<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
	>

<channel>
	<title>Mayotte &#8211; Science</title>
	<atom:link href="https://scienmag.com/tag/mayotte/feed/" rel="self" type="application/rss+xml" />
	<link>https://scienmag.com</link>
	<description></description>
	<lastBuildDate>Mon, 19 Oct 2026 21:45:20 +0000</lastBuildDate>
	<language>en-US</language>
	<sy:updatePeriod>
	hourly	</sy:updatePeriod>
	<sy:updateFrequency>
	1	</sy:updateFrequency>
	<generator>https://wordpress.org/?v=7.1.3</generator>

<image>
	<url>https://scienmag.com/wp-content/uploads/2024/07/cropped-scienmag_ico-32x32.jpg</url>
	<title>Mayotte &#8211; Science</title>
	<link>https://scienmag.com</link>
	<width>32</width>
	<height>32</height>
</image> 
<site xmlns="com-wordpress:feed-additions:1">73899611</site>	<item>
		<title>Vaxchora shows high effectiveness against Mayotte cholera outbreak</title>
		<link>https://scienmag.com/vaxchora-shows-high-effectiveness-against-mayotte-cholera-outbreak/</link>
		
		<dc:creator><![CDATA[Ophelia Keating]]></dc:creator>
		<pubDate>Mon, 19 Oct 2026 21:45:20 +0000</pubDate>
				<category><![CDATA[Medicine]]></category>
		<category><![CDATA[cholera]]></category>
		<category><![CDATA[cholera outbreak in Indian Ocean territory]]></category>
		<category><![CDATA[cholera outbreak response strategies]]></category>
		<category><![CDATA[cholera transmission dynamics]]></category>
		<category><![CDATA[cholera transmission modeling]]></category>
		<category><![CDATA[Cholera vaccine effectiveness]]></category>
		<category><![CDATA[CVD 103-HgR]]></category>
		<category><![CDATA[disease transmission]]></category>
		<category><![CDATA[disease transmission and control measures]]></category>
		<category><![CDATA[Effectiveness]]></category>
		<category><![CDATA[impact]]></category>
		<category><![CDATA[live-attenuated cholera vaccine]]></category>
		<category><![CDATA[mass vaccination campaign outcomes]]></category>
		<category><![CDATA[Mayotte]]></category>
		<category><![CDATA[Mayotte cholera outbreak 2024]]></category>
		<category><![CDATA[oral cholera vaccine]]></category>
		<category><![CDATA[outbreak control with cholera vaccination]]></category>
		<category><![CDATA[outbreak modelling]]></category>
		<category><![CDATA[Public health]]></category>
		<category><![CDATA[Short-term]]></category>
		<category><![CDATA[vaccine effectiveness]]></category>
		<category><![CDATA[vaccine impact in real-world outbreaks]]></category>
		<category><![CDATA[Vaxchora]]></category>
		<category><![CDATA[Vaxchora oral vaccine]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=315534</guid>

					<description><![CDATA[A modelling study of the 2024 cholera outbreak in Mayotte estimated that a single dose of Vaxchora was 87% effective and may have prevented hundreds of cases.]]></description>
										<content:encoded><![CDATA[<p>A rapid, single-dose campaign using the live-attenuated oral cholera vaccine Vaxchora was associated with an estimated 87% effectiveness against cholera during the 2024 outbreak in Mayotte, according to a modelling study of the French Indian Ocean territory. Researchers focused on Koungou village, where the outbreak produced substantial transmission and vaccination reached 71% of the population considered at risk. The results indicate that the vaccine, formally known as CVD 103-HgR, can perform effectively under the demanding and time-sensitive conditions of a real-world outbreak, although the number of cases averted at population level was less certain.</p>
<p>The analysis used daily cholera case data separated by vaccination status to calibrate several stochastic models of disease transmission. At its baseline estimate, the model placed the basic reproduction number, R0, at 1.5, with a 95% credible interval of 1.2 to 1.9. This quantity describes how many secondary infections are generated by an infected person in a wholly susceptible population. A value above one indicates that an outbreak can expand without control measures, while the relatively modest estimate in Koungou is consistent with a setting in which transmission remained vulnerable to interruption through vaccination and other interventions.</p>
<p>The observational and modelling data covered 4,733 people deemed at risk in Koungou. Of these, 3,354 received CVD 103-HgR, representing 71% coverage. During the period from 19 April to 7 July 2024, 77 confirmed cholera cases were recorded with symptom onset in the analysed population. By comparing the epidemic trajectory among vaccinated and unvaccinated people, the investigators estimated that the vaccine prevented 87% of cholera cases at baseline. The 95% credible interval extended from 74% to 99%, indicating that even the lower bound represented substantial protection.</p>
<p>Those estimates remained comparatively stable when the researchers examined alternative assumptions in sensitivity analyses: vaccine effectiveness ranged from 75% to 91% across the scenarios considered. This robustness is important because real-world evaluations of outbreak vaccination are rarely as straightforward as controlled human challenge studies. Coverage may be uneven, doses may be administered at different times relative to exposure, people can move between areas, and other prevention measures may operate at the same time. The model attempted to account for these features by fitting multiple stochastic formulations to the observed case series rather than relying on a single simple comparison of attack rates.</p>
<p>The study responds to a changing global cholera landscape in which recurrent outbreaks and vaccine shortages have encouraged health authorities to use reactive campaigns, often administering a single dose of oral cholera vaccine. Most evidence for killed oral cholera vaccines has come from settings where two-dose regimens have been deployed over longer periods, leaving less information about the practical effectiveness of newer, live-attenuated alternatives when they are introduced rapidly. Vaxchora had previously shown high efficacy in human challenge studies, but its real-world performance during an active outbreak had not been established.</p>
<p>CVD 103-HgR is a live-attenuated vaccine, meaning it contains a weakened form of the cholera bacterium designed to stimulate immunity without causing the full clinical disease. Its one-dose schedule is operationally attractive when public-health teams need to reach a large population quickly or cannot arrange a second visit. The Mayotte analysis therefore tested a question of practical as well as biological importance: whether the vaccine’s performance would be retained when used rapidly in a community experiencing sustained transmission, rather than under the controlled exposure conditions of a challenge study.</p>
<p>Beyond individual protection, the researchers estimated the effect of the campaign by simulating what might have happened without vaccination. Under the baseline assumptions, the model projected that 536 cholera cases were averted, with a 95% credible interval of 240 to 824. The wider range of point estimates across sensitivity analyses extended from 152 to 1,228. This interval reflects the difficulty of inferring population-level impact from a single village outbreak, where relatively small changes in transmission, vaccine coverage, timing or case ascertainment can produce substantially different counterfactual totals.</p>
<p>The distinction between these two findings is central to the interpretation of the campaign. Vaccine effectiveness describes how well vaccination prevents cholera in vaccinated individuals under the conditions of the outbreak, whereas impact measures the total reduction in cases across the community, including indirect effects such as reduced transmission. High individual protection does not automatically translate into an equally precise estimate of cases prevented, especially when cases occur among people who were not vaccinated, transmission was already declining, or other control measures contributed to the observed pattern.</p>
<p>Taken together, the results support including live-attenuated oral cholera vaccines in reactive strategies when they are available and operationally appropriate. The findings do not mean that vaccination alone can control every outbreak: safe water, sanitation, hygiene, case detection, treatment and measures to interrupt transmission remain essential. They do, however, provide real-world evidence for a single-dose vaccine deployed during a fast-moving epidemic. The combination of high estimated effectiveness and a potentially substantial, though uncertain, reduction in cases supports Vaxchora as an additional tool in settings facing acute cholera resurgence and constrained vaccine supply, while also showing why the scale of population benefit must be assessed carefully rather than inferred from efficacy figures alone.</p>
<p><strong>Subject of Research:</strong> Real-world effectiveness and population impact of single-dose Vaxchora oral cholera vaccination during the 2024 Mayotte outbreak.</p>
<p><strong>Article Title:</strong> Short-term effectiveness and impact of Vaxchora vaccine during the 2024 cholera outbreak in Mayotte</p>
<p><strong>Article References:</strong> Brault, A., Herry, F., Mazzilli, S., Cristancho-Fajardo, L., Froidefond, M., Epinoux, M., Berot, M., Soler, M., Lapostolle, A., Camaglia, F., Charniga, K., Cholin, T., Jean, M., Fouere, T., Ahmed, A., Niang, M., Paireau, J., Lessler, J., Azman, A. S., &#8230; Cauchemez, S. (2026). Short-term effectiveness and impact of Vaxchora vaccine during the 2024 cholera outbreak in Mayotte. <em>Nature Communications</em>. <a href="https://doi.org/10.1038/s41467-026-78733-0" rel="noopener noreferrer">https://doi.org/10.1038/s41467-026-78733-0</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1038/s41467-026-78733-0" rel="noopener noreferrer">10.1038/s41467-026-78733-0</a></p>
<p><strong>Keywords:</strong> Vaxchora, cholera, Mayotte, oral cholera vaccine, CVD 103-HgR, vaccine effectiveness, outbreak modelling, disease transmission, public health, Short-term, effectiveness, impact</p>
]]></content:encoded>
					
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">315534</post-id>	</item>
		<item>
		<title>New Rapid Assessment Method Maps the Decline of Tropical Seagrass Meadows</title>
		<link>https://scienmag.com/new-rapid-assessment-method-maps-the-decline-of-tropical-seagrass-meadows/</link>
		
		<dc:creator><![CDATA[Gavin Prescott]]></dc:creator>
		<pubDate>Fri, 02 Oct 2026 04:40:57 +0000</pubDate>
				<category><![CDATA[Climate]]></category>
		<category><![CDATA[biodiversity]]></category>
		<category><![CDATA[carbon sequestration in seagrass ecosystems]]></category>
		<category><![CDATA[challenges of traditional seagrass surveys]]></category>
		<category><![CDATA[coastal erosion stabilization]]></category>
		<category><![CDATA[coastal monitoring]]></category>
		<category><![CDATA[dugongs]]></category>
		<category><![CDATA[ecological indicators]]></category>
		<category><![CDATA[green turtles]]></category>
		<category><![CDATA[habitat fragmentation]]></category>
		<category><![CDATA[high-resolution seagrass habitat mapping]]></category>
		<category><![CDATA[Indian Ocean]]></category>
		<category><![CDATA[innovative marine monitoring tools]]></category>
		<category><![CDATA[long-term seagrass ecosystem data]]></category>
		<category><![CDATA[marine ecology]]></category>
		<category><![CDATA[marine ecology conservation strategies]]></category>
		<category><![CDATA[Mayotte]]></category>
		<category><![CDATA[rapid assessment method]]></category>
		<category><![CDATA[rapid assessment of marine ecosystems]]></category>
		<category><![CDATA[seagrass]]></category>
		<category><![CDATA[Seagrass meadow decline]]></category>
		<category><![CDATA[SEARAM]]></category>
		<category><![CDATA[SEARAM methodology]]></category>
		<category><![CDATA[tropical seagrass habitat mapping]]></category>
		<category><![CDATA[underwater grassland conservation]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=225738</guid>

					<description><![CDATA[Scientists have developed SEARAM, a rapid field protocol that maps the ecological condition of tropical seagrass meadows in high resolution, revealing stark habitat degradation around Mayotte.]]></description>
										<content:encoded><![CDATA[<p>Seagrass meadows are among the most valuable ecosystems on the planet, quietly burying carbon at rates that can exceed those of terrestrial forests by an order of magnitude, stabilizing coastlines against erosion, and serving as nurseries for countless fish and invertebrates. Yet these underwater grasslands are vanishing at an alarming pace, with global losses commonly estimated at one to two percent per year and even higher rates along heavily developed coastlines. Now, a team of researchers working in the French island territory of Mayotte in the south-west Indian Ocean has unveiled a new tool designed to change how scientists and managers see these hidden habitats. Called SEARAM, the Seagrass Meadows Rapid Assessment Method, the protocol promises standardized, high-resolution, spatially explicit maps of seagrass ecological condition at a fraction of the cost and effort of traditional surveys.</p>
<p>The challenge the method addresses is a familiar one in marine ecology. Existing monitoring frameworks, such as Seagrass-Watch and the Western Indian Ocean Seagrass Network, have harmonized field techniques and built valuable long-term datasets, but they rely on fixed transects and quadrats that are logistically demanding and expensive to replicate. As a result, coverage remains geographically uneven and concentrated at a handful of reference sites. Remote sensing offers a broader view but performs poorly in turbid waters or over low-biomass meadows, leaving major gaps in spatially explicit ecological assessment. Rapid Assessment Methods, or RAMs, occupy the middle ground: they sacrifice some quantitative precision in exchange for dramatically reduced sampling effort, lower expertise requirements, and far wider spatial coverage, making them attractive for regional and national management decisions.</p>
<p>SEARAM was developed with support from the French Coral Reef Initiative and tested over a 202.3-hectare intertidal sector of Petite-Terre, Mayotte, stretching from Dzaoudzi and Moya Beach to the southern end of the Pamandzi airport runway. The site is an ecological pressure cooker. Rapid demographic growth, urban expansion, chronic terrigenous runoff, intense shoreline gleaning, and sediment inputs from both of the island&#8217;s landmasses converge on nearshore meadows that were once naturally resilient. Over the past two decades, late-successional species such as Thalassodendron ciliatum, now nearly absent, and Thalassia hemprichii have regressed, replaced by pioneer and opportunistic taxa like Halodule uninervis and Halophila ovalis, a classic signature of regressive ecological succession under cumulative stress.</p>
<p>The protocol itself rests on eight seagrass biodiversity indicators, each chosen for its ecological relevance and compatibility with existing monitoring programs. Four describe meadow structure: continuity, or the percentage of soft substrate covered by seagrass; intra-patch cover, the density of shoots within patches; species richness; and canopy height. Four describe vitality: epiphyte load on leaves, macroalgal cover, leaf necrosis, and rhizome exposure caused by erosion. During an eight-day snorkeling campaign in September 2022, two divers surveyed 536 circular plots of 100 square meters each, positioned within a 144-cell grid. Within each plot, a subdivided 0.25-square-meter quadrat was randomly placed three times, allowing nested measurements from large-scale fragmentation down to fine-scale estimates of epiphyte and necrosis cover.</p>
<p>Observer consistency was treated as a critical design element. Both divers, each with more than twenty years of tropical marine survey experience, underwent a two-day training session including a full day of underwater inter-calibration, and standardized graphical scoring guides were printed on the backs of their underwater slates. Daily calibration sessions aboard the survey vessel allowed the team to harmonize indicator interpretation before sampling began. Statistical analysis later confirmed the effort paid off: no significant observer effect was detected for any of the eight indicators, suggesting the calibration procedures successfully minimized systematic bias, although the authors caution that formal repeatability experiments with independent observer teams remain a necessary next step.</p>
<p>Field observations were converted into continuous scores ranging from zero to three using indicator-specific logarithmic transformations, then aggregated into two complementary sub-indices. The Structure Index combines the four structural indicators, which respond slowly to environmental change and increase with habitat maturity. The Vitality Index combines the four stress-related indicators, which react over shorter timescales to physiological stress and degradation. Their arithmetic mean yields the Seagrass Ecological State Index, or SESI, classified into five categories from very bad to very good. Because similar SESI values can arise from different combinations of structure and vitality, the authors stress that the sub-indices should always be interpreted alongside the composite score.</p>
<p>The results painted a nuanced picture of a stressed seascape. Seagrass occurred in 54 percent of plots, but only about 29 percent of soft substrate within vegetated plots was colonized, with a mean total cover of just six percent, indicating strong fragmentation. Eight species were recorded, though the community was dominated by the pioneer Halodule uninervis and Halophila ovalis, while late-successional taxa contributed less than five percent of cover in most habitats. The exposed fringing reef flat showed the best structural development, with the highest meadow continuity and total cover, while the barrier reef flat displayed the highest vitality, with the lowest epiphyte and necrosis levels. The inner fringing reef flat, lagoon-facing and bathed in fine terrigenous sediments near the towns of Dzaoudzi and Pamandzi, emerged as the most degraded habitat, scoring lowest on seven of the eight indicators, with heavy epiphyte loads of around 40 percent and macroalgal cover near 24 percent, pointing to nutrient enrichment from nearby urban areas.</p>
<p>Crucially, the indices proved ecologically meaningful when linked to fauna and environmental drivers. Green turtles, surveyed by ultralight aircraft during three high-tide flights, reached densities of 0.89 individuals per hectare in vegetated sites, nearly double those of unvegetated areas, and were significantly associated with Halodule uninervis cover. Dugong feeding pits, detected at 27 plots almost entirely on the inner fringing reef, were linked to Halophila ovalis patches, consistent with the dugong&#8217;s preference for low-fiber, nitrogen-rich seagrasses consumed whole, rhizomes included. Fish species richness, macro-invertebrate abundance, and crustacean burrow densities were all significantly higher in vegetated sites. Regression models showed the composite index increased with coarser sediments and higher temperature but declined with turbidity, reflecting the sensitivity of seagrasses to light limitation, and explained between 17 and 35 percent of spatial variance.</p>
<p>The method also demonstrated remarkable field efficiency, averaging 33.5 stations per diver per day, comparable to the coral-reef CORRAM protocol, while simultaneously recording sediment characteristics and megafauna traces. Comparison with a WIOSN sentinel station monitored by the Mayotte Marine Natural Park showed close agreement on shared indicators, with one instructive discrepancy: SEARAM&#8217;s surface-based circular plots recorded lower meadow continuity than the line-intercept transects, precisely because fragmentation is an inherently two-dimensional property that linear transects tend to underestimate. The authors emphasize that SEARAM is designed to complement, not replace, sentinel monitoring and remote sensing, and that its indices must be interpreted relative to the seasonal and spatial context of calibration. Future applications, including SCUBA-based subtidal extensions, automated image analysis, and integration with very-high-resolution satellite imagery, could extend the framework across the tropical seagrass ecosystems that urgently need mapping before they disappear.</p>
<p><strong>Subject of Research:</strong> A rapid assessment method for mapping the ecological state of tropical intertidal seagrass meadows</p>
<p><strong>Article Title:</strong> Unlocking spatial ecological assessment for tropical seagrass habitats using a new rapid assessment method (SEARAM)</p>
<p><strong>Article References:</strong> Pinault, M., Broudic, L., Wickel, J., Nicet, J.-B., Kerninon, F., Ballorain, K., Bajjouk, T., Lepeigneul, O., &amp; Bergerot, B. (2026). Unlocking spatial ecological assessment for tropical seagrass habitats using a new rapid assessment method (SEARAM). <em>Environmental and Sustainability Indicators, 32</em>, Article 101538. <a href="https://doi.org/10.1016/j.indic.2026.101538" rel="noopener noreferrer">https://doi.org/10.1016/j.indic.2026.101538</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1016/j.indic.2026.101538" rel="noopener noreferrer">10.1016/j.indic.2026.101538</a></p>
<p><strong>Keywords:</strong> seagrass, rapid assessment method, SEARAM, Mayotte, marine ecology, ecological indicators, green turtles, dugongs, coastal monitoring, biodiversity, Indian Ocean, habitat fragmentation</p>
]]></content:encoded>
					
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">225738</post-id>	</item>
	</channel>
</rss>
