Leopoldo M. Rueda

The AFHSC-Division of GEIS Operations Predictive Surveillance Program: a multidisciplinary approach for the early detection and response to disease outbreaks

The Armed Forces Health Surveillance Center, Division of Global Emerging Infections Surveillance and Response System Operations (AFHSC-GEIS) initiated a coordinated, multidisciplinary program to link data sets and information derived from eco-climatic remote sensing activities, ecologic niche modeling, arthropod vector, animal disease-host/reservoir, and human disease surveillance for febrile illnesses, into a predictive surveillance program that generates advisories and alerts on emerging infectious disease outbreaks. The program’s ultimate goal is pro-active public health practice through pre-event preparedness, prevention and control, and response decision-making and prioritization. This multidisciplinary program is rooted in over 10 years experience in predictive surveillance for Rift Valley fever outbreaks in Eastern Africa. The AFHSC-GEIS Rift Valley fever project is based on the identification and use of disease-emergence critical detection points as reliable signals for increased outbreak risk. The AFHSC-GEIS predictive surveillance program has formalized the Rift Valley fever project into a structured template for extending predictive surveillance capability to other Department of Defense (DoD)-priority vector- and water-borne, and zoonotic diseases and geographic areas. These include leishmaniasis, malaria, and Crimea-Congo and other viral hemorrhagic fevers in Central Asia and Africa, dengue fever in Asia and the Americas, Japanese encephalitis (JE) and chikungunya fever in Asia, and rickettsial and other tick-borne infections in the U.S., Africa and Asia.

Insight into Global Mosquito Biogeography from Country Species Records

Abstract To advance our limited knowledge of global mosquito biogeography, we analyzed country occurrence records from the Systematic Catalog of the Culicidae (http://www.mosquitocatalog. org/main.asp), and we present world maps of species richness and endemism. A latitudinal biodiversity gradient was observed, with species richness increasing toward the equator. A linear log-log species (y)–area (x) relationship (SAR) was found that we used to compare observed and expected species densities for each country. Brazil, Indonesia, Malaysia, and Thailand had the highest numbers of species, and Brazil also had the highest taxonomic output and number of type locations. Brazil, Australia, the Philippines, and Indonesia had the highest numbers of endemic species, but excluding small island countries, Panama, French Guiana, Malaysia, and Costa Rica had the highest densities of total species and endemic species. Globally, 50% of mosquito species are endemic. Island countries had higher total number of species and higher number of endemic species than mainland countries of similar size, but the slope of the SAR was similar for island and mainland countries. Islands also had higher numbers of publications and type locations, possibly due to greater sampling effort and/or species endemism on islands. The taxonomic output was lowest for some countries in Africa and the Middle East. A consideration of country estimates of past sampling effort and species richness and endemism is proposed to guide mosquito biodiversity surveys. For species groups, we show that the number of species of Anopheles subgenus Anopheles varies with those of subgenus Cellia in a consistent manner between countries depending on the region. This pattern is discussed in relation to hypotheses about the historical biogeography and ecology of this medically important genus. Spatial analysis of country species records offers new insight into global patterns of mosquito biodiversity and survey history.

MosquitoMap and the Mal-area calculator: new web tools to relate mosquito species distribution with vector borne disease

BackgroundMosquitoes are important vectors of diseases but, in spite of various mosquito faunistic surveys globally, there is a need for a spatial online database of mosquito collection data and distribution summaries. Such a resource could provide entomologists with the results of previous mosquito surveys, and vector disease control workers, preventative medicine practitioners, and health planners with information relating mosquito distribution to vector-borne disease risk.ResultsA web application called MosquitoMap was constructed comprising mosquito collection point data stored in an ArcGIS 9.3 Server/SQL geodatabase that includes administrative area and vector species x country lookup tables. In addition to the layer containing mosquito collection points, other map layers were made available including environmental, and vector and pathogen/disease distribution layers. An application within MosquitoMap called the Mal-area calculator (MAC) was constructed to quantify the area of overlap, for any area of interest, of vector, human, and disease distribution models. Data standards for mosquito records were developed for MosquitoMap.ConclusionMosquitoMap is a public domain web resource that maps and compares georeferenced mosquito collection points to other spatial information, in a geographical information system setting. The MAC quantifies the Mal-area, i.e. the area where it is theoretically possible for vector-borne disease transmission to occur, thus providing a useful decision tool where other disease information is limited. The Mal-area approach emphasizes the independent but cumulative contribution to disease risk of the vector species predicted present. MosquitoMap adds value to, and makes accessible, the results of past collecting efforts, as well as providing a template for other arthropod spatial databases.

Potential Distribution of Two Species in the Medically Important Anopheles minimus Complex (Diptera: Culicidae)

Abstract Anopheles minimus Theobald (=An. minimus A) and possibly Anopheles harrisoni Harbach & Manguin (=An. minimus C) are important malaria vector species in the Minimus Complex in Southeast Asia. The distributions of these species are poorly known, although detailed information could benefit malaria vector incrimination and control. We used published collection records of these species and environmental geospatial data to construct consensus ecological niche models (ENM) of each species’ potential geographic distribution. The status of the Indian taxon An. fluviatilis S as a species distinct from An. harrisoni has been debated in the literature, so we tested for differentiation in ecological niche characteristics. The predicted potential distribution of An. minimus is more southerly than that of An. harrisoni: Southeast Asia is predicted to be more suitable for An. minimus, and China and India are predicted more suitable for An. harrisoni, so An. harrisoni seems to dominate under cooler conditions. The distribution of An. minimus is more continuous than that of An. harrisoni: disjunction in the potential distribution of the latter is suggested between India and Southeast Asia. Anopheles fluviatilis S occurrences are predicted within the An. harrisoni ecological potential, so we do not document ecological differentiation that might reject conspecificity. Overall, model predictions offer a synthetic view of the distribution of this species complex across the landscapes of southern and eastern Asia.

The value of georeferenced collection records for predicting patterns of mosquito species richness and endemism in the Neotropics

Abstract 1. Determining large‐scale distribution patterns for mosquitoes could advance knowledge of global mosquito biogeography and inform decisions about where mosquito inventory needs are greatest.

Geographic distribution and ecology of potential malaria vectors in the Republic of Korea.

ABSTRACT Environmental geospatial data and adult and larval mosquito collection data for up to 106 sites throughout the Republic of Korea (ROK) were used to develop ecological niche models (ENMs) of the potential geographic distribution for eight anopheline species known to occur there. The areas predicted suitable for the Hyrcanus Group species were the most extensive for Anopheles sinensis Wiedemann, An. kleini Rueda, An. belenrae Rueda, and An. pullus Yamada, intermediate for An. sineroides Yamada, and the most restricted for An. lesteri Baisas and Hu and the non-Hyrcanus Group species An. koreicus Yamada and Watanabe and An. lindesayi Yamada. The relative vectorial importance of these species is unknown, and all, except An. koreicus and An. lindesayi, are predicted to occur widely in the northwest of the ROK where malaria transmission has been sporadic since its resurgence in 1993. Our ENMs suggest that it is unlikely that An. koreicus and An. lindesayi are vectors, but we do not document consistent geographic differentiation that might incriminate any of the other species as vectors. Because all species are predicted to occur in North Korea, we also cannot reject the hypothesis that malaria infected mosquitoes from North Korea may have been the cause of the resurgence of malaria in the ROK. Ecological differentiation of the eight species is inferred from collection locations and 34 environmental layers based on remote sensing and global climatic averages. Interspecific differences were noted, and characterizing mosquito habitats by ground-based and remote sensing methods is proposed.

FIRST RECORD OF CULEX (CULEX) CORONATOR IN LOUISIANA, USA

ABSTRACT The 1st confirmed record of Culex coronator for Louisiana was made at Fort Polk, LA, from carbon dioxide–baited light trap and gravid trap collections performed from April to October 2004. In addition to the new record, 17 mosquito species in 5 genera (Aedes, Anopheles, Coquillettidia, Culex, and Psorophora) were collected. Collection-site and species distribution data are included.

VALIDATION OF ECOLOGICAL NICHE MODELS FOR POTENTIAL MALARIA VECTORS IN THE REPUBLIC OF KOREA

Abstract Data on molecularly identified adult and larval mosquitoes collected from 104 sites from the Republic of Korea (ROK) in 2007 were used to test the predictive ability of recently reported ecological niche models (ENMs) for 8 potential malaria vectors. The ENMs, based on the program Maxent and the least presence threshold criterion, predicted 100% of new collection locations for Anopheles sinensis, An. belenrae, An. pullus, and An. sineroides; 96% of locations for An. kleini; and 83% for An. lesteri, but were relatively unsuccessful for the infrequently collected non-Hyrcanus group species An. koreicus and An. lindesayi japonicas. The ENMs produced with the use of Maxent had fewer omission errors than those using the Genetic Algorithm for Rule-Set Prediction program. The results emphasize the importance of independent test data for validation and improvement of ENMs, and lend support for the further development of ENMs for predicting the distribution of malaria vectors in the ROK.

Importance of the"What, "" When,"and"Where"of Mosquito Collection Events

ABSTRACT There is increasing need to apply established standards for recording data on mosquito collection events, because of the diversity of potential data providers, and the growth and interoperability of online databases designed to host these collection records. In particular, adequate taxonomic and georeference data are needed for geodatabases such as Mosquitomap (http://www.mosquitomap.org/) that map and compare these collection points with other spatial information in a geographical information system (GIS) setting. Accurately georeferenced collection data are crucial for understanding mosquito biogeography, ecology, and the impact of environmental changes, as well as for species distribution modeling, planning mosquito surveys, and for determining disease risk. We sampled representative published reports of new mosquito species records from 1980 in North America to the present to ascertain the quality of georeference information. Our results show that authors have increased the frequency of reporting georeferences but that they vary in the precision of the georeference, and some information, such as the source, date, and datum of the georeference, are usually not given. We discuss recently established standards for recording collection events, some relevant online resources available to researchers to assist them in their georeferencing, and the data input schema developed for the Mosquitomap database. We propose that the mosquito research community adopt data standards for recording and reporting the results of mosquito collection events to increase the value of these data. In particular, we recommend authors lodge voucher specimens and use a GPS set to the WGS84 datum.

HABITATS AND DISTRIBUTION OF ANOPHELES SINENSIS AND ASSOCIATED ANOPHELES HYRCANUS GROUP IN JAPAN

ABSTRACT Mosquito collections were carried out in August 2002 and July 2003 in Japan. Anopheles sinensis of the Hyrcanus Group, Myzomyia Series of Anopheles, was the most common species encountered. The distribution and habitats of 5 Anopheles Hyrcanus Group species are included. Eight species belonging to Aedes, Culex, and Uranotaenia were found associated with An. sinensis in rice paddies and a variety of other larval habitats.