Measles hotspots and epidemiological connectivity

被引:33
作者
Bharti, N. [1 ,2 ]
Djibo, A. [3 ]
Ferrari, M. J. [2 ]
Grais, R. F. [4 ]
Tatem, A. J. [5 ,6 ]
McCabe, C. A. [7 ,8 ]
Bjornstad, O. N. [2 ,9 ,10 ]
Grenfell, B. T. [2 ,10 ]
机构
[1] Penn State Univ, Dept Biol, Mueller Lab 208, University Pk, PA 16802 USA
[2] Penn State Univ, Ctr Infect Dis Dynam, University Pk, PA 16802 USA
[3] Minist Hlth, Niamey, Niger
[4] Epicentre, Paris, France
[5] Univ Florida, Emerging Pathogens Inst, Gainesville, FL USA
[6] Univ Florida, Dept Geog, Gainesville, FL USA
[7] Penn State Univ, Dept Geog, University Pk, PA 16802 USA
[8] Penn State Univ, GeoVISTA Ctr, University Pk, PA 16802 USA
[9] Penn State Univ, Dept Entomol, University Pk, PA 16802 USA
[10] NIH, Fogarty Int Ctr, Bethesda, MD 20892 USA
基金
美国国家卫生研究院;
关键词
Infectious disease control; infectious disease epidemiology; measles (rubeola); spatial modelling; vaccine-preventable diseases; DYNAMICS; TRANSMISSION; VACCINATION; PERSISTENCE; EPIDEMICS; ENGLAND; IMPACT; WALES; MODEL;
D O I
10.1017/S0950268809991385
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Though largely controlled in developed countries, measles remains a major global public health issue. Regional and local transmission patterns are rooted in human mixing behaviour across spatial scales. Identifying spatial interactions that contribute to recurring epidemics helps define and predict outbreak patterns. Using spatially explicit reported cases from measles outbreaks in Niger, we explored how regional variations in movement and contact patterns relate to patterns of measles incidence. Because we expected to see lower rates of re-introductions in small, compared to large, populations, we measured the population-size corrected proportion of weeks with zero cases across districts to understand relative rates of measles re-introductions. We found that critical elements of spatial disease dynamics in Niger are agricultural seasonality, transnational contact clusters, and roads networks that facilitate host movement and connectivity. These results highlight the need to understand local patterns of seasonality, demographic characteristics, and spatial heterogeneities to inform vaccination policy.
引用
收藏
页码:1308 / 1316
页数:9
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