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Home Assessment of Indoor Microbiome (HAIM) in Relation to Lower Respiratory Tract Infections among Under-Five Children in Ibadan, Nigeria: The Study Protocol

Author

Listed:
  • Adekunle G. Fakunle

    (Discipline of Occupational and Environmental Health, University of KwaZulu-Natal, 321 George Campbell Building Howard College Campus, Durban 4041, South Africa
    Department of Environmental Health Sciences, Faculty of Public Health, University of Ibadan, Ibadan 200212, Nigeria)

  • Babatunde Olusola

    (Department of Virology, College of Medicine, University of Ibadan, Ibadan 200212, Nigeria)

  • Nkosana Jafta

    (Discipline of Occupational and Environmental Health, University of KwaZulu-Natal, 321 George Campbell Building Howard College Campus, Durban 4041, South Africa)

  • Adedayo Faneye

    (Department of Virology, College of Medicine, University of Ibadan, Ibadan 200212, Nigeria)

  • Dick Heederik

    (Institute for Risk Assessment Sciences, Environmental Epidemiology Division (IRAS-EEPI), Utrecht University, 80177 Utrecht, The Netherlands)

  • Lidwien A.M. Smit

    (Institute for Risk Assessment Sciences, Environmental Epidemiology Division (IRAS-EEPI), Utrecht University, 80177 Utrecht, The Netherlands)

  • Rajen N. Naidoo

    (Discipline of Occupational and Environmental Health, University of KwaZulu-Natal, 321 George Campbell Building Howard College Campus, Durban 4041, South Africa)

Abstract

The association between household air pollution and lower respiratory tract infections (LRTI) among children under five years of age has been well documented; however, the extent to which the microbiome within the indoor environment contributes to this association is uncertain. The home assessment of indoor microbiome (HAIM) study seeks to assess the abundance of indoor microbiota (IM) in the homes of under-five children (U-5Cs) with and without LRTI. HAIM is a hospital- and community-based study involving 200 cases and 200 controls recruited from three children’s hospitals in Ibadan, Nigeria. Cases will be hospital-based patients with LRTI confirmed by a pediatrician, while controls will be community-based participants, matched to cases on the basis of sex, geographical location, and age (±3 months) without LRTI. The abundance of IM in houses of cases and controls will be investigated using active and passive air sampling techniques and analyzed by qualitative detection of bacterial 16SrRNA gene (V3–V4), fungal ITS1 region, and viral RNA sequencing. HAIM is expected to elucidate the relationship between exposure to IM and incidence of LRTI among U-5Cs and ultimately provide evidence base for strategic interventions to curtail the burgeoning burden of LRTI on the subcontinent.

Suggested Citation

  • Adekunle G. Fakunle & Babatunde Olusola & Nkosana Jafta & Adedayo Faneye & Dick Heederik & Lidwien A.M. Smit & Rajen N. Naidoo, 2020. "Home Assessment of Indoor Microbiome (HAIM) in Relation to Lower Respiratory Tract Infections among Under-Five Children in Ibadan, Nigeria: The Study Protocol," IJERPH, MDPI, vol. 17(6), pages 1-16, March.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:6:p:1857-:d:332007
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    References listed on IDEAS

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    1. Luxi Jiang & Hongyu Ren & Haijian Zhou & Tian Qin & Yu Chen, 2017. "Simultaneous Detection of Nine Key Bacterial Respiratory Pathogens Using Luminex xTAG ® Technology," IJERPH, MDPI, vol. 14(3), pages 1-15, February.
    2. Mulugeta Gebregziabher & Bryan Langholz, 2010. "A Semiparametric Missing-Data-Induced Intensity Method for Missing Covariate Data in Individually Matched Case–Control Studies," Biometrics, The International Biometric Society, vol. 66(3), pages 845-854, September.
    3. Ilseung Cho & Shingo Yamanishi & Laura Cox & Barbara A. Methé & Jiri Zavadil & Kelvin Li & Zhan Gao & Douglas Mahana & Kartik Raju & Isabel Teitler & Huilin Li & Alexander V. Alekseyenko & Martin J. B, 2012. "Antibiotics in early life alter the murine colonic microbiome and adiposity," Nature, Nature, vol. 488(7413), pages 621-626, August.
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