Incidence and Prevalence Project

Editor-In-Chief: C. Michael Gibson, M.S., M.D. [1]

Overview

The purpose of the Incidence and Prevalence Project is to create the world's largest open source repository of published epidemiologic data. WikiDoc intends to utilize this information to help patients understand how likely or unlikely they are to develop a specific disease/condition. This project is intended for high school students, college students, medical students, doctoral students or higher to contribute their expertise. This project will require you to gain a mastery of conducting academic research and calculating prevalence based on published data. WikiDoc welcomes your involvement in contributing to this project.

Goals of the Incidence and Prevalence Project

• To assemble the world's largest open source repository of published prevalence data for rare diseases.
• To help patients understand and quantify the risk of developing a specific disease or condition.
• To create data to help build an artificial intelligence system for diagnosing diseases.

Who can contribute to the Incidence and Prevalence Project?

The Incidence and Prevalence Project is intended for editors at an Assistant Editor-in-Chief level or higher. It is specifically designed for students of all levels (high school, college, medical school, and doctoral programs) to help hone their quantitative research skills.

How to get started

If you are interested in the Incidence and Prevalence Project, please email WikiDoc to obtain your portion to research of the Prevalence database.

Next steps

1. A member of the WikiDoc team will send you a research assignment. To begin, open your spreadsheet. 2. Identify a disease in column B. Note: You will ignore any diseases in blue font. 3. Find the prevalence of the disease in the form of cases per 100,000 using reputable resources. An example of a reputable source would be the World Health Organization, the Centers for Disease Control, the National Institutes of Health, the Clinton Foundation, etc. When possible, find the prevalence of the disease in both developed countries (column C) and undeveloped/developing countries (column D). Click here to determine if a country is developed versus developing.

• Prevalence is defined as the total number of cases of a disease in a given population at a given time.

• Scenario One: Sometimes the prevalence of a disease can be taken directly from a source and other times it may be given but may need to be converted into the form of cases per 100,000. Ex. 20 cases per 1,000 should be converted to 2,000 cases per 100,000 and entered as “2,000” in the appropriate column.
• Scenario Two: Sometimes the prevalence cannot be found for a particular disease. In this scenario the prevalence can be calculated by dividing the number of reported cases by the size of the population those cases were reported in. Ex. If 2,000 cases of a disease were reported in the U.S. the prevalence of the disease would be calculated by dividing those cases by 316,000,000 - the population of the U.S. 2,000/316,000,000 = 6.32911E-06. Multiply this result by 100,000 to achieve the statistic in the form of cases per 100,000. For this example “0.632911392” should be entered in column C. Here is the generalized formula:

• Perform all calculations in the excel sheet using the basic excel functions. Please also provide a short and simple explanation of the calculation in column E. This should include the number of cases and the population size used in the calculation. Adapt the following explanation for this purpose: The prevalence was calculated by dividing the X number of reported cases by the Y population of country Z and multiplied by 100,000.

4. Enter the source(s) from which information was taken in columns F and G. Be sure that another researcher could independently verify your calculations using only the sources you provide in these columns and the explanation of the calculations you performed. 5. Save the spreadsheet as “Prevalence DB_[Your Initials].xlsx” replacing the “Your Initials” portion with your initials. For example, “Prevalence DB_KMF.xlsx”. 6. Send the completed spreadsheet to Kristin (kfeeney@perfuse.org).

If you have any questions, please ask before you proceed. Kristin is available via telephone Monday-Friday 8AM-5PM EST at 617-632-7590. You may also email Kristin (kfeeney@perfuse.org) with any questions you have.

Developed Countries

Country Name	Status
Andorra	Developed
Australia	Developed
Austria	Developed
Belgium	Developed
Bermuda	Developed
Canada	Developed
Cyprus	Developed
Czech Republic	Developed
Denmark	Developed
Faroe Islands	Developed
Finland	Developed
France	Developed
Germany	Developed
Greece	Developed
Holy See	Developed
Hong Kong	Developed
Iceland	Developed
Ireland	Developed
Israel	Developed
Italy	Developed
Japan	Developed
Liechtenstein	Developed
Luxembourg	Developed
Malta	Developed
Monaco	Developed
Netherlands	Developed
New Zeland	Developed
Norway	Developed
Portugal	Developed
San Marino	Developed
Singapore	Developed
Slovak Republic	Developed
Slovenia	Developed
South Korea	Developed
Spain	Developed
Sweden	Developed
Switzerland	Developed
Taiwan	Developed
United Kingdom	Developed
United States	Developed

Developing Countries

Country Name	Status
Afghanistan	Developing
Algeria	Developing
Angola	Developing
Antigua and Barbuda	Developing
Argentina	Developing
Aruba	Developing
The Bahamas	Developing
Bahrain	Developing
Bangladesh	Developing
Barbados	Developing
Belize	Developing
Benin	Developing
Bhutan	Developing
Bolivia	Developing
Botswana	Developing
Brazil	Developing
Burkina Faso	Developing
Burma	Developing
Burduni	Developing
Cambodia	Developing
Cameroon	Developing
Cape Verde	Developing
Central African Republic	Developing
Chad	Developing
Chile	Developing
China	Developing
Colombia	Developing
Comoros	Developing
Democratic Republic of the Congo	Developing
Republic of the Congo	Developing
Costa Rica	Developing
Cote d'Ivoire	Developing
Cyprus	Developing
Djibouti	Developing
Dominica	Developing
Dominican Republic	Developing
Ecuador	Developing
Egypt	Developing
El Salvador	Developing
Equatorial Guinea	Developing
Ethiopia	Developing
Fiji	Developing
Gabon	Developing
The Gambia	Developing
Ghan	Developing
Grenada	Developing
Guatemala	Developing
Guinea	Developing
Guinea-Bissau	Developing
Guyana	Developing
Haiti	Developing
Honduras	Developing
India	Developing
Indonesia	Developing
Iran	Developing
Iraq	Developing
Jamaica	Developing
Jordan	Developing
Kenya	Developing
Kiribati	Developing
Kuwait	Developing
Loas	Developing
Lebanon	Developing
Lesotho	Developing
Liberia	Developing
Libya	Developing
Madagascar	Developing
Malwai	Developing
Malaysia	Developing
Maldives	Developing
Mali	Developing
Marshall Islands	Developing
Mauritania	Developing
Mauritius	Developing
Mexico	Developing
Federated States of Micronesia	Developing
Morocco	Developing
Mozambique	Developing
Namibia	Developing
Nepal	Developing
Netherlands Antilles	Developing
Nicaragua	Developing
Niger	Developing
Nigeria	Developing
Oman	Developing
Pakistan	Developing
Panama	Developing
Papua New Guinea	Developing
Paraguay	Developing
Peru	Developing
Philippines	Developing
Qatar	Developing
Rwanda	Developing
Saint Kitts and Nevis	Developing
Saint Lucia	Developing
Saint Vincent and the Grenadines	Developing
Samoa	Developing
Sao Tome and Principe	Developing
Saudi Arabia	Developing
Senegal	Developing
Seychelles	Developing
Sierra Leone	Developing
Solomon Islands	Developing
Somalia	Developing
South Africa	Developing
Sri Lanka	Developing
Sudan	Developing
Suriname	Developing
Swaziland	Developing
Syria	Developing
Tanzania	Developing
Thailand	Developing
Togo	Developing
Trinidad and Tobago	Developing
Tunisia	Developing
Turkey	Developing
United Arab Emirates	Developing
Uganda	Developing
Uruguay	Developing
Vanuatu	Developing
Venezuela	Developing
Vietnam	Developing
Yemen	Developing
Zambia	Developing
Zimbabwe	Developing
American Samoa	Developing
Anguilla	Developing
British Virgin Islands	Developing
Brunei	Developing
Cayman Islands	Developing
Christmas Island	Developing
Cocos Island	Developing
Cook Islands	Developing
Cuba	Developing
Eritrea	Developing
Falkland Islands	Developing
French Guiana	Developing
French Polynesia	Developing
Gaza Strip	Developing
Gabraltar	Developing
Greenland	Developing
Gaudeloupe	Developing
Gaum	Developing
Guernsey	Developing
Isle of Man	Developing
Jersey	Developing
North Korea	Developing
Macau	Developing
Martinique	Developing
Mayotte	Developing
Montserrat	Developing
Nauru	Developing
New Caledonia	Developing
Niue	Developing
Norfolk Island	Developing
Northern Mariana Islands	Developing
Palau	Developing
Pitcairn Islands	Developing
Puerto Rico	Developing
Reunion	Developing
Saint Helena	Developing
Ascension	Developing
Tristan de Cunha	Developing
Saint Pierre and Miquelon	Developing
Tokelau	Developing
Tonga	Developing
Turks and Caicos Islands	Developing
Tuvalu	Developing
Virgin Islands	Developing
Wallis and Futuna	Developing
West Bank	Developing
Western Sahara	Developing