Search

Your search keyword '"Pennetier, Cedric"' showing total 33 results
Start Over Author "Pennetier, Cedric"
33 results on '"Pennetier, Cedric"'

2. Landscape and meteorological determinants of malaria vectors' presence and abundance in the rural health district of Korhogo, Côte d'Ivoire, 2016–2018, and comparison with the less anthropized area of Diébougou, Burkina Faso.

Author

Taconet, Paul, Zogo, Barnabas, Ahoua Alou, Ludovic P., Amanan Koffi, Alphonsine, Dabiré, Roch Kounbobr, Pennetier, Cedric, and Moiroux, Nicolas

Subjects
RIPARIAN forests, PADDY fields, REMOTE-sensing images, RAINFALL, RURAL health
Abstract

Background: Understanding how weather and landscape shape the fine-scale distribution and diversity of malaria vectors is crucial for efficient and locally tailored vector control. This study examines the meteorological and landscape determinants of (i) the spatiotemporal distribution (presence and abundance) of the major malaria vectors in the rural region of Korhogo (northern Côte d'Ivoire) and (ii) the differences in vector probability of presence, abundance, and diversity observed between that area and another rural West African region located 300 km away in Diébougou, Burkina Faso. Methods: We monitored Anopheles human-biting activity in 28 villages of the Korhogo health district for 18 months (2016 to 2018), and extracted fine-scale environmental variables (meteorological and landscape) from high-resolution satellite imagery. We used a state-of-the-art statistical modeling framework to associate these data and identify environmental determinants of the presence and abundance of malaria vectors in the area. We then compared the results of this analysis with those of a similar, previously published study conducted in the Diébougou area. Results: The spatiotemporal distribution of malaria vectors in the Korhogo area was highly heterogeneous and appeared to be strongly determined and constrained by meteorological conditions. Rice paddies, temporary sites filled by rainfall, rivers and riparian forests appeared to be the larval habitats of Anopheles mosquitoes. As in Diébougou, meteorological conditions (temperatures, rainfall) appeared to significantly affect all developmental stages of the mosquitoes. Additionally, ligneous savannas were associated with lower abundance of malaria vectors. Anopheles species diversity was lower in Korhogo compared to Diébougou, while biting rates were much higher. Our results suggest that these differences may be due to the more anthropized nature of the Korhogo region in comparison to Diébougou (less forested areas, more agricultural land), supporting the hypothesis of higher malaria vector densities and lower mosquito diversity in more anthropized landscapes in rural West Africa. Conclusion: This study offers valuable insights into the landscape and meteorological determinants of the spatiotemporal distribution of malaria vectors in the Korhogo region and, more broadly, in rural west-Africa. The results emphasize the adverse effects of the ongoing landscape anthropization process in the sub-region, including deforestation and agricultural development, on malaria vector control. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

3. Despite structural identity, ace-1 heterogenous duplication resistance alleles are quite diverse in Anopheles mosquitoes

Author

Claret, Jean-Loup, Di-Liegro, Marion, Namias, Alice, Assogba, Benoit, Makoundou, Patrick, Koffi, Alphonsine, Pennetier, Cedric, Weill, Mylene, Milesi, Pascal, Labbe, Pierrick, Claret, Jean-Loup, Di-Liegro, Marion, Namias, Alice, Assogba, Benoit, Makoundou, Patrick, Koffi, Alphonsine, Pennetier, Cedric, Weill, Mylene, Milesi, Pascal, and Labbe, Pierrick

Abstract

Anopheles gambiae s.l. has been the target of intense insecticide treatment since the mid-20th century to try and control malaria. A substitution in the ace-1 locus has been rapidly selected for, allowing resistance to organophosphate and carbamate insecticides. Since then, two types of duplication of the ace-1 locus have been found in An. gambiae s.l. populations: homogeneous duplications that are composed of several resistance copies, or heterogeneous duplications that contain both resistance and susceptible copies. The substitution induces a trade-off between resistance in the presence of insecticides and disadvantages in their absence: the heterogeneous duplications allow the fixation of the intermediate heterozygote phenotype. So far, a single heterogeneous duplication has been described in An. gambiae s.l. populations (in contrast with the multiple duplicated alleles found in Culex pipiens mosquitoes). We used a new approach, combining long and short-read sequencing with Sanger sequencing to precisely identify and describe at least nine different heterogeneous duplications, in two populations of An. gambiae s.l. We show that these alleles share the same structure as the previously identified heterogeneous and homogeneous duplications, namely 203-kb tandem amplifications with conserved breakpoints. Our study sheds new light on the origin and maintenance of these alleles in An. gambiae s.l. populations, and their role in mosquito adaptation.

Published
2024
Full Text
View/download PDF

9. Additional file 2 of Data-driven and interpretable machine-learning modeling to explore the fine-scale environmental determinants of malaria vectors biting rates in rural Burkina Faso

Author

Taconet, Paul, Porciani, Angélique, Soma, Dieudonné Diloma, Mouline, Karine, Simard, Frédéric, Koffi, Alphonsine Amanan, Pennetier, Cedric, Dabiré, Roch Kounbobr, Mangeas, Morgan, and Moiroux, Nicolas

Abstract

Additional file 2: Figure S2. Summary of the landscape conditions around the sampling points. Average percentage of surface occupied by each land cover class in the various buffer zones (250 m, 500 m, 1 km, 2 km radii) around the collection points. Error bars indicate the mean ± one standard deviation considering all the sampling points.

Published
2021
Full Text
View/download PDF

10. Additional file 6 of Data-driven and interpretable machine-learning modeling to explore the fine-scale environmental determinants of malaria vectors biting rates in rural Burkina Faso

Author

Taconet, Paul, Porciani, Angélique, Soma, Dieudonné Diloma, Mouline, Karine, Simard, Frédéric, Koffi, Alphonsine Amanan, Pennetier, Cedric, Dabiré, Roch Kounbobr, Mangeas, Morgan, and Moiroux, Nicolas

Abstract

Additional file 6: Figure S6. Feature selection for the multivariate models. The figure shows the Spearman correlation coefficient between the explanatory variables and each response variable (presence and abundance of An. funestus, An. gambiae s.s. and An. coluzzii). Based on these results, variables were retained for the multivariate models according to the following criteria: we first excluded variables that were poorly correlated with the response variable (i.e. correlation coefficients less than 0.1 or p-values greater than 0.2 at all time associations or buffer radii considered), except for variables related to the presence of water—i.e. possible breeding sites—that were all retained whatever their correlation. Then, for each meteorological (resp. landscape) variable, we retained the time lag interval (resp. buffer radius) showing the higher absolute correlation coefficient value. We finally excluded collinear variables (i.e. Pearson correlation coefficient between the variables > 0.7) based on empirical knowledge.

Published
2021
Full Text
View/download PDF

11. Additional file 1 of Data-driven and interpretable machine-learning modeling to explore the fine-scale environmental determinants of malaria vectors biting rates in rural Burkina Faso

Author

Taconet, Paul, Porciani, Angélique, Soma, Dieudonné Diloma, Mouline, Karine, Simard, Frédéric, Koffi, Alphonsine Amanan, Pennetier, Cedric, Dabiré, Roch Kounbobr, Mangeas, Morgan, and Moiroux, Nicolas

Abstract

Additional file 1: Figure S1. Summary of the meteorological conditions around the sampling points. Average meteorological conditions in a 2 km radius buffer zone around the collection points (weekly aggregation). Vertical red lines indicate the dates of the entomological surveys. Ribbons indicate the mean ± one standard deviation considering all the sampling points for the week.

Published
2021
Full Text
View/download PDF

12. Additional file 4 of Data-driven and interpretable machine-learning modeling to explore the fine-scale environmental determinants of malaria vectors biting rates in rural Burkina Faso

Author

Taconet, Paul, Porciani, Angélique, Soma, Dieudonné Diloma, Mouline, Karine, Simard, Frédéric, Koffi, Alphonsine Amanan, Pennetier, Cedric, Dabiré, Roch Kounbobr, Mangeas, Morgan, and Moiroux, Nicolas

Abstract

Additional file 4: Figure S4. Model evaluation plots for the presence models. A1, A2, A3 are precision–recall curves for the presence models of respectively An. funestus, An. gambiae s.s. and An. coluzzii. Precision–recall curves show the precision and the recall of the models for different probability thresholds of the “presence” class. Precision is the proportion of presence identifications that was actually correct, while recall is the proportion of actual presence observations that were identified correctly. The horizontal dashed line represents the baseline (i.e. random or no-skill) classifier. A precision–recall curve above the horizontal line indicates a better-than-no-skill classifier. The higher the area between the precision–recall curve and the horizontal line, the better the classifier. Plots B1, B2, B3 are observed vs. predicted presence probabilities for each out-of-sample village. The y-axis represents the sum over the 8 sampling points/village/survey (4 points by village * 2 places (interior and exterior)). Overall, the plots A1, A2, A3 show that the models had good predictive accuracies (precision–recall curves are higher than the baseline curve, particularly for An. funestus and An. coluzzii). The plots B1, B2, B3 show that the models predicted well the spatiotemporal trends of presence/absence of bites (lines of predicted presence probabilities are generally close to lines of observed probabilities), although they usually slightly overestimated the probabilities of being bitten (predicted presence probability > observed presence probability).

Published
2021
Full Text
View/download PDF

13. Additional file 3 of Data-driven and interpretable machine-learning modeling to explore the fine-scale environmental determinants of malaria vectors biting rates in rural Burkina Faso

Author

Taconet, Paul, Porciani, Angélique, Soma, Dieudonné Diloma, Mouline, Karine, Simard, Frédéric, Koffi, Alphonsine Amanan, Pennetier, Cedric, Dabiré, Roch Kounbobr, Mangeas, Morgan, and Moiroux, Nicolas

Abstract

Additional file 3: Figure S3. Pictures representative of the main land cover classes in the Diébougou area. Pictures were taken in November 2018.

Published
2021
Full Text
View/download PDF

14. Additional file 5 of Data-driven and interpretable machine-learning modeling to explore the fine-scale environmental determinants of malaria vectors biting rates in rural Burkina Faso

Author

Taconet, Paul, Porciani, Angélique, Soma, Dieudonné Diloma, Mouline, Karine, Simard, Frédéric, Koffi, Alphonsine Amanan, Pennetier, Cedric, Dabiré, Roch Kounbobr, Mangeas, Morgan, and Moiroux, Nicolas

Abstract

Additional file 5: Figure S5. Model evaluation plots for the abundance models. A1, A2, A3 are violin plots of the distribution of the residuals for the abundance models of respectively An. funestus, An. gambiae s.s. and An. coluzzii, by observed counts of bites (4 classes: 1 bite, 2–3 bites, 4–10 bites, > 10 bites). Black dots indicate the median value. B1, B2, B3 are observed vs. predicted number of bites/village/entomological surveys. The y-axis represents the sum of bites over the 8 sampling points/village/survey (4 points by village * 2 places (interior and exterior)) on a logarithmic scale. The absence of a dot indicates that no vector was collected. MAE = mean absolute error; n = number of observations. Overall, the plots A1, A2, A3 show that the models predicted well small observed counts of bites (1 bite, 2–3 bites) (cf. small MAEs, small residuals), which represent the vast majority of observations (high n). Larger counts (4–10 bites, > 10 bites) tended to be underestimated by the models, especially for An. funestus and An. gambiae s.s. However, large counts (> 10 bites) represented few observations (small n). The plots B1, B2, B3 confirm these observations, and additionally show that general trends of biting rates over time were well predicted by the models (lines of predicted abundance are generally close to lines of observed abundance).

Published
2021
Full Text
View/download PDF

15. Data-driven and interpretable machine-learning modeling to explore the fine-scale environmental determinants of malaria vectors biting rates in rural Burkina Faso

Author

Taconet, Paul, primary, Porciani, Angélique, additional, Soma, Dieudonné Diloma, additional, Mouline, Karine, additional, Simard, Frédéric, additional, Koffi, Alphonsine Amanan, additional, Pennetier, Cedric, additional, Dabiré, Roch Kounbobr, additional, Mangeas, Morgan, additional, and Moiroux, Nicolas, additional

Published
2021
Full Text
View/download PDF

16. Mixture for controlling insecticide-resistant malaria vectors

Author

Pennetier, Cedric, Costantini, Carlo, Corbel, Vincent, Licciardi, Severine, Dabire, Roch K., Lapied, Bruno, Chandre, Fabrice, and Hougard, Jean-Marc

Subjects
Company distribution practices, Anopheles -- Properties, Anopheles -- Research, Malaria -- Distribution, Malaria -- Research, Malaria -- Causes of, Drug resistance -- Influence, Pyrethroids -- Physiological aspects
Abstract

The spread of resistance to pyrethroids in the major Afrotropical malaria vectors Anopheles gambiae s.s. necessitates the development of new strategies to control resistant mosquito populations. To test the efficacy [...]

Published
2008

17. Behavioural adaptations of mosquito vectors to insecticide control

Author

Carrasco, David, Lefèvre, Thierry, Moiroux, Nicolas, Pennetier, Cedric, Chandre, Fabrice, Cohuet, Anna, Maladies infectieuses et vecteurs : écologie, génétique, évolution et contrôle (MIVEGEC), Institut de Recherche pour le Développement (IRD [France-Sud])-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM), Transmission-Interactions-Adaptations hôtes/vecteurs/pathogènes (MIVEGEC-TRIAD), Evolution des Systèmes Vectoriels (ESV), Institut de Recherche pour le Développement (IRD [France-Sud])-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Institut de Recherche pour le Développement (IRD [France-Sud])-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Maladies infectieuses et vecteurs : écologie, génétique, évolution et contrôle (MIVEGEC), Institut de Recherche pour le Développement (IRD [France-Sud])-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Institut de Recherche pour le Développement (IRD [France-Sud])-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM), Vector Control Group (MIVEGEC-VCG), Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Maladies infectieuses et vecteurs : écologie, génétique, évolution et contrôle (MIVEGEC), Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud]), Institut Pierre Richet (IPR), and ANR-16-CE35-0007,STORM,Stratégies de transmission des parasites à vecteur : variation génétique, plasticité phénotypique et conséquences pour les mesures de contrôle(2016)

Subjects
[SDV.BA.ZI]Life Sciences [q-bio]/Animal biology/Invertebrate Zoology, [SDV.EE]Life Sciences [q-bio]/Ecology, environment, [SDV]Life Sciences [q-bio], [SDV.BA]Life Sciences [q-bio]/Animal biology, [SDV.EE.IEO]Life Sciences [q-bio]/Ecology, environment/Symbiosis
Abstract

International audience; Behavioural resistance to insecticides may be an important factor restraining the efficacy of vector control against mosquito-transmitted diseases. However, our understanding of the mechanisms underlying such behavioural resistance remains sparse. In this review, we focus on the behavioural adaptations of mosquito vectors in response to the use of insecticides and provide a general framework for guiding future investigations. We present our review of vector behaviour in the field and a conceptual classification of behavioural adaptations to insecticides. We emphasise that behavioural adaptations can result from constitutive or induced (i.e. phenotypically plastic) traits. Lastly, we identify gaps in knowledge limiting a better understanding of how mosquito behavioural adaptations may affect the fight against vector-borne diseases. Addresses

Published
2019

18. Action to protect the independence and integrity of global health research

Author

Storeng, Katerini T., Abimbola, Seye, Balabanova, Dina, Mccoy, David, Ridde, Valery, Filippi, Veronique, Roalkvam, Sidsel, Akello, Grace, Parker, Melissa, Palmer, Jennifer, Abejirinde, Ibukun, Adebiyi, Babatope, Affun-Adegbulu, Clara, Ahlgren, Jhon Alvarez, Ahmad, Ayesha, Al-Awlaqi, Sameh, Aloys, Zongo, Amul, Gianna Gayle, Arthur, Joshua, Asaduzzaman, Muhammad, Asgedom, Akeza Awealom, Assarag, Bouchra, Atchessi, Nicole, Atkins, Salla, Badejo, Okikiolu, Baeroe, Kristine, Molleh, Bailah, Bazzano, Alessandra, Behague, Dominique P., Beisel, Uli, Belaid, Loubna, Bernays, Sarah, Bhuiyan, Shafi, Biermann, Olivia, Birungi, Harriet, Blanchet, Karl, Blystad, Astrid, Bodson, Oriane, Bonnet, Emmanuel, Bose, Shibaji, Bozorgmehr, Kayvan, Brear, Michelle, Burgess, Rochelle, Byskov, Jens, Carillon, Severine, Cavallaro, Francesca L., Chabeda, Sophie, Chandler, Clare, Chapman, Rachel, Chikuse, Francis F., Chinwe, Juliana Iwu, Cislaghi, Beniamino, Closser, Svea, Colvin, Christopher J., Cresswell, Jenny, da Cunha Saddi, Fabiana, Daire, Judith, Dalglish, Sarah, de Brouwere, Vincent, de Sardan, Jean-Pierre Olivier, Delvaux, Therese, Desgrees du Lou, Annabel, Diallo, Brahima A., Diarra, Aissa, Dixon, Justin, Doherty, Tanya, Dumont, Alexandre, Eboreime, Ejemai, Engelbrecht, Beth, Erikson, Susan, Faye, Adama, Fischer, Sara, Fournet, Florence, Fox, Ashley M., Francis, Joel Msafiri, Gautier, Lara, George, Asha, Gilson, Lucy, Gimbel, Sarah, Glenn, Jeff, Gopinathan, Unni, Gordeev, Vladimir S., Gradmann, Christoph, Graham, Janice E., Gram, Lu, Greco, Giulia, Grepin, Karen, Guichard, Anne, Gupta, Pragya Tiwari, Guzman, Viveka, Haaland, Marte E. S., Haggblom, Anna, Hagopian, Amy, Hammarberg, Karin, Handschumacher, Pascal, Hann, Katrina, Hasselberg, Marie, Hawkes, Sarah, Howard, Natasha, Hurtig, Anna-Karin, Hussain, Sameera, Hutchinson, Eleanor, Idoteyin, Ezirim, Infanti, Jennifer J., Irwin, Rachel, Islam, Shariful, Joarder, Taufique, John, Preethi, Johnson, Ermel, Johri, Mira, Justice, Judith, Kabore, Charles, Kadio, Kadidiatou, Kamwa, Matthieu, Kelly, Ann H., Kenworthy, Nora, Kittelsen, Sonja, Kloster, Maren Olene, Kocsis, Emily, Koon, Adam, Kumar, Pratap, Lal, Arush, Lange, Isabelle, Lanthorn, Heather, Lees, Shelley, Lexchin, Joel, Lie, Ann Louise, Limenih, Gojjam, Litwin-Davies, Isabel, Lodda, Charles Clarke, Lonnroth, Knut, Manton, John, Manzi, Anatole, Manzoor, Mehr, Marchal, Bruno, Marten, Robert, Matsui, Mitsuaki, Mbewe, Allan, Mc Sween-Cadieux, Esther, McGoey, Linsey, McNeill, Desmond, Mendenhall, Emily, Mendez, Claudio A., Mirzoev, Tolib, Mohammed, Shafiu, Moland, Karen Marie, Molyneux, Sassy, Mumtaz, Zubia, Murray, Susan Fairley, Nambiar, Devaki, Nelson, Erica, Nieto-Sanchez, Claudia, Norheim, Ole Frithjof, Nouvet, Elysee, Obare, Francis, Okungu, Vincent, Onarheim, Kristine Husoy, Ostebo, Marit Tolo, Ouattara, Fatoumata, Ozawa, Sachiko, Pai, Madhukar, Paina, Ligia, Parashar, Rakesh, Paul, Elisabeth, Peeters, Koen, Pennetier, Cedric, Penn-Kekana, Loveday, Peters, David, Pfeiffer, James, Pot, Hanneke, Prashanth, N. S., Preston, Robyn, Puyvallee, Antoine de Bengy, Rahmalia, Annisa, Reid-Henry, Simon, Rodriguez, Daniela C., Ronse, Maya, Sacks, Emma, Samb, Oumar Malle, Sanders, David, Sarkar, Nandini, Sarriot, Eric, Scheel, Inger Brummenaes, Schwarz, Thomas, Scott, Kerry, Seeley, Janet, Seward, Nadine, Shannon, Geordan, Shearer, Jessica, Shelley, Katharine, Sherr, Kenneth, Shiffman, Jeremey, Simard, Frederic, Singh, Neha S., Soors, Werner, Springer, Rusla Anne, Strong, Adrienne, Sundby, Johanne, Taylor, Stephen, Tetui, Moses, Topp, Stephanie M., Tsofa, Benjamin, Turcotte-Tremblay, Anne-Marie, Undie, Chi-Chi, Van Belle, Sara, Van Heteren, Godelieve, van Rensburg, Andre Janse, Sriram, Veena, Venkatapuram, Sridhar, Wagenaar, Bradley H., Wallace, Lauren, Walugembe, David R., Wariri, Oghenebrume, Whiteside, Alan O. B. E., Yakob, Bereket, Zakayo, Scholastica, Zitti, Tony, Zwi, Anthony, Centre population et développement (CEPED - UMR_D 196), Institut de Recherche pour le Développement (IRD)-Université Paris Descartes - Paris 5 (UPD5), and Signatories

Subjects
Project commissioning, media_common.quotation_subject, environmental health, Commission, Public administration, 03 medical and health sciences, Politics, 0302 clinical medicine, Political science, Agency (sociology), Global health, 030212 general & internal medicine, media_common, 030503 health policy & services, Health Policy, Public Health, Environmental and Occupational Health, Censorship, 16. Peace & justice, 3. Good health, Negotiation, Editorial, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, Human medicine, 0305 other medical science, International development
Abstract

In a recent Viewpoint in the Lancet , some of us shared our experience of censorship in donor-funded evaluation research and warned about a potential trend in which donors and their implementing partners use ethical and methodological arguments to undermine research.1 Reactions to the Viewpoint—and lively debate at the 2018 Global Symposium on Health Systems Research —suggest that similar experiences are common in implementation and policy research commissioned by international donors to study and evaluate large-scale, donor-funded health interventions and programmes, which are primarily implemented in low resource settings. ‘We all have the same stories’, was one of the first comments on the Viewpoint, followed by many private messages divulging instances of personal and institutional pressure, intimidation and censorship following attempts to disseminate unwanted findings. Such pressure comes from major donors and from international non-governmental organisations (NGOs) obliged to have an external assessment but who then maintain a high degree of confidentiality and control. That such experiences are widespread reflects the deeply political nature of the field of ‘global health’ and the interconnections between priority setting, policy making and project implementation, which sit within a broader set of deeply entrenched power structures.2 3 Researchers in this field routinely find themselves working within—and studying—complex power relations and so experience challenges in negotiating their own position between interests of commissioning agencies and funders, implementers and country governments, as well as those of their own research institutions and their partnerships with other researchers spanning high-income, middle-income and low-income countries.4–7 They often receive research funding from major donor agencies like the UK Department of International Development (DFID), the US Agency for International Development (USAID), the Agence Francaise de Developpement (AFD), UNITAID and the Bill and Melinda Gates Foundation,8 who commission evaluations for their own funded projects, even though they have …

Published
2018

19. Standardized multidisciplinary method for the evaluation of the effectiveness of malaria control interventions

Author

Kesteman, Thomas, Remoue, Franck, Randrianarivelojosia, Milijaona, Pennetier, Cedric, Michel, Etchepare, Audibert, Martine, Egrot, Marc, Rogier, Christophe, Centre d'Études et de Recherches sur le Développement International (CERDI), and Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Centre National de la Recherche Scientifique (CNRS)

Subjects
[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, [SHS.ANTHRO-SE]Humanities and Social Sciences/Social Anthropology and ethnology
Abstract

International audience

Published
2014

21. Positive allosteric modulation of muscarinic receptors is responsible for the synergistic effect occurring between the repellent DEET and carbamate in insect central nervous system

Author

Mohamed, Aly, Stankiewicz, Maria, Licznar, Patricia, Apaire-Marchais, Véronique, Pennetier, Cedric, Corbel, Vincent, Thany, Steeve Hervé, Lapied, Bruno, Récepteurs et Canaux Ioniques Membranaires (RCIM), Université d'Angers (UA)-Institut National de la Recherche Agronomique (INRA), and Univ Angers, Okina

Subjects
[SDV] Life Sciences [q-bio], [SDV]Life Sciences [q-bio], ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2010

22. Mosquito borne-disease vector isolated neurons: a new biological model for optimizing insecticide/repellent efficacy while reducing adverse effects on ecosystem

Author

Licznar, Patricia, Lavialle-Defaix, Céline, Apaire-Marchais, Véronique, Pennetier, Cedric, Legros, Christian, Corbel, Vincent, Lapied, Bruno, Récepteurs et Canaux Ioniques Membranaires (RCIM), Université d'Angers (UA)-Institut National de la Recherche Agronomique (INRA), and Univ Angers, Okina

Subjects
[SDV] Life Sciences [q-bio], [SDV]Life Sciences [q-bio], ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2010

23. Optimisation des traitements utilises en lutte anti-vectorielle : associations synergiques repulsif / insecticide. Société française de Mycologie médicale

Author

Apaire-Marchais, Véronique, Mohamed, Aly, Gruau, G., Pennetier, Cedric, Licznar, Patricia, Corbel, Vincent, Lapied, Bruno, Univ Angers, Okina, Récepteurs et Canaux Ioniques Membranaires (RCIM), and Université d'Angers (UA)-Institut National de la Recherche Agronomique (INRA)

Subjects
[SDV] Life Sciences [q-bio], [SDV]Life Sciences [q-bio], ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2010

24. Paludisme : Où en est la prophylaxie d’exposition ?

Author

Ludwall, Eric, Pennetier, Cedric, Corbel, Vincent, De Gentile, Ludovic, Legros, Fabrice, Maladies infectieuses et vecteurs : écologie, génétique, évolution et contrôle (MIVEGEC), and Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])

Subjects
[SDV.MHEP.MI]Life Sciences [q-bio]/Human health and pathology/Infectious diseases, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie
Abstract

International audience; Associée à la prévention médicamenteuse, la protection des piqûres d’anophèles est indispensable mais non suffisante dans les zones à risque de paludisme. Les répulsifs sont nombreux, mais d’efficacité et d’utilisation très variables. Les vêtements imprégnés de perméthrine sont intéressants, mais seule la moustiquaire imprégnée a fait la preuve de son efficacité dans la prévention du paludisme.

Published
2005

25. Mechanisms of reproductive isolation between incipient species in the Anopheles gambiae species complex

Author

Dabiré, Roch, primary, Sawadogo, Simon, additional, Diabaté, Abdoulaye, additional, Toé, Hyacinthe, additional, Kengne, Pierre, additional, Ouari, Ali, additional, Costantini, Carlo, additional, Gouagna, Clement, additional, Pennetier, Cedric, additional, Simard, Frederic, additional, Baldet, Thierry, additional, Lehman, Tovi, additional, and Gibson, Gabriella, additional

Published
2014
Full Text
View/download PDF

26. Sub-lethal insecticide exposure affects host biting efficiency of Kdr-resistant Anopheles gambiae

Author

Diop, Malal M, Chandre, Fabrice, Rossignol, Marie, Porciani, Angélique, Chateau, Mathieu, Moiroux, Nicolas, and Pennetier, Cédric

Subjects
Archaeology, CC1-960, Science
Abstract

The massive use of insecticide-treated nets (ITNs) has drastically changed the environment for malaria vector mosquitoes, challenging their host-seeking behaviour and biting success. Here, we investigated the effect of a brief exposure to an ITN on the biting behaviour of Anopheles gambiae mosquitoes and the interaction between such behaviour and the kdr mutation that confers resistance to pyrethroids. To this aim, we developed a video assay to study the biting behaviour of mosquitoes with similar genetic background, but different kdr locus genotypes (SS i.e. homozygous susceptible, RS i.e. heterozygous and RR i.e. homozygous resistant), after a brief exposure to either control untreated nets or one of two types of pyrethroid-treated nets (deltamethrin or permethrin). In presence of untreated nets, the kdr mutation did not influence mosquito blood feeding success but caused differences in feeding and prediuresis durations and blood meal size. Exposure to deltamethrin ITN decreased the blood feeding success rate of RR and RS mosquitoes, whereas in presence of permethrin ITN, the kdr mutation increased the blood-feeding success of mosquitoes. Exposure to the two types of pyrethroid-treated nets reduced feeding duration, prediuresis duration and blood meal size of all three genotypes. Our study demonstrates a complex interaction between insecticide exposure and the kdr mutation on the biting behavior of mosquitoes, which may substantially impact malaria vector fitness and disease transmission.

Published
2021
Full Text
View/download PDF

29. IN REPLY

Author

Pennetier, Cedric, primary, Corbel, Vincent, additional, and Hougard, Jean-Marc, additional

Published
2006
Full Text
View/download PDF

31. Efficacy of Olyset®Duo, a permethrin and pyriproxyfen mixture net against wild pyrethroid-resistant Anopheles gambiae s.s.from Côte d’Ivoire: an experimental hut trial

Author

Koffi, Alphonsine A., Ahoua Alou, Ludovic P., Djenontin, Armel, Kabran, Jean-Paul K., Dosso, Youssouf, Kone, Aboubacar, Moiroux, Nicolas, Pennetier, Cedric, Koffi, Alphonsine A., Ahoua Alou, Ludovic P., Djenontin, Armel, Kabran, Jean-Paul K., Dosso, Youssouf, Kone, Aboubacar, Moiroux, Nicolas, and Pennetier, Cedric

Abstract

Pyrethroid resistance in malaria vectors has spread across sub-Saharan Africa. Alternative tools and molecules are urgently needed for effective vector control. One of the most promising strategies to prevent or delay the development of resistance is to use at least two molecules having unrelated modes of action in combination in the same bed net. We evaluated in experimental huts in Côte d’Ivoire, a new polyethylene long-lasting insecticidal net (LN) product, Olyset®Duo, incorporating permethrin (PER) and pyriproxyfen (PPF), an insect growth regulator (IGR). PPF alone or in combination with permethrin had a significant impact on fertility (7–12% reduction relative to control) and no effect on fecundity of wild multi-resistant An. gambiae s.s.These results triggered crucial research questions on the behaviour of targeted mosquitoes around the LN. To maximize the sterilizing effect of PPF in the combination, there would be a need for a trade-off between the necessary contact time of the insect with PPF and the surface content of the pyrethroid insecticide that is bioavailable and induces excito-repellency.

Published
2015
Full Text
View/download PDF

32. Efficacy of Olyset® Duo, a permethrin and pyriproxyfen mixture net against wild pyrethroid-resistant Anopheles gambiae s.s. from Côte d’Ivoire: an experimental hut trial

Author

Koffi Alphonsine A., Ahoua Alou Ludovic P., Djenontin Armel, Kabran Jean-Paul K., Dosso Youssouf, Kone Aboubacar, Moiroux Nicolas, and Pennetier Cedric

Subjects
Anopheles gambiae, pyrethroid insecticide, resistance, bed net, insect growth regulator, Infectious and parasitic diseases, RC109-216
Abstract

Pyrethroid resistance in malaria vectors has spread across sub-Saharan Africa. Alternative tools and molecules are urgently needed for effective vector control. One of the most promising strategies to prevent or delay the development of resistance is to use at least two molecules having unrelated modes of action in combination in the same bed net. We evaluated in experimental huts in Côte d’Ivoire, a new polyethylene long-lasting insecticidal net (LN) product, Olyset® Duo, incorporating permethrin (PER) and pyriproxyfen (PPF), an insect growth regulator (IGR). PPF alone or in combination with permethrin had a significant impact on fertility (7–12% reduction relative to control) and no effect on fecundity of wild multi-resistant An. gambiae s.s. These results triggered crucial research questions on the behaviour of targeted mosquitoes around the LN. To maximize the sterilizing effect of PPF in the combination, there would be a need for a trade-off between the necessary contact time of the insect with PPF and the surface content of the pyrethroid insecticide that is bioavailable and induces excito-repellency.

Published
2015
Full Text
View/download PDF

33. DEET microencapsulation: a slow-release formulation enhancing the residual efficacy of bed nets against malaria vectors.

Author

N'guessan R, Knols BG, Pennetier C, and Rowland M

Subjects
Animals, Drug Compounding, Humans, Insect Bites and Stings parasitology, Insect Repellents administration & dosage, Insecticide Resistance, Pyrethrins, Statistics as Topic, Time Factors, Anopheles, Bedding and Linens statistics & numerical data, Culex, DEET administration & dosage, Malaria prevention & control, Mosquito Control methods
Abstract

Textile materials treated with synthetic repellents have the potential to provide protection against insect disease vectors but lack the residual activity necessary to achieve a prolonged effect or to be cost-effective. DEET MC is a formulation of DEET (N,N diethyl-m-toluamide) in which the repellent is gradually released from a capsule that binds the repellent. An experiment carried out on DEET-treated mosquito netting showed that the formulation repels, inhibits blood-feeding and kills mosquitoes for a period of at least 6 months under laboratory conditions. Such formulations may have the potential for use on nets against pyrethroid-resistant mosquitoes or on clothing or bedding materials distributed in disasters, emergencies or refugee camp situations.

Published
2008
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results