Mapping malaria by combining parasite genomic and epidemiologic data.
Mapping malaria by combining parasite genomic and epidemiologic data.
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DOI：
10.1186/s12916-018-1181-9
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发表时间：
2018-10-18
期刊：
影响因子：
9.3
通讯作者：
Buckee CO
中科院分区：
文献类型：
--
作者：
Wesolowski A;Taylor AR;Chang HH;Verity R;Tessema S;Bailey JA;Alex Perkins T;Neafsey DE;Greenhouse B;Buckee CO
最近全球在扩大疟疾控制干预措施方面取得的进展，使许多国家重新提出了彻底消灭疟疾的目标。传播强度的降低通常会导致消灭环境中疟疾传播的空间模式越来越不均匀，控制方案必须准确地确定剩余的疫源地，以便有效地采取有针对性的干预措施。由于人类能够将寄生虫传播到蚊子传播的极限之外，从而将寄生虫重新引入到以前没有疟疾的地区，因此随着消灭计划的临近，不同地方传播口袋之间的连通性的作用越来越重要。在这里，我们讨论了在减少传播干预措施的背景下，疟疾，特别是恶性疟原虫的空间流行病学量化的最新进展。此外，我们强调的挑战和有前途的方向，开发集成的映射，建模和基因组方法，利用不同的数据集来衡量连接和传输。将寄生虫遗传学与流行病学建模和绘图相结合，可以更全面地了解疟疾的空间传播。然而，额外的分子和定量方法是必要的，以回答这些公共卫生相关的问题。
Recent global progress in scaling up malaria control interventions has revived the goal of complete elimination in many countries. Decreasing transmission intensity generally leads to increasingly patchy spatial patterns of malaria transmission in elimination settings, with control programs having to accurately identify remaining foci in order to efficiently target interventions. The role of connectivity between different pockets of local transmission is of increasing importance as programs near elimination since humans are able to transfer parasites beyond the limits of mosquito dispersal, thus re-introducing parasites to previously malaria-free regions. Here, we discuss recent advances in the quantification of spatial epidemiology of malaria, particularly Plasmodium falciparum, in the context of transmission reduction interventions. Further, we highlight the challenges and promising directions for the development of integrated mapping, modeling, and genomic approaches that leverage disparate datasets to measure both connectivity and transmission. A more comprehensive understanding of the spatial transmission of malaria can be gained using a combination of parasite genetics and epidemiological modeling and mapping. However, additional molecular and quantitative methods are necessary to answer these public health-related questions.
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DOI：
10.1093/infdis/jiy223
发表时间：
2018-08-14
期刊：
The Journal of infectious diseases
影响因子：
--
作者：
Aydemir O;Janko M;Hathaway NJ;Verity R;Mwandagalirwa MK;Tshefu AK;Tessema SK;Marsh PW;Tran A;Reimonn T;Ghani AC;Ghansah A;Juliano JJ;Greenhouse BR;Emch M;Meshnick SR;Bailey JA
通讯作者：
Bailey JA
影响因子：
16.6
作者：
Larremore DB;Sundararaman SA;Liu W;Proto WR;Clauset A;Loy DE;Speede S;Plenderleith LJ;Sharp PM;Hahn BH;Rayner JC;Buckee CO
通讯作者：
Buckee CO
影响因子：
3.8
作者：
Frost, Simon D. W.;Pybus, Oliver G.;Bedford, Trevor
通讯作者：
Bedford, Trevor
影响因子：
1.5
作者：
Kumar, Shiva;Mudeppa, Devaraja G.;Rathod, Pradipsinh K.
通讯作者：
Rathod, Pradipsinh K.
影响因子：
--
作者：
Omedo, Irene;Mogeni, Polycarp;Bejon, Philip
通讯作者：
Bejon, Philip