scholarly journals The First Few Hundred Cases for Coronavirus Disease 2019 (COVID-19) in Colombia

Author(s):  
Julián Felipe PORRAS-VILLAMIL ◽  
Mario Javier OLIVERA ◽  
Nadia Katherine RÍOS-CAMARGO

Background: SARS-CoV-2 virus is the causative agent of COVID-19 disease. It is essential to understand the epidemiological characteristics of the first few cases in each country. This study aimed to describe the geographical distribution, and temporal appearance of the first few hundred cases in Colombia. Methods: This observational study was conducted to review the literature and key documentary information from public health institutions, websites and news reports were examined. Results: The first few 100 cases for COVID-19 were confirmed in Colombia. According to sex, men with 54% predominate, the most affected age group was 20 to 29 yr old (26%), 9% of the cases required hospitalization and no deaths were reported. Most of the confirmed subjects were from the departments of Cundinamarca. To date, most cases are imported (63%), especially from Spain. Conclusion: The COVID-19 pandemic puts in evidence the lack of understanding, prevention and contention power of the different countries around the world is not as good as it could be. Politics must not affect the different proposed measures.

Author(s):  
Noralhuda N. Alabid ◽  
Zainab Dalaf Katheeth

A real threat to the people of the world has appeared as a result of the spread of the Coronavirus disease of 2019 (COVID-19) disease. A lot of scientific and financial support has been made to devote vaccines capable of ending this epidemic. However, these vaccines have become a subject of debate between individuals, as some people tend to support taking vaccines and others rejecting them. This paper aims to create a framework model to classify the sentiment and opinions of individuals that published in Twitter regarding the COVID-19 vaccines. Identify those opinions can help public health institutions to know public opinions and direct their efforts towards promoting taking vaccinations. Two of the machines learning classification models which are the support vector machine (SVM) and naive Bayes (NB) classifier are applied here. Other pre-processing methods were applied as well to filter unstructured tweets.


2020 ◽  
Author(s):  
SALIMA MOHAMED TALEB ◽  
MARWA ALLAOUA BOUSSAKTA

Objectives: Providing valuable information on the prevalence of Covid-19 is a crucial step to improve and accentuate the disease surveillance and prevention system as this can limit the spread of the virus. Methods: COVID-19 is caused by the SARS-CoV-2 virus. It is essential to understand the epidemiological characteristics of the first cases in each country. The purpose of this study is to describe the geographic distribution and some risk factors in the first thousands of cases in Algeria. This descriptive study was carried out to examine recent data published by public health institutions in Algeria, websites and the world health organization. Results: The 8306 cases of COVID-19 have been confirmed in Algeria. By sex, men with 55.76% predominate, the most affected age group was 25 to 49 years old (41.1%), 600 cases of death were reported, subjects aged over 60 years are the most likely to die from COVID-19. Most of the confirmed subjects came from the cities of Blida and Algiers. All cases are human-to-human transmissions. Conclusion: The COVID-19 pandemic has highlighted the lack of dical equipment in Algeria and in all countries of the world. This requires better management of the health sector on an international scale. Keywords: COVD-19; Confirmed cases; Epidemiology; Algeria.


Author(s):  
Tamar Sharon

AbstractThe datafication and digitalization of health and medicine has engendered a proliferation of new collaborations between public health institutions and data corporations like Google, Apple, Microsoft and Amazon. Critical perspectives on these new partnerships tend to frame them as an instance of market transgressions by tech giants into the sphere of health and medicine, in line with a “hostile worlds” doctrine that upholds that the borders between market and non-market spheres should be carefully policed. This article seeks to outline the limitations of this common framing for critically understanding the phenomenon of the Googlization of health. In particular, the mobilization of a diversity of non-market value statements in the justification work carried out by actors involved in the Googlization of health indicates the co-presence of additional worlds or spheres in this context, which are not captured by the market vs. non-market dichotomy. It then advances an alternative framework, based on a multiple-sphere ontology that draws on Boltanski and Thevenot’s orders of worth and Michael Walzer’s theory of justice, which I call a normative pragmatics of justice. This framework addresses both the normative deficit in Boltanski and Thevenot’s work and provides an important emphasis on the empirical workings of justice. Finally, I discuss why this framework is better equipped to identify and to address the many risks raised by the Googlization of health and possibly other dimensions of the digitalization and datafication of society.


2020 ◽  
Vol 14 (4) ◽  
pp. 193-197
Author(s):  
Alan Glasper

In light of the emergence in China of COVID-19, the novel corona virus, emeritus professor Alan Glasper, from the University of Southampton discusses the role of the World Health Organization and other public health institutions in responding to potential new global pandemics and deliberates on the role of NHS staff in coping with infectious disease in clinical environments.


PLoS ONE ◽  
2021 ◽  
Vol 16 (6) ◽  
pp. e0251815
Author(s):  
Solomon Shitu ◽  
Getachew Adugna ◽  
Haimanot Abebe

Background Blood/body fluid splash are hazards to health care professionals in their working area. Around twenty bloodborne pathogens are known to be transmitted through these occupational injuries. This problem alters the health status of health care professionals in different ways, including physically, mentally, and psychologically. Even though health professionals especially midwives who are working in delivery rooms are highly affected, little is known about the exposure. So, this study was aimed to assess the prevalence of exposure to blood/body fluid splash and its predictors among midwives working in public health institutions of Addis Ababa city. Methods Institution based cross-sectional study was conducted among 438 study participants in public health institutions in Addis Ababa. Data was collected from March 1–20, 2020 by a self-administered questionnaire. The data were entered into Epi data version 3.1 and then exported to SPSS version 24 for analysis. All variables with P<0.25 in the bivariate analysis were included in a final model and statistical significance was declared at P< 0.05. Results In this study, a total of 424 respondents respond yielding a response rate of 97%. The prevalence of blood and body fluid splashes (BBFs) was 198 (46.7%). Not training on infection prevention, working in two shifts (> 12 hours), not regularly apply universal precautions, job-related stress, an average monthly salary of 5001–8000 were independent predictors of blood and body fluid splashes. Conclusion The study revealed that nearly half of midwives were exposed to BBFS. This highlights the need for key stakeholders such as policymakers and service providers to design appropriate policies to avert this magnitude and making the environment enabling to comply with standard precautions. We recommend that this study may be done by including rural setting institutions and by including other health professionals that are susceptible to BBFS at work. Formal training on infection prevention and safety practice to apply universal precautions will be needed from the concerned bodies to prevent exposures to blood/body fluid splash.


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