Spatio - temporal modelling assessing the burden of malaria in affected low and middle-income countries: a scoping review

Odhiambo, Julius Nyerere; Sartorius, Benn

doi:10.1136/bmjopen-2018-023071

Cited by 2 publications

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“…The protocol guiding this review has been previously published. 14 Our results are reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. 15 16 A notable deviation from our protocol was limiting the review scope to SSA where the burden of malaria is highest and countries have broadly similar malaria vector and parasite ecologies and health system contexts, compared with low-income and middle-income countries.…”

Section: Methodsmentioning

confidence: 99%

Spatial and spatio-temporal methods for mapping malaria risk: a systematic review

et al. 2020

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BackgroundApproaches in malaria risk mapping continue to advance in scope with the advent of geostatistical techniques spanning both the spatial and temporal domains. A substantive review of the merits of the methods and covariates used to map malaria risk has not been undertaken. Therefore, this review aimed to systematically retrieve, summarise methods and examine covariates that have been used for mapping malaria risk in sub-Saharan Africa (SSA).MethodsA systematic search of malaria risk mapping studies was conducted using PubMed, EBSCOhost, Web of Science and Scopus databases. The search was restricted to refereed studies published in English from January 1968 to April 2020. To ensure completeness, a manual search through the reference lists of selected studies was also undertaken. Two independent reviewers completed each of the review phases namely: identification of relevant studies based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, data extraction and methodological quality assessment using a validated scoring criterion.ResultsOne hundred and seven studies met the inclusion criteria. The median quality score across studies was 12/16 (range: 7–16). Approximately half (44%) of the studies employed variable selection techniques prior to mapping with rainfall and temperature selected in over 50% of the studies. Malaria incidence (47%) and prevalence (35%) were the most commonly mapped outcomes, with Bayesian geostatistical models often (31%) the preferred approach to risk mapping. Additionally, 29% of the studies employed various spatial clustering methods to explore the geographical variation of malaria patterns, with Kulldorf scan statistic being the most common. Model validation was specified in 53 (50%) studies, with partitioning data into training and validation sets being the common approach.ConclusionsOur review highlights the methodological diversity prominent in malaria risk mapping across SSA. To ensure reproducibility and quality science, best practices and transparent approaches should be adopted when selecting the statistical framework and covariates for malaria risk mapping. Findings underscore the need to periodically assess methods and covariates used in malaria risk mapping; to accommodate changes in data availability, data quality and innovation in statistical methodology.

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Section: Methodsmentioning

confidence: 99%

Spatial and spatio-temporal methods for mapping malaria risk: a systematic review

et al. 2020

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“…Major complications of malaria include severe anemia, respiratory distress, renal failure, and death ( White, 2018 ). Approximately 3.2 billion people live in endemic regions such as sub-Saharan Africa, which accounts for over 90% of malaria-related cases and deaths ( Odhiambo and Sartorius, 2018 ; World Health Organization, 2020 ). Health initiatives such as antimalarial therapies, insecticide-treated nets, and indoor residual spraying have greatly reduced the global burden of malaria ( Kenangalem et al, 2019 ; Centers for Disease Control and Prevention, 2019a ; Choi et al, 2019 ).…”

Section: Introductionmentioning

confidence: 99%

Temporal trends of gestational malaria in the United States

Alexander

Dongarwar

Oduguwa

et al. 2020

Parasite Epidemiology and Control

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Background Although regarded as rare in the United States (US), increased global traffic and importation of malaria from endemic countries may lead to a rise in gestational malaria in the US. Methods This multi-year retrospective study analyzed trends in diagnosed cases of gestational malaria from 2002 to 2017 using joinpoint regression models. We also assessed the association between gestational malaria and selected maternal-fetal adverse outcomes. Results Mothers diagnosed with gestational malaria tended to be older, and the majority of diagnosed cases (52.9%) were among Non-Hispanic (NH) Blacks. Diagnosed cases of gestational malaria are on the rise in the US. Mothers diagnosed with gestational malaria were 5 times as likely (OR = 5.05, 95% CI: 4.05–6.29) to be anemic as compared to those without malaria. Compared to NH-Whites, NH-Black mothers were twice as likely to experience stillbirth, had nearly 50% greater adjusted odds of severe preeclampsia, and had about 30% elevated likelihood for preterm labor. Conclusions There is a need to dedicate appropriate resources to identify women that are at risk for gestational malaria in order to prevent related pregnancy complications.

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Spatio - temporal modelling assessing the burden of malaria in affected low and middle-income countries: a scoping review

Cited by 2 publications

References 29 publications

Spatial and spatio-temporal methods for mapping malaria risk: a systematic review

Spatial and spatio-temporal methods for mapping malaria risk: a systematic review

Temporal trends of gestational malaria in the United States

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