Sri Lanka, once a colony of Britain, gained independence in 1948. However, especially the health sector continues to use English as its main medium of communication. Such language bias leads to marginalization of those less fluent in English, and hinders achieving a higher level of health literacy. Discrimination of people or social groups based on their language is termed linguicism. Tackling linguicism requires an understanding of its historic roots and an exploration of potential links to colonial racial prejudices. Published literature (...) presents evidence that traces linguicism to language policies of the British colonial government. Though an exhaustive survey of historical records is not presented, there is reasonable evidence to suggest a close link. British colonial rule derived its justification from supremacist and racist ideology. As a result, English became the medium in all forms of official communications, a situation that persisted after independence. A similar situation exists in many parts of the worlds. We should recognize language-based discrimination and linguicism as public health issues. They are detrimental to health of vulnerable groups and have the potential to worsen health disparities. (shrink)

The well-known classifier support vector machine has many parameters associated with its various kernel functions. The radial basis function kernel, being the most preferred kernel, has two parameters to be optimized. The problem of optimizing these parameter values is called model selection in the literature, and its results strongly influence the performance of the classifier. Another factor that affects the classification performance of a classifier is the feature subset. Both these factors are interdependent and must be dealt with simultaneously. Following (...) the multiobjective definition of feature selection, we have applied a multiobjective genetic algorithm, NSGA II, to optimize the feature subset and model parameters simultaneously. Comparison of the proposed approach with the grid algorithm and GA-based method suggests that the MOGA-based approach performs better than the grid algorithm and is as good as the GA-based approach. Moreover, it provides multiple solutions instead of a single solution. The users can prefer one feature subset over the other as per their requirement and available resources. (shrink)

Racial bias and language discrimination are recognized in the health sector in countries such as Sri Lanka. This may extend to images used in health communication and educational literature. We analyzed the racial and ethnic representation in a sample of newspapers and websites related to health obtained over a period. Most of the human figures in health-related messages in newspapers had an overrepresentation of Caucasians. This trend was absent in websites where 73% of the images of Sri Lankans. The reasons (...) for this pattern could be due to the availability of image-quality photographs and exposure to a norm that is racially biased. For example, a majority of images in medical textbooks and prestigious journals are of white Caucasians. A predominance of such images could have two impacts. At an individual level, it would affect acquiring skills of visual diagnoses. At a societal level, it may reinforce a view that most forms of health-related knowledge are created in the West and could add to existing discrimination based on skin color (i.e., colorism). The latter is a known psychosocial stressor that contributes to psychological distress among socially disadvantaged populations and promotes behaviors adverse to health and residential segregation. These may contribute to poorer physical, mental, and infant health outcomes in dark-skinned individuals compared to lighter-skinned in the USA and Canada. Such discrimination within the health system would compromise basic human dignity, disempower patients, and violate the principle of autonomy. Sri Lankan media, the healthcare profession, and educationists need to recognize the relevance and importance of using images that appropriately reflect the realities of their own environment, its people, and patients. (shrink)

Sponsorship of medical conferences by the pharmaceutical industry has led to many ethical issues, especially in resource-poor developing countries. The core issue in these instances is to reduce or avoid conflicts of interests. COI is a set of circumstances that creates a risk that professional judgment or actions regarding a primary interest will be unduly influenced by secondary interests. Disruption of social trust should also be considered. This deontological approach should be complemented by a consequentialist approach. Towards this, the concept (...) ofdistal interests is introduced. DI lies beyond the immediately visible COIs and the consequences of immediate decisions. They are ‘distal’ in time or place: ‘DI in time’ means consequence of the decision in future scenarios, while ‘DI in space’ means those that impinge on other institutions or bodies. In judging the consequences, it is also necessary to consider the reality of the existing relationship between the pharmaceutical industry and organisers of conferences. In more developed countries, these relationships are governed by stricter regulations, adherence to codes of conduct by both parties and stronger institutional oversights. In contrast, developing countries such as Sri Lanka the regulatory environment is lax and the demarcation of interests between the pharmaceutical industry and the medical profession is considerably blurred. Therefore, establishing clear rules of engagement between the stakeholders should be considered as an attempt to clear the muddy waters. The paper proposes a set of guidelines to capture these approaches. (shrink)

Lists of species underpin many fields of human endeavour, but there are currently no universally accepted principles for deciding which biological species should be accepted when there are alternative taxonomic treatments (and, by extension, which scientific names should be applied to those species). As improvements in information technology make it easier to communicate, access, and aggregate biodiversity information, there is a need for a framework that helps taxonomists and the users of taxonomy decide which taxa and names should be used (...) by society whilst continuing to encourage taxonomic research that leads to new species discoveries, new knowledge of species relationships, and the refinement of existing species concepts. Here, we present 10 principles that can underpin such a governance framework, namely (i) the species list must be based on science and free from nontaxonomic considerations and interference, (ii) governance of the species list must aim for community support and use, (iii) all decisions about list composition must be transparent, (iv) the governance of validated lists of species is separate from the governance of the names of taxa, (v) governance of lists of accepted species must not constrain academic freedom, (vi) the set of criteria considered sufficient to recognise species boundaries may appropriately vary between different taxonomic groups but should be consistent when possible, (vii) a global list must balance conflicting needs for currency and stability by having archived versions, (viii) contributors need appropriate recognition, (ix) list content should be traceable, and (x) a global listing process needs both to encompass global diversity and to accommodate local knowledge of that diversity. We conclude by outlining issues that must be resolved if such a system of taxonomic list governance and a unified list of accepted scientific names generated are to be universally adopted. (shrink)

The COVID-19 pandemic has undoubtedly become an era-defining challenge for the entire world. It has implications not only in the public health sector but also in the global economy and political landscape. The prevention strategy that has been followed in Sri Lanka is unique. Early action taken by the government and the ministry of health, being one of pre-emptive quarantining and isolation of suspected contacts even before they developed symptoms, was vital to contain the spread of the disease. During the (...) early phase, a nationwide lockdown in the form of a curfew was imposed which helped mitigate the spread of the virus. However, due to several lapses, there was a threat of community transmission; this was swiftly brought under control through ongoing government interventions. Thus, strict social/physical distancing measures enforced by the government, together with an increase in testing capacity, prevented widespread community transmission. Strictly containing the outbreaks as and when they were identified made it easier to bring the spread under control through contact tracing. In this article, we give an account of the strategy taken by Sri Lanka to mitigate the pandemic and comment on the lessons learned concerning the ethical responses to the COVID-19 crisis. (shrink)