• No results found

Using web data to improve surveillance for heat sensitive health outcomes

N/A
N/A
Protected

Academic year: 2020

Share "Using web data to improve surveillance for heat sensitive health outcomes"

Copied!
13
0
0

Loading.... (view fulltext now)

Full text

Loading

Figure

Fig. 1 The number of Twitter tweets by county
Fig. 2 AIC changes after adding one of web data to the second model (days of week and maximum temperature)
Fig. 3 The significant beta coefficients of all web data up to 3 lags
Fig. 4 The significant beta coefficients of all web data up to 3 lags

References

Related documents

Having considered the report of the Chief Executive and the information provided by the Head of Planning and Regeneration and the Team Leader: Regeneration

(e) the larger size of rows in the single table compared to those of the normalized tables in the anchor database causes more data having to be read during a query, provided that

When kids don’t drink enough water while playing sports, they could be at risk for dehydration, heat exhaustion or even heatstroke. While at play, children generate more heat than

Combined Power and Cooling Details Gas Data Halls CHW from absorption chillers Heat rejection Hot Water Heat Recovery. Hot Gas Heat Recovery

How were the ICT projects the author*) worked on (the portfolio ofprojects) managed (the key here is the author's observations and experiences) with regará to success and

This stage performs five consecutive tasks: i) CALs are extended with additional information from the reference genome; ii) extended CALs which are close to each other in the

● Lack of sweating despite heat ● Seizures ● Unconsciousness ● Death Heat Stroke.. The person’s internal temperature and mental state are what differentiate heat exhaustion

The prime number theorem; zeta functions; Tauberian theorems for Laplace transforms; Beurling generalized primes; Beurling generalized integersG. Debruyne gratefully