Introduction The novel coronavirus disease 2019 (COVID-19) continues to disrupt the availability and utilization of routine and emergency health care services, with differing impacts in jurisdictions across the world. In this scoping review, we set out to synthesize documentation of the direct and indirect effect of the pandemic, and national responses to it, on maternal, newborn and child health (MNCH) in Africa. Methods A scoping review was conducted to provide an overview of the most significant impacts identified up to March 15, 2022. We searched MEDLINE, Embase, HealthSTAR, Web of Science, PubMed, and Scopus electronic databases. We included peer reviewed literature that discussed maternal and child health in Africa during the COVID-19 pandemic, published from January 2020 to March 2022, and written in English. Papers that did not focus on the African region or an African country were excluded. A data-charting form was developed by the two reviewers to determine which themes to extract, and narrative descriptions were written about the extracted thematic areas. Results Four-hundred and seventy-eight articles were identified through our literature search and 27 were deemed appropriate for analysis. We identified three overarching themes: delayed or decreased care, disruption in service provision and utilization and mitigation strategies or recommendations. Our results show that minor consideration was given to preserving and promoting health service access and utilization for mothers and children, especially in historically underserved areas in Africa. Conclusions Reviewed literature illuminates the need for continued prioritization of maternity services, immunization, and reproductive health services. This prioritization was not given the much-needed attention during the COVID-19 pandemic yet is necessary to shield the continent’s most vulnerable population segments from the shocks of current and future global health emergencies.
The co-infection of Tuberculosis with HIV has continually placed an immense burden on public health systems, mostly in Low and Middle Income (LMIC) countries. We present a geographical analysis of current intervention programs and prevalence rates in two West African states (Ghana and Nigeria). In some regions with higher co-infection rates and dense population, interventions were seen to be relatively lower, relative to other less densely populated regions. A hybrid mathematical and agent-based model for determining optimal treatment strategy for Active TB and HIV co-infection is presented. Deterministic mathematical equations for each sub-model were implemented in continuous models. Analysis of our model output indicates that full treatment of active TB prior to the commencement of HIV treatment could be more effective in eradicating TB. In resource-scarce settings, intervention programs should be geared towards detecting and treating HIV negative individuals infected with active TB disease, as a method of preventing co-infection.
IntroductionThe novel coronavirus disease 2019 (COVID-19) continues to disrupt the availability and utilization of routine and emergency health care services, with differing impacts in jurisdictions across the world. In this scoping review, we set out to synthesize documentation of the direct and indirect effect of the pandemic, and national responses to it, on maternal and child health (MNCH) in Africa.MethodsA scoping review was conducted to provide an overview of the most significant impacts identified up to February 2021. Our search included peer reviewed literature, working papers and news articles with the intent to capture evolving and novel updates on the topic. Narrative descriptions were written about thematic areas for which the authors extracted the most evidence.ResultsOne hundred and fifty-five articles were identified through our literature search and 17 were deemed appropriate for analysis. We identified three overarching themes: delayed care, disruption in service provision and utilization and mitigation strategies or recommendation.DiscussionAvailable literature suggests widespread service cutbacks amid a mosaic of mitigation strategies. Our results show that minor consideration was given to preserving health service access for mothers and children, especially in historically underserved areas. Lack of emergency preparedness and infrastructural constraints prevented useful approaches such as telemedicine from being meaningfully utilized.ConclusionsOur scoping review shows that limited research has been published on this topic. Reviewed literature illuminates the continuing need and prioritization for maternity services, immunization, and reproductive health services, which have not been prioritized during the pandemic, yet are necessary to shield the continent’s most vulnerable population segments from the shocks of current and future global health emergencies.
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Objectives: The potential burden of COVID-19 in sub-Saharan African might be substantially more significant than reported, and more than the existing health system can handle. Hence, in this study, we estimate and project the burden and transmission risk of COVID-19, in Nigeria, using current interventions. Methods: Modified SEIR epidemic mathematical model was used to simulate the disease progression in weeks, for up to 19 weeks. Different situations, involving zero-intervention and varying degrees of interventions are modeled. For the intervention phase, 25% and 75% social distancing are considered, while border closure includes 80% closure of airports, seaports, and intra-state borders, using available data as of 15th May 2020. Results: The effects of various interventions on the R0 of COVID-19 are presented. A higher percentage of social distancing appears to be more effective in controlling the spread of COVID-19 in Nigeria than border closure. Up to 131,000 persons could be infected if there are no interventions. Conclusion: According to our results, it is easier to enforce 75% closures than 25%, as the percentage of the population complying with social distancing is higher when at least 75% of public places were closed. The minimum requirement of the population percentage that needs to comply with the social distancing advice, to weaken the epidemic can be obtained from the model.
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