into account the interaction between the epidemiology of the disease and the individual decisions of farmers, by the coupling of epidemiologic and economic models. Finally, collective management tools are introduced in these models in order to test incentives schemes for horizontal coordination. Finally, collective actions are introduced in these models, in order to test devices for horizontal coordination (management of prevalence between farms).Animal health economics - Micro modelling – Bio-economic modelling - endemic animal diseases, Animal health economics, Micro modelling, Bio-economic modelling, endemic animal diseases, Livestock Production/Industries,

Market Structure and Communicable Diseases

Communicable diseases pose a formidable challenge for public policy. Using numerical simulations, we show under which scenarios a monopolist’s price and prevalence paths converge to a nonzero steady-state. In contrast, a planner typically eradicates the disease. If eradication is impossible, the planner subsidizes treatments as long as the prevalence can be controlled. Drug resistance exacerbates the welfare difference between monopoly and first best outcomes. Nevertheless, because the negative externalities from resistance compete with the positive externalities of treatment, a mixed competition/monopoly regime may perform better than competition alone. This result has important implications for the design of many drug patents.communicable disease, resistance, epidemiology, patent

Diabetes in Sub Saharan Africa 1999-2011: Epidemiology and Public Health Implications. A Systematic Review.

Diabetes prevalence is increasing globally, and Sub-Saharan Africa is no exception. With diverse health challenges, health authorities in Sub-Saharan Africa and international donors need robust data on the epidemiology and impact of diabetes in order to plan and prioritise their health programmes. This paper aims to provide a comprehensive and up-to-date review of the epidemiological trends and public health implications of diabetes in Sub-Saharan Africa. We conducted a systematic literature review of papers published on diabetes in Sub-Saharan Africa 1999-March 2011, providing data on diabetes prevalence, outcomes (chronic complications, infections, and mortality), access to diagnosis and care and economic impact. Type 2 diabetes accounts for well over 90% of diabetes in Sub-Saharan Africa, and population prevalence proportions ranged from 1% in rural Uganda to 12% in urban Kenya. Reported type 1 diabetes prevalence was low and ranged from 4 per 100,000 in Mozambique to 12 per 100,000 in Zambia. Gestational diabetes prevalence varied from 0% in Tanzania to 9% in Ethiopia. Proportions of patients with diabetic complications ranged from 7-63% for retinopathy, 27-66% for neuropathy, and 10-83% for microalbuminuria. Diabetes is likely to increase the risk of several important infections in the region, including tuberculosis, pneumonia and sepsis. Meanwhile, antiviral treatment for HIV increases the risk of obesity and insulin resistance. Five-year mortality proportions of patients with diabetes varied from 4-57%. Screening studies identified high proportions (> 40%) with previously undiagnosed diabetes, and low levels of adequate glucose control among previously diagnosed diabetics. Barriers to accessing diagnosis and treatment included a lack of diagnostic tools and glucose monitoring equipment and high cost of diabetes treatment. The total annual cost of diabetes in the region was estimated at US$67.03 billion, or US$8836 per diabetic patient. Diabetes exerts a significant burden in the region, and this is expected to increase. Many diabetic patients face significant challenges accessing diagnosis and treatment, which contributes to the high mortality and prevalence of complications observed. The significant interactions between diabetes and important infectious diseases highlight the need and opportunity for health planners to develop integrated responses to communicable and non-communicable diseases