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Mosquito data upload page
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DocGraph would like to apply advanced machine learning and Big Data analysis tools to mosquito trap data. Using this approach, we expect to improve our responses to mosquito borne illness. Thank you for your help in this project.
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If it is possible for you to provide a cohesive dataset, it would be extremely valuable. However, this issue is so critical that we will accept data provided in any format that can be delivered immediately. We can do the work of merging different files into a cohesive dataset on our end.
It is also acceptable to release this information as it is being found, rather than waiting to find or build a comprehensive dataset. Please send us whatever you can find, as soon as you find it.
Please understand that we need specific locations and dates in order to make this approach viable. Currently, CDC data is listed at the county-level. Other currently available data lists “parts of town” where data was collected. That is insufficient for a Geo-based Big Data analysis. In order to be effective, we need to merge data about where rainfall has occurred, with data about where mosquitos have appeared. This requires us to have accurate geocodes to within 200 feet of the actual mosquito trap location. There are multiple websites that you can use to discover the latitude and longitude of very specific locations by dropping pins on Google Maps (etc). We host one of these at http://tokengeo.com/
Please take the time to geocode the locations where you have your mosquito traps, and include that information in your response to this request.
Thank you!
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As a basis, we are specifically requesting the following mosquito trap data:
- Mosquito counts
- Trap location – Latitude/ longitude point as accurate as possible. If latitude/ longitude point is not available, then the closest physical mailing address to trap
- Trap date – as close to a day window as possible
- Genus
- Species
- Type (banded legs, etc)
- Sex
- Count of mosquitoes tested positive as carriers of the following:
- West Nile
- St Louis Encephalitis Virus
- Eastern Equine Encephalitis Virus
- Western Equine Encephalitis Virus
- La Crosse Virus
- Zika
- Other
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Thank you
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