I currently serve as a computational data scientist at the Mahidol-Oxford Tropical Medicine Research Unit (MORU) in Bangkok, Thailand. My primary research areas include within-host modeling of malaria infections and metapopulation modeling of dengue infections. I am particularly intrigued by the dynamics of the Plasmodium falciparum parasite in patients with malaria, both in the absence and presence of antimalarial drugs, as well as the spread of dengue and its associated intervention strategies.
He/him/his
Cambodia
Singapore
United Kingdom
Lao Peoples Democratic Republic
Thailand
Astley J, Saralamba S, Poovorawan K, White LJ, Aguas R, Pan-Ngum W. (2024). Population and transmission dynamics model to determine WHO targets for eliminating Hepatitis C virus in Thailand. PloS one, 19(10)
Luangasanatip N, Painter C, Pan-Ngum W, Saralamba S, Wichaita T, White L, Aguas R, Clapham H, Wang Y, Isaranuwatchai W, Teerawattananon Y. (2023). How to model the impact of vaccines for policymaking when the characteristics are uncertain: A case study in Thailand prior to the vaccine rollout during the COVID-19 pandemic. Vaccine, 41(33)
Saralamba S, Simpson JA, Choosri N, White L, Pan-Ngum W, Dondorp AM, White NJ. (2023). An artesunate pharmacometric model to explain therapeutic responses in falciparum malaria. The Journal of antimicrobial chemotherapy, 78(9)
Wang Y, Luangasanatip N, Pan-Ngum W, Isaranuwatchai W, Prawjaeng J, Saralamba S, Painter C, Briones JR, Teerawattananon Y. (2022). Assessing the cost-effectiveness of COVID-19 vaccines in a low incidence and low mortality setting: the case of Thailand at start of the pandemic. The European journal of health economics : HEPAC : health economics in prevention and care
Gomutbutra P, Kittisares A, Sanguansri A, Choosri N, Sawaddiruk P, Fakfum P, Lerttrakarnnon P, Saralamba S. (2022). Classification of elderly pain severity from automated video clip facial action unit analysis: A study from a Thai data repository. Frontiers in artificial intelligence, (5)
Chan XHS, Win YN, Haeusler IL, Tan JY, Loganathan S, Saralamba S, Chan SKS, Ashley EA, Barnes KI, Baiden R, Bassi PU, Djimde A, Dorsey G, Duparc S, Hanboonkunupakarn B, Ter Kuile FO, Lacerda MVG, Nasa A, Nosten FH, Onyeji CO, Pukrittayakamee S, Siqueira AM, Tarning J, Taylor WRJ, Valentini G, van Vugt M, Wesche D, Day NPJ, Huang CL, Brugada J, Price RN, White NJ. (2020). Factors affecting the electrocardiographic QT interval in malaria: A systematic review and meta-analysis of individual patient data. PLoS medicine, 17(3)
Gao B, Saralamba S, Lubell Y, White LJ, Dondorp AM, Aguas R. (2020). Determinants of MDA impact and designing MDAs towards malaria elimination. eLife, (9)
Kinyanjui T, Pan-Ngum W, Saralamba S, Taylor S, White L, Nokes DJ. (2020). Model evaluation of target product profiles of an infant vaccine against respiratory syncytial virus (RSV) in a developed country setting. Vaccine: X, (4)
Sheetal Prakash Silal, Rima Shretta, Olivier J Celhay, Chris Erwin Gran Mercado, Sompob Saralamba, Richard James Maude, Lisa Jane White. (2019). Malaria elimination transmission and costing in the Asia-Pacific: a multi-species dynamic transmission model. Wellcome Open Research, 4(62)
Bo Gao, Sompob Saralamba, Yoel Lubell, Arjen M Dondorp, Lisa White, Ricardo Aguas. (2019). Not all MDAs should be created equal determinants of MDA impact and designing MDAs towards malaria elimination. bioRxiv
Tun STT, von Seidlein L, Pongvongsa T, Mayxay M, Saralamba S, Kyaw SS, Chanthavilay P, Celhay O, Nguyen TD, Tran TN, Parker DM, Boni MF, Dondorp AM, White LJ. (2017). Towards malaria elimination in Savannakhet, Lao PDR: mathematical modelling driven strategy design. Malaria journal, 16(1)
Tun STT, Lubell Y, Dondorp AM, Fieldman T, Tun KM, Celhay O, Chan XH, Saralamba S, White LJ. (2017). Identifying artemisinin resistance from parasite clearance half-life data with a simple Shiny web application. PloS one, 12(5)
Cao P, Klonis N, Zaloumis S, Dogovski C, Xie SC, Saralamba S, White LJ, Fowkes FJI, Tilley L, Simpson JA, McCaw JM. (2017). A Dynamic Stress Model Explains the Delayed Drug Effect in Artemisinin Treatment of Plasmodium falciparum. Antimicrobial agents and chemotherapy, 61(12)
Pan-Ngum W, Kinyanjui T, Kiti M, Taylor S, Toussaint JF, Saralamba S, Van Effelterre T, Nokes DJ, White LJ. (2017). Predicting the relative impacts of maternal and neonatal respiratory syncytial virus (RSV) vaccine target product profiles: A consensus modelling approach. Vaccine, 35(2)
Maude RJ, Saralamba S, Lewis A, Sherwood D, White NJ, Day NP, Dondorp AM, White LJ. (2011). Modelling malaria elimination on the internet. Malaria journal, (10)
Maude RJ, Lubell Y, Socheat D, Yeung S, Saralamba S, Pongtavornpinyo W, Cooper BS, Dondorp AM, White NJ, White LJ. (2010). The role of mathematical modelling in guiding the science and economics of malaria elimination. International health, 2(4)
Saralamba S, Pan-Ngum W, Maude RJ, Lee SJ, Tarning J, Lindegårdh N, Chotivanich K, Nosten F, Day NP, Socheat D, White NJ, Dondorp AM, White LJ. (2011). Intrahost modeling of artemisinin resistance in Plasmodium falciparum. Proceedings of the National Academy of Sciences of the United States of America, 108(1)
Richard J Maude, Borislava Mihaylova, Marian Warsame, Jan Singlovic, Wirichada Pongtavornpinyo, Sompob Saralamba, Arjen M Dondorp, Nicholas J White, Melba Gomez, Lisa J White. (2010). RECTAL AND INTRAVENOUS ARTESUNATE FOR SEVERE MALARIA: MODELLING THE IMPACT OF ARTEMISININ RESISTANCE. Oxford University Research Archive, 83(5)
Pongtavornpinyo W, Hastings IM, Dondorp A, White LJ, Maude RJ, Saralamba S, Day NP, White NJ, Boni MF. (2009). Probability of emergence of antimalarial resistance in different stages of the parasite life cycle. Evolutionary applications, 2(1)
Maude RJ, Pontavornpinyo W, Saralamba S, Aguas R, Yeung S, Dondorp AM, Day NP, White NJ, White LJ. (2009). The last man standing is the most resistant: eliminating artemisinin-resistant malaria in Cambodia. Malaria journal, (8)
White LJ, Maude RJ, Pongtavornpinyo W, Saralamba S, Aguas R, Van Effelterre T, Day NP, White NJ. (2009). The role of simple mathematical models in malaria elimination strategy design. Malaria journal, (8)
Maude RJ, Pontavornpinyo W, Saralamba S, Dondorp AM, Day NP, White NJ, White LJ. (2009). The role of mathematical modelling in malaria elimination and eradication (Comment on: Can malaria be eliminated?). Transactions of The Royal Society of Tropical Medicine and Hygiene, 103(6)
White NJ, Pongtavornpinyo W, Maude RJ, Saralamba S, Aguas R, Stepniewska K, Lee SJ, Dondorp AM, White LJ, Day NP. (2009). Hyperparasitaemia and low dosing are an important source of anti-malarial drug resistance. Malaria journal, (8)
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