Dengue diversity across spatial and temporal scales: Local structure and the effect of host population size.
Dengue diversity across spatial and temporal scales: Local structure and the effect of host population size.
复制标题
空间和时间尺度之间的登革率多样性:局部结构以及宿主种群规模的影响。
DOI:
10.1126/science.aaj9384
复制
发表时间:
2017-03-24
期刊:
影响因子:
--
通讯作者:
Cummings DA
中科院分区:
文献类型:
--
作者:
Salje H;Lessler J;Maljkovic Berry I;Melendrez MC;Endy T;Kalayanarooj S;A-Nuegoonpipat A;Chanama S;Sangkijporn S;Klungthong C;Thaisomboonsuk B;Nisalak A;Gibbons RV;Iamsirithaworn S;Macareo LR;Yoon IK;Sangarsang A;Jarman RG;Cummings DA
A fundamental mystery for dengue and other infectious pathogens is how observed patterns of cases relate to actual chains of individual transmission events. These pathways are intimately tied to how strains interact and compete across spatial scales. Phylogeographic methods have been used to characterize pathogen dispersal at global and regional scales, but have yielded few insights into the local spatio-temporal structure of endemic transmission. Using geolocated genotype (N=800) and serotype (N=17,291) data, we show that in Bangkok, Thailand, 60% of cases living <200m apart come from the same transmission chain, versus 3% of cases separated by 1–5km. At distances <200m from a case (enclosing an average of 1,300 people in Bangkok) the effective number of chains is 1.7. This increases by 7-fold for each 10-fold increase in enclosed population, whether due to density or increased area; though increases in density over 7,000 people per km2 do not lead to additional chains. Within Thailand these chains quickly mix, and by the next dengue season viral lineages are no longer highly spatially structured within the country. In contrast, viral flow to neighboring countries is limited. These findings are consistent with local, density dependent transmission; and implicate densely populated communities as key sources of viral diversity with home location the focal point of transmission. These findings have important implications for targeted vector control and active surveillance.
登录
查看更多内容
影响因子:
3.7
作者:
Struchiner CJ;Rocklöv J;Wilder-Smith A;Massad E
通讯作者:
Massad E
影响因子:
5.4
作者:
Jarman, Richard G.;Holmes, Edward C.;Endy, Timothy P.
通讯作者:
Endy, Timothy P.
DOI:
10.1126/science.aaf9590
发表时间:
2016-09-02
期刊:
Science (New York, N.Y.)
影响因子:
--
作者:
Ferguson NM;Rodríguez-Barraquer I;Dorigatti I;Mier-Y-Teran-Romero L;Laydon DJ;Cummings DA
通讯作者:
Cummings DA
影响因子:
4.3
作者:
Lemey P;Rambaut A;Drummond AJ;Suchard MA
通讯作者:
Suchard MA
DOI:
10.1073/pnas.1611391113
发表时间:
2016-11-22
影响因子:
11.1
作者:
Salje, Henrik;Lessler, Justin;Cauchemez, Simon
通讯作者:
Cauchemez, Simon