Socio-economic determinants of malaria in tribal dominated Mandla district enrolled in Malaria Elimination Demonstration Project in Madhya Pradesh

被引:28
|
作者
Sharma, Ravendra K. [1 ]
Rajvanshi, Harsh [2 ]
Bharti, Praveen K. [1 ]
Nisar, Sekh [2 ]
Jayswar, Himanshu [3 ]
Mishra, Ashok K. [1 ]
Saha, Kalyan B. [1 ]
Shukla, Man Mohan [1 ]
Das, Aparup [1 ]
Kaur, Harpreet [4 ]
Wattal, Suman L. [5 ]
Lal, Altaf A. [2 ,6 ]
机构
[1] Indian Council Med Res, Natl Inst Res Tribal Hlth, ICMR NIRTH, Jabalpur, Madhya Pradesh, India
[2] Malaria Eliminat Demonstrat Project, Mandla, Madhya Pradesh, India
[3] Govt Madhya Pradesh, Directorate Hlth Serv, Bhopal, India
[4] Minist Hlth & Family Welf, Dept Hlth Res, Indian Council Med Res, New Delhi, India
[5] Minist Hlth & Family Welf, Natl Vector Borne Dis Control Program, New Delhi, India
[6] Fdn Dis Eliminat & Control India, Mumbai, Maharashtra, India
关键词
Socio-economic determinants; Malaria elimination; Tribal malaria; Rural households; RISK-FACTORS; CENTRAL INDIA; FOREST MALARIA; TRANSMISSION; EPIDEMIOLOGY; PREVALENCE; AREA; POPULATION; PREVENTION; INFECTION;
D O I
10.1186/s12936-020-03540-x
中图分类号
R51 [传染病];
学科分类号
100401 ;
摘要
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.
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