Background
Urban malaria is considered to be one of the most significant infectious diseases due ... more Background Urban malaria is considered to be one of the most significant infectious diseases due to varied socioeconomic problems especially in tropical countries like India. Among the south Indian cities, Chennai is endemic for malaria. The present study aimed to identify the hot spots of malaria prevalence and the relationship with other factors in Chennai during 2005-2011. Methods Data on zone-wise and ward-wise monthly malaria positive cases were collected from the Vector Control Office, Chennai Corporation, for the year 2005 to 2011 and verified using field data. This data was used to calculate the prevalence among thousand people. Hotspot analysis for all the years in the study period was done to observe the spatial trend. Association of environmental factors like altitude, population density and climatic variables was assessed using ArcGIS 9.3 version and SPSS 11.5. Pearson’s correlation of climate parameters at 95% and 99% was considered to be the most significant. Social parameters of the highly malaria prone region were evaluated through a structured random questionnaire field survey. Among the ten zones of Chennai Corporation, Basin Bridge zone showed high malaria prevalence during the study period. The ‘hotspot’ analysis of malaria prevalence showed the emergence of newer hotspots in the Adyar zone. These hotspots of high prevalence are places of moderately populated and moderately elevated areas. The prevalence of malaria in Chennai could be due to rainfall and temperature, as there is a significant correlation with monthly rainfall and one month lag of monthly mean temperature. Further it has been observed that the socioeconomic status of people in the malaria hotspot regions and unhygienic living conditions were likely to aggravate the malaria problem. Conclusion Malaria hotspots will be the best method to use for targeting malaria control activities. Proper awareness and periodical monitoring of malaria is one of the quintessential steps to control this infectious disease. It has been argued that identifying the key environmental conditions favourable for the occurrence and spread of malaria must be integrated and documented to aid future predictions of malaria in Chennai.
Background: Urban malaria is considered to be one of the most significant infectious diseases due... more Background: Urban malaria is considered to be one of the most significant infectious diseases due to varied socioeconomic problems especially in tropical countries like India. Among the south Indian cities, Chennai is endemic for malaria. The present study aimed to identify the hot spots of malaria prevalence and the relationship with other factors in Chennai during 2005-2011.
Background
Urban malaria is considered to be one of the most significant infectious diseases due ... more Background Urban malaria is considered to be one of the most significant infectious diseases due to varied socioeconomic problems especially in tropical countries like India. Among the south Indian cities, Chennai is endemic for malaria. The present study aimed to identify the hot spots of malaria prevalence and the relationship with other factors in Chennai during 2005-2011. Methods Data on zone-wise and ward-wise monthly malaria positive cases were collected from the Vector Control Office, Chennai Corporation, for the year 2005 to 2011 and verified using field data. This data was used to calculate the prevalence among thousand people. Hotspot analysis for all the years in the study period was done to observe the spatial trend. Association of environmental factors like altitude, population density and climatic variables was assessed using ArcGIS 9.3 version and SPSS 11.5. Pearson’s correlation of climate parameters at 95% and 99% was considered to be the most significant. Social parameters of the highly malaria prone region were evaluated through a structured random questionnaire field survey. Among the ten zones of Chennai Corporation, Basin Bridge zone showed high malaria prevalence during the study period. The ‘hotspot’ analysis of malaria prevalence showed the emergence of newer hotspots in the Adyar zone. These hotspots of high prevalence are places of moderately populated and moderately elevated areas. The prevalence of malaria in Chennai could be due to rainfall and temperature, as there is a significant correlation with monthly rainfall and one month lag of monthly mean temperature. Further it has been observed that the socioeconomic status of people in the malaria hotspot regions and unhygienic living conditions were likely to aggravate the malaria problem. Conclusion Malaria hotspots will be the best method to use for targeting malaria control activities. Proper awareness and periodical monitoring of malaria is one of the quintessential steps to control this infectious disease. It has been argued that identifying the key environmental conditions favourable for the occurrence and spread of malaria must be integrated and documented to aid future predictions of malaria in Chennai.
Background: Urban malaria is considered to be one of the most significant infectious diseases due... more Background: Urban malaria is considered to be one of the most significant infectious diseases due to varied socioeconomic problems especially in tropical countries like India. Among the south Indian cities, Chennai is endemic for malaria. The present study aimed to identify the hot spots of malaria prevalence and the relationship with other factors in Chennai during 2005-2011.
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Urban malaria is considered to be one of the most significant infectious diseases due to varied
socioeconomic problems especially in tropical countries like India. Among the south Indian
cities, Chennai is endemic for malaria. The present study aimed to identify the hot spots of
malaria prevalence and the relationship with other factors in Chennai during 2005-2011.
Methods
Data on zone-wise and ward-wise monthly malaria positive cases were collected from the
Vector Control Office, Chennai Corporation, for the year 2005 to 2011 and verified using
field data. This data was used to calculate the prevalence among thousand people. Hotspot
analysis for all the years in the study period was done to observe the spatial trend.
Association of environmental factors like altitude, population density and climatic variables
was assessed using ArcGIS 9.3 version and SPSS 11.5. Pearson’s correlation of climate
parameters at 95% and 99% was considered to be the most significant. Social parameters of
the highly malaria prone region were evaluated through a structured random questionnaire
field survey.
Among the ten zones of Chennai Corporation, Basin Bridge zone showed high malaria
prevalence during the study period. The ‘hotspot’ analysis of malaria prevalence showed the
emergence of newer hotspots in the Adyar zone. These hotspots of high prevalence are places
of moderately populated and moderately elevated areas. The prevalence of malaria in
Chennai could be due to rainfall and temperature, as there is a significant correlation with
monthly rainfall and one month lag of monthly mean temperature. Further it has been
observed that the socioeconomic status of people in the malaria hotspot regions and
unhygienic living conditions were likely to aggravate the malaria problem.
Conclusion
Malaria hotspots will be the best method to use for targeting malaria control activities. Proper
awareness and periodical monitoring of malaria is one of the quintessential steps to control
this infectious disease. It has been argued that identifying the key environmental conditions
favourable for the occurrence and spread of malaria must be integrated and documented to
aid future predictions of malaria in Chennai.
Urban malaria is considered to be one of the most significant infectious diseases due to varied
socioeconomic problems especially in tropical countries like India. Among the south Indian
cities, Chennai is endemic for malaria. The present study aimed to identify the hot spots of
malaria prevalence and the relationship with other factors in Chennai during 2005-2011.
Methods
Data on zone-wise and ward-wise monthly malaria positive cases were collected from the
Vector Control Office, Chennai Corporation, for the year 2005 to 2011 and verified using
field data. This data was used to calculate the prevalence among thousand people. Hotspot
analysis for all the years in the study period was done to observe the spatial trend.
Association of environmental factors like altitude, population density and climatic variables
was assessed using ArcGIS 9.3 version and SPSS 11.5. Pearson’s correlation of climate
parameters at 95% and 99% was considered to be the most significant. Social parameters of
the highly malaria prone region were evaluated through a structured random questionnaire
field survey.
Among the ten zones of Chennai Corporation, Basin Bridge zone showed high malaria
prevalence during the study period. The ‘hotspot’ analysis of malaria prevalence showed the
emergence of newer hotspots in the Adyar zone. These hotspots of high prevalence are places
of moderately populated and moderately elevated areas. The prevalence of malaria in
Chennai could be due to rainfall and temperature, as there is a significant correlation with
monthly rainfall and one month lag of monthly mean temperature. Further it has been
observed that the socioeconomic status of people in the malaria hotspot regions and
unhygienic living conditions were likely to aggravate the malaria problem.
Conclusion
Malaria hotspots will be the best method to use for targeting malaria control activities. Proper
awareness and periodical monitoring of malaria is one of the quintessential steps to control
this infectious disease. It has been argued that identifying the key environmental conditions
favourable for the occurrence and spread of malaria must be integrated and documented to
aid future predictions of malaria in Chennai.