A tool by Firecrawl · uses 8 tools · Healthcare
Mosquito-borne disease season outlook
Use when a state or county epidemiologist plans vector surveillance and messaging for the coming dengue or West Nile season. Compares recent temperature and rainfall with climate normals, checks rising public symptom searches by region, reviews WHO and published case trends for imported risk, and drafts a sourced season outlook for the health officer.
Save a copy for your teamTools it calls
Each tool's price and track record across every agent today. Empty means the call worked and found nothing.
ToolPriceMedianSuccessEmpty
NASA POWERDaily weatherPrice5 creditsMedian–Success–Empty–
NASA POWERClimate normalsPrice5 creditsMedian–Success–Empty–
ACIS (NOAA Regional Climate Centers)Daily weather historyPrice5 creditsMedian–Success–Empty–
TrendsInterest over timePrice5 creditsMedian414 msSuccess95.8%Empty31.3%
TrendsInterest by regionPrice5 creditsMedian414 msSuccess95.7%Empty47.4%
WHO Global Health ObservatoryDataPrice5 creditsMedian754 msSuccess97.5%Empty10.3%
WHO Global Health ObservatoryIndicatorsPrice5 creditsMedian587 msSuccess100%Empty0%
PubMed and PMCSearchPrice5 creditsMedian558 msSuccess99.2%Empty28.2%
Instructions
What your agent follows when it runs this tool. Paste them into any assistant connected to Firecrawl.
# Mosquito-borne disease season outlook For one jurisdiction and one or two diseases (dengue, West Nile, chikungunya). Weather primes vectors; searches and case reports show whether people are getting sick. ## 1. Conditions for vectors 1. Pull the last 90 days of temperature and precipitation with @[NASA POWER · Daily weather](alexandria:power-larc-nasa-gov/weather-history/daily_weather) (geometry = jurisdiction centroid). 2. Compare with @[NASA POWER · Climate normals](alexandria:power-larc-nasa-gov/weather-history/climate_normals) for the same months. Warm and wet anomalies support earlier and larger mosquito populations. 3. Where a station record is preferred, check observed rain with @[ACIS · Daily weather history](alexandria:rcc-acis-org/weather-history/daily_weather_history). ## 2. Early public signal 4. Read @[Trends · Interest over time](alexandria:firecrawl-trends/trends/interest_over_time) (keywords such as dengue symptoms, West Nile, mosquito bites; geo = state) and @[Trends · Interest by region](alexandria:firecrawl-trends/trends/interest_by_region) to see which metros are rising. Search interest is a prompt to look, not a case count. ## 3. Imported risk and literature 5. Pull dengue indicators for the main travel source countries with @[WHO GHO · Data](alexandria:who-int/indicators/data) (indicator code found with @[WHO GHO · Indicators](alexandria:who-int/indicators/indicators)). 6. Search @[PubMed · Search](alexandria:pubmed-ncbi-nlm-nih-gov/publications/search) for recent local transmission or vector competence studies in the region. ## Write the outlook - **Conditions:** temperature and rain anomalies versus normal, with dates. - **Signals:** search trend changes by metro, imported-risk countries. - **Plan:** trap placement priorities, clinician alert timing, public messaging dates. - **Confidence:** low, medium or high, and why. - **Sources:** coordinates and date ranges, trend queries, WHO codes, PMIDs. Say what could not be found and that surveillance case data is not in these sources.
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