Factors Associated with Malaria Care-Seeking for Among Children Under 5 Years of Age in Mozambique: A Secondary Analysis of the 2018 Malaria Indicator Survey

BackgroundMozambique is ranked fourth in a list of the 29 countries that accounted for 95% of all malaria cases globally in 2019. The aim of this study was to identify factors associated with care-seeking for fever, to determine the association between knowledge about malaria and care-seeking and to describe the main reasons for not seeking care among children under five years of age in Mozambique.MethodsThis is a quantitative, observational study based on a secondary data analysis of the 2018 Malaria Indicatory Survey. This weighted analysis was based on data reported by surveyed mothers or caregivers of children aged 0-59 months who had fever in the two weeks prior to the survey.ResultsCare was reportedly sought for 69.1% [95% CI 63.5-74.2] of children aged 0-59 months old with fever. Care-seeking was significantly higher among younger children, <6 months old (AOR=2.47 [95% CI 1.14-5.31]), 6-11 months old (AOR=1.75 [95% CI 1.01-3.04]) and 12-23 months old (AOR=1.85 [95% CI 1.19-2.89]), as compared with older children (48-59 months old).In adjusted analysis, mothers from the middle (AOR=1.66 [95% CI 0.18-3.37]) and richest (AOR=3.46 [95% CI 1.26-9.49]) wealth quintiles were more likely to report having sought care for their febrile children than mothers from the poorest wealth quintile. Additionally, mothers with secondary or higher education level were more likely to seek care (AOR=2.16 [95% CI 1.19-3.93]) than mothers with no education. There was no association between maternal malaria knowledge or reported exposure to malaria messages and care-seeking behaviors.The main reasons reported for not seeking care included distance to health facility (46.3% of respondents), perception that the fever was not severe (22.4%) and the perception that treatment was not available at the health facility (15%).ConclusionHealth facility access and socioeconomic barriers continue to be important constraints on malaria service utilization in Mozambique.

Inequities in childhood anaemia at provincial borders in Mozambique: cross-sectional study results from multilevel Bayesian analysis of 2018 National Malaria Indicator Survey

ObjectivesThis study aims to identify the child-level, maternal-level, household-level and community-level determinants of anaemia among children aged 6–59 months, and determine the inequities of anaemia prevalence across communities in Mozambique.DesignCross-sectional study.SettingMozambique.ParticipantsThis study used data of a weighted population of 3946 children, 6–59 months, delivered by women between 15 and 49 years of age, from the 2018 Mozambique Malaria Indicator Survey.Primary outcome measureChild’s anaemic status, measured as altitude-adjusted haemoglobin concentration (in g/L); the severity of anaemia was categorised based on predefined threshold values. Multilevel Bayesian linear regressions identified key determinants of childhood anaemia. Based on data availability and policy implications, spatial analysis was used to determine geographical variation of anaemia at the community level and areas with higher risks.ResultsThe mean prevalence of childhood anaemia was 77.7% (SD: 5.5%). Provincially, Cabo Delgado province (86.2%) had the highest prevalence, Maputo province (70.2%) the lowest. Children with excess risk were mostly found in communities that had proximity to provincial borders: Niassa-Cabo Delgado-Nampula triprovincial border, Gaza-Inhambane border, Zambezia-Nampula border and provinces of Manica and Inhambane. Children with anaemia tended to be younger, males and at risk of having malaria because they were not sleeping under mosquito nets. In addition, children from poor families relative to children from wealthier households and those living in female-headed households were prone to anaemia.ConclusionFindings from this study provide evidence that spatial inequities in childhood anaemia exist in Mozambique, mostly concentrated in the communities living close to the provincial borders. Anaemia among children could be effectively reduced through malaria prevention, for example, bed netting. Interventions are needed that generate income for households, increase community support for households headed by women, improve malaria control, build capacity of healthcare workers to manage severely anaemic children and health education for mothers.

Performance evaluation of RDT, light microscopy, and PET-PCR for detecting Plasmodium falciparum malaria infections in the 2018 Zambia National Malaria Indicator Survey

Background Zambia continues to advance on the path to elimination with significant reductions in malaria morbidity and mortality. Crucial components that have contributed to progress thus far and are necessary for achieving the national malaria elimination goals include properly identifying and treating all malaria cases through accurate diagnosis. This study sought to compare and assess the diagnostic performance of Rapid Diagnostic Tests (RDT) and Light Microscopy (LM) with photo-induced electron transfer polymerase chain reaction (PET-PCR) as the gold standard using 2018 Malaria Indicator Survey (MIS) data across Zambia to better understand diagnostic accuracy metrics and how these vary across a transmission gradient. Methods Cross-sectional samples collected in a nationally representative survey from 7 provinces in Zambia were tested for the presence of malaria parasites by light microscopy (LM), rapid diagnostic test (RDT) and the gold standard PET-PCR. Diagnostic performance was assessed including sensitivity, specificity, negative- and positive-predictive values across a wide malaria transmission spectrum. Diagnostic accuracy metrics were measured, and statistically significant differences were calculated between test methods for different outcome variables. Results From the individuals included in the MIS, the overall prevalence of Plasmodium falciparum malaria was 32.9% by RDT, 19.4% by LM, and 23.2% by PET-PCR. Herein, RDT and LM diagnostic performance was compared against gold standard PET-PCR with LM displaying a higher diagnostic accuracy than RDTs (91.3% vs. 84.6% respectively) across the transmission spectrum in Zambia. However, the performance of both diagnostics was significantly reduced in low parasitaemia samples. Consistent with previous studies, RDT diagnostic accuracy was predominantly affected by a high rate of false positives. Conclusions RDTs and LM both perform well across a range of transmission intensities within their respective target applications, i.e., in the community, for the former, where ease of use and speed of result is critical, and at the health facility, for the latter, where accuracy is prioritized. However, the performance of both diagnostic methods is adversely affected by low parasitaemia infections. As Zambia moves towards elimination more sensitive tools may be required to identify the last cases.

Clustering of subpatent infections in households with asymptomatic rapid diagnostic test-positive cases in Bioko Island, Equatorial Guinea independent of travel to regions of higher malaria endemicity: a cross-sectional study

Background Prevalence of falciparum malaria on Bioko Island remains high despite sustained, intensive control. Progress may be hindered by high proportions of subpatent infections that are not detected by rapid diagnostic tests (RDT) but contribute to onward transmission, and by imported infections. Better understanding of the relationship between subpatent infections and RDT-detected infections, and whether this relationship is different from imported versus locally acquired infections, is imperative to better understand the sources of infection and mechanisms of transmission to tailor more effective interventions. Methods Quantitative reverse transcriptase polymerase chain reaction (qRT-PCR) was performed on a sub-set of samples from the 2015 Malaria Indicator Survey to identify subpatent infections. Households with RDT(+) individuals were matched 1:4 with households with no RDT(+) individuals. The association between living in a household with an RDT(+) individual and having a subpatent infection was evaluated using multivariate hierarchical logistic regression models with inverse probability weights for selection. To evaluate possible modification of the association by potential importation of the RDT(+) case, the analysis was repeated among strata of matched sets based on the reported eight-week travel history of the RDT(+) individual(s). Results There were 142 subpatent infections detected in 1,400 individuals (10.0%). The prevalence of subpatent infections was higher in households with versus without an RDT(+) individual (15.0 vs 9.1%). The adjusted prevalence odds of subpatent infection were 2.59-fold greater (95% CI: 1.31, 5.09) for those in a household with an RDT(+) individual compared to individuals in a household without RDT(+) individuals. When stratifying by travel history of the RDT(+) individual, the association between subpatent infections and RDT(+) infections was stronger in the strata in which the RDT(+) individual(s) had not recently travelled (adjusted prevalence odds ratio (aPOR) 2.95; 95% CI:1.17, 7.41), and attenuated in the strata in which recent travel was reported (aPOR 1.76; 95% CI: 0.54, 5.67). Conclusions There is clustering of subpatent infections around RDT(+) individual(s) when both imported and local infection are suspected. Future control strategies that aim to treat whole households in which an RDT(+) individual is found may target a substantial portion of infections that would otherwise not be detected.

Factors associated with the use of insecticide-treated nets: analysis of the 2018 Burkina Faso Malaria Indicator Survey

Background Sleeping under an ITN reduces contact with mosquitoes through the combination of a physical barrier and an insecticidal effect, which reduces the incidence of malaria. The 2016–2020 Burkina Faso National Malaria Strategic Plan aims to have at least 90% of the population, 100% of children under age 5, and 100% of pregnant women sleep under an ITN. Methods The analysis examines individual, household, and community-level factors associated with ITN usage. According to the 2017–18 Burkina Faso MIS, 58% of individuals in households that own at least one ITN reported that they slept under an ITN on the night before the survey. Results The use of ITNs was significantly associated with individual, household, and community-level variables that included age, gender, age of household head, number of sleeping rooms, wealth, malaria prevalence, residence, and region. Conclusions The results highlight areas of intervention at the individual, household, and community levels that can increase ITN use.

Performance Evaluation of RDT, Light Microscopy, and PET-PCR for Detecting P. Falciparum Malaria Infections in the 2018 Zambia National Malaria Indicator Survey

BackgroundZambia continues to advance on the path to elimination with significant reductions in malaria morbidity and mortality. Crucial components that have contributed to progress thus far and are necessary for achieving the national malaria elimination goals include properly identifying and treating all malaria cases through accurate diagnosis. This study sought to compare and assess the diagnostic performance of RDTs and LM with PET-PCR as the gold standard using 2018 MIS data across Zambia to better understand diagnostic accuracy metrics and how these vary across a transmission gradient. MethodsCross-sectional samples collected in a nationally representative survey from 7 provinces in Zambia were tested for the presence of malaria parasites by light microscopy (LM), rapid diagnostic test (RDT) and the gold standard PET-PCR. Diagnostic performance was assessed including sensitivity, specificity, negative- and positive-predictive values across a wide malaria transmission spectrum. Diagnostic accuracy metrics were measured, and statistically significant differences were calculated between test methods for different outcome variables. ResultsFrom the individuals included in the MIS, the overall prevalence of P. falciparum malaria was 32.9% by RDT, 19.4% by LM, and 23.2% by PET-PCR. Herein, we compared RDT and LM diagnostic performance against gold standard PET-PCR and found that LM had higher diagnostic accuracy than RDTs (91.3% vs 84.6% respectively) across the transmission spectrum in Zambia. However, we found that the performance of both diagnostics was significantly reduced in low parasitemia samples. Consistent with previous studies, RDT diagnostic accuracy was predominantly affected by a high rate of false positives.ConclusionWhile LM performance is overall superior to RDTs, the additional requirements for its implementation such as high-quality staining, microscopes, and additional manpower, means that its application will remain at the health facility level. In contrast, while RDTs overestimate prevalence as they have a higher false positive rate, their ability to be rapidly deployed makes them an excellent community level tool. Overall, we found that the performance of both diagnostics was acceptable, and their use should be continued.

Results from a malaria indicator survey highlight the importance of routine data capture in high-risk forest and farm transmission sites in Vietnam to tailor location-specific malaria elimination interventions

In-line with the World Health Organization’s (WHO) Global Technical Strategy for Malaria (2016–2030), Vietnam is striving to eliminate malaria by 2030. Targeting appropriate interventions in high-risk populations such as forest and forest-fringe communities is a critical component of malaria elimination efforts in Vietnam. In 2016, a household-level malaria indicator survey was conducted in Phu Yen Province, Vietnam with the aim of assessing the knowledge, behaviors and associated risks of malaria infection among priority mobile and migrant populations (MMPs) working and sleeping in forests and on farms. A total of 4211 people were included in the survey, comprised of 1074 heads of households and 3137 associated household members. Of the 1074 head-of-household respondents, 472 slept in a forest, 92 slept on a farm, 132 slept in both forests and farms, and 378 slept at their villages within the last 12 months. Age, literacy, and occupation were significantly different among those who slept in a forest versus on a farm. Of 301 respondents who answered questions about malaria risk factors at sleeping sites, 35% were somewhat aware of malaria prevention practices, but only 4% could recall at least four malaria prevention messages. Among the same group of 301 respondents, only 29% used nets and only 11% used treated nets. Ownership and use of nets among forest-goers was significantly lower than those who slept on a farm or in their village. Huts without walls were significantly prominent forest sleeping site locations (POR = 10.3; 95% CI 4.67–22.7). All respondents who slept in a forest requested standby malaria drugs and one-third of them self-treated without blood testing. Results from this study highlight the importance of capturing relevant location-specific data among priority populations such as remote forest and farm going mobile and migrant populations in Vietnam. Data regarding behavioral practices, knowledge, preventative measures, and intervention coverage at remote-area transmission sites must be routinely captured to effectively monitor progress and refine targeted intervention strategies accordingly.

Inequities in childhood anaemia in Mozambique: results from multilevel Bayesian analysis of 2018 National Malaria Indicator Survey

Childhood anaemia is a common public health problem worldwide. The geographical patterns and underlying factors of childhood anaemia have been understudied in Mozambique. The objectives of this study were to identify the child, maternal, household, and community level determinants of anaemia among children aged 6-59 months, and the contribution of these factors to the variation in childhood anaemia at the community level in Mozambique. This is a cross sectional study that utilized data of a weighted population of 4,141 children aged 6-59 months delivered by women between 15-49 years of age, from the 2018 Mozambique Malaria Indicator Survey. Multilevel Bayesian linear regressions identified key determinants of childhood anaemia. Spatial analysis was used to determine geographic variation of anaemia at the community level and areas with higher risks. The overall national prevalence of childhood anaemia was 78-80.3%. There was provincial variation with Cabo Delgado province (86.2%) having highest prevalence, and Maputo province (70.2%) the lowest. Children with excess risk were mostly found in communities that had proximity to provincial borders: Niassa-Cabo Delgado-Nampula tri-provincial border, Gaza-Inhambane border, Zambezia-Nampula border, and provinces of Manica and Inhambane. Children with anaemia tended to be younger, males, and at risk of having malaria because they were not sleeping under mosquito nets. In addition, children from poor families and those living in female-headed households were prone to anaemia. This study provides evidence that anaemia among children aged 6-59 months is a severe public health threat across the provinces in Mozambique. It also identifies inequity in childhood anaemia, worse among communities living close to the provincial borders. We recommend interventions that would generate income for households, increase community support for households headed by women, improve malaria control, build capacity of healthcare workers to manage severely anaemic children and health education for mothers. More importantly, there is need to foster collaborations between communities, districts and provinces to strengthen maternal and child health programmes for the severely affected areas.

Beyond national indicators: adapting the Demographic and Health Surveys’ sampling strategies and questions to better inform subnational malaria intervention policy

In malaria-endemic countries, prioritizing intervention deployment to areas that need the most attention is crucial to ensure continued progress. Global and national policy makers increasingly rely on epidemiological data and mathematical modelling to help optimize health decisions at the sub-national level. The Demographic and Health Surveys (DHS) Program is a critical data source for understanding subnational malaria prevalence and intervention coverage, which are used for parameterizing country-specific models of malaria transmission. However, data to estimate indicators at finer resolutions are limited, and surveys questions have a narrow scope. Examples from the Nigeria DHS are used to highlight gaps in the current survey design. Proposals are then made for additional questions and expansions to the DHS and Malaria Indicator Survey sampling strategy that would advance the data analyses and modelled estimates that inform national policy recommendations. Collaboration between the DHS Program, national malaria control programmes, the malaria modelling community, and funders is needed to address the highlighted data challenges.

Predictors for the uptake of optimal doses of sulfadoxine-pyrimethamine for intermittent preventive treatment of malaria during pregnancy in Tanzania: further analysis of the data of the 2015–2016 Tanzania demographic and health survey and malaria indicator survey

Background In Tanzania, the uptake of optimal doses (≥ 3) of sulfadoxine-pyrimethamine for intermittent preventive treatment of malaria (IPTp-SP) during pregnancy has remained below the recommended target of 80%. Therefore, this study aimed to investigate the predictors for the uptake of optimal IPTp-SP among pregnant women in Tanzania. Methods This study used data from the 2015–16 Tanzania demographic and health survey and malaria indicator survey (TDHS-MIS). The study had a total of 4111 women aged 15 to 49 who had live births 2 years preceding the survey. The outcome variable was uptake of three or more doses of IPTp-SP, and the independent variables were age, marital status, education level, place of residence, wealth index, occupation, geographic zone, parity, the timing of first antenatal care (ANC), number of ANC visits and type of the health facility for ANC visits. Predictors for the optimal uptake of IPTp-SP were assessed using univariate and multivariable logistic regression. Results A total of 327 (8%) women had optimal uptake of IPTp-SP doses. Among the assessed predictors, the following were significantly associated with optimal uptake of IPTp-SP doses; education level [primary (AOR: 2.2, 95% CI 1.26–3.67); secondary or higher education (AOR: 2.1, 95% CI 1.08–4.22)], attended ANC at the first trimester (AOR: 2.4, 95% CI 1.20–4.96), attended ≥ 4 ANC visits (AOR: 1.9, 95% CI 1.34–2.83), attended government health facilities (AOR: 1.5, 95% CI 1.07–1.97) and geographic zone [Central (AOR: 5, 95% CI 2.08–11.95); Southern Highlands (AOR: 2.8, 95% CI 1.15–7.02); Southwest Highlands (AOR: 2.7, 95% CI 1.03–7.29); Lake (AOR: 3.5, 95% CI 1.51–8.14); Eastern (AOR: 1.5, 95% CI 1.88–11.07)]. Conclusions The uptake of optimal IPTp-SP doses is still low in Tanzania. The optimal uptake of IPTp-SP was associated with attending ANC in the first trimester, attending more than four ANC visits, attending government health facility for ANC, having primary, secondary, or higher education level, and geographic zone. Therefore, there is a need for health education and behavior change interventions with an emphasis on the optimal use of IPTp-SP doses.