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Source identification through social networks in an epidemiological investigation of a hepatitis A outbreak at an elementary school in Anhui province, China

Published online by Cambridge University Press:  19 September 2013

J. B. WU
Affiliation:
Center for Disease Control and Prevention of Anhui Province, Hefei, China
X. L. LI
Affiliation:
Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China
J. ZHANG
Affiliation:
Center for Disease Control and Prevention of Anhui Province, Hefei, China
D. XU
Affiliation:
Center for Disease Control and Prevention of Anhui Province, Hefei, China
J. J. ZHU
Affiliation:
Center for Disease Control and Prevention of MengCheng County, Anhui Province, Bozhou, China
B. S. ZHOU*
Affiliation:
Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China
*
* Author for correspondence: DrB. S. Zhou, Department of Epidemiology, School of Public Health, China Medical University, No.92 Beier Road, Heping District, Shenyang, Liaoning province, PR China, 110001. (Email: bszhou@mail.cmu.edu.cn)
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Summary

In May 2011, the Center for Disease Control and Prevention of a Chinese county found a rapid increase in the number of hepatitis A case notification; these were traced to an outbreak in an elementary school. Twenty-eight cases aged between 7 and 13 years with onset between 7 May and 8 June were serologically confirmed. Network method was conducted to reconstruct an outbreak network and to quantify the relative importance of those involved in the outbreak. A case-control study was used to study the association between the outbreak and putative risk factors. The network analysis suggested this was a disseminated outbreak originating from a 4-year-old boy with propagated spread. Evidence from the case-control study supported consumption of well water as a potential risk factor; however, this was unable to be established through field investigation. Outbreak networks can be used to identify the possible source of infectious disease outbreak, especially when the environmental investigation information is negative or not available.

Information

Type
Original Papers
Copyright
Copyright © Cambridge University Press 2013 
Figure 0

Table 1. Symptoms of hepatitis A for cases, Anhui province, China, 2011

Figure 1

Table 2. Attack rate by grade, class and sex in hepatitis A outbreak, Anhui province, China, 2011

Figure 2

Table 3. Case numbers and incidence rate of hepatitis A in county M (1991–2010)

Figure 3

Fig. 1. Network diagram of hepatitis A outbreak in an elementary school, Anhui province. Different-sized circles indicate (from large to small) boy A (red), the three primary cases before the outbreak (yellow), the outbreak cases (purple), controls (grey) and close contacts of the cases (green), respectively. Numbers in the circles indicate the number of days since onset of symptoms for boy A. The large pink arrow indicates the most likely source case suggested by the network structure. Heavy lines indicate links between clinical cases; light lines connect cases and their close contacts, e.g. family members, classmates or friends.

Figure 4

Fig. 2. Date of illness onset for hepatitis A cases (n = 32), in an elementary school, Anhui province, March–June 2011. The red bar indicates boy A, who had symptom onset on 10 March; green bars indicate the three primary cases that were found by the network investigation; the blue bars indicate cases identified during the outbreak. The dates are the onset dates of the four previous cases.

Figure 5

Table 4. Results of the univariate analysis (n = 84)

Figure 6

Table 5. Results of the multivariate analysis (n = 84)