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Additional file 1. Figure S4. Mapping of distribution of Anopheles species in Kisantu Health Zone, Kongo-Central Province. Table S6. Human biting rate was determined from human landing collections in the different villages in Kisantu only An. gambiae sl and funestus sl. Table S7. Study sites and their epidemiological stratum in Kisantu Health Zone, Kongo-Central Province.

This paper presents an annotated dataset used in the MOOD Antimicrobial Resistance (AMR) hackathon, hosted in Montpellier, June 2022. The collected data concerns unstructured data from news items, scientific publications and national or international reports, collected from four event-based surveillance (EBS) Systems, i.e. ProMED, PADI-web, HealthMap and MedISys. Data was annotated by relevance for epidemic intelligence (EI) purposes with the help of AMR experts and an annotation guideline. Extracted data were intended to include relevant events on the emergence and spread of AMR such as reports on AMR trends, discovery of new drug-bug resistances, or new AMR genes in human, animal or environmental reservoirs. This dataset can be used to train or evaluate classification approaches to automatically identify written text on AMR events across the different reservoirs and sectors of One Health (i.e. human, animal, food, environmental sources, such as soil and waste water) in unstructured data (e.g. news, tweets) and classify these events by relevance for EI purposes.

Additional file 1: Figure S1. Overview of the temperature-dependent functions used in the model for the four Aedes species. Figure S2. Overview of the temperature-dependent functions used in the model for Ae. aegypti. Figure S3. Overview of the temperature-dependent functions used in the model for Ae. albopictus. Figure S4. Overview of the temperature-dependent functions used in the model for Ae. japonicus. Figure S5. Overview of the temperature-dependent functions used in the model for Ae. koreicus. Figure S6. Overview of the photoperiod-dependent diapause function used to in the model for Ae. albopictus and Ae. japonicus. The Ae. japonicus function was used forAe. koreicus as well. Figure S7. Sensitivity analysis on the effect of (A) the variability of introduced propagules and juvenile-habitat water volume on the percentage of successful introduction; (B) the variability of the juvenile-habitat water volume on the median individual abundance. Figure S8. Predicted percentage of establishment of Ae. aegypti, Ae. albopictus in California (USA) for the years 2011–2016 and 2013–2018, respectively. Only pixels having a probability of successful introduction > 0 are shown. The red dots represent the counties where the species have been found. Table S1. Description of mechanistic models for invasive Aedes available as software or scripts (online or on request). Table S2. Other model features. Table S3. Species-specific temperature-dependent physiological parameters. Table S4. Species-specific dispersal parameters.Table S5. Species-specific photoperiod parameters. Table S6. Validation for Ae. koreicus model in Trento (NE Italy).

Additional file 2. DNA based species validation (methods, results and Figure S1).

Additional file 1: Table S1. Distribution of inspected containers inside/outside the houses, Kinshasa 2018.

BACKGROUND: Dengue, yellow fever, chikungunya and Zika are among the most important emerging infectious vector-borne diseases worldwide. Besides sporadic dengue cases, yellow fever and chikungunya outbreaks have been increasingly reported in Democratic Republic of Congo (DRC) in the last decade. The main vectors of these arboviruses, Aedes aegypti and Aedes albopictus, were reported in DRC, but there is a lack of detailed information on their presence and spread hampering transmission risk assessments in the region. METHODS: In 2018, two cross-sectional surveys were realized in Kinshasa province (DRC), one in the rainy (January/February) and one in the dry season (July). Four hundred houses were visited in each of the four selected communes (N’Djili, Mont Ngafula, Lingwala and Kalamu). Breedings sites were recorded, larvae and pupae collected and reared to obtain adults for genus and species identification. A subset of specimens was DNA-barcoded for validation of the morphological species identification. RESULTS: The most rural commune (Mont Ngafula) had the highest density levels, with a Breteau Index of 82.2 and 19.5/100 houses in rainy and dry season, respectively. The Breteau Index in the other communes Kalamu, Lingwala and N’Djili elevated to 21.5 (4.7), 36.7 (9.8) and 41.7 (7.5) in the rainy (and dry) season. The House index was on average 27.5% and 7.6%; and the Container Index 15.0% and 10.0% in rainy and dry season, respectively. The vast majority of Aedes positive containers was found outside the houses (adjusted OR 27.4 (95%CI 14.9-50.1)). The main breeding sites were used tires, water storage containers and trash. Anopheles larvae were also found in Aedes breeding sites, especially during the rainy season.CONCLUSIONS: These results show that Kinshasa is highly infested with Aedes spp. which indicates a high potential for arbovirus transmission in the area. During the dry season, the most productive containers (for Aedes pupae production) are containers used for water storage, whereas in the rainy season this is trash and tires. The present study also evidences that Aedes breeding sites are mainly located outdoors. Based on the results of this study, a contextualized Aedes control strategy can be designed for Kinshasa.

BACKGROUND Arboviruses such as dengue, yellow fever, chikungunya and Zika are among the most important emerging infectious diseases worldwide. Yellow fever and chikungunya outbreaks, and few dengue cases have been reported in Democratic Republic of Congo (DRC) in recent years. Although the main vectors of these arboviruses, Aedes aegypti and Aedes albopictus , were reported in DRC, the lack of detailed information on their presence and spread hampers transmission risk assessments in this region. METHODS In 2018, two cross-sectional surveys were realized in Kinshasa province (DRC), one in the rainy (January/February) and one in the dry season (July). Four hundred houses were visited in each of the four selected communes (N’Djili, Mont Ngafula, Lingwala and Kalamu). Breedings sites were recorded, larvae and pupae collected and reared to obtain adults for genus and species identification. A subset of specimen was DNA-barcoded for species validation. RESULTS The most rural commune (Mont Ngafula) had the highest infestation levels, with a Breteau Index of 82.2 and 19.5/100 houses in rainy and dry season, respectively. The Breteau Index in the other communes Kalamu, Lingwala and N’Djili elevated to 21.5 (4.7), 36.7 (9.8) and 41.7 (7.5) in the rainy (and dry) season respectively. The House index was on average 27.5% and 7.6%; and the Cotainer Index 15.0% and 10.0% in rainy and dry season, respectively. The vast majority of Aedes positive containers were found outside the houses (aOR 27.3 (95%CI 14.9-50.0)). The main breeding sites were used tires, water storage containers and trash. Anopheles larvae were also found in Aedes breeding sites in all four communes in the rainy season. CONCLUSIONS These results show that Kinshasa is highly infested with Aedes spp. which indicates a high potential for arbovirus transmission in the area. The present study evidences that Aedes breeding sites are mainly located outdoors. The most productive containers (for Aedes pupae production) during the dry season are the water storage containers, while over the rainy season these are the artificial containers, especially tires. This will have an impact on the design of control strategies for these vectors in Kinshasa.

The global population at risk from mosquito-borne diseases-including dengue, yellow fever, chikungunya and Zika-is expanding in concert with changes in the distribution of two key vectors: Aedes aegypti and Aedes albopictus. The distribution of these species is largely driven by both human movement and the presence of suitable climate. Using statistical mapping techniques, we show that human movement patterns explain the spread of both species in Europe and the United States following their introduction. We find that the spread of Ae. aegypti is characterized by long distance importations, while Ae. albopictus has expanded more along the fringes of its distribution. We describe these processes and predict the future distributions of both species in response to accelerating urbanization, connectivity and climate change. Global surveillance and control efforts that aim to mitigate the spread of chikungunya, dengue, yellow fever and Zika viruses must consider the so far unabated spread of these mosquitos. Our maps and predictions offer an opportunity to strategically target surveillance and control programmes and thereby augment efforts to reduce arbovirus burden in human populations globally.