OJPHI: Vol. 5
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Journal ID (publisher-id): OJPHI
ISSN: 1947-2579
Publisher: University of Illinois at Chicago Library
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©2013 the author(s)
open-access: This is an Open Access article. Authors own copyright of their articles appearing in the Online Journal of Public Health Informatics. Readers may copy articles without permission of the copyright owner(s), as long as the author and OJPHI are acknowledged in the copy and the copy is used for educational, not-for-profit purposes.
Electronic publication date: Day: 4 Month: 4 Year: 2013
collection publication date: Year: 2013
Volume: 5E-location ID: e140
Publisher Id: ojphi-05-140

Selecting Targeted Symptoms/Syndromes for Syndromic Surveillance in Rural China
Li Tan1
Jie Zhang1
Liwei Cheng1
Weirong Yan12
Vinod K. Diwan2
Lu Long1
Shaofa Nie*1
1Tongji Medical College, Wuhan City, China;
2Karolinska Institutet, Stockholm, Sweden
*Shaofa Nie, E-mail: sf_nie@mails.tjmu.edu.cn


To select the potential targeted symptoms/syndromes as early warning indicators for epidemics or outbreaks detection in rural China.


Patients’ chief complaints (CCs) as a common data source, has been widely used in syndromic surveillance due to its timeliness, accuracy and availability (1). For automated syndromic surveillance, CCs always classified into predefined syndromic categories to facilitate subsequent data aggregation and analysis. However, in rural China, most outpatient doctors recorded the information of patients (e.g. CCs) into clinic logs manually rather than computers. Thus, more convenient surveillance method is needed in the syndromic surveillance project (ISSC). And the first and important thing is to select the targeted symptoms/syndromes.


Epidemiological analysis was conducted on data from case report system in Jingmen City (one study site in ISSC) from 2004 to 2009. Initial symptoms/syndromes were selected by literature reviews. And finally expert consultation meetings, workshops and field investigation were held to confirm the targeted symptoms/syndromes.


10 kinds of infectious diseases, 6 categories of emergencies, and 4 bioterrorism events (i.e. plague, anthrax, botulism and hemorrhagic fever) were chose as specific diseases/events for monitoring (Table 1). Two surveillance schemes were developed by reviewing on 565 literatures about clinical conditions of specific diseases/events and 14 literatures about CCs based syndromic surveillance. The former one was to monitor symptoms (19 initial symptoms), and then aggregation or analysis on single or combined symptom(s); and the other one was to monitor syndromes (9 initial syndromes) directly (Table 2). The consultation meeting and field investigation identified three issues which should be considered: 1) the abilities of doctors especially village doctors to understand the definitions of symptoms/syndromes; 2) the workload of data collection; 3) the sensitive and specific of each symptom/syndrome. Finally, Scheme 1 was used and 10 targeted symptoms were determined (Table 2).


We should take the simple, stability and feasibility of operation, and also the local conditions into account before establishing a surveillance system. Symptoms were more suitable for monitoring compared to syndromes in resource-poor settings. Further evaluated and validated would be conducted during implementation. Our study might provide methods and evidences for other developing countries with limited conditions in using automated syndromic surveillance system, to construct similar early warning system.


This study was funded by [European Union’s] [European Atomic Energy Community’s] Seventh Framework Programme ([FP7/2007-2013] [FP7/2007-2011]) under grant agreement no. [241900].

1.. Chapman WW, Dowling JN, Wagner MM. Generating a reliable reference standard set for syndromic case classificationJ Am Med Inform Assoc 2005;12:618–29.

[TableWrap ID: t1-ojphi-05-140] Table 1 

Epidemiological analysis on cases and emergencies data

Respiratory cases Gastrointestinal cases Emergencies
Name % Name % Name Events (No.)
*Pulmonary tuberculosis 82.38 Hand-foot-mouth diseases 41.73 A(H1N1) 10
Mumps 9.14 Bacillary dysentery 28.56 Mumps 5
Measles 3.35 Hepatitis A 15.36 Hand-foot-mouth diseases 1
Varicella 2.00 Infectious diarrhea 6.58 Bacillary dysentery 1
Influenza/A(H1N1) 1.79 Hepatitis E 4.30 Food poisoning 2
Rubella 0.72 Typhoid 3.03 Unknown reason dermatitis 1
Scarlet fever 0.44 Paratyphoid 0.22
Pertussis 0.15 Amebic dysentery 0.22
Meningococcal meningitis 0.03
Total 100.00 Total 100.00 Total 20

*Chronic infectious diseases (excluded).

Selected specific diseases (top 5) or events (non-infectious excluded).

[TableWrap ID: t2-ojphi-05-140] Table 2 

List of symptoms/syndromes

*Scheme 1 **Scheme 2
No. Symptoms No. Symptoms No. Syndromes
1 Abdominal pain 11 Headache 1 Coma/sudden death
2 Bone/muscle/joint Pain 12 Hematochezia 2 Fever
3 Chills 13 Jaundice 3 Gastrointestinal
4 Conjunctival hyperemia 14 Mucocutaneous hemorrhage 4 Hemorrhagic
5 Convulsion 15 Nasal congestion/Rhinorrhea 5 Influenza like illness
6 Cough 16 Nausea/Vomitting 6 Neurological
7 Diarrhea 17 Rach 7 Rash
8 Disturbance of consciousness 18 Sore throat 8 Respiratory
9 Fatigue 19 Tenesmus
10 Fever

*The incidence of symptom was >= 20% of specific disease(s)/event(s).

**The number of times of syndromes monitored was >= 4 times. Asthma (4 times) and diarrhea (5 times) were excluded due to study objectives.

Final targeted symptoms.

Article Categories:
  • ISDS 2012 Conference Abstracts

Keywords: Syndromic surveillance, Chief complaint, Early warning.

Online Journal of Public Health Informatics * ISSN 1947-2579 * http://ojphi.org