Precise identification of HIV transmission among populations is a key step in public health responses.However,the HIV transmission network is usually difficult to determine.HIV molecular networks can be determined by ...Precise identification of HIV transmission among populations is a key step in public health responses.However,the HIV transmission network is usually difficult to determine.HIV molecular networks can be determined by phylogenetic approach,genetic distance-based approach,and a combination of both approaches.These approaches are increasingly used to identify transmission networks among populations,reconstruct the history of HIV spread,monitor the dynamics of HIV transmission,guide targeted intervention on key subpopulations,and assess the effects of interventions.Simulation and retrospective studies have demonstrated that these molecular network-based interventions are more cost-effective than random or traditional interventions.However,we still need to address several challenges to improve the practice of molecular network-guided targeting interventions to finally end the HIV epidemic.The data remain limited or difficult to obtain,and more automatic real-time tools are required.In addition,molecular and social networks must be combined,and technical parameters and ethnic issues warrant further studies.展开更多
基金This work was supported in part by the Mega-Projects of the National Science Research for the 13th Five-Year Plan(No.2017ZX10201101),Innovation Team Development Program of the Ministry of Education(No.IRT_16R70)the National Natural Science Foundation of China(No.81871637)Central Publicinterest Scientific Institution Basal Research Fund(No.2018PT31042).
文摘Precise identification of HIV transmission among populations is a key step in public health responses.However,the HIV transmission network is usually difficult to determine.HIV molecular networks can be determined by phylogenetic approach,genetic distance-based approach,and a combination of both approaches.These approaches are increasingly used to identify transmission networks among populations,reconstruct the history of HIV spread,monitor the dynamics of HIV transmission,guide targeted intervention on key subpopulations,and assess the effects of interventions.Simulation and retrospective studies have demonstrated that these molecular network-based interventions are more cost-effective than random or traditional interventions.However,we still need to address several challenges to improve the practice of molecular network-guided targeting interventions to finally end the HIV epidemic.The data remain limited or difficult to obtain,and more automatic real-time tools are required.In addition,molecular and social networks must be combined,and technical parameters and ethnic issues warrant further studies.
