The Oxford Modelling Group for Global Health (OMGH) is developing model structures to estimate the impact of potential mitigation strategies. By changing the input data and parameter values, the models can be adjusted to represent a national or subnational setting. In addition, a user friendly application and interface is being developed to enable widespread utility.
The COVID-19 International Modelling Consortium (CoMo Consortium) was created by researchers at the University of Oxford and Cornell University. The CoMo Consortium is partnering with infectious disease modellers and public health experts from over 40 countries in Africa, Asia and America. The CoMo Consortium uses a participatory approach to provide decision-making support to policymakers, using evidence from epidemiological and economic models adapted to each country’s context.
The CoMo Philippines group is the Philippines country team that is supporting the use of the model specific to the Philippines as part of the CoMo Consortium.
covidphtext, an R package that facilitates creation and structuring of text data from the resolutions issued by the Philippine Inter-agency Task Force for the Management of Emerging Infectious Diseases (IATF).
A case study on the impact of epidemiologic models on government policy and response to COVID-19 pandemic in the Philippines
The utility and impact of epidemiological models in the development of policy and formulation of interventions during an epidemic. The case of the response to the COVID-19 pandemic in the Philippines.
The COVID-19 International Modelling Consortium (CoMo) in the Philippines
We are a collective of Filipino pubic health professionals - educators, practitioners and scientists - working in partnership with relevant Philippine government officials in generating robust scientific evidence to guide the COVID-19 pandemic response.
Health science research, Statistical data analysis, Research design
International public health and nutrition, Public health and nutrition in humanitarian settings, Spatial epidemiology, R statistical package development
Infectious disease epidemiology, Spatial analysis for public health, Public health surveillance