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Prevalence and Predictors of Malaria in Human Immunodeficiency Virus Infected Patients in Beira, Mozambique

Author

Listed:
  • Francesco Di Gennaro

    (Department of Infectious Diseases, University of Bari “Aldo Moro”, 35128 Bari, Italy)

  • Claudia Marotta

    (Department of Science for Health Promotion and Mother to Child Care “G. D’Alessandro”, via del Vespro, University of Palermo, 90217 Palermo, Italy)

  • Damiano Pizzol

    (Doctors with Africa—CUAMM, Research Unit, Beira 1363, Mozambique)

  • Kajal Chhaganlal

    (Center for Research in Infectious Diseases, Faculty of Health Sciences, Catholic University of Mozambique, Beira 1363, Mozambique)

  • Laura Monno

    (Department of Infectious Diseases, University of Bari “Aldo Moro”, 35128 Bari, Italy)

  • Giovanni Putoto

    (Research Section, Doctors with Africa CUAMM, 35128 Padova, Italy)

  • Annalisa Saracino

    (Department of Infectious Diseases, University of Bari “Aldo Moro”, 35128 Bari, Italy)

  • Alessandra Casuccio

    (Department of Science for Health Promotion and Mother to Child Care “G. D’Alessandro”, via del Vespro, University of Palermo, 90217 Palermo, Italy)

  • Walter Mazzucco

    (Department of Science for Health Promotion and Mother to Child Care “G. D’Alessandro”, via del Vespro, University of Palermo, 90217 Palermo, Italy)

Abstract

Co-infection between malaria and HIV has major public health implications. The aims of this study were to assess the malaria prevalence and to identify predictors of positivity to malaria Test in HIV positive patients admitted to the health center São Lucas of Beira, Mozambique. A retrospective cross-sectional study was performed from January 2016 to December 2016. Overall, 701 adult HIV patients were enrolled, positivity to malaria test was found in 232 (33.0%). These patients were found to be more frequently unemployed (76.3%), aged under 40 (72.0%), with a HIV positive partner (22.4%) and with a CD4 cell count <200 (59.9%). The following variables were predictors of malaria: age under 40 (O.R. = 1.56; 95%CI: 1.22–2.08), being unemployed (O.R. = 1.74; 95%CI: 1.24–2.21), irregularity of cotrimoxazole prophylaxis’s (O.R. = 1.42; 95%CI: 1.10–1.78), CD4 cell count <200 (O.R. = 2.01; 95%CI: 1.42–2.32) and tuberculosis comorbidity (O.R. = 1.58; 95%CI: 1.17–2.79). In conclusion, high malaria prevalence was found in HIV patients accessing the out-patients centre of São Lucas of Beira. Our findings allowed us to identify the profile of HIV patients needing more medical attention: young adults, unemployed, with a low CD4 cell count and irregularly accessing to ART and cotrimoxazole prophylaxis.

Suggested Citation

  • Francesco Di Gennaro & Claudia Marotta & Damiano Pizzol & Kajal Chhaganlal & Laura Monno & Giovanni Putoto & Annalisa Saracino & Alessandra Casuccio & Walter Mazzucco, 2018. "Prevalence and Predictors of Malaria in Human Immunodeficiency Virus Infected Patients in Beira, Mozambique," IJERPH, MDPI, vol. 15(9), pages 1-8, September.
    • Handle: RePEc:gam:jijerp:v:15:y:2018:i:9:p:2032-:d:170385
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    References listed on IDEAS

    as
    1. Joao L. Ferrao & Sergio Niquisse & Jorge M. Mendes & Marco Painho, 2018. "Mapping and Modelling Malaria Risk Areas Using Climate, Socio-Demographic and Clinical Variables in Chimoio, Mozambique," IJERPH, MDPI, vol. 15(4), pages 1-15, April.
    2. Claudia Marotta & Francesco Di Gennaro & Damiano Pizzol & Geoffrey Madeira & Laura Monno & Annalisa Saracino & Giovanni Putoto & Alessandra Casuccio & Walter Mazzucco, 2018. "The At Risk Child Clinic (ARCC): 3 Years of Health Activities in Support of the Most Vulnerable Children in Beira, Mozambique," IJERPH, MDPI, vol. 15(7), pages 1-8, June.
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    Cited by:

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    2. Khaldoon A. Mourad & Vincent Habumugisha & Bolaji F. Sule, 2019. "Assessing Students’ Knowledge on WASH-Related Diseases," IJERPH, MDPI, vol. 16(11), pages 1-8, June.

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