Typologie Des Gîtes Larvaires Et Résistance Des Vecteurs Du Paludisme A La Deltaméthrine Dans les Milieux Urbain Et Rural Du Département De l’Atlantique Au Sud Du Bénin: Données Préliminaires

La lutte antilarvaire récemment recommandée par l’OMS, requiert une connaissance approfondie de la distribution et de la typologie des gîtes larvaires des vecteurs du paludisme. L’objectif de cette étude est d’identifier les différents gîtes larvaires des anophèles et leur mécanisme de résistance à la deltaméthrine. Des prospections larvaires ont été effectuées en 2017 durant les saisons pluvieuses et sèches dans trois communes au sud du Bénin. Les moustiques issus de l’émergence des larves ont été soumis à la deltaméthrine et au bendiocarb selon le protocole de l’OMS. L’identification moléculaire des anophèles et le génotypage de la mutation Kdr ont été réalisés par PCR et l’expression des oxydases, des estérases α et β, et des GST ont été mesurées. Les prospections larvaires ont permis de répertorier 37 gîtes larvaires regroupés en 13 types. La majorité des gîtes étaient anthropiques. La densité larvaire variait d’un type de gîtes à l’autre. An. coluzzii et An. gambiae étaient les deux vecteurs du paludisme vivant en sympatrie dans lestroissites d’étude. Ils sont fortement résistants à la deltaméthrine avec la présence de la mutation kdr à des fréquences très élevées et une augmentation des activités des estérases dans les populations d’anophèles collectés à Zè et des GST à Abomey-Calavi et Allada. La prolifération des vecteurs du paludisme serait imputable à l’insalubrité de l’environnement immédiat et aux activités anthropiques qui créent et assurent le maintien des gîtes larvaires. Ces données pourraient servir au renforcement des stratégies de lutte contre le paludisme déjà en cours. Anopheles larval control, recently recommended by WHO, requires a deep knowledge of the distribution and typology of larval breeding sites. The objective of this study is to identify the different larval habitats colonized by Anopheles and their insecticide resistance mechanism. Larval surveys were carried out in three Districts in south of Benin in 2017, during the rainy and dry seasons. Mosquitoes breeding sites have been characterized and mapped. Mosquitoes from the emergence of larvae were tested to deltamethrin and bendiocarb according to the WHO protocol. The molecular identification of anopheles and the genotyping of the kdr mutation were performed by PCR and the expression of oxidases, esterases, and GSTs was measured. Larval surveys have identified 37 breeding sites categorized into 13 types. Most of the larval habitats were anthropogenics. An. coluzzii and An. gambiae were the two malaria vectors found in sympatric in the three study sites. These two vectors were highly resistant to deltamethrin with the presence of the kdr L1014F mutation at very high frequencies and an increase in esterase activities in anopheline populations collected in Zè and GST in Abomey-Calavi and Allada. The proliferation of malaria vectors is attributable to the unhealthy environment and human activities that create and maintain mosquito breeding. This study highlighted diversity in the type of breeding site of An. gambiae s.s in the Atlantic Department, suggesting the adaptation of this species in its environment. These results could be used to develop an antilarval control strategy in Abomey-Calavi, Zè and in Allada

Development of nine microsatellite loci for <i>Trypanosoma lewisi</i>, a potential human pathogen in Western Africa and South-East Asia, and preliminary population genetics analyses

This manuscript (word file), presents results obtained while developing microsatellite markers for the parasite T. lewisi and the first population genetics data analysis for this species. This parasite is found mainly in rodents (rats) and is transmitted by fleas. To this respect, it shares the same cycle as other human pathogens (plague, murine typhus) The first results suggest that the subpopulation unit for these parasite populations may be found at very small scales, neighborhoods of cities, and probably even at lower scales (e.g. homes). Data also suggest an operational life cycle (generation time) of 1-2 months, as for other trypanosome species. The excel file contains all raw data. These results, even if they need being refined, but already shed some light on the ecology of this host-parasite-vector system, together with the ecology of other pathogenic agents sharing the same cycle

The evolving SARS-CoV-2 epidemic in Africa: Insights from rapidly expanding genomic surveillance

INTRODUCTION Investment in Africa over the past year with regard to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) sequencing has led to a massive increase in the number of sequences, which, to date, exceeds 100,000 sequences generated to track the pandemic on the continent. These sequences have profoundly affected how public health officials in Africa have navigated the COVID-19 pandemic. RATIONALE We demonstrate how the first 100,000 SARS-CoV-2 sequences from Africa have helped monitor the epidemic on the continent, how genomic surveillance expanded over the course of the pandemic, and how we adapted our sequencing methods to deal with an evolving virus. Finally, we also examine how viral lineages have spread across the continent in a phylogeographic framework to gain insights into the underlying temporal and spatial transmission dynamics for several variants of concern (VOCs). RESULTS Our results indicate that the number of countries in Africa that can sequence the virus within their own borders is growing and that this is coupled with a shorter turnaround time from the time of sampling to sequence submission. Ongoing evolution necessitated the continual updating of primer sets, and, as a result, eight primer sets were designed in tandem with viral evolution and used to ensure effective sequencing of the virus. The pandemic unfolded through multiple waves of infection that were each driven by distinct genetic lineages, with B.1-like ancestral strains associated with the first pandemic wave of infections in 2020. Successive waves on the continent were fueled by different VOCs, with Alpha and Beta cocirculating in distinct spatial patterns during the second wave and Delta and Omicron affecting the whole continent during the third and fourth waves, respectively. Phylogeographic reconstruction points toward distinct differences in viral importation and exportation patterns associated with the Alpha, Beta, Delta, and Omicron variants and subvariants, when considering both Africa versus the rest of the world and viral dissemination within the continent. Our epidemiological and phylogenetic inferences therefore underscore the heterogeneous nature of the pandemic on the continent and highlight key insights and challenges, for instance, recognizing the limitations of low testing proportions. We also highlight the early warning capacity that genomic surveillance in Africa has had for the rest of the world with the detection of new lineages and variants, the most recent being the characterization of various Omicron subvariants. CONCLUSION Sustained investment for diagnostics and genomic surveillance in Africa is needed as the virus continues to evolve. This is important not only to help combat SARS-CoV-2 on the continent but also because it can be used as a platform to help address the many emerging and reemerging infectious disease threats in Africa. In particular, capacity building for local sequencing within countries or within the continent should be prioritized because this is generally associated with shorter turnaround times, providing the most benefit to local public health authorities tasked with pandemic response and mitigation and allowing for the fastest reaction to localized outbreaks. These investments are crucial for pandemic preparedness and response and will serve the health of the continent well into the 21st century

Pour une clinique du prénom (analyse d'un mode d'attribution du prénom au Sud du Bénin)

PARIS7-Bibliothèque centrale (751132105) / SudocSudocFranceF

Maritime international trade and bioinvasions: A three‐year long survey of small mammals in Autonomous Port of Cotonou, Benin

International audience1. International trade has been favouring the dissemination of a wide suite of invasive alien species. Upstream prevention through the monitoring of entry points is identified as an appropriate strategy to achieve control of bioinvasions and their consequences. Maritime transportation has been responsible for the introduction worldwide of exotic rodents that are major pests for crops and food stocks as well as reservoirs of many zoonotic pathogens. In order to limit further dissemination, the International Health Regulation constrains decisions makers and socio-economic stakeholders to manage ship-mediated import/export of rodents within seaports.2. Unfortunately, eco-evolutionary insights into rodent introduction events that could guide preventive actions in seaports are very scarce. In order to bridge this gap, we here describe the results of a 3 year-long survey of small mammals conducted in the Port of Cotonou, Benin.3. Our aim was to assess the spatiotemporal distribution, diversity and relative abundance of invasive and native rodents.4. 960 small mammal individuals were captured in nine within-seaport sites. We found (i) a marked predominance of invasive species (84% of the individuals belonging to Mus musculus, Rattus rattus, R. norvegicus), (ii) with native species (i.e. Mastomys natalensis and the shrew Crocidura olivieri) essentially restricted to peripheral non-industrial areas, as well as (iii) a fine-scale spatial segregation stable over time between the invasive Norway rats and house mice on the one hand, and the black rats and shrews on the other hand.5. Furthermore, trapping before and after two successive rodent control campaigns indicates that they were ineffective and that subsequent rodent recolonisation occurred 6–12 months following intervention.6. Synthesis and applications. Our results are discussed in terms of ecological processes at play (e.g. interspecific interactions) and operational recommendations (e.g. assessment of proper eradication units, environmental modifications)

Factors associated with an undetectable HIV₁ RNA plasma load at the end of pregnancy; multivariate logistic regression (N = 208).

<p>AOR, adjusted odds ratio; CI, confidence interval; ART, antiretroviral therapy, PMTCT, prevention of mother-to-child transmission; ANC, antenatal care. The P values presented were computed with the Wald test. Of the 217 women with a third pregnancy HIV viral load determined, 9 were not included in the multivariate analysis because the HIV viral load at enrolment was missing.</p>1<p>Adjustment covariates forced in the multivariate models (for study site, 4 dummy variables).</p>2<p>The Fon ethnic group is the predominant ethnic group in South of Benin where the study took place.</p

Women's characteristics (N = 217).

<p>SD, standard deviation; IQR, interquartile range; ART, antiretroviral therapy; ANC, antenatal care.</p>1<p>The Fon ethnic group is the predominant ethnic group in South of Benin where the study took place.</p>2<p>Defined by four or more of the pre-specified household assets: toilets, electricity, a refrigerator, television, motorbike, car.</p>3<p>Median value and interquartile range are presented for the time since HIV diagnosis; 43% of enrolled women had been diagnosed during the ongoing pregnancy.</p>4<p>Virologic failure defined as the persistence of pVL>5000 copies/ml after 6 months of ART.</p>5<p>If more than one malaria event (n = 6), the gestational age at the first event was considered.</p

Factors associated with an undetectable HIV₁ RNA plasma load at the end of pregnancy; univariate logistic regression (N = 217).

<p>OR, odds ratio; CI, confidence interval; ART, antiretroviral therapy, PMTCT, prevention of mother-to-child transmission; ANC, antenatal care. The P values presented were computed with the Wald test.</p>1<p>The Fon ethnic group is the predominant ethnic group in South of Benin where the study took place.</p>2<p>For categories, the proportion of women with undetectable HIV1 RNA load is presented. For continuous variables, the mean in the undetectable group versus detectable group is presented. For continuous variables, means in the undetectable group versus detectable group are presented.</p>3<p>For the 6 patients who presented with two consecutive malaria episodes, the gestational age at the first one was considered.</p