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Commentary
142 (
5
); 509-511
doi:
10.4103/0971-5916.171269

Mapping of cholera cases using satellite based recording systems to investigate the outbreak

Division of Bacteriology National Institute of Cholera & Enteric Diseases (ICMR), P33, CIT Road, Scheme XM, Beliaghata Kolkata 700 010, West Bengal, India

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This is an open access article distributed under the terms of the Creative Commons Attribution NonCommercial ShareAlike 3.0 License, which allows others to remix, tweak, and build upon the work non commercially, as long as the author is credited and the new creations are licensed under the identical terms.

Disclaimer:
This article was originally published by Medknow Publications & Media Pvt Ltd and was migrated to Scientific Scholar after the change of Publisher.

Global positioning system (GPS) is a satellite navigation system which delivers specially coded satellite signals that can be communicated in a GPS receiver, allowing the receiver to compute position, velocity and time of the object. GPS technology contained the space segment, control segment and the user segment. The most essential part of GPS system, the GPS receiver and user communities are present in user segment. GPS receiver acquires signals and converts the radio signals into position, velocity and time estimates1. Google Earth is not a geographic information system (GIS) with the extensive analytical capacities, but it is much easier than those high performance analytical software packages.

In the mid-19th century, John Snow mapped cases of cholera in Soho, London, and traced the source of the outbreak to a contaminated water pump2. He was the pioneer of cholera mapping. After that GIS and GPS systems were incorporated in the mapping techniques. Detection of cholera transmission risk system in Sabah, Malaysia, using GIS, satellite remote sensing (RS) and GPS was an example of usage of advanced technology in cholera control3. GPS system was also useful for detection of drainage networks on cholera outbreaks in Lusaka, Zambia4. Use of GPS system was an astounding event, which helped to conclude that insufficient coverage of drainage networks was an elevated risk of cholera outbreaks in Zambia4. GPS system was also used widely to map the disastrous cholera outbreak in Haiti in the year 20105. Mapping of cholera-epidemic prone areas and the predisposing factors of cholera in Ilala district, Tanzania, was done using GPS and GIS system6. GPS and Google Earth system can easily record and store the waypoints that can help to navigate directly to the desired location. Thus, affected areas which require attention, can be located easily.

Cholera is still a considerable health burden in several geographical areas, reflecting poor maintenance of hygiene related infrastructure and difficulties in implementation of control measures in developing countries7. The devastating cholera outbreak during 2010 in Haiti, placed this ancient scourge at the forefront of the global public health agenda8. This severe, dehydrating diarrhoeal disease is triggered by the Gram-negative bacterium Vibrio cholerae. Till date, V. cholerae has more than 200 established serogroups and among them only O1 and O139 can cause pandemic and epidemic cholera. The clinical O1 strains can further be subdivided into two serotypes Ogawa and Inaba9. In recent years, novel pathogenic variants of V. cholerae O1 have been emerged and disseminated throughout the world101112. This indicates a cryptic change in the genome of V. cholerae, which subsequently modified the epidemiology of cholera13. Ramesh Masthi and colleagues14 in this issue described V. cholerae O1 Ogawa as a causative agent in the cholera outbreak in a village near Bengaluru, India during June 2013 which was spread through the contaminated water. They used GPS technology to gather information on this outbreak. Recent advances in GPS technology allowed scientist to accurately track the spread of an outbreak by measuring the accurate distribution of morbidity, mortality, and location of household of cases. Based on these technologies to capture the detailed information regarding the cholera outbreak, house-to-house survey was performed by the investigators. They used hand held GPS receiver to record the diarrhoea cases and subsequently these data were mapped with the help of Google Earth software. According to the signals received from the GPS receiver it was depicted that the cholera outbreak in this village was prevalent from 8th to 18th June 2013 with age distribution of cases ranged from 5 months to 93 yr. Epidemic peak was observed on the third and fourth day of the outbreak with an attack rate of 6.9 per cent and case fatality rate of 3.7 per cent14. Stool sample microscopy using “hanging drop” revealed “darting motility” resembling Vibrio cholerae. But this result does not confirm the presence of V. cholerae O1. Further, arresting of darting motility by adding V. cholerae O1 antiserum would have been the definite test for V. cholerae O1, which was not performed in this study.

Google Earth can represent the earth as a three dimensional globe and thus provides detailed information regarding roads, populated places, geographic attributes water bodies, etc. GPS coordinates and Google Earth helped to generate spot map using satellite, which indicated the clustering of cases around the suspected water sources in the village14. With this clustering analysis the authors identified that the pipelines of the bore wells which was the only source of drinking water got damaged. With the help of Google Earth aerial view, prime suspected area in the village was identified and necessary actions were taken. Not only that the spatial distribution of cases accumulated with the aid of coordination of GPS tracking and Google Earth mapping, but also the locations of the household and routes from the Primary Health Centre in the outbreak area were recorded and made available. Google earth was successfully used to understand the cholera epidemic affecting Guinea-Bissau in 2008 focusing on the geographical spread to guide prevention and control activities executing the cluster analysis15. Just as John Snow's groundbreaking cholera maps of the nineteenth century displayed that poor sanitation leading to contaminated water was spreading disease2, this study, which combined accurate mapping with the latest GPS technology, further emphasized the importance of improving the quality of water supplies and infrastructure for sanitation to seriously tackle diseases such as cholera.

These technologies have the potentiality to act as an early warning system for cholera in many developing countries, especially during the start of an outbreak. Once a cholera outbreak has been confirmed, large-scale rapid preventive measures, including mass vaccinations, promotion of protective behaviours related to food and water handling, improvement of hygiene and sanitation and ensuring that a sufficient supply of materials for cholera treatment, such as oral rehydration salts and antibiotics, could be mobilized to minimize morbidity and mortality so that it cannot progress into an epidemic. Wider use of GPS and GIS system to tackle cholera outbreaks was reported from several countries in 21st century3456. This study further highlighted that GPS technology, combined with the Google Earth system was a useful tool to augment our understanding of preventive measure of the outbreak by providing the location of the households and an insight as to how people interact with the environment which in turn indicated contaminated bore wells as the main source of cholera outbreak. For now, however, it is safe to say that the quest for using GPS and Google Earth for disease control has just begun but it can definitely be used as a better mapping tool. Finally, the spread of disease especially infectious disease, is inevitably spatial and infection travels from individual to individual following a network of contacts within a population through local or global transmission16. Wider use of these modern technologies is ideally suited for infectious disease surveillance and control as resources are usually limited when responding to outbreaks, and knowledge about where to orient interventions is crucial. In conclusion, available tools for spatial analysis should be incorporated into the prevailing surveillance systems in order to improve planning, preparedness and management of cholera epidemics.

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