Melanie H Chitwood, Elizabeth L Corbett, Victor Ndhlovu, Benjamin Sobkowiak, Caroline Colijn, Jason R Andrews, Rachael M Burke, Patrick G T Cudahy, Peter J Dodd, Jeffrey W Imai-Eaton, David M Engelthaler, Megan Folkerts, Helena R A Feasey, Yu Lan, Jen Lewis, Jennifer McNichol, Nicolas A Menzies, Geoffrey Chipungu, Marriott Nliwasa, Daniel M Weinberger, Joshua L Warren, Joshua A Salomon, Peter MacPherson, Ted Cohen
{"title":"马拉维艾滋病毒高发城市结核杆菌的分布和传播:基因组和空间分析。","authors":"Melanie H Chitwood, Elizabeth L Corbett, Victor Ndhlovu, Benjamin Sobkowiak, Caroline Colijn, Jason R Andrews, Rachael M Burke, Patrick G T Cudahy, Peter J Dodd, Jeffrey W Imai-Eaton, David M Engelthaler, Megan Folkerts, Helena R A Feasey, Yu Lan, Jen Lewis, Jennifer McNichol, Nicolas A Menzies, Geoffrey Chipungu, Marriott Nliwasa, Daniel M Weinberger, Joshua L Warren, Joshua A Salomon, Peter MacPherson, Ted Cohen","doi":"10.1371/journal.pgph.0004040","DOIUrl":null,"url":null,"abstract":"<p><p>Delays in identifying and treating individuals with infectious tuberculosis (TB) contribute to poor health outcomes and allow ongoing community transmission of M. tuberculosis (Mtb). Current recommendations for screening for tuberculosis specify community characteristics (e.g., areas with high local tuberculosis prevalence) that can be used to target screening within the general population. However, areas of higher tuberculosis burden are not necessarily areas with higher rates of transmission. We investigated the transmission of Mtb using high-resolution surveillance data in Blantyre, Malawi. We extracted and performed whole genome sequencing on mycobacterial DNA from cultured M. tuberculosis isolates obtained from culture-positive tuberculosis cases at the time of tuberculosis (TB) notification in Blantyre, Malawi between 2015-2019. We constructed putative transmission networks identified using TransPhylo and investigated individual and pair-wise demographic, clinical, and spatial factors associated with person-to-person transmission. We found that 56% of individuals with sequenced isolates had a probable transmission link to at least one other individual in the study. We identified thirteen putative transmission networks that included five or more individuals. Five of these networks had a single spatial focus of transmission in the city, and each focus centered in a distinct neighborhood in the city. We also found that approximately two-thirds of inferred transmission links occurred between individuals residing in different geographic zones of the city. While the majority of detected tuberculosis transmission events in Blantyre occurred between people living in different zones, there was evidence of distinct geographical concentration for five transmission networks. These findings suggest that targeted interventions in areas with evidence of localized transmission may be an effective local tactic, but will likely need to be augmented by city-wide interventions to improve case finding to have sustained impact.</p>","PeriodicalId":74466,"journal":{"name":"PLOS global public health","volume":"5 4","pages":"e0004040"},"PeriodicalIF":0.0000,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11964229/pdf/","citationCount":"0","resultStr":"{\"title\":\"Distribution and transmission of M. tuberculosis in a high-HIV prevalence city in Malawi: A genomic and spatial analysis.\",\"authors\":\"Melanie H Chitwood, Elizabeth L Corbett, Victor Ndhlovu, Benjamin Sobkowiak, Caroline Colijn, Jason R Andrews, Rachael M Burke, Patrick G T Cudahy, Peter J Dodd, Jeffrey W Imai-Eaton, David M Engelthaler, Megan Folkerts, Helena R A Feasey, Yu Lan, Jen Lewis, Jennifer McNichol, Nicolas A Menzies, Geoffrey Chipungu, Marriott Nliwasa, Daniel M Weinberger, Joshua L Warren, Joshua A Salomon, Peter MacPherson, Ted Cohen\",\"doi\":\"10.1371/journal.pgph.0004040\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Delays in identifying and treating individuals with infectious tuberculosis (TB) contribute to poor health outcomes and allow ongoing community transmission of M. tuberculosis (Mtb). Current recommendations for screening for tuberculosis specify community characteristics (e.g., areas with high local tuberculosis prevalence) that can be used to target screening within the general population. However, areas of higher tuberculosis burden are not necessarily areas with higher rates of transmission. We investigated the transmission of Mtb using high-resolution surveillance data in Blantyre, Malawi. We extracted and performed whole genome sequencing on mycobacterial DNA from cultured M. tuberculosis isolates obtained from culture-positive tuberculosis cases at the time of tuberculosis (TB) notification in Blantyre, Malawi between 2015-2019. We constructed putative transmission networks identified using TransPhylo and investigated individual and pair-wise demographic, clinical, and spatial factors associated with person-to-person transmission. We found that 56% of individuals with sequenced isolates had a probable transmission link to at least one other individual in the study. We identified thirteen putative transmission networks that included five or more individuals. Five of these networks had a single spatial focus of transmission in the city, and each focus centered in a distinct neighborhood in the city. We also found that approximately two-thirds of inferred transmission links occurred between individuals residing in different geographic zones of the city. While the majority of detected tuberculosis transmission events in Blantyre occurred between people living in different zones, there was evidence of distinct geographical concentration for five transmission networks. These findings suggest that targeted interventions in areas with evidence of localized transmission may be an effective local tactic, but will likely need to be augmented by city-wide interventions to improve case finding to have sustained impact.</p>\",\"PeriodicalId\":74466,\"journal\":{\"name\":\"PLOS global public health\",\"volume\":\"5 4\",\"pages\":\"e0004040\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-04-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11964229/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"PLOS global public health\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1371/journal.pgph.0004040\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"PLOS global public health","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1371/journal.pgph.0004040","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
Distribution and transmission of M. tuberculosis in a high-HIV prevalence city in Malawi: A genomic and spatial analysis.
Delays in identifying and treating individuals with infectious tuberculosis (TB) contribute to poor health outcomes and allow ongoing community transmission of M. tuberculosis (Mtb). Current recommendations for screening for tuberculosis specify community characteristics (e.g., areas with high local tuberculosis prevalence) that can be used to target screening within the general population. However, areas of higher tuberculosis burden are not necessarily areas with higher rates of transmission. We investigated the transmission of Mtb using high-resolution surveillance data in Blantyre, Malawi. We extracted and performed whole genome sequencing on mycobacterial DNA from cultured M. tuberculosis isolates obtained from culture-positive tuberculosis cases at the time of tuberculosis (TB) notification in Blantyre, Malawi between 2015-2019. We constructed putative transmission networks identified using TransPhylo and investigated individual and pair-wise demographic, clinical, and spatial factors associated with person-to-person transmission. We found that 56% of individuals with sequenced isolates had a probable transmission link to at least one other individual in the study. We identified thirteen putative transmission networks that included five or more individuals. Five of these networks had a single spatial focus of transmission in the city, and each focus centered in a distinct neighborhood in the city. We also found that approximately two-thirds of inferred transmission links occurred between individuals residing in different geographic zones of the city. While the majority of detected tuberculosis transmission events in Blantyre occurred between people living in different zones, there was evidence of distinct geographical concentration for five transmission networks. These findings suggest that targeted interventions in areas with evidence of localized transmission may be an effective local tactic, but will likely need to be augmented by city-wide interventions to improve case finding to have sustained impact.