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South-East Asia Regional Conference on Epidemiology

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16 | <str<strong>on</strong>g>South</str<strong>on</strong>g>-<str<strong>on</strong>g>East</str<strong>on</strong>g> <str<strong>on</strong>g>Asia</str<strong>on</strong>g> <str<strong>on</strong>g>Regi<strong>on</strong>al</str<strong>on</strong>g> <str<strong>on</strong>g>C<strong>on</strong>ference</str<strong>on</strong>g> <strong>on</strong> <strong>Epidemiology</strong><br />

About the papers<br />

The proceedings include most of the presentati<strong>on</strong>s that were made in the SEA <str<strong>on</strong>g>Regi<strong>on</strong>al</str<strong>on</strong>g> <str<strong>on</strong>g>C<strong>on</strong>ference</str<strong>on</strong>g><br />

<strong>on</strong> <strong>Epidemiology</strong>. Due to unavoidable reas<strong>on</strong>s, five presentati<strong>on</strong>s could not be included. To give an<br />

overview of these presentati<strong>on</strong>s to readers, we are providing here a brief summary of each:<br />

1. Special Lecture<br />

Power of free access to public health data for explorati<strong>on</strong>, m<strong>on</strong>itoring and advocacy<br />

(Hans ROSLING)<br />

Dr Hans Rosling enunciated novel analyses and dem<strong>on</strong>strati<strong>on</strong> methods for easy comprehensi<strong>on</strong> of<br />

data. He stressed that the statistical agency/public health institute should standardize the quality of<br />

data which should be available in machine-readable format. Society and any category of user should<br />

recognize the source of any data for global good. Mechanisms should be established for sharing<br />

of the data so that innovati<strong>on</strong> in the use of modern informati<strong>on</strong> technology for communicating<br />

epidemiological informati<strong>on</strong> in an interesting way is encouraged.<br />

We str<strong>on</strong>gly recommend the website http://www.gapminder.org where some of the interesting<br />

presentati<strong>on</strong>s of Dr Hans Rosling can be accessed.<br />

2. Plenary <strong>on</strong> <strong>Epidemiology</strong>: Ensuring Health Security<br />

Pandemic (H1N1) influenza: An overview and less<strong>on</strong>s learnt (Keiji FUKUDA)<br />

Dr Keiji Fukuda described the dynamics of the influenza pandemic (2009) with some of its striking<br />

patterns. These included a predilecti<strong>on</strong> for complicati<strong>on</strong>s and deaths am<strong>on</strong>g the younger age groups and<br />

viral pneum<strong>on</strong>ia as the primary presentati<strong>on</strong>. The important less<strong>on</strong>s learnt from the H1N1 pandemic<br />

are to build into the preparedness plan adequate flexibility and adaptability to events and to obtain<br />

public cooperati<strong>on</strong> through effective communicati<strong>on</strong>.<br />

3. Plenary <strong>on</strong> Research to Policy: Walking <strong>on</strong> a Bumpy Road<br />

<strong>Epidemiology</strong>: A tool for community acti<strong>on</strong> (Abhay BANG)<br />

Dr Abhay Bang made a str<strong>on</strong>g case for use of research outcomes in policy formulati<strong>on</strong>. The current<br />

model of research, decisi<strong>on</strong>-making, policy-shaping and acti<strong>on</strong> has too many barriers, and often ends<br />

in failure. The community and researchers should jointly identify the problem, collect data, analyse it<br />

and share these with the community to solve local problems. He called this participatory epidemiology<br />

which can solve local problems and may even shape global policies.<br />

4. Parallel sessi<strong>on</strong> <strong>on</strong> Disease <strong>Epidemiology</strong>, Modelling and Innovati<strong>on</strong><br />

Social innovati<strong>on</strong> and civic participati<strong>on</strong>: A new shape of the development in India<br />

(RC MISHRA)<br />

Dr R.C. Mishra highlighted the paradigm shift in India in health services with the private sector<br />

acquiring an important role. Innovative methods have been used for the delivery of services which<br />

have direct linkages with the social determinants of health. Efficient and successful implementati<strong>on</strong> of<br />

this warrants a practical business model.<br />

5. Parallel sessi<strong>on</strong> <strong>on</strong> Disease <strong>Epidemiology</strong>, Modelling and Innovati<strong>on</strong><br />

Agent-based computati<strong>on</strong>al modelling in epidemiology (R HAMMOND)<br />

Dr R. Hamm<strong>on</strong>d explained agent-based computati<strong>on</strong>al modelling in epidemiology in this sessi<strong>on</strong>.

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