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1. Accelerating Progress Towards the 2030 Neglected Tropical Diseases Targets: How Can Quantitative Modeling Support Programmatic Decisions?

2. Testing and treatment for malaria elimination: a systematic review.

7. Predicted Impact of COVID-19 on Neglected Tropical Disease Programs and the Opportunity for Innovation

12. Evaluating and mitigating the potential indirect effect of COVID-19 on control programmes for seven neglected tropical diseases: a modelling study

13. Accelerating Progress Towards the 2030 Neglected Tropical Diseases Targets: How Can Quantitative Modeling Support Programmatic Decisions?

16. Field evaluation of a volatile pyrethroid spatial repellent and etofenprox-treated clothing for outdoor protection against forest malaria vectors in Cambodia

22. Attacking the mosquito on multiple fronts: Insights from the Vector Control Optimization Model (VCOM) for malaria elimination

24. Food-borne Trematodiases in East Asia: Epidemiology and Burden

29. AnophelesModel: An R package to interface mosquito bionomics, human exposure and intervention effects with models of malaria intervention impact

32. Investigation of Optimized Observation Periods for Estimating a Representative Home Range of Free-Roaming Domestic Dogs

34. The potential effect of improved provision of rabies post-exposure prophylaxis in Gavi-eligible countries: a modelling study

35. Treatment outcome in an SI model with evolutionary resistance: a Darwinian model for the evolution of resistance.

36. Inference for entomological semi-field experiments: Fitting a mathematical model assessing personal and community protection of vector-control interventions

41. Do Cryptic Reservoirs Threaten Gambiense-Sleeping Sickness Elimination?

42. A randomized, double-blind placebo-control study assessing the protective efficacy of an odour-based ‘push-pull’ malaria vector control strategy in reducing human-vector contact

48. Evaluating and mitigating the potential indirect effect of COVID-19 on control programmes for seven neglected tropical diseases: a modelling study

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