| Reconstructing the course of the COVID-19 epidemic over 2020 for US states and counties: results of a Bayesian evidence synthesis model MH Chitwood, M Russi, K Gunasekera, J Havumaki, F Klaassen, ... PLOS Computational Biology 18 (8), e1010465, 2022 | 32 | 2022 |
| Development of a treatment-decision algorithm for human immunodeficiency virus–uninfected children evaluated for pulmonary tuberculosis KS Gunasekera, E Walters, MM van der Zalm, M Palmer, JL Warren, ... Clinical Infectious Diseases 73 (4), e904-e912, 2021 | 31 | 2021 |
| Phylogeography and transmission of M. tuberculosis in Moldova: A prospective genomic analysis C Yang, B Sobkowiak, V Naidu, A Codreanu, N Ciobanu, KS Gunasekera, ... PLoS Medicine 19 (2), e1003933, 2022 | 28 | 2022 |
| Bayesian nowcasting with adjustment for delayed and incomplete reporting to estimate COVID-19 infections in the United States MH Chitwood, M Russi, K Gunasekera, J Havumaki, F Klaassen, ... | 18 | 2020 |
| Smoking and HIV associated with subclinical tuberculosis: analysis of a population-based prevalence survey K Gunasekera, T Cohen, W Gao, H Ayles, P Godfrey-Faussett, ... The International Journal of Tuberculosis and Lung Disease 24 (3), 340-346, 2020 | 17 | 2020 |
| Diagnostic challenges in childhood pulmonary tuberculosis—optimizing the clinical approach KS Gunasekera, B Vonasek, J Oliwa, R Triasih, C Lancioni, SM Graham, ... Pathogens 11 (4), 382, 2022 | 15 | 2022 |
| The diagnostic accuracy of chest radiographic features for pediatric intrathoracic tuberculosis M Palmer, KS Gunasekera, MM van der Zalm, J Morrison, ... Clinical Infectious Diseases 75 (6), 1014-1021, 2022 | 9 | 2022 |
| Development of treatment-decision algorithms for children evaluated for pulmonary tuberculosis: an individual participant data meta-analysis KS Gunasekera, O Marcy, J Muñoz, E Lopez-Varela, MP Sekadde, ... The Lancet Child & Adolescent Health 7 (5), 336-346, 2023 | 8 | 2023 |
| Children as sentinels of tuberculosis transmission: disease mapping of programmatic data KS Gunasekera, J Zelner, MC Becerra, C Contreras, MF Franke, L Lecca, ... BMC medicine 18, 1-7, 2020 | 5 | 2020 |
| Predicting resistance to fluoroquinolones among patients with rifampicin-resistant tuberculosis using machine learning methods S You, MH Chitwood, KS Gunasekera, V Crudu, A Codreanu, N Ciobanu, ... PLOS digital health 1 (6), e0000059, 2022 | 3 | 2022 |
| Phylogeography and transmission of M. tuberculosis in Moldova C Yang, B Sobkowiak, V Naidu, A Codreanu, N Ciobanu, KS Gunasekera, ... medRxiv, 2021.06. 30.21259748, 2021 | 3 | 2021 |
| Development and validation of treatment-decision algorithms for children evaluated for pulmonary tuberculosis: an individual participant data meta-analysis KS Gunasekera, O Marcy, J Muñoz, E Lopez-Varela, MP Sekadde, ... medRxiv, 2022.09. 13.22279911, 2022 | 1 | 2022 |
| Bayesian nowcasting with adjustment for delayed and incomplete reporting to estimate COVID-19 infections in the United States (preprint) MH Chitwood, M Russi, K Gunasekera, J Havumaki, VE Pitzer, JL Warren, ... | 1 | 2020 |
| Spatial and Prediction Models for Addressing Challenges in Pediatric Tuberculosis Control and Care KS Gunasekera Yale University, 2022 | | 2022 |
| PICO 2a: Integrated treatment decision algorithms for children with presumptive TB aged below 10 years KS Gunasekera, T Cohen, JA Seddon WHO consolidated guidelines on tuberculosis, 1, 2022 | | 2022 |
| Web Annex 4 Summaries of unpublished studies KS Gunasekera, T Cohen, JA Seddon | | |
