Dataset Information

The COVID-19 pandemic in francophone West Africa: from the first cases to responses in seven countries.

ABSTRACT:

Background

In early March 2020, the COVID-19 pandemic hit West Africa. In response, countries in the region quickly set up crisis management committees and implemented drastic measures to stem the spread of the SARS-CoV-2 virus. The objective of this article is to analyse the epidemiological evolution of COVID-19 in seven Francophone West African countries (Benin, Burkina Faso, Côte d'Ivoire, Guinea, Mali, Niger, Senegal) as well as the public health measures decided upon during the first 7 months of the pandemic.

Methods

Our method is based on quantitative and qualitative data from the pooling of information from a COVID-19 data platform and collected by a network of interdisciplinary collaborators present in the seven countries. Descriptive and spatial analyses of quantitative epidemiological data, as well as content analyses of qualitative data on public measures and management committees were performed.

Results

Attack rates (October 2020) for COVID-19 have ranged from 20 per 100,000 inhabitants (Benin) to more than 94 per 100,000 inhabitants (Senegal). All these countries reacted quickly to the crisis, in some cases before the first reported infection, and implemented public measures in a relatively homogeneous manner. None of the countries implemented country-wide lockdowns, but some implemented partial or local containment measures. At the end of June 2020, countries began to lift certain restrictive measures, sometimes under pressure from the general population or from certain economic sectors.

Conclusion

Much research on COVID-19 remains to be conducted in West Africa to better understand the dynamics of the pandemic, and to further examine the state responses to ensure their appropriateness and adaptation to the national contexts.

SUBMITTER: Bonnet E

PROVIDER: S-EPMC8327893 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:IntroductionFour years after the devastating Ebola outbreak, governments in West Africa were quick to implement non-pharmaceutical interventions (NPIs) in response to the rapid spread of SARS-CoV-2. The NPIs implemented included physical distancing, closure of schools and businesses, restrictions on public gatherings and mandating the use of face masks among others. In the absence of widely available vaccinations, NPIs were the only known means to try to slow the spread of COVID-19. While numerous studies have assessed the effectiveness of these NPIs in high-income countries, less is known about the processes that lead to the adoption of policies and the factors that influence their implementation and adherence in low-income and middle-income countries. The objective of this scoping review is to understand the extent and type of evidence in relation to the policy formulation, decision-making and implementation stages of NPIs in West Africa.Methods and analysisA scoping review will be undertaken following the guidance developed by Arskey and O'Malley, the Joanna Briggs Institute (JBI) methodology for scoping reviews and the PRISMA guidelines for Scoping Reviews. Both peer-reviewed and grey literature will be searched using Web of Science, Embase, Scopus, APA PsycInfo, WHO Institutional Repository for Information Sharing, JSTOR and Google Advanced Search, and by searching the websites of the WHO, and the West African Health Organisation. Screening will be conducted by two reviewers based on inclusion and exclusion criteria, and data will be extracted, coded and narratively synthesised.Ethics and disseminationWe started this scoping review in May 2023, and anticipate finishing by April 2024. Ethics approval is not required since we are not collecting primary data. This protocol was registered at Open Science Framework (https://osf.io/gvek2/). We plan to disseminate this research through publications, conference presentations and upcoming West African policy dialogues on pandemic preparedness and response.

Project description:BackgroundThe COVID-19 pandemic has disrupted health services worldwide, which may have led to increased mortality and secondary disease outbreaks. Disruptions vary by patient population, geographic area, and service. While many reasons have been put forward to explain disruptions, few studies have empirically investigated their causes.ObjectiveWe quantify disruptions to outpatient services, facility-based deliveries, and family planning in seven low- and middle-income countries during the COVID-19 pandemic and quantify relationships between disruptions and the intensity of national pandemic responses.MethodsWe leveraged routine data from 104 Partners In Health-supported facilities from January 2016 to December 2021. We first quantified COVID-19-related disruptions in each country by month using negative binomial time series models. We then modelled the relationship between disruptions and the intensity of national pandemic responses, as measured by the stringency index from the Oxford COVID-19 Government Response Tracker.ResultsFor all the studied countries, we observed at least one month with a significant decline in outpatient visits during the COVID-19 pandemic. We also observed significant cumulative drops in outpatient visits across all months in Lesotho, Liberia, Malawi, Rwanda, and Sierra Leone. A significant cumulative decrease in facility-based deliveries was observed in Haiti, Lesotho, Mexico, and Sierra Leone. No country had significant cumulative drops in family planning visits. For a 10-unit increase in the average monthly stringency index, the proportion deviation in monthly facility outpatient visits compared to expected fell by 3.9% (95% CI: -5.1%, -1.6%). No relationship between stringency of pandemic responses and utilisation was observed for facility-based deliveries or family planning.ConclusionsContext-specific strategies show the ability of health systems to sustain essential health services during the pandemic. The link between pandemic responses and healthcare utilisation can inform purposeful strategies to ensure communities have access to care and provide lessons for promoting the utilisation of health services elsewhere.

Project description:ObjectivesMortality statistics on the COVID-19 pandemic have led to widespread concern and fear. To contextualise these data, we compared mortality related to COVID-19 during the first wave of the pandemic across seven countries in Europe with all and common causes of death, stratifying by age and sex. We also calculated deaths as a proportion of the population by age and sex.Study designAnalysis of population mortality data.MethodsCOVID-19 related mortality and population statistics from seven European countries were extracted: England and Wales, Italy, Germany, Spain, France, Portugal and Netherlands. Available data spanned 14-16 weeks since the first recorded deaths in each country, except Spain, where only comparable stratified data over an 8-week time period was available. The Global Burden of Disease database provided data on all deaths and those from pneumonia, cardiovascular disease combining ischaemic heart disease and stroke, chronic obstructive pulmonary disease, cancer, road traffic accidents and dementia in 2017.ResultsDeaths related to COVID-19, while modest overall, varied considerably by age. Deaths as a percentage of all cause deaths during the time period under study ranged from <0.01% in children in Germany, Portugal and Netherlands, to as high as 41.65% for men aged over 80 years in England and Wales. The percentage of the population who died from COVID-19 was less than 0.2% in every age group under the age of 80. In each country, over the age of 80, these proportions were: England and Wales 1.27% males, 0.87% females; Italy 0.6% males, 0.38% females; Germany 0.13% males, 0.09% females; France 0.39% males, 0.2% females; Portugal 0.2% males, 0.15% females; and Netherlands 0.6% males, 0.4% females.ConclusionsMortality rates from COVID-19 during the first wave of the pandemic were low including when compared to other common causes of death and are likely to decline further while control measures are maintained, treatments improve and vaccination is instituted. These data may help people to contextualise their risk and for decision-making by policymakers.