Infectious diseases: A case study of leprosy-related stigma.

2013 ◽  
pp. 139-164
Author(s):  
Wim H. van Brakel ◽  
Beatriz Miranda Galarza
Keyword(s):  
Infectious Diseases ◽  
Related Stigma

scholarly journals Spread of Epidemic Disease on Edge-Weighted Graphs from a Database: A Case Study of COVID-19

2021 ◽  
Vol 18 (9) ◽  
pp. 4432
Author(s):  
Ronald Manríquez ◽  
Camilo Guerrero-Nancuante ◽  
Felipe Martínez ◽  
Carla Taramasco
Keyword(s):  
Public Health ◽  
Infectious Diseases ◽  
Preventive Measures ◽  
Weighted Graph ◽  
Real Data ◽  
Sir Model ◽  
Weighted Graphs ◽  
Epidemic Disease ◽  
The Real

The understanding of infectious diseases is a priority in the field of public health. This has generated the inclusion of several disciplines and tools that allow for analyzing the dissemination of infectious diseases. The aim of this manuscript is to model the spreading of a disease in a population that is registered in a database. From this database, we obtain an edge-weighted graph. The spreading was modeled with the classic SIR model. The model proposed with edge-weighted graph allows for identifying the most important variables in the dissemination of epidemics. Moreover, a deterministic approximation is provided. With database COVID-19 from a city in Chile, we analyzed our model with relationship variables between people. We obtained a graph with 3866 vertices and 6,841,470 edges. We fitted the curve of the real data and we have done some simulations on the obtained graph. Our model is adjusted to the spread of the disease. The model proposed with edge-weighted graph allows for identifying the most important variables in the dissemination of epidemics, in this case with real data of COVID-19. This valuable information allows us to also include/understand the networks of dissemination of epidemics diseases as well as the implementation of preventive measures of public health. These findings are important in COVID-19’s pandemic context.

scholarly journals Reducing bias in risk indices for COVID-19

2022 ◽  
Vol 17 (s1) ◽  
Author(s):  
Michał Paweł Michalak ◽  
Jack Cordes ◽  
Agnieszka Kulawik ◽  
Sławomir Sitek ◽  
Sławomir Pytel ◽  
...  
Keyword(s):  
Infectious Diseases ◽  
Spatial Heterogeneity ◽  
Disease Burden ◽  
Risk Indices ◽  
Study Evaluation ◽  
Dynamical Properties ◽  
Time Periods ◽  
Regional Disease ◽  
Over Time

Spatiotemporal modelling of infectious diseases such as coronavirus disease 2019 (COVID-19) involves using a variety of epidemiological metrics such as regional proportion of cases and/or regional positivity rates. Although observing changes of these indices over time is critical to estimate the regional disease burden, the dynamical properties of these measures, as well as crossrelationships, are usually not systematically given or explained. Here we provide a spatiotemporal framework composed of six commonly used and newly constructed epidemiological metrics and conduct a case study evaluation. We introduce a refined risk estimate that is biased neither by variation in population size nor by the spatial heterogeneity of testing. In particular, the proposed methodology would be useful for unbiased identification of time periods with elevated COVID-19 risk without sensitivity to spatial heterogeneity of neither population nor testing coverage.We offer a case study in Poland that shows improvement over the bias of currently used methods. Our results also provide insights regarding regional prioritisation of testing and the consequences of potential synchronisation of epidemics between regions. The approach should apply to other infectious diseases and other geographical areas.

scholarly journals GIS-BASED INFECTIOUS DISEASE DATA MANAGEMENT ON A CITY SCALE, CASE STUDY OF ST. PETERSBURG, RUSSIA

2020 ◽  
Vol XLIII-B3-2020 ◽  
pp. 1463-1467
Author(s):  
I. Kuznetsov ◽  
E. Panidi ◽  
A. Kolesnikov ◽  
P. Kikin ◽  
V. Korovka ◽  
...  
Keyword(s):  
Infectious Diseases ◽  
Geographical Information Systems ◽  
Medical Data ◽  
Geographical Information ◽  
Infrastructure Development ◽  
Collection System ◽  
Medical Infrastructure ◽  
Availability Assessment ◽  
The City

Abstract. Medical geography and medical cartography can be denoted as classical application domains for Geographical Information Systems (GISs). GISs can be applied to retrospective analysis (e.g., human population health analysis, medical infrastructure development and availability assessment, etc.), and to operative disaster detection and management (e.g., monitoring of epidemics development and infectious diseases spread). Nevertheless, GISs still not a daily-used instrument of medical administrations, especially on the city and municipality scales. In different regions of the world situation varies, however in general case GIS-based medical data accounting and management is the object of interest for researchers and national administrations operated on global and national scales. Our study is focused onto the investigation and design of the methodology and software prototype for GIS-based support of medical administration and planning on a city scale when accounting and controlling infectious diseases. The study area is the administrative territory of the St. Petersburg (Russia). The study is based upon the medical statistics data and data collection system of the St. Petersburg city. All the medical data used in the study are impersonalized accordingly to the Russian laws.

Enhancing Student Learning on Emerging Infectious Diseases: An Ebola Exemplar

2018 ◽  
Vol 80 (7) ◽  
pp. 493-500
Author(s):  
Derek Dube ◽  
Tracie M. Addy ◽  
Maria R. Teixeira ◽  
Linda M. Iadarola
Keyword(s):  
Infectious Diseases ◽  
Undergraduate Students ◽  
Ebola Virus ◽  
Influenza Pandemic ◽  
Emerging Infectious Diseases ◽  
Health Science ◽  
Science Courses ◽  
Study Approach ◽  
Mode Of Instruction

Throughout global history, various infectious diseases have emerged as particularly relevant within an era. Some examples include the Bubonic plague of the fourteenth century, the Spanish Influenza pandemic of 1918, the HIV epidemic of the 1980s, and the Zika virus outbreak in 2015–16. These instances of emerging infectious disease represent ideal opportunities for timely, relevant instruction in natural and health science courses through case studies. Such instructional approaches can promote student engagement in the material and encourage application and higher-order thinking. We describe here how the case study approach was utilized to teach students about emerging infectious diseases using the 2014–16 Ebola virus outbreak as the subject of instruction. Results suggest that students completing the case study not only had positive perceptions of the mode of instruction, but also realized learning gains and misconception resolution. These outcomes support the efficacy of case pedagogy as a useful teaching tool in emerging infectious diseases, and augment the paucity of literature examining Ebola virus knowledge and misconceptions among undergraduate students within United States institutions.

A descriptive case study of the changing nature of nurses' work: The impact of managing infectious diseases requiring isolation

2017 ◽  
Vol 45 (2) ◽  
pp. 200-202 ◽  
Author(s):  
Alyshah Kaba ◽  
Andrea Baumann ◽  
Camille Kolotylo ◽  
Noori Akhtar-Danesh
Keyword(s):  
Infectious Diseases ◽  
Descriptive Case Study ◽  
The Impact

Pro-innovation restructuring strategy: case study of a multipurpose public organization in health

2016 ◽  
Vol 9 (1) ◽  
pp. 62
Author(s):  
Patrícia Santos Cavalheiro Silva ◽  
Marcos Filgueiras Jorge ◽  
Branca Regina Cantisano dos Santos e Silva Riscado Terra ◽  
Jorge De Abreu Soares ◽  
João Alberto Neves dos Santos ◽  
...  
Keyword(s):  
Infectious Diseases ◽  
Organizational Structure ◽  
Organizational Innovation ◽  
Intangible Assets ◽  
Public Organizations ◽  
Before And After ◽  
Restructuring Strategy ◽  
Na Effect ◽  
And Performance

The aim of this article is to measure the effect on performance, of the innovation in the organizational structure of the laboratories for clinical research associated with healthcare in infectious diseases of the Evandro Chagas National Institute of Infectious Diseases (INI) at Fiocruz in 2007, na effect herein identified as representative of the corporate intangible assets resulting from such restructuring strategy. The method consists, first, in the analysis of the literature about the measurement of intangible assets and organizational innovation, the potential effects of organization�s structure in performance, and the assessment of multipurpose public organizations in health, as sources of the basic notion on relations between intangible assets, organizational structure and performance which is used in this research. Next, the empirical research involves: (a) characterizing the change in organizational structure of 8 INI laboratories; (b) quantifying variables on the use of consumer goods and specialized personnel and on the production of teaching, research and health care; (c) calculating indicators about the development of relative technical efficiency of INI laboratories in the period 2002-2014, through Data Envelopment Analysis (DEA); and (d) using these indicators to compare the performance of these laboratories before and after the organizational innovation associated with the adoption of the Innovative Structure in their restructuring. As a contribution to knowledge, opens up prospects of collaborative research in Administration, Accounting and Economics for the development of a metric for organizational innovation. As management contribution, confirms the association between restructuring of INI laboratories as Innovative Organizations and their improvement in performance. Although the case study method imposes limitations to the generalizability of these results, mainly because there are no sufficient multipurpose organizations that use this methodology in performance assessment, it brings evidence on the potential benefit of the entrepreneurial-oriented innovation for the expansion and improvement of multipurpose public organizations.

scholarly journals Predictability and epidemic pathways in global outbreaks of infectious diseases: the SARS case study

BMC Medicine ◽  
2007 ◽  
Vol 5 (1) ◽  
Author(s):  
Vittoria Colizza ◽  
Alain Barrat ◽  
Marc Barthélemy ◽  
Alessandro Vespignani
Keyword(s):  
Infectious Diseases
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