Application of GIS in Post Flood Epidemics Application of GIS in Post Flood Epidemics – – A case study, Mumbai A case study, Mumbai Guru Balamurugan* and Vikas Guru Balamurugan* and Vikas *Asst. Professor *Asst. Professor JTCDM, TISS JTCDM, TISS Mumbai Mumbai [email protected][email protected]
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Application of GIS in Post Flood Epidemics- A Case Study, Mumbai by Dr. Guru Balamurugan and Vikas N. Kurne
The present study deals with the role of Geographical Information Systems (GIS) in mapping the disease prevalence in areas and indicating the severity of a particular disease in certain areas. The primary and secondary data’s were collected from field and Municipal hospital respectively. Spatial mapping of different diseases (i.e. vector borne and water borne diseases) and pollution sources like water distribution lines passing through parallel or cross to the drains/garbage sites. The available number of health facilities such as PHC, HP and major hospitals were located in the GIS environment for further analysis. Based on the overlay and integrate analyses classified and zoned as mild, moderate and severe categories of flood epidemics.
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Application of GIS in Post Flood Epidemics Application of GIS in Post Flood Epidemics ––A case study, MumbaiA case study, Mumbai
Guru Balamurugan* and VikasGuru Balamurugan* and Vikas
IntroductionIntroductionPurpose of the studyPurpose of the study
Floods can lead to property damage and loss of human life.Floods can lead to property damage and loss of human life.
Disruption of water purification and sewage disposal systems.Disruption of water purification and sewage disposal systems.
Floods have impact on public health due to water contamination, Floods have impact on public health due to water contamination, increase in vector increase in vector population or direct injuries(Few and Ahern, 2005). population or direct injuries(Few and Ahern, 2005).
Physical health effects due to living in damp and dirty conditioPhysical health effects due to living in damp and dirty conditions.ns.
Potential outbreak of communicable diseases.Potential outbreak of communicable diseases.
Exposure to toxic substances, i.e., chemical and biological agenExposure to toxic substances, i.e., chemical and biological agents.ts.
Socioeconomic factors increases risk of health problems and becoSocioeconomic factors increases risk of health problems and become worst during me worst during floods like poverty, overcrowding, poor housing, low income statfloods like poverty, overcrowding, poor housing, low income status, education etc us, education etc (Malilay, 2003).(Malilay, 2003).
After floods,After floods,
Increase in infectious diseasesIncrease in infectious diseases
Population displacement and change in density (overcrowding)Population displacement and change in density (overcrowding)
Disruption of basic public sanitation services, may occur.Disruption of basic public sanitation services, may occur.
ObjectivesObjectives
1)1) Mapping the Spatial variations in disease incidences.Mapping the Spatial variations in disease incidences.
2)2) Mapping of potential risk areas (low lying areas).Mapping of potential risk areas (low lying areas).
Study Area Study Area -- MumbaiMumbaiMumbai area falls between Latitude N 18 30Mumbai area falls between Latitude N 18 30’’ to 19 20to 19 20’’ and and Longitude E 72 45Longitude E 72 45’’ to 73 00to 73 00’’
AreaArea
437.71 Sq.km (approx.). 437.71 Sq.km (approx.).
PhysiographyPhysiography
Terrain made of Deccan basalt. Soil is sandy in south and alluviTerrain made of Deccan basalt. Soil is sandy in south and alluvial and al and loamy in suburbs (Apte, 2003)loamy in suburbs (Apte, 2003)
Topographic variations Topographic variations –– 15 to 20m above MSL.15 to 20m above MSL.
Temperature max. 33Temperature max. 33˚̊C to 29C to 29˚̊C and min. 16C and min. 16˚̊C to 26C to 26˚̊C (Apte,2003)C (Apte,2003)
Monsoon between June and Sept. Average 2457Monsoon between June and Sept. Average 2457--2700 (IMD2700 (IMD--Mumbai Mumbai region). Nearly 70% rainfall during Jul. region). Nearly 70% rainfall during Jul. –– Aug.Aug.
DrainageDrainage Three river, Mithi, Dahisar and Poisar. Mithi is Three river, Mithi, Dahisar and Poisar. Mithi is
largest and drains most of citylargest and drains most of city’’s effluents. Surface s effluents. Surface drains 2000km, underground drains 440 km and drains 2000km, underground drains 440 km and outfalls 186 discharge into rivers and Arabian sea.outfalls 186 discharge into rivers and Arabian sea.
PopulationPopulation Around 1.19 cr (Census, 2001), now estimated 1.34 Around 1.19 cr (Census, 2001), now estimated 1.34
cr (HDR, Mumbai, 2009), 54% residing in slums and cr (HDR, Mumbai, 2009), 54% residing in slums and 46% . Density 46% . Density –– 27,209 people per Sq. km 27,209 people per Sq. km (Neelakantan, 2005).(Neelakantan, 2005).
Study Area Study Area
Drainage area Drainage area
Wards information and low lying areasWards information and low lying areasWards: H(E),K(E) and LWards: H(E),K(E) and L
H(E) H(E) –– Area Area -- 18.53 sq.km; Population 18.53 sq.km; Population -- 5,79123; 5,79123; 7 Health posts and 1 Municipal hospital; 7 Health posts and 1 Municipal hospital;
Low lying areas Vakola, Kalina, Shastri nagar, Bharat nagar, Low lying areas Vakola, Kalina, Shastri nagar, Bharat nagar, New Agripada, Air India and Indian airlines colony.New Agripada, Air India and Indian airlines colony.
K(E) K(E) –– Area Area –– 24.5 sq.km; Population 8,06,360;24.5 sq.km; Population 8,06,360;11 Health posts; 11 Health posts;
Low lying areas Sahar village, Chimat pada, Nav pada and Sag Low lying areas Sahar village, Chimat pada, Nav pada and Sag baug.baug.
L L –– Area Area –– 15.9 sq.km; Population15.9 sq.km; Population-- 5,90,609; 5,90,609; 12 Health posts and 1 Municipal hospital; 12 Health posts and 1 Municipal hospital;
Low lying areas Kranti nagar, Jarimari, Lohia nagr, Buddha Low lying areas Kranti nagar, Jarimari, Lohia nagr, Buddha colony, Bamandaya pada, Sable nagar, Kapadia colony.colony, Bamandaya pada, Sable nagar, Kapadia colony.
Methodology and materials: Flow ChartMethodology and materials: Flow Chart
GIS data generationGIS data generationPrimary dataPrimary data
Basic information Basic information ::
Demographic information Demographic information ::
Health informationHealth information
Secondary dataSecondary data
No. of patients taken treatment.No. of patients taken treatment.
Hospitalized or not.Hospitalized or not.
Laboratory findings.Laboratory findings.
Diagnosis.Diagnosis.
Disease wise categorizing of patients.Disease wise categorizing of patients.
No. of deaths, direct and due to illness. No. of deaths, direct and due to illness.
In all, three wards; Fever (47%), Diarrhea (26%), Jaundice (15%)In all, three wards; Fever (47%), Diarrhea (26%), Jaundice (15%) and Others (12%).and Others (12%).
In all three wards; Malaria/Dengue cases (29%), Typhoid(18%), DiIn all three wards; Malaria/Dengue cases (29%), Typhoid(18%), Diarrhea (26%), Jaundice (15%) and Others arrhea (26%), Jaundice (15%) and Others (12%).(12%).
Water level mapWater level map
FeverFever
Diarrhea Diarrhea
TyphoidTyphoid
MalariaMalaria
Dengue Dengue
JaundiceJaundice
Water level with Typhoid and MalariaWater level with Typhoid and Malaria
Water level and DiarrheaWater level and Diarrhea
Water level with Jaundice and rashWater level with Jaundice and rash
Water level and dengue and malariaWater level and dengue and malaria
Union with all diseases and water levelUnion with all diseases and water level
ConclusionConclusionPreventive measures to be taken after floodsPreventive measures to be taken after floods..Clean up after flood, Increase frequency of garbage Clean up after flood, Increase frequency of garbage clearance.clearance.
Fogging and sanitization, Spraying of insecticide.Fogging and sanitization, Spraying of insecticide.
Protecting self from mould, injuries, electric shock.Protecting self from mould, injuries, electric shock.
Drinking water safety, Boil water at least for one minute.Drinking water safety, Boil water at least for one minute.