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Analysis of Prevalence of Malaria and Anemia Using Bivariate Probit Model

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  • Senayit Seyoum

    (Haramaya University)

Abstract

Malaria and anemia are public health problems that have an impact on social and economic development. Malaria causes 70,000 deaths each year and accounts for 17% of outpatient visits to health institutions. It is one of the causes of anemia. Therefore, knowing the relation between malaria and anemia could have a great contribution to the development of prevention strategies. This study is intended to jointly model the prevalence of malaria and anemia by employing a bivariate probit model and show their relationship. The data was obtained from 384 patients visiting Alaba health center. The results of the bivariate probit model shows that sex, age, education level and marital status are significantly associated with malaria and sex and education level are significantly associated with anemia. The results of the seemingly unrelated bivariate probit model shows that sex, education level, age and marital status are significantly determining the prevalence of malaria, and malaria, sex and education level are significantly determining the prevalence of anemia.

Suggested Citation

  • Senayit Seyoum, 2018. "Analysis of Prevalence of Malaria and Anemia Using Bivariate Probit Model," Annals of Data Science, Springer, vol. 5(2), pages 301-312, June.
    • Handle: RePEc:spr:aodasc:v:5:y:2018:i:2:d:10.1007_s40745-018-0138-3
    DOI: 10.1007/s40745-018-0138-3
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    References listed on IDEAS

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    1. Greene, W.H., 1996. "Marginal Effects in the Bivariate Probit Model," Working Papers 96-11, New York University, Leonard N. Stern School of Business, Department of Economics.
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    Cited by:

    1. Samson B. Adebayo & Ezra Gayawan, 2022. "A Bivariate Analysis of the Spatial Distributions of Stunting and Wasting Among Children Under-Five in Nigeria," Journal of Development Policy and Practice, , vol. 7(1), pages 31-52, January.
    2. Feeney, Roberto & Harmath, Pedro & Ramoni-Perazzi, Josefa & Clay, Pablo Mac, 2022. "Relationship between brand and dealer loyalty in the agricultural equipment market," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 25(2), March.
    3. Jamal Shah & Majed Alharthi, 2025. "The recursive impact in the multivariate probit model: An application on farmers’ decisions for opting risk management strategies," Agricultural Economics, International Association of Agricultural Economists, vol. 56(1), pages 124-144, January.
    4. Kübranur Çebi Karaaslan & Abdulkerim Karaaslan & Hüriye Subaşı, 2024. "Factors affecting seeking psychological and psychiatric support for Turkish society," PLOS ONE, Public Library of Science, vol. 19(9), pages 1-16, September.
    5. Pedro Harmath & Roberto Feeney & Josefa Ramoni-Perazzi, 2022. "Producers’ brand-dealer dual loyalty to capital equipment," Journal of Marketing Analytics, Palgrave Macmillan, vol. 10(4), pages 390-407, December.

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