54 research outputs found

    Understanding the Cholera Epidemic, Haiti

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    After onset of a cholera epidemic in Haiti in mid-October 2010, a team of researchers from France and Haiti implemented field investigations and built a database of daily cases to facilitate identification of communes most affected. Several models were used to identify spatiotemporal clusters, assess relative risk associated with the epidemic’s spread, and investigate causes of its rapid expansion in Artibonite Department. Spatiotemporal analyses highlighted 5 significant clusters (p<0.001): 1 near Mirebalais (October 16–19) next to a United Nations camp with deficient sanitation, 1 along the Artibonite River (October 20–28), and 3 caused by the centrifugal epidemic spread during November. The regression model indicated that cholera more severely affected communes in the coastal plain (risk ratio 4.91) along the Artibonite River downstream of Mirebalais (risk ratio 4.60). Our findings strongly suggest that contamination of the Artibonite and 1 of its tributaries downstream from a military camp triggered the epidemic

    Identification of Southeast Asian Anopheles mosquito species using MALDI-TOF mass spectrometry

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    Malaria elimination in Southeast Asia remains a challenge, underscoring the importance of accurately identifying malaria mosquitoes to understand transmission dynamics and improve vector control. Traditional methods such as morphological identification require extensive training and cannot distinguish between sibling species, while molecular approaches are costly for extensive screening. Matrix-assisted laser desorption and ionization time-of-flight mass spectrometry (MALDI-TOF MS) has emerged as a rapid and cost-effective tool for Anopheles species identification, yet its current use is limited to few specialized laboratories. This study aimed to develop and validate an online reference database for MALDI-TOF MS identification of Southeast Asian Anopheles species. The database, constructed using the in-house data analysis pipeline MSI2 (Sorbonne University), comprised 2046 head mass spectra from 209 specimens collected at the Thailand-Myanmar border. Molecular identification via COI and ITS2 DNA barcodes enabled the identification of 20 sensu stricto species and 5 sibling species complexes. The high quality of the mass spectra was demonstrated by a MSI2 median score (min-max) of 61.62 (15.94–77.55) for correct answers, using the best result of four technical replicates of a test panel. Applying an identification threshold of 45, 93.9% (201/214) of the specimens were identified, with 98.5% (198/201) consistency with the molecular taxonomic assignment. In conclusion, MALDI-TOF MS holds promise for malaria mosquito identification and can be scaled up for entomological surveillance in Southeast Asia. The free online sharing of our database on the MSI2 platform (https://msi.happy-dev.fr/) represents an important step towards the broader use of MALDI-TOF MS in malaria vector surveillance

    Lakes as Source of Cholera Outbreaks, Democratic Republic of Congo

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    We studied the epidemiology of cholera in Katanga and Eastern Kasai, in the Democratic Republic of Congo, by compiling a database including all cases recorded from 2000 through 2005. Results show that lakes were the sources of outbreaks and demonstrate the inadequacy of the strategy used to combat cholera

    Epidemiology of human alveolar echinococcosis in France : man-territory interactions impact on risk estimation

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    L'Ă©chinococcose alvĂ©olaire (EA) humaine est une maladie parasitaire, rare et grave, due Ă  un cestode parasite, Echinococcus multilocularis, dont le cycle sauvage, en France, passe gĂ©nĂ©ralement par le renard (hĂŽte dĂ©finitif) et le campagnol (hĂŽte intermĂ©diaire). La moitiĂ© des cas europĂ©ens recensĂ©s sont regroupĂ©s en France, et se concentrent surtout dans les zones rurales de Franche-ComtĂ© et Lorraine. MalgrĂ© de nombreuses Ă©tudes, la rĂ©partition des malades et les facteurs de susceptibilitĂ© ou de protection de certaines personnes face Ă  la maladie sont encore mal connus.Depuis 1997, il existe un rĂ©seau de surveillance Ă©pidĂ©miologique de l’échinococcose alvĂ©olaire humaine, qui a constituĂ© un registre des cas français d’EA, collectant des donnĂ©es sur la pathologie mais aussi sur les lieux et habitudes de vie des patients. L’objectif de ce travail Ă©tait :- d’étudier les facteurs de risque de l’EA humaine en France, en particulier les facteurs comportementaux impliquĂ©s,- d’étudier l’impact du climat et de l’environnement sur l’incidence de la maladie- de dĂ©terminer les principaux facteurs utiles pour la prĂ©vention de l'infection, ainsi que les populations-cibles pour d'Ă©ventuelles campagnes de prĂ©vention.Human alveolar echinococcois (AE), a rare and serious parasitic disease, is caused by a cestode, Echinococcus multilocularis. In France, foxes and water voles are the main hosts (respectively definitive and intermediate). Half of the European human cases are French, mainly living in rural areas in Franche-ComtĂ© and Lorraine. Despite numerous studies, human distribution and factors affecting human vulnerability remain poorly understood.Created in 1997, the French epidemiological surveillance network for human AE collects data on the disease characteristics and also on lifelong locations and behaviors of the patients.The objectives of this study were:- to determine individual risk factors for human AE in France, and especially at-risk behaviors,- to study the role of the environment on human AE incidence,- to identify key messages and target populations for potential prevention campaigns

    Letter to the Editor : Environmental Factors Influencing Epidemic Cholera

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    International audienceLetter to the Editor Environmental Factors Influencing Epidemic Cholera Dear Sir: We have concerns with the recent publication by Jutla and colleagues, which aims to describe the environmental factors influencing epidemic cholera. 1 Regarding cholera in Haiti, the authors challenged the findings of many studies showing that the epidemic likely originated from the importation of toxi-genic Vibrio cholerae by Nepalese peacekeepers in October 2010. 2–5 Instead, they attempted to show that environmental conditions conducive to rapid growth and transmission of V. cholerae played a substantial role in epidemic onset. Their hypothesis is based on the claim that increased temperatures and rainfall during the months preceding the epidemic favored the proliferation of V. cholerae in the Haitian waters and its subsequent transmission to the local population 1 ; we believe their claims are based on misinterpretations of our published data and statistical correlations that fail to establish causality. Our field investigation of the Haitian cholera epidemic has clearly indicated that outbreaks started in Meye, near Mirebalais, before subsequently spreading downstream, following the Artibonite River. 2 Using a Spearman's rank statistical test, Jutla and colleagues stated that the correlation between cholera cases in Mirebalais and the Lower Artibonite was " very high, " thereby inferring that the epidemic started simultaneously in the two locations. 1 According to our report, each of the Lower Artibonite communes displayed a markedly higher correlation with the other Lower Artibonite communes than with Mirebalais. 2 Therefore, we did not report a strong correlation between Mirebalais and the Lower Artibonite communes , as claimed by Jutla and colleagues. 1 Nevertheless, correlation analyses are irrelevant to question the chronological progression of the epidemic. Indeed, our field investigation revealed that no suspected cases of cholera or severe diarrhea were reported in the Lower Artibonite before October 19, although the epidemic began on October 14 near Mirebalais.

    Comparison of several commercial serologic kits and Em18 serology for detection of human alveolar echinococcosis.

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    International audienceThe aim of this study was to design the best serologic strategy for diagnosing human alveolar echinococcosis (AE) cases in medical laboratory routine procedures. By combining 2 screening techniques, indirect hemagglutination with Em(2plus)-ELISA and/or recEm18-ELISA, 46 of 47 AE cases were detected. The necessary confirmation of results is then obtained by using immunoblot (LDBIO-IB and/or recEm18-IB)

    Using MALDI-ToF mass spectrometry to identify mushroom species -Proof of concept analysis of Amanita genus specimens

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    International audienceFood poisoning caused by toxic mushrooms, such as species in the Amanita genus, occurs frequently around the world. To properly treat these patients, it is important to rapidly and accurately identify the causal species. Matrix-assisted laser desorption/ionization time-of-flight (MALDI-ToF) mass spectrometry is a rapid technique that has been used in medical laboratories for the past three decades to identify bacteria, yeasts, and filamentous fungi. Matrix-assisted laser desorption ionization time of flight mass spectrometry (MALDI-Tof MS) is a rapid method used for the past three decades to identify microorganisms. In this study, we created and internally validated a MALDI-Tof MS reference database comprising 15 Amanita species frequently encountered in France, and we challenged this database with 38 Amanita specimens from four French locations, using a free online application for MALDI-ToF spectra identifications. Assessment of the database showed that mass spectra can be obtained by analyzing any portion of a carpophore and that all portions enabled identification of the carpophore at the species level. Most carpophores were correctly identified using our database, with the exception of specimens from the Vaginatae section. Decay tests also demonstrated that decayed portions (like those found in the kitchen garbage can) of Amanita phalloides mushrooms could be properly identified using MALDI-ToF MS. Our findings provide important insight for toxicology laboratories that often rely on DNA sequencing to identify meal leftovers implicated in food poisoning. In future developments, this technique could also be used to detect counterfeit mushrooms by including other genera in the reference database. Lay Summary MALDI-ToF MS is a powerful identification tool for microorganisms. We demonstrate that the technique can be applied to Amanita specimens. This will prevent food intoxications as a rapid and definite identification can be obtained, and it can also be used for food remnants
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