Bulletin of the World Health Organization

Use of mobile phones in an emergency reporting system for infectious disease surveillance after the Sichuan earthquake in China

Changhong Yang a, Jun Yang a, Xiangshu Luo b & Peng Gong a

a. State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications, Chinese Academy of Sciences and Beijing Normal University, Beijing, 100101, China.
b. Sichuan Center for Disease Control and Prevention, Chengdu, China.

Correspondence to Jun Yang (e-mail: larix001@gmail.com).

(Submitted: 31 October 2008 – Revised version received: 26 February 2009 – Accepted: 03 March 2009.)

Bulletin of the World Health Organization 2009;87:619-623. doi: 10.2471/BLT.08.060905

Introduction

Infectious diseases in developing countries are common in populations displaced by natural disasters.1 Outbreaks of diarrhoeal disease after the flooding in Bangladesh in 2004 and in Pakistan after the 2005 earthquake attest to this.2,3 A functional infectious disease surveillance system in the disaster-hit area is crucial for reducing the risk of epidemics.1 Such a system, however, is often either nonexistent or damaged by the disaster itself.

On 12 May 2008, an earthquake with a magnitude of 8.0 struck the north-western part of Sichuan province, China. More than 80 000 people were killed and 5 million more became homeless. One urgent issue after the earthquake was the detection of occurrences of epidemic-prone diseases so that quick action could be taken to prevent outbreaks. Before the earthquake, the local health-care agencies were required to report 38 types of infectious diseases, as mandated by the law on prevention and treatment of infectious diseases, through the Chinese information system for disease control and prevention (CISDCP) to a national database.4 In Sichuan, this electronic disease surveillance system has been set up in all townships since 2004 using dial-up or broadband internet connections. The earthquake paralysed the system in those areas. While working to repair the landline-based reporting system, the Chinese Center for Disease Control and Prevention (China CDC) developed an emergency reporting system based on mobile phones. This paper describes that system and the lessons learned from the utilization of mobile phones for infectious disease surveillance after the catastrophic earthquake.

Methods

The mobile phone emergency reporting system was set up by China CDC and the local CDC offices in five steps: (i) selecting mobile phones and the network supplier; (ii) developing a reporting system to run on mobile phones; (iii) identifying places where the mobile phones would be needed; (iv) distributing the mobile phones and providing onsite training; and (v) applying quality control measures.

China CDC immediately secured a donation of light-powered mobile phones (A6000 model; GSM/GPRS duel bands) from Hi-Tech Wealth, a domestic mobile phone manufacturer. This model is recharged through a crystalline silicon solar panel embedded into the shell of the phone. China Mobile was selected as the network supplier because of its extensive coverage in the disaster zones.

China CDC developed a reporting system based on the short messaging system (known as SMS or text messaging) and covering the same 38 infectious diseases reported in CISDCP. An epidemiologist in the field can input 16 categories of information about a case, including the name of patient, age, diagnosis, time and location, into a form. Except for names of patients, all data are input as numerical codes, using the same codes for CISDCP. Information on each case is then sent as an encrypted text message to the national database. It takes approximately 2–3 minutes for a trained person to report a case. The reported data are analysed by China CDC and displayed on digital maps in real time.

The local CDC offices singled out health agencies in regions where the intensity of the earthquake was more than seven and the reports could not be transmitted via the normal route. The mobile phones were delivered to those agencies by staff from the local CDC offices and epidemiologists in those agencies were trained to use the reporting system.

A quality control system was in place to ensure the quality of data. When a doctor encountered a patient with an infectious disease in the field, he/she would fill out a paper form. The paper records in the township or relocation camp were collected and verified by an epidemiologist. The epidemiologist then sent the information through the mobile phone reporting system to the national database. The CDC offices at the county level would check the data received and ask for changes if the data were incomplete or errors were found. The CDC offices at the city and province level took regular random samples from the reported cases and verified the doctors’ records.

The SMS programme was developed, tested and loaded into all phones in 3 days. By 18 May, 6 days after the earthquake, the first batch of mobile phones was distributed to the health-care agencies in the hardest-hit areas. A total of 560 mobile phones were sent to Sichuan by China CDC; 495 phones were handed out to local health-care agencies; the remaining phones were reserved for replacing any lost or malfunctioning units. Health-care agencies in townships and temporary clinics set up in relocation camps received 423 phones. They were primary targets because they could not restore the regular reporting system as quickly as their counterparts at the county level. The distribution of those phones is shown in Fig. 1. On 22 May, the first case of infectious disease reported through the mobile phone system was received by China CDC in Beijing.

Fig. 1. Map showing the intensity levels of the earthquake and the distribution of mobile phones in 14 selected counties, Sichuan, China, May 2008

Estimated number of people impacted by the earthquake, number of mobile phones distributed in parentheses.

Results

Health-care agencies that received mobile phones regained the ability to report cases of infectious diseases to the national database in a short time (Table 1). Immediately after the earthquake, a sharp decline can be seen both in the number of cases reported and the number of reporting agencies that filed reports. Those numbers quickly rebounded to the previously recorded levels after the delivery of mobile phones. The mobile phone reporting system was used most intensively in the first 2 months after the earthquake. Compared to the average number of cases reported in the same period in 2005–2007, the cases reported after the earthquake decreased by 17.8%. However, the number of health-care agencies that filed reports remained the same.

Before the earthquake, the average reporting delay was 0.72 hours for infectious diseases classified as Class A and 11.5 hours for Class B and Class C infectious diseases. After the earthquake, no Class A infectious diseases were reported; the average reporting delays for Class B and Class C infectious diseases was between 12 and 24 hours, less than the 24 hours that is required by the law. There was a significant increase in the occurrence of diarrhoeal diseases when compared to reports filed before the earthquake. No significant differences were identified for other diseases.

Discussion

The result indicates that the mobile phone reporting system helped restore the reporting capacity of health-care agencies in earthquake-affected areas. The drop in the number of cases reported might have been caused by two factors: (i) the rate of unreported cases increased because doctors were flooded with patients after the earthquake. A quality check applied in four counties found out that the average rate of unreported cases after the earthquake was 6.7% higher than the rate before the earthquake; (ii) the occurrence of infectious disease in some areas was possibly lower than in past years due to the stringent disease prevention and control measures adopted by Chinese authorities after the earthquake.

The system met the designer’s goals in several ways. First, the system is easy to navigate; the average time needed for training a health worker to run the system on a mobile phone was less than half an hour. Second, the network coverage for mobile phones in China is extensive; China mobile, the largest network supplier in China, can reach 97% of the Chinese population. The mobile phone service in earthquake-affected areas was restored within 2 days after the earthquake. Finally, the mobility of this system allows health workers to move with relocated people and continue to report cases of diseases.

The mobile phone, with its low cost and universal availability, has been recognized as an important piece of communication technology in health care, especially in telemedicine.5 However, published studies on using mobile phones in disease surveillance are still limited. In Uganda, an international, non-profit organization, AED-SATELLIFE, is testing a disease surveillance reporting system based on mobile phones.6 In Peru, the Naval Medical Research Center Detachment of the United States of America has included mobile phones as part of its electronic disease surveillance system (Alerta) since 2002.7 In the Islamic Republic of Iran, mobile phones are used in a communicable disease surveillance system for 27 medical universities.8 Voxiva, an American company, is helping Indonesia to use mobile phones to report avian influenza.9 Unlike those countries where limited resources and remote locations are the main reasons for using mobile phones, China is able to cover the entire country with an electronic disease surveillance system based on landlines. However, landline-based systems are vulnerable in catastrophic events, as seen in this case and the aftermath of Hurricane Katrina in the United States of America.10 Therefore, a disease surveillance system based on mobile phones is not only a good choice for countries with poor infrastructure but could also be used as a viable backup method for countries with internet-based electronic surveillance systems. As far as we know, the reporting system described in this paper is the only case in which mobile phones have been systematically used in disease surveillance after a major natural disaster.

Conclusion

Some lessons that we have learned from developing and running this system may be useful for other countries that want to consider using mobile phones in similar situations (Box 1). First of all, it will be more effective to incorporate this system as part of a regular emergency preparation programme. In this case, there was a rush to act after the normal disease surveillance system was paralysed by the earthquake. Thus, a delay was unavoidable due to the time needed to design the system and deliver the mobile phones. A possible alternative is to ask health workers to download the reporting programme to their own mobile phones and use it when needed. We also learned that some restrictions have to be applied to the use of phones. We had to shut off the calling function of mobile phones after one month because some agencies were using the phones for other activities. Those agencies ran out of prepaid minutes, as we had planned this amount for each phone based on the estimated upper limit of the number of cases that would be reported. Last, whenever possible, mobile phones with global positioning system (GPS) capacity should be used. The reporting system can be programmed to attach coordinate data to each text message automatically. This could help us track the disease in a spatial resolution higher than the township level. ■

Box 1. Lessons learned

Incorporate a reporting system using mobile phones into emergency preparation programmes.

Use mobile phones with global positioning system capacity to allow for more accurate tracking.

Apply appropriate restrictions to the use of phones.

Funding: Data collection, analysis, and preparation of this article were supported by a grant (No.30590370) from the National Natural Science Foundation of China.

Competing interests: None declared.

References

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