Ravendra K Sharma1, Harsh Rajvanshi2, Praveen K Bharti3, Sekh Nisar2, Himanshu Jayswar4, Ashok K Mishra3, Kalyan B Saha3, Man Mohan Shukla3, Aparup Das3, Harpreet Kaur5, Suman L Wattal6, Altaf A Lal2,7. 1. Indian Council of Medical Research-National Institute of Research in Tribal Health, (ICMR-NIRTH), Jabalpur, Madhya Pradesh, India. ravendra_s@yahoo.com. 2. Malaria Elimination Demonstration Project, Mandla, Madhya Pradesh, India. 3. Indian Council of Medical Research-National Institute of Research in Tribal Health, (ICMR-NIRTH), Jabalpur, Madhya Pradesh, India. 4. Directorate of Health Services, Government of Madhya Pradesh, Bhopal, India. 5. Indian Council of Medical Research, Department of Health Research, Ministry of Health and Family Welfare, New Delhi, India. 6. National Vector Borne Disease Control Program, Ministry of Health and Family Welfare, New Delhi, India. 7. Foundation for Disease Elimination and Control of India, Mumbai, Maharashtra, India.
Abstract
BACKGROUND: Malaria is known as a disease of poverty because of its dominance in poverty-stricken areas. Madhya Pradesh state in central India is one of the most vulnerable states for malaria morbidity and mortality. Socio-economic, environmental and demographic factors present challenges in malaria control and elimination. As part of the Malaria Elimination Demonstration Project in the tribal district of Mandla in Madhya Pradesh, this study was undertaken to assess the role of different social-economic factors contributing to malaria incidence. METHODS: The study was conducted in the 1233 villages of district Mandla, where 87% population resides in rural areas. The data was collected using the android based mobile application-SOCH for a period of 2 years (September 2017 to August 2019). A wealth index was computed along with analysis of the socio-economic characteristics of houses with malaria cases. Variables with significant variation in malaria cases were used in logistic regression. RESULTS: More than 70% of houses in Mandla are Kuccha (made of thatched roof or mud), 20% do not have any toilet facilities, and only 11% had an annual income of more than 50,000 INR, which converts to about $700 per year. Households with younger heads, male heads, more number of family members were more likely to have malaria cases. Kuccha construction, improper water supply, low household income houses were also more likely to have a malaria case and the odds doubled in houses with no toilet facilities. CONCLUSION: Based on the results of the study, it has been found that there is an association between the odds of having malaria cases and different household variables such as age, gender, number of members, number of rooms, caste, type of house, toilet facilities, water supply, cattle sheds, agricultural land, income, and vector control interventions. Therefore, a better understanding of the association of various risk factors that influence the incidence of malaria is required to design and/or deploy effective policies and strategies for malaria elimination. The results of this study suggest that appropriate economic and environmental interventions even in low-income and poverty-stricken tribal areas could have huge impact on the success of the national malaria elimination goals.
BACKGROUND:Malaria is known as a disease of poverty because of its dominance in poverty-stricken areas. Madhya Pradesh state in central India is one of the most vulnerable states for malaria morbidity and mortality. Socio-economic, environmental and demographic factors present challenges in malaria control and elimination. As part of the Malaria Elimination Demonstration Project in the tribal district of Mandla in Madhya Pradesh, this study was undertaken to assess the role of different social-economic factors contributing to malaria incidence. METHODS: The study was conducted in the 1233 villages of district Mandla, where 87% population resides in rural areas. The data was collected using the android based mobile application-SOCH for a period of 2 years (September 2017 to August 2019). A wealth index was computed along with analysis of the socio-economic characteristics of houses with malaria cases. Variables with significant variation in malaria cases were used in logistic regression. RESULTS: More than 70% of houses in Mandla are Kuccha (made of thatched roof or mud), 20% do not have any toilet facilities, and only 11% had an annual income of more than 50,000 INR, which converts to about $700 per year. Households with younger heads, male heads, more number of family members were more likely to have malaria cases. Kuccha construction, improper water supply, low household income houses were also more likely to have a malaria case and the odds doubled in houses with no toilet facilities. CONCLUSION: Based on the results of the study, it has been found that there is an association between the odds of having malaria cases and different household variables such as age, gender, number of members, number of rooms, caste, type of house, toilet facilities, water supply, cattle sheds, agricultural land, income, and vector control interventions. Therefore, a better understanding of the association of various risk factors that influence the incidence of malaria is required to design and/or deploy effective policies and strategies for malaria elimination. The results of this study suggest that appropriate economic and environmental interventions even in low-income and poverty-stricken tribal areas could have huge impact on the success of the national malaria elimination goals.
Authors: Neeru Singh; Sunil K Chand; Praveen K Bharti; Mrigendra P Singh; Gyan Chand; Ashok K Mishra; Man M Shukla; Man M Mahulia; Ravendra K Sharma Journal: PLoS One Date: 2013-09-02 Impact factor: 3.240
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