Patterns and predictors of malaria among head porters: a mobile population in Ghana.

BACKGROUND: Head porters popularly known as 'Kayayeis in Ghana, face challenges in accessing essential health care services due to the mobile nature of their trade, low formal education, poor settlements, low-income among others. Kayayeis are predominantly females and form part of the mobile population who are at increased risk of malaria infection. Despite their increased risk of malaria, mobile populations are difficult to target for malaria interventions, hence serving as potential drivers of transmission even if malaria in the general population is controlled. The study, therefore, assessed the patterns and predictors of malaria among the Kayayei population in Ghana to inform policy decisions. METHODS: A mixed methods study was conducted among Head-porters and their leaders in the three main hubs of Head-porters in Ghana; namely Accra, Kumasi, and Tamale. Blood samples were collected from participants and tested for malaria parasites using Rapid Diagnostic Test (RDT). Additionally, data including socio-demographics, malaria knowledge, attitude and practice were collected using a semi-structured questionnaire. Associations between malaria status and participants characteristics were determined by logistic regression (p < 0.05). Thematic analysis was used to analyse transcripts from the key informant interviews. RESULTS: Out of 754 head porters studied, 10.48% (79) tested positive for malaria. The majority 43.10% (325/754) of the head porters were twenty years and below, and most 67.11% (506/754) had no formal education. Nearly half (50.4%) were not on any health insurance. Receiving malaria education in the past 6 months [AOR = 0.48, (0.26-0.88), p-value 0.02], and having poor knowledge of malaria [AOR = 2.23, (1.26-4.27), p < 0.02], were the factors significantly associated with malaria infection. CONCLUSION: The prevalence of malaria among 'Kayayei's was estimated at 10.46%. A majority of them sleeps outside and in structures without mosquito screens. Receiving malaria education in the past 6 months reduced the odds of malaria infection whilst poor knowledge of malaria increased the odds of malaria infection among the porters. The authors recommend that the National Malaria Elimination Programme and partners should provide long-lasting insecticidal nets (LLIN) and other outdoor interventions for use by this special group. Designated state institutions should arrange free National Health Insurance Scheme (NHIS) registration for 'Kayayeis' to narrow the health access gap.

Patient socio-demographics and clinical factors associated with malaria mortality: a case control study in the northern region of Ghana.

BACKGROUND: Ghana is a malaria-endemic country with the entire population at risk. The Northern region of the country recorded the highest malaria case fatality rate (CFR) for two consecutive years: 1.11% in 2013 and 1.07% in 2014. Even though the National Malaria Elimination Programme (NMEP) has achieved a reduction in malaria mortality, the existence of high case fatality in the Northern region was alarming. This study, therefore, aimed to determine the factors associated with malaria mortality in the northern region of Ghana to institute control measures. METHODS: An unmatched case control study was conducted from July 2015 to August 2015. The study population consisted of patients admitted to health facilities for severe malaria in the Northern region of Ghana. A case was defined as a patient diagnosed with severe malaria at an eligible health facility who died as a result of malaria. A control was a patient diagnosed with severe malaria admitted to an eligible health facility who did not die. Health facilities that recorded CFRs of 1.0% and above were randomly sampled for this study, after which, 10 cases and 20 controls were recruited from each health facility. Information on cases and controls was then abstracted from hospital records using an electronically deployed abstraction tool. Continuous variables were expressed as means and medians, and categorical variables as frequencies and proportions. Multivariable logistic regression was used to assess the strength of the association between malaria mortality and factors predictive of malaria mortality. A p-value of < 0.05 was considered statistically significant. RESULTS: In all, a total of 95 cases and 190 controls participated in this study. The median ages of cases and controls were 4.1 years (IQR = 21.6) and 5.7 years (IQR = 18.2), respectively. Fifty-four (56.8%) cases were females, while 93 (49.0%) of the controls were females. Factors associated with malaria mortality included: duration of hospital stay less than 24 h [aOR: 12.0, 95% CI (5.9-24.6)], severe pallor [aOR: 2.3, 95% CI (1.1-4.6)], children under 5 years [aOR: 2.8, 95% CI (1.4-5.6)], oral Artesunate/Amodiaquine administration [aOR: 0.4, 95% CI (0.2-0.9)] and sepsis as an additional diagnosis [aOR: 4.1, 95% CI (1.8-9.5)]. CONCLUSION: Predictors of malaria mortality in the Northern region include children under 5 years, severe pallor, sepsis as an additional diagnosis, and use of oral anti-malarial. Patients with severe pallor and sepsis as co-morbidities should receive proactive management. The NMEP and its partners should implement measures to strengthen the referral system, anaemia prevention and management, and retrain health workers on malaria case management. Malaria control interventions targeted at under five children in the region should be reviewed and enhanced.

A retrospective analysis of malaria deaths in the pre- and intra- COVID 19 pandemic era, Ghana, 2016-2021.

BACKGROUND: Global efforts over the years have resulted in a 27% reduction in malaria incidence and an estimated 51% reduction in malaria mortality since 2000. Meanwhile, COVID-19 pandemic disrupted provision and utilization of malaria services, leading to a surge in malaria incidence and mortality. Globally, 627000 malaria deaths were recorded in 2020, representing about 69000 more deaths compared to 2019. Also, 14 million more cases of malaria were recorded in 2020 compared to 2019. This study sought to determine whether excess malaria deaths were recorded in Ghana during the COVID-19 pandemic era. METHODS: This was a descriptive study on routine malaria mortality data in Ghana for the period 2016 to 2021. Data was retrieved from the District Health Information Management System using a data extraction guide. Excess mortality was defined as occurrence of malaria deaths more than expected value for the period 2020 and 2021. The expected number of mortalities for 2020 and 2021 were determined using 2016 to 2019 average. Excess mortality (P-score) was estimated using the formula: [(reported mortalities-expected mortalities)/expected mortalities X 100%]. Data were summarized and processed in Microsoft excel version 16.0. Malaria mortality in Ghana and its regions was described using tables and line graphs. RESULTS: An average of 535 malaria deaths per year were recorded nationwide from 2016 to 2020. About 50% (1603/3207) of deaths occurred in children aged less than five years. The p-scores for the country were -53% and -58% for 2020 and 2021 respectively. No region recorded excess all-age malaria mortality in 2020, rather significant reduction. Stratified by age, Greater Accra region reported 90% higher than expected deaths among persons aged five years and above in 2020 (p-score = 90%, 95% CI: 21-159). All regions reported reduction in under-five mortality in 2020. No significant excess malaria mortalities were reported among the regions in 2021. CONCLUSION: Although negative p-scores suggested a decline in malaria mortalities nationwide, some regions recorded excess deaths during the COVID-19 pandemic era. There is a need to integrate COVID-19 control activities with malaria control and prevention efforts to mitigate the impact of COVID-19 on malaria case management and mortality.