Spatio-Temporal Synchrony of Influenza in Cities across Israel: The "Israel Is One City'' Hypothesis

被引:4
作者
Barnea, Oren [1 ]
Huppert, Amit [2 ]
Katriel, Guy [3 ]
Stone, Lewi [1 ,4 ]
机构
[1] Tel Aviv Univ, Dept Zool, Biomath Unit, Fac Life Sci, IL-69978 Tel Aviv, Israel
[2] Chaim Sheba Med Ctr, Gertner Inst, IL-52621 Tel Hashomer, Israel
[3] ORT Braude Coll, Dept Math, Karmiel, Israel
[4] RMIT Univ, Sch Math & Geospatial Sci, Melbourne, Vic, Australia
来源
PLOS ONE | 2014年 / 9卷 / 03期
基金
欧盟第七框架计划; 以色列科学基金会;
关键词
SEASONAL INFLUENZA; UNITED-STATES; TRANSMISSION; EPIDEMIC; SPREAD; AUSTRALIA; FRANCE; TRENDS;
D O I
10.1371/journal.pone.0091909
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
We analysed an 11-year dataset (1998-2009) of Influenza-Like Illness (ILI) that was based on surveillance of (similar to)23% of Israel's population. We examined whether the level of synchrony of ILI epidemics in Israel's 12 largest cities is high enough to view Israel as a single epidemiological unit. Two methods were developed to assess the synchrony: (1) City-specific attack rates were fitted to a simple model in order to estimate the temporal differences in attack rates and spatial differences in reporting rates of ILI. The model showed good fit to the data (R-2 = 0.76) and revealed considerable differences in reporting rates of ILI in different cities (up to a factor of 2.2). (2) A statistical test was developed to examine the null hypothesis (H0) that ILI incidence curves in two cities are essentially identical, and was tested using ILI data. Upon examining all possible pairs of incidence curves, 77.4% of pairs were found not to be different (H0 was not rejected). It was concluded that all cities generally have the same attack rate and follow the same epidemic curve each season, although the attack rate changes from season to season, providing strong support for the "Israel is one city'' hypothesis. The cities which were the most out of synchronization were Bnei Brak, Beersheba and Haifa, the latter two being geographically remote from all other cities in the dataset and the former geographically very close to several other cities but socially separate due to being populated almost exclusively by ultra-orthodox Jews. Further evidence of assortative mixing of the ultra-orthodox population can be found in the 2001-2002 season, when ultra-orthodox cities and neighborhoods showed distinctly different incidence curves compared to the general population.
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