Increasing the uptake of Intermittent Preventive Treatment of malaria in pregnancy using Sulfadoxine-Pyrimethamine (IPTp-SP) through seasonal malaria chemoprevention channel delivery: protocol of a multicenter cluster randomized implementation trial in Mali and Burkina Faso.

BACKGROUND: The uptake of Intermittent Preventive Treatment of malaria in pregnancy using Sulfadoxine-Pyrimethamine (IPTp-SP) remains unacceptably low, with more than two-thirds of pregnant women in sub-Saharan Africa still not accessing the three or more doses recommended by the World Health Organisation (WHO). In contrast, the coverage of Seasonal Malaria Chemoprevention (SMC), a more recent strategy recommended by the WHO for malaria prevention in children under five years living in Sahelian countries with seasonal transmission, including Mali and Burkina-Faso, is high (up to 90%). We hypothesized that IPTp-SP delivery to pregnant women through SMC alongside antenatal care (ANC) will increase IPTp-SP coverage, boost ANC attendance, and increase public health impact. This protocol describes the approach to assess acceptability, feasibility, effectiveness, and cost-effectiveness of the integrated strategy. METHODS AND ANALYSIS: This is a multicentre, cluster-randomized, implementation trial of IPTp-SP delivery through ANC + SMC vs ANC alone in 40 health facilities and their catchment populations (20 clusters per arm). The intervention will consist of monthly administration of IPTp-SP through four monthly rounds of SMC during the malaria transmission season (July to October), for two consecutive years. Effectiveness of the strategy to increase coverage of three or more doses of IPTp-SP (IPTp3 +) will be assessed using household surveys and ANC exit interviews. Statistical analysis of IPT3 + and four or more ANC uptake will use a generalized linear mixed model. Feasibility and acceptability will be assessed through in-depth interviews and focus group discussions with health workers, pregnant women, and women with a child < 12 months. DISCUSSION: This multicentre cluster randomized implementation trial powered to detect a 45% and 22% increase in IPTp-SP3 + uptake in Mali and Burkina-Faso, respectively, will generate evidence on the feasibility, acceptability, effectiveness, and cost-effectiveness of IPTp-SP delivered through the ANC + SMC channel. The intervention is designed to facilitate scalability and translation into policy by leveraging existing resources, while strengthening local capacities in research, health, and community institutions. Findings will inform the local national malaria control policies. TRIAL REGISTRATION: Retrospectively registered on August 11th, 2022; registration # PACTR202208844472053. Protocol v4.0 dated September 04, 2023. Trail sponsor: University of Sciences Techniques and Technologies of Bamako (USTTB), Mali.

Sub-national tailoring of seasonal malaria chemoprevention in Mali based on malaria surveillance and rainfall data.

BACKGROUND: In malaria endemic countries, seasonal malaria chemoprevention (SMC) interventions are performed during the high malaria transmission in accordance with epidemiological surveillance data. In this study we propose a predictive approach for tailoring the timing and number of cycles of SMC in all health districts of Mali based on sub-national epidemiological surveillance and rainfall data. Our primary objective was to select the best of two approaches for predicting the onset of the high transmission season at the operational scale. Our secondary objective was to evaluate the number of malaria cases, hospitalisations and deaths in children under 5 years of age that would be prevented annually and the additional cost that would be incurred using the best approach. METHODS: For each of the 75 health districts of Mali over the study period (2014-2019), we determined (1) the onset of the rainy season period based on weekly rainfall data; (ii) the onset and duration of the high transmission season using change point analysis of weekly incidence data; and (iii) the lag between the onset of the rainy season and the onset of the high transmission. Two approaches for predicting the onset of the high transmission season in 2019 were evaluated. RESULTS: In the study period (2014-2019), the onset of the rainy season ranged from week (W) 17 (W17; April) to W34 (August). The onset of the high transmission season ranged from W25 (June) to W40 (September). The lag between these two events ranged from 5 to 12 weeks. The duration of the high transmission season ranged from 3 to 6 months. The best of the two approaches predicted the onset of the high transmission season in 2019 to be in June in two districts, in July in 46 districts, in August in 21 districts and in September in six districts. Using our proposed approach would prevent 43,819 cases, 1943 hospitalisations and 70 deaths in children under 5 years of age annually for a minimal additional cost. Our analysis shows that the number of cycles of SMC should be changed in 36 health districts. CONCLUSION: Adapting the timing of SMC interventions using our proposed approach could improve the prevention of malaria cases and decrease hospitalisations and deaths. Future studies should be conducted to validate this approach.

[Study on the clinical and epidemiological characteristics of the first 1030 cases of covid-19 in Mali]. / Etude sur les caracteristiques cliniques et epidemiologiques des 1030 premiers cas de covid-19 au Mali.

AIMS: Since the confirmation of the first cases of COVID-19 in Mali in March 2020 and the outbreakspreading to the whole country, clinical and epidemiological data fromaffected patients are used to characterize the disease. This study was to describe the clinica lsigns and epidemiologicalparameters of COVID-19 in the Malian context. MATERIALS AND METHODS: This is a cross-sectional study. All confirmed cases of COVID-19 in Mali between March 25, 2020 to May 24, 2020 have been included. Clinical and epidemiological data from patients with COVID-19 were extracted from the official line list of cases and the national reference laboratory register. RESULTS: The mean age of the 1,030 patients was 45.6 ± 18.4 years; 67.2% of patients were men. Asymptomatic patients accounted for 31.1%. The most common symptoms on admission were cough (60.8%) followed by fever (47.6%). The largest number of cases was recorded in Bamako. CONCLUSION: SARS-CoV-2 infection of the first 1,030 cases in Mali was marked by the predominance of cough and fever.

BUTS: Depuis la confirmation des premiers cas de COVID-19 au Mali en Mars 2020 et sa propagation à tout le pays, des données cliniques et épidémiologiques des patients atteints sont utilisées pour caractériser la maladie. Cette étude avait pour objectif d'étudier les signes cliniques et épidémiologiques de la COVID-19 dans le contexte malien. MATÉRIELS ET MÉTHODES: Il s'agit d'une étude transversale. Tous les cas confirmés de COVID-19 du Mali entre le 25 Mars 2020 au 24 Mai 2020 ont été inclus. Les données cliniques et épidémiologiques des patients atteints de COVID-19ont été extraites. RÉSULTATS: L'âge moyen descas était de 45,6±18,4 ans ; 67,2% des patients étaient des hommes. Les patients asymptomatiques représentaient 31,1%. Les symptômes les plus courants à l'admission étaient la toux (60,8%) suivi de la fièvre (47,6%). Le plus grand nombre de cas a été enregistré à Bamako. CONCLUSION: L'infection par le SARS-CoV-2 des 1 030 premiers cas au Mali a été marquée par la prédominance de la toux et de la fièvre.

[Clinical and epidemiological characteristic of COVID-19 deaths in Mali]. / Caracteristiques clinique et epidemiologique des deces COVID-19 au Mali.

INTRODUCTION: Mali recorded its first COVID-19's death related case on March 26, 2020. The aim of this study was to evaluate the comorbidity of COVID-19's death related cases in the Malian context. METHOD: A cross-sectional study was conducted between March 25 and October 11, 2020. Community death information was analyzed from the patient descriptive list, and from the hospitalization registry of the treatment sites. RESULT: Of the 3,286 COVID-19 confirmed cases, 132 died making a lethality rate of 4.00% (132/3286). Men were the most represented with 75.76% (100/132). The mean age was 63.77 ± 15.25 years. The mean time of hospital stay was 4.50 days ± 6.35. Diabetes and cardiovascular disease remain the most frequent comorbidities with death patients with 20.45% and 17.42%, respectively. CONCLUSION: The results of this study allow to draw map of patients who died from COVID-19 as well as provide information on the comorbidities for better management of hospitalized patients.

INTRODUCTION: Le Mali a enregistré son premier cas de décès lié à la COVID-19, le 26 mars 2020.Le but de cette étude est d'étudier la comorbidité des cas de décès de COVID-19 dans le contexte malien. MÉTHODE: Il s'agissait d'une étude transversale allant de la période du 25 mars au 11 octobre 2020. Nous avons réalisé une analyse des informations de la liste descriptives des cas pour les décès communautaire et des registres d'hospitalisation des sites de prise en charge. RÉSULTAT: Sur les 3286 cas confirmés par la COVID-19, 132 malades en sont décédés soit une létalité de4,00%. Les hommes étaient les plus représentés avec 75,76 % (100/132). La moyenne d'âge était de 63,77 ans ± 15,25. La durée moyenne d'hospitalisation était de4,50 jours ± 6,35. Le diabète et l'HTA étaient les facteurs de comorbidité les plus fréquents rencontrés dans les cas de décès avec respectivement 20,45% et 17,42%. CONCLUSION: Cette étude a montré que les cas de décès liés au COVID-19 au Mali étaient observés chez les personnes âgées, diabétiques et hypertendues. Ces informations aideront à optimiser la prise en charge des malades hospitalisés.

Improving Case-Based Meningitis Surveillance in 5 Countries in the Meningitis Belt of Sub-Saharan Africa, 2015-2017.

BACKGROUND: The MenAfriNet consortium was established in 2014 to support implementation of case-based meningitis surveillance in 5 countries in the meningitis belt of sub-Saharan Africa: Burkina Faso, Chad, Mali, Niger, and Togo. Assessing surveillance performance is critical for interpretation of the collected data and implementation of future surveillance-strengthening initiatives. METHODS: Detailed epidemiologic and laboratory data were collected on suspected meningitis cases through case-based meningitis surveillance in participating districts in 5 countries. Performance of case-based surveillance was evaluated through sensitivity of case ascertainment in case-based versus aggregate meningitis surveillance and an analysis of surveillance indicators. RESULTS: From 2015 to 2017, 18 262 suspected meningitis cases were identified through case-based surveillance and 16 262 were identified through aggregate surveillance, for a case ascertainment sensitivity of 112.3%. Among suspected cases, 16 885 (92.5%) had a cerebrospinal fluid (CSF) specimen collected, 13 625 (80.7%) of which were received at a national reference laboratory. Among these, 13 439 (98.6%) underwent confirmatory testing, and, of those tested, 4371 (32.5%) were confirmed for a bacterial pathogen. CONCLUSIONS: Overall strong performance for case ascertainment, CSF collection, and laboratory confirmation provide evidence for the quality of MenAfriNet case-based surveillance in evaluating epidemiologic trends and informing future vaccination strategies.