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Health and Climate Change: Person to planet

Health of individuals and communities are interconnected with the health of ecosystem in which they live. These ecosystems can be altered by natural and man-made acts. Such natural and man-made activities can change the climate of localities. The changes in climate can result in the rise of sea-level, excessive or absence of rains, variations in the biodiversity, spread of infectious diseases, production and availability of food products, and lifestyle and mental health of persons, plants and animals. These interactions between human, animal, plants and environment can affect the health conditions of living organisms. Understanding the relationship between climate change and health is crucial to minimize disease burden, and to create a healthy planet for all to live-in. Prevention and promotion of health of individuals and community, protection of our planet’s health, preparations to face the effects of changing climatic conditions, and protection living organisms from diseases gained considerable recognition in the recent times.

This two-credit course offered by the Department of Global Public Health Policy and Governance, Prasanna School of Public Health, Manipal Academy of Higher Education offers an opportunity to understand how individual actions and societal decisions play a pivotal role in shaping both our health and the environment. This is crucial to make sustainable choices and advocating for systemic changes and joint actions across the globe to protect the planet, safeguard our own health and well-being through a holistic approach, through the understanding that human health and planetary health are intrinsically linked. This course promote the students to promote interdisciplinary thinking, influence the policy makers and people, developing innovative and locally suitable innovative solutions, engagement in policy development and participate in global networking. Case studies, interactive sessions from experts, and other resources and materials will equip the participants to build a sustainable and healthy ecosystems for future generations to live.

Learning Outcomes

On completion, students will be able to:

Course Content (Academic schedule)

Name of the Coordinator: Dr Cherian Varghese and Dr Prakash Narayanan

Time: 9.00 am – 1.00 pm

Day Program Content Learning Outcome
Day 0 Arrival
Day 1 Introduction to Climate Change (CH) Global warming, greenhouse gases, Global and regional trends in climatic conditions, causes (deforestation, industries, urbanisation, agriculture and energy) of CH, natural and man-made disasters LO1
Day 2 CH and environmental effects Increased temperature, humidity, precipitation, extreme events such as heatwaves, wildfire, sea-level rise, droughts, torrential rains, water quality, air pollution LO1
Day 3 Health impacts of CH Health challenges and changes due to exposure to CH; Direct impacts such as stress, injuries and accidents; Communicable diseases, malnutrition, food insecurity and food safety; Non communicable and respiratory diseases; Mental health; and Rehabilitation and adaptation stress LO1, LO2
Day 4 Short and long term health effects due to CH Short term effects: heatstroke, respiratory and cardiovascular stress, vector borne disease outbreaks, floods and droughts, disruption of services and medication
Long term: chronic respiratory diseases, cancer, food and water insecurity, changes in vectors, neurological diseases
LO2
Day 5 Health equity and CH Vulnerable groups for CH; gender, class, location, pre-existing health conditions; economic loss, displacement, adapting new technologies; rights and justice, advocacy, support systems.
Assessment of vulnerability, health effects, and response mechanisms in community and healthcare institutions
LO2
Saturday
Sunday
Weekend
Day 6 Policies and practices to reduce the health risks Local and feasible mitigation practices, social and technological innovations, policies and preparedness to address health effects and inequity and vulnerability. Heat action plans, urban planning and preparation of climate resilient communities.
Methods to monitor climate change preparedness in communities and healthcare facilities
LO3
Day 7 Methods to monitor climate change preparedness in communities and healthcare facilities Global, regional and local policies and frameworks, WHO and UN guidelines, Disaster management planning. Renewable energy, low carbon emission technologies, green infrastructure, mobility, quality and availability of clean air-water-food. LO3, LO4
Day 8 Multisectoral collaboration for climate health Importance and role of cross-sectoral collaborations, Developing climate-resilient systems (infrastructure, early warning, and emergency response systems). Awareness creation and capacity building at local level. Advocacy and networking. International cooperation and funding mechanisms to support climate and environment improvements
Education and capacity building of professionals and community members
LO4
Day 9 Looking forward: health and climate Actions needed to address the complexity of health due to CH in future. Innovative climate action approaches and solutions, surveillance and research, preparedness and plans, reducing inequity, emergencies and outbreak detection and support systems LO4
Day 10 Generation of evidence Discussion on how to generate evidences on interconnectedness of CH and health, interventions that can improve health of planet and people. LO1, LO2, LO3
Saturday
Sunday
Closure & Departure

Program Highlights

Fee Details

The Program fee is USD 955 (Appx).

  • Essential linear algebra for deep learning
  • Fundamentals of linear classification: weights, bias, scores, and loss functions
  • Calculus for the gradient descent algorithm
  • Forward and backward propagation with regularization
  • Batch processing for large datasets
  • Linear to nonlinear classification via activation functions
  • Computational setup of a shallow neural network
  • Tuning neural network performance
  • Pre-processing data and batch normalization
  • Cross-validation for validating model performance
  • Extending the computational setup from a shallow to a deep neural network
  • Introduction to the TensorFlow library
  • Application projects: implementing shallow and deep neural network models using TensorFlow; implementing machine learning models on edge devices using Edge Impulse.

Pre-requisites

Cordinator Details

Name of the Coordinator

Dr Prakash Narayanan
Dr Navya Vyas
Dr Vias Kapil

Distinctive Features

Offered by

Prasanna School of Public Health