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--- a/README.md +++ b/README.md @@ -1,4 +1,43 @@ -<h1>Counts of Congenital Rubella Syndrome Reported in UNITED STATES OF AMERICA: 2001-2017</h1> +<!DOCTYPE html> +<html lang="en"> +<head> + <meta charset="UTF-8"> + <title>Counts of Congenital Rubella Syndrome Reported in USA: 2001-2017</title> + <style> + body { + font-family: Arial, sans-serif; + max-width: 900px; + margin: 20px auto; + line-height: 1.6; + padding: 0 20px; + } + h1, h2, h3 { + color: #333; + } + ul { + list-style-type: disc; + margin-left: 20px; + } + li { + margin-bottom: 4px; + } + .section { + margin-bottom: 20px; + } + .creator, .contributor { + display: flex; + align-items: center; + } + .orcid { + margin-left: 5px; + font-style: italic; + color: #555; + } + </style> +</head> +<body> + + <h1>Counts of Congenital Rubella Syndrome Reported in UNITED STATES OF AMERICA: 2001-2017</h1> <div class="section"> <h2>Creators</h2> @@ -46,4 +85,7 @@ Separate cumulative from non-cumulative time interval series. Case count time series in Project Tycho datasets can be "cumulative" or "fixed-intervals". Cumulative case count time series consist of overlapping case count intervals starting on the same date, but ending on different dates. For example, each interval in a cumulative count time series can start on January 1st, but end on January 7th, 14th, 21st, etc. It is common practice among public health agencies to report cases for cumulative time intervals. Case count series with fixed time intervals consist of mutually exclusive time intervals that all start and end on different dates and all have identical length (day, week, month, year). Given the different nature of these two types of case count data, we indicated this with an attribute for each count value, named "PartOfCumulativeCountSeries". </li> </ul> - </div> \ No newline at end of file + </div> + +</body> +</html>