Communities cannot thrive without good health, but sadly, good health can be elusive for communities on the margins of society. Even before covid, tribal and indigenous people all over the world have routinely experienced lower life expectancies, poor maternal and child health, and higher rates of both infectious and non-communicable diseases.
[wptelegram-join-channel link=”https://t.me/s/upsctree” text=”Join @upsctree on Telegram”]
The coronavirus pandemic—food insecurity, isolation, and loss of income that have followed—have only exacerbated these trends and pushed vulnerable tribal and indigenous populations further to the margins.
But India is particularly well placed to reverse these trends. As home to 28% of the world’s tribal people, developing holistic bottom-up strategies to improve health and well-being in local settings. India can become the forerunner of new initiatives to improve tribal health, creating a model for the rest of the world to empower indigenous communities.
By working with local leaders to bridge knowledge gaps, strengthening last mile service delivery and leveraging the potential of new technologies and partnerships, India can vastly improve the well-being of its 104 million tribal citizens and help the world reach its Sustainable Development Goals for 2030.
To be clear, this task will not be easy. Due to a variety of factors, the life expectancy of tribal and indigenous people worldwide is up to 20 years lower than the rest of the population. More than half of indigenous adults over 35 suffer from type-2 diabetes.
In India, while there is limited data, sources suggest that a tribal woman is twice as likely to die during pregnancy and childbirth. India’s tribal population also accounts for 50% of malaria deaths in the country, and tuberculosis is five times more prevalent.
Nonetheless, India has both the ability and responsibility to transform how its most vulnerable citizens and communities receive healthcare. Doing so is critical not only to India’s future, but to that of tribal and indigenous populations all over the world.
The challenge of improving tribal health and nutrition can be tackled with a three-pronged approach. First, there must be enough available knowledge and tribal de-segregated data to make evidence-based policy decisions. Complicated problems cannot be solved without an in-depth understanding of the root causes.
India is not a homogenous population; linguistic barriers, coupled with generally poor or no data, might further lead to a lack of context-specific policies and interventions. Thus, it becomes imperative to create and disseminate knowledge around tribal health and nutrition, both to inform policy and help address myths within communities that might discourage people from accessing healthcare if and when available.
Second, working alongside governments at every level, we must strengthen health service delivery in the last mile. While universal access to healthcare has remained elusive to date, the government is making its best attempts to bridge the gap with tribal focused plans, including by operationalizing health and wellness centres in remote and tribal areas.
In past, be it in the aspirational districts of India or working in other parts of the world, affordable and accessible healthcare does not become a reality unless both the delivery of health services and health-seeking behaviour of the community work towards each other. In other words, to achieve the audacious goal of impacting 104 million people, both the demand and supply sides of health services will have to be bolstered in parallel.
Finally, leveraging new technologies and partnerships can improve both decision-making and patient care. New digital innovations, especially mobile apps and platforms, can connect people longitudinally, vertically, and horizontally.
Introducing point-of-care devices can improve data collection and accountability throughout the health services sector. The national digital health mission is an important step in the right direction and can help expedite this digital transformation.
Similarly, bringing together multiple partners around the shared vision of improving tribal health can focus efforts for positive change. Several philanthropic organizations (including the Piramal Foundation and Bill & Melinda Gates Foundation) and civic groups working in the tribal health space have recently come together to create the Tribal Health Collaborative.
This unique and exciting initiative has set an ambitious goal of ending all preventable diseases among India’s tribal communities in the next decade. If successful, it will improve the lives of 100 million of India’s most marginalized citizens and save more than 5 million lives from disease.
Through data, delivery, innovation, and partnership—guided by a spirit of sewa, or selfless service—we can help reduce the burdens of disease, malnutrition, and poor health for millions of people in India and around the world.
Creating robust knowledge infrastructure could enhance policymaking, effective implementation at the last mile can ensure the optimal use of healthcare services, and new technology platforms could help knit these aspects together and close the tribal health and nutrition loop.
This tripartite model of knowledge, implementation, and technology can help us realize our collective goal of a more equitable society. If we commit ourselves to it and invest now in improving tribal health and nutrition, we can make a world of difference to those in need.
# Trending Now
Subscribe
Related Posts
- Anonymity: Darknet allows users to communicate and transact with each other anonymously. Users can maintain their privacy and avoid being tracked by law enforcement agencies or other entities.
- Access to Information: The darknet provides access to information and resources that may be otherwise unavailable or censored on the regular internet. This can include political or sensitive information that is not allowed to be disseminated through other channels.
- Freedom of Speech: The darknet can be a platform for free speech, as users are able to express their opinions and ideas without fear of censorship or retribution.
- Secure Communication: Darknet sites are encrypted, which means that communication between users is secure and cannot be intercepted by third parties.
- Illegal Activities: Many darknet sites are associated with illegal activities, such as drug trafficking, weapon sales, and hacking services. Such activities can attract criminals and expose users to serious legal risks.
- Scams: The darknet is a hotbed for scams, with many fake vendors and websites that aim to steal users’ personal information and cryptocurrency. The lack of regulation and oversight on the darknet means that users must be cautious when conducting transactions.
- Security Risks: The use of the darknet can expose users to malware and other security risks, as many sites are not properly secured or monitored. Users may also be vulnerable to hacking or phishing attacks.
- Stigma: The association of the darknet with illegal activities has created a stigma that may deter some users from using it for legitimate purposes.
- Virtual assistants: Siri, Alexa, and Google Assistant are examples of virtual assistants that use natural language processing to understand and respond to users’ queries.
- Recommendation systems: Companies like Netflix and Amazon use AI to recommend movies and products to their users based on their browsing and purchase history.
- Efficiency: AI systems can work continuously without getting tired or making errors, which can save time and resources.
- Personalization: AI can help provide personalized recommendations and experiences for users.
- Automation: AI can automate repetitive and tedious tasks, freeing up time for humans to focus on more complex tasks.
- Job loss: AI has the potential to automate jobs previously performed by humans, leading to job loss and economic disruption.
- Bias: AI systems can be biased due to the data they are trained on, leading to unfair or discriminatory outcomes.
- Safety and privacy concerns: AI systems can pose safety risks if they malfunction or are used maliciously, and can also raise privacy concerns if they collect and use personal data without consent.
Darknet
Definition:
Darknet, also known as dark web or darknet market, refers to the part of the internet that is not indexed or accessible through traditional search engines. It is a network of private and encrypted websites that cannot be accessed through regular web browsers and requires special software and configuration to access.
The darknet is often associated with illegal activities such as drug trafficking, weapon sales, and hacking services, although not all sites on the darknet are illegal.
Examples:
Examples of darknet markets include Silk Road, AlphaBay, and Dream Market, which were all shut down by law enforcement agencies in recent years.
These marketplaces operate similarly to e-commerce websites, with vendors selling various illegal goods and services, such as drugs, counterfeit documents, and hacking tools, and buyers paying with cryptocurrency for their purchases.
Pros :
Cons:
Artificial Intelligence
Definition:
AI, or artificial intelligence, refers to the development of computer systems that can perform tasks that would normally require human intelligence, such as recognizing speech, making decisions, and understanding natural language.
Examples:
Pros :
Cons:
Recent Posts
- Anonymity: Darknet allows users to communicate and transact with each other anonymously. Users can maintain their privacy and avoid being tracked by law enforcement agencies or other entities.
- Access to Information: The darknet provides access to information and resources that may be otherwise unavailable or censored on the regular internet. This can include political or sensitive information that is not allowed to be disseminated through other channels.
- Freedom of Speech: The darknet can be a platform for free speech, as users are able to express their opinions and ideas without fear of censorship or retribution.
- Secure Communication: Darknet sites are encrypted, which means that communication between users is secure and cannot be intercepted by third parties.
- Illegal Activities: Many darknet sites are associated with illegal activities, such as drug trafficking, weapon sales, and hacking services. Such activities can attract criminals and expose users to serious legal risks.
- Scams: The darknet is a hotbed for scams, with many fake vendors and websites that aim to steal users’ personal information and cryptocurrency. The lack of regulation and oversight on the darknet means that users must be cautious when conducting transactions.
- Security Risks: The use of the darknet can expose users to malware and other security risks, as many sites are not properly secured or monitored. Users may also be vulnerable to hacking or phishing attacks.
- Stigma: The association of the darknet with illegal activities has created a stigma that may deter some users from using it for legitimate purposes.
- Virtual assistants: Siri, Alexa, and Google Assistant are examples of virtual assistants that use natural language processing to understand and respond to users’ queries.
- Recommendation systems: Companies like Netflix and Amazon use AI to recommend movies and products to their users based on their browsing and purchase history.
- Efficiency: AI systems can work continuously without getting tired or making errors, which can save time and resources.
- Personalization: AI can help provide personalized recommendations and experiences for users.
- Automation: AI can automate repetitive and tedious tasks, freeing up time for humans to focus on more complex tasks.
- Job loss: AI has the potential to automate jobs previously performed by humans, leading to job loss and economic disruption.
- Bias: AI systems can be biased due to the data they are trained on, leading to unfair or discriminatory outcomes.
- Safety and privacy concerns: AI systems can pose safety risks if they malfunction or are used maliciously, and can also raise privacy concerns if they collect and use personal data without consent.
Darknet
Definition:
Darknet, also known as dark web or darknet market, refers to the part of the internet that is not indexed or accessible through traditional search engines. It is a network of private and encrypted websites that cannot be accessed through regular web browsers and requires special software and configuration to access.
The darknet is often associated with illegal activities such as drug trafficking, weapon sales, and hacking services, although not all sites on the darknet are illegal.
Examples:
Examples of darknet markets include Silk Road, AlphaBay, and Dream Market, which were all shut down by law enforcement agencies in recent years.
These marketplaces operate similarly to e-commerce websites, with vendors selling various illegal goods and services, such as drugs, counterfeit documents, and hacking tools, and buyers paying with cryptocurrency for their purchases.
Pros :
Cons:
Artificial Intelligence
Definition:
AI, or artificial intelligence, refers to the development of computer systems that can perform tasks that would normally require human intelligence, such as recognizing speech, making decisions, and understanding natural language.
Examples:
Pros :
Cons: