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

Francesco Di Gennaro, Claudia Marotta, Damiano Pizzol, Kajal Chhaganlal, Laura Monno, Giovanni Putoto, Annalisa Saracino, Alessandra Casuccio and Walter Mazzucco
Additional contact information
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

IJERPH, 2018, vol. 15, issue 9, 1-8

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.

Keywords: malaria prevalence; HIV; HIV-malaria co-infection; malaria predictors in developing countries; cotrimoxazole prophylaxis; Mozambique (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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