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A vast silvicultural experiment was set up in 1982 nearby the town of M'Baïki in the Central African Republic to monitor the recovery of tropical forests after disturbance. The M'Baïki experiment consists of ten 4-ha Permanent Sample Plots (PSPs) that were assigned to three silvicultural treatments in 1986 according to a random block design. In each plot, all trees with a girth at breast height greater than 30 cm were spatially located, numbered, measured, and determined botanically. Girth, mortality and newly recruited trees, were monitored almost annually over the 1982-2022 period with inventory campaigns for 35 years. The data were earlier used to fit growth and population models, to study the species composition dynamics, and the effect of silvicultural treatments on tree diversity and aboveground biomass. Here, we present new information on the forest stand structure dynamics and tree demography. The data released from this paper cover the three control plots and constitute a major contribution for further studies about the biodiversity of intact tropical forests., (© 2024. The Author(s).)

Objective: The objective of this survey was to describe epidemiological characteristics and evaluate vaccine effectiveness against pertussis in the sub-prefecture of Baoro (Central African Republic)., Method: We conducted a case control study from June to July 2022 in the sub-prefecture of Baoro in the district of Baour-Baoro. Community-based definitions of surveillance were applied to include cases and controls., Results: All in all, 143 confirmed and suspected cases and 166 controls were enrolled in this investigation. The epidemic had affected 12 neighborhoods and 9 villages. The village of Bugbassem alone had 32 patients, and 50% of the patients lived in rural areas. The age groups of 12 to 59 months accounted for 58% of cases. Patients were female in 54% of cases (p = 0.8). The attack rate among unvaccinated patients (65%) was higher than that of vaccinated patients (40%), while 15% (N = 21) of children were hospitalized with no recorded deaths. Pentavalent 3rd dose vaccination coverage was 49% in controls versus 33% in cases. Vaccination provided a significant protective effect (Odds Ratio = 0.3; 95% CI: 0.2-0.6). All told, vaccine efficacy against pertussis was 38%., Conclusion: Pertussis is a re-emerging disease currently occurring as a result of low pertussis vaccination coverage. It strongly affects rural areas with low vaccination rates. Vaccination strategy requires reinforcement in rural areas., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023. Published by Elsevier Masson SAS.)

This paper is a contribution to the distribution, taxonomy and phenology of Orthoptera Tettigoniidae of Central African Republic. Thanks to scientific expeditions and entomological missions, 2155 Orthoptera belonging to 118 species of five subfamilies of Tettigoniidae have currently been studied. Examined material is here listed with its known distribution. New genera and species have been found and here described: Eurycoplangiodes sanghaensis Massa, n. gen. and n. sp. Paraeulioptera emitflesti Massa, n. gen. and n. sp., Paraeurycorypha Massa, n. gen. ocellata Massa et Annoyer, n. sp., Arantia (Arantia) gretae Massa, n. sp., Arantia (Euarantia) syssamagalei Massa et Annoyer, n. sp. and Dapanera brevistylata Massa, n. sp. Overall, from 2012 to 2020, the study of the orthopteran material collected in the scientific expeditions to Central Africa carried out since 1984, enabled the description of 6 new genera and 27 new species. They represent 22.8% of the total amount of species currently recorded in the protected areas where this scientific activity has been carried out. This demonstrates that these areas still hold a high number of new species, representing a biodiversity hotspot.

African forest elephants (Loxodonta cyclotis) occupy large ranges in dense tropical forests and often use far-reaching vocal signals to coordinate social behavior. Elephant populations in Central Africa are in crisis, having declined by more than 60% in the last decade. Methods currently used to monitor these populations are expensive and time-intensive, though acoustic monitoring technology may offer an effective alternative if signals of interest can be efficiently extracted from the sound stream. This paper proposes an automated elephant call detection algorithm that was tested on nearly 4000 h of field recordings collected from five forest clearings in Central Africa, including sites both inside protected areas and in logging concessions. Recordings were obtained in different seasons, years, and under diverse weather conditions. The detector achieved an 83.2% true positive rate when the false positive rate is 5.5% (approximately 20 false positives per hour). These results suggest that this algorithm can enable analysis of long-term recording datasets or facilitate near-real-time monitoring of elephants in a wide range of settings and conditions.

Yellow fever still causes high burden in several areas of sub-Saharan Africa and Latin America. There are few well-designed epidemiological studies and limited data about yellow fever in Africa. Staples et al., in a recently published paper in Transactions of the Royal Society of Tropical Medicine & Hygiene, performed a nationwide study in the Central African Republic (CAR) assessing infection risk and the operational impact of preventive measures. The rapid assessment of human, non-human and mosquito data call attention to the potential risk of future yellow fever outbreaks in the CAR and elsewhere. The study reinforces the need for intensified applied and operational research to address problems and human capacity needs in the realm of neglected tropical diseases in the post-2015 agenda., (© The Author 2015. Published by Oxford University Press on behalf of Royal Society of Tropical Medicine and Hygiene. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)