Punam is a Post-Doctoral Research Scientist in Geospatial Epidemiology in the Malaria Atlas Project at the Big Data Institute, University of Oxford. Her current research and interests will be to develop novel statistical approaches to geospatial analysis of disease risk; particularly developing models to combine multiple malaria metrics. Her work feeds into the malaria risk stratification team's goals.

She comes to the MAP team from University of Florida where she was involved in Bayesian geostatistical modelling work during her PhD. She has actively been involved in malaria research across Africa for many years and continuously strives to contribute to the malaria research community globally.


Selected Biography

Amratia, P., Psychas P., Abuaka B., Ahorlu, C., Oppong, S., Koram, K., Valle, D.,

Impact of sample size, sample design, and GPS displacement on local risk maps of malaria (in prep)

. 2018
Abuaka B., Ahorlu, C., Amratia, P., Psychas P., Millar, J., Oppong, S., Koram, K., Valle, D.,

Characterizing local-scale heterogeneity of malaria risk: a case study in Bunkpurugu-Yunyoo district in northern Ghana (in review)

. 2019
URLDOIMillar, J., Psychas P., Abuaka B., Ahorlu, C., Amratia, P., Koram, K., Oppong, S., Valle, D.,

Detecting local risk factors for residual malaria in northern Ghana using Bayesian model averaging

Malaria Journal. September 2018 17 343.
URLDOISnow RW., Sartorius B., Kyalo D., Maina J, Amratia, P., Mundia CW., Bejon P., Noor AM.,

The prevalence of Plasmodium falciparum in sub-Saharan Africa since 1900

Nature. October 2017 550(7677): 515-518.
URLDOIKayalo D., Amratia, P., Mundia CW., Mbogo CM., Coetzee M., Snow RW.,

A geo-coded inventory of anophelines in the Afrotropical Region south of the Sahara: 1898-2016

Wellcome Open Research. July 2017 2 57.
URLDOIValle, D., Millar, J., Amratia, P.,

Spatial heterogeneity can undermine the effectiveness of country-wide test and treat policy for malaria: a case study from Burkina Faso

Malaria Journal. October 2016 15 513.
URLDOIValle, D., Lima JM., Millar, J., Amratia, P., Haque U.,

Bias in logistic regression due to imperfect diagnostic test results and practical correction approaches

Malaria Journal. November 2015 14 434.