A

Abramsky, T and Harvey, S (2020). MAISHA Cluster Randomised Trial - Couples Survey Data. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001773.

Abramsky, T and Harvey, S (2020). MAISHA Cluster Randomised Trial - Primary Analysis Dataset. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001775.

Avan, B (2017). Community Base Newborn Care Evaluation, Ethiopia 2013-2017 - Woman's Development Army Survey Data. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom.

Avan, B and Berhanu, D (2017). Community Base Newborn Care Evaluation, Ethiopia 2013-2017 - Contextual. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom.

Avan, B and Berhanu, D (2017). Community Base Newborn Care Evaluation, Ethiopia 2013-2017 - Health Centre Survey Data. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001445.

Avan, B and Berhanu, D (2017). Community Base Newborn Care Evaluation, Ethiopia 2013-2017 - Health Post and Health Extension Work Survey Data. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom.

Avan, B and Berhanu, D (2017). Community Base Newborn Care Evaluation, Ethiopia 2013-2017 - Household Survey Data. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001112.

B

Berhanu, D, Meknonen, Y and Tadesse, N (2015). IDEAS project - Community based newborn care evaluation, midline qualitative study. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00000762.

Berhanu, D and Tadesse, S (2012). IDEAS project - Feasibility study for a Data Informed Platform for Health in Ethiopia. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.171.

Buller, AM, Howard-Merrill, L, Pichon, M, Sono, R, Gimunta, V, Rutenge, O, Ally, H, Kori, V, Lucas, J, Tibesigwa, E and Vuri, V (2024). Longitudinal in-depth interview data with adolescent girls and their caregivers evaluating a radio drama aimed at changing the social norms driving age-disparate transactional sex in Tanzania. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00003750.

C

Chuengsatiansup, K, Chawraingern, S, Limsawart, W, Urapeepathanapong, T, Chanchamsang, U and Chandler, C (2021). Anti-microbials in Society - Thailand, Study 2, 2017-2021. [Data Collection]. UK Data Service, Colchester, Essex, United Kingdom. https://doi.org/10.5255/UKDA-SN-855072

G

Gautham, M, Bhattacharyya, S and Shrivastava, A (2013). IDEAS project - Data Informed Platform for Health feasibility study in Uttar Pradesh. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.133.

Greener, R, Lewis, D, Reades, J, Miles, S and Cummins, S (2022). Software and results for: Incorporating social norms into a configurable agent-based model of commuting behaviour. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.4916753

Grollman, C, Arregoces, L, Pitt, C, Borghi, J, Martinez-Alvarez, M, Powell-Jackson, T, Hsu, J and Greco, G (2017). Countdown ODA+ Dataset. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.127.

N

Naiga, S, Nabirye, C, Kayendeke, M and Chandler, C (2021). Anti-Microbials in Society - Uganda Study, 2017-2021. [Data Collection]. UK Data Service, Colchester, Essex. https://dx.doi.org/10.5255/UKDA-SN-854612

P

Powell-Jackson, T, Fardousi, N, da Silva, E, Kovacs, R, Borghi, J, Barreto, J, Søren, K, Sampaio, J, Shimizu, HE, Gomes, L, Letícia, X and Garibaldi, G (2022). Supporting files for: Performance bonuses and the quality of primary health care delivered by family health teams in Brazil: A difference-in differences analysis. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002886.

S

Sabot, K (2018). IDEAS project - Professional advice network study in Ethiopia. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00000821.

Schellenberg, J (2016). IDEAS - Informed Decisions for Actions in Maternal and Newborn Health: Phase 1. [Project]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.108.

Soremekun, S (2022). inSCALE Uganda Impact Evaluation Dataset. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002559.

Sringernyuang, L, Whanpuch, P, Poompruek, P and Chandler, C (2021). Anti-microbials In Society - Thailand, Study 1, 2017-2021. [Data Collection]. UK Data Service, Colchester, Essex, United Kingdom. https://doi.org/10.5255/UKDA-SN-855071

T

Thompson, J (2020). Comparison of small-sample standard-error corrections for generalised estimating equations in stepped wedge cluster randomised trials with a binary outcome: A simulation study. [Data Collection]. Zenodo. https://zenodo.org/10.5281/zenodo.4049828

V

VanHoek, A (2017). Economic evaluation of HIV-exposure Prophylaxis among men who have sex with men in England: Supplementary material. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/PUBS.04433707

W

Wickremasinghe, D (2019). IDEAS - Informed Decisions for Actions in maternal and newborn health: Phase 2. [Project]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001144.

Wickremasinghe, D (2018). IDEAS Phase 2 project – Village Health Worker Scheme sustainability study in Gombe State, Nigeria: Protocol and topic guides. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001503.