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  1. Yusuf A, Mamun ASMA, Kamruzzaman M, Saw A, Abo El-Fetoh NM, Lestrel PE, et al.
    BMC Pediatr, 2019 Jul 26;19(1):258.
    PMID: 31349810 DOI: 10.1186/s12887-019-1607-3
    Following publication of the original article [1], the authors reported that name that appeared in published online version is incorrect.
  2. Yusuf A, Mamun ASMA, Kamruzzaman M, Saw A, Abo El-Fetoh NM, Lestrel PE, et al.
    BMC Pediatr, 2019 06 29;19(1):213.
    PMID: 31255172 DOI: 10.1186/s12887-019-1581-9
    BACKGROUND: Anemia is not only a major public health problem among children in developing countries, it is also an important predictor for their future growth and development. The objective of this study was to identify possible factors associated with anemia among pre-school children in Bangladesh after removing a cluster effect of the population, and to determine the prevalence of this condition.

    METHODS: Data for this study was extracted from the 2011 Bangladesh Demographic and Health Survey (BDHS-2011). In this survey, data was collected using a two-stage stratified cluster sampling approach. The chi-square test and a two-level logistic regression model were used for further analysis.

    RESULTS: Data from 2231 children aged 6-59 months were included for analysis. The prevalence of child anemia was noted to be 52.10%. Among these anemic children, 48.40% where from urban environment and 53.90% were from rural areas. The prevalence of mild, moderate and severe anemia among children was 57.10, 41.40 and 1.50% respectively. The two-level logistic regression model revealed that the following factors were associated with childhood anemia: children of anemic mothers (p 

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