Merge pull request #657 from cmu-delphi/release/v3.0.14

Release v3.0.14

Author: duanecmu

content/covid19/ctis.md

@@ -9,35 +9,35 @@ aliases:
   Summary results for the survey are available. [Click here to explore]({{< relref "covidcast/survey-results" >}})
 {{< /alert >}}
 
-In collaboration with Facebook, along with a consortium of universities and public health officials, the [Delphi group]({{< relref "/" >}}) at [Carnegie Mellon University](https://www.cmu.edu/) conducts the COVID-19 Trends and Impact Survey to monitor the spread and impact of the COVID-19 pandemic in the United States. This survey is advertised through Facebook. It has run continuously since early April 2020, and about 50,000 people in the United States participate **every day**. Survey results are publicly available on our [CTIS Results Dashboard]({{< relref "covidcast/survey-results" >}}) and [COVIDcast Map]({{< relref "covidcast" >}}); aggregate data can be downloaded through our [COVIDcast Exporter]({{< relref "covidcast/export" >}}), from our [COVIDcast API]({{< apiref "api/covidcast.html" >}}), and as [contingency tables]({{< apiref "symptom-survey/contingency-tables.html">}}) with demographic breakdowns.
+In collaboration with Facebook, along with a consortium of universities and public health officials, the [Delphi group]({{< relref "/" >}}) at [Carnegie Mellon University](https://www.cmu.edu/) conducted the COVID-19 Trends and Impact Survey (CTIS) to monitor the spread and impact of the COVID-19 pandemic in the United States. The survey was advertised through Facebook. It ran continuously from  April 6, 2020, to June 25, 2022, and about 40,000 people in the United States participated **every day**. Survey results are publicly available on our [CTIS Results Dashboard]({{< relref "covidcast/survey-results" >}}) and [COVIDcast Map]({{< relref "covidcast" >}}); aggregate data can be downloaded through our [COVIDcast Exporter]({{< relref "covidcast/export" >}}), from our [COVIDcast API]({{< apiref "api/covidcast.html" >}}), and as [contingency tables]({{< apiref "symptom-survey/contingency-tables.html">}}) with demographic breakdowns.
 
-Such detailed data has never before been available during a public health emergency, and it has already helped public health officials understand how to save lives and how to safely reopen public life. The data also helps researchers understand the social, economic, and health effects of the COVID-19 pandemic.
+Such detailed data has never before been available during a public health emergency, and it has helped public health officials understand how to save lives and how to safely reopen public life. The data also helps researchers understand the social, economic, and health effects of the COVID-19 pandemic.
 
-An international version of the survey is conducted by the University of Maryland in collaboration with Facebook. Its data [is available separately](https://covidmap.umd.edu/).
+An international version of the survey was conducted by the University of Maryland in collaboration with Facebook. Its data [is available separately](https://covidmap.umd.edu/).
 
 Detailed technical documentation about the survey is available on our [site for data users](https://cmu-delphi.github.io/delphi-epidata/symptom-survey/).
 
 ## What are the surveys for?
 
-The survey asks respondents whether they are experiencing any symptoms, then asks a series of questions designed to help researchers understand the spread of COVID-19 and its effect on people in the United States. These include questions about COVID-19 testing, prior medical conditions, social distancing measures, mental health, demographics, and the economic effects of the pandemic.
+The survey asked respondents whether they were experiencing any symptoms, then asked a series of questions designed to help researchers understand the spread of COVID-19 and its effect on people in the United States. These included questions about COVID-19 testing, prior medical conditions, social distancing measures, mental health, demographics, and the economic effects of the pandemic.
 
-Delphi uses information from the survey as part of its public [COVIDcast Map]({{< relref "covidcast" >}}), to inform its forecasts of the pandemic’s spread, and to assist public health agency partners. By providing daily data from all parts of the United States, the survey allows comparisons between regions and allows careful tracking of changes over time. Other researchers use the survey to study factors related to the pandemic's spread, its effects on mental health, how different demographic groups are affected by the pandemic, and numerous other important questions.
+Delphi used information from the survey as part of its public [COVIDcast Map]({{< relref "covidcast" >}}), to inform its forecasts of the pandemic’s spread, and to assist public health agency partners. By providing daily data from all parts of the United States, the survey allows comparisons between regions and allows careful tracking of changes over time. Other researchers use the survey to study factors related to the pandemic's spread, its effects on mental health, how different demographic groups were affected by the pandemic, and numerous other important questions.
 
-Because the survey can reach thousands of respondents every day, its questions focus on what the respondents are experiencing right now. This allows us to track how conditions change across the country every day.
+Because the survey reached thousands of respondents every day, its questions focused on what the respondents were experiencing when they took the survey. This allows us to track how conditions changed across the country every day.
 
-## Who is running these surveys?
+## Who ran these surveys?
 
-The surveys are a collaboration between [Delphi]({{< relref "/" >}}) at Carnegie Mellon University, numerous universities, and Facebook. Researchers at many institutions are analyzing the survey data and assisting in the survey’s development.
+The surveys were a collaboration between [Delphi]({{< relref "/" >}}) at Carnegie Mellon University, numerous universities, and Facebook. Researchers at many institutions are analyzing the survey data and assisted in the survey’s development.
 
-The survey protocol has been reviewed by the Carnegie Mellon University Institutional Review Board. Delphi only publicly releases aggregate data; de-identified individual data is made available to research partners. Our partners are bound by data use agreements to maintain the confidentiality of individual survey responses. Facebook refers its users to the survey, but it does not receive any individual survey data.
+The survey protocol has been reviewed by the Carnegie Mellon University Institutional Review Board. Delphi only publicly releases aggregate data; de-identified individual data is made available to research partners. Our partners are bound by data use agreements to maintain the confidentiality of individual survey responses. Facebook referred its users to the survey, but it never received any individual survey data.
 
-## How are the surveys distributed?
+## How were the surveys distributed?
 
-Participants are recruited for the surveys through an advertisement placed in their Facebook news feed. Facebook automatically selects a random sample of its users to see the advertisement; users who click on the ad are taken to a survey administered by Carnegie Mellon University, and Facebook does not see their survey responses. The survey is available in English, Spanish, Brazilian Portuguese, Vietnamese, French, and simplified Chinese.
+Participants were recruited for the surveys through an advertisement placed in their Facebook news feed. Facebook automatically selected a random sample of its users to see the advertisement each day; users who clicked on the ad were taken to a survey administered by Carnegie Mellon University, and Facebook did not receive their survey responses. The survey was available in English, Spanish, Brazilian Portuguese, Vietnamese, French, and simplified Chinese.
 
-The survey participants are sampled from Facebook users, rather than being a random sample from the entire United States population. But unlike a traditional telephone or mail survey, distribution through Facebook allows us to reach tens of thousands of respondents every day, permitting researchers to make comparisons between many geographic areas and to detect changes as soon as they happen.
+The survey participants were sampled from Facebook users, rather than being a random sample from the entire United States population. But unlike a traditional telephone or mail survey, distribution through Facebook allowed us to reach tens of thousands of respondents every day, permitting researchers to make comparisons between many geographic areas and to detect changes as soon as they happened.
 
-To account for the differences between Facebook users and the United States population, Facebook includes a unique identifier when it links users to the survey. Carnegie Mellon collects these identifiers and provides Facebook with a list of identifiers that completed the survey; Facebook then calculates statistical weights indicating how representative each person is of the United States population, based on demographic data known to Facebook. Crucially, Carnegie Mellon cannot use these identifiers to identify specific Facebook users, and Facebook never receives individual survey responses and cannot link them to specific users.
+To account for the differences between Facebook users and the United States population, Facebook included a unique identifier when it linked users to the survey. Carnegie Mellon collected these identifiers and provided Facebook with a list of identifiers that completed the survey; Facebook then calculated statistical weights indicating how representative each person is of the United States population, based on demographic data known to Facebook. Crucially, Carnegie Mellon cannot use these identifiers to identify specific Facebook users, and Facebook never received individual survey responses and cannot link them to specific users.
 
 ## Where can I see the results?
 
@@ -60,15 +60,15 @@ Our primary description of the survey and its results over the first year of ope
 Other research publications using the survey data include:
 
 - M. Jahja, A. Chin, and R.J. Tibshirani (2022). [Real-Time Estimation of COVID-19 Infections: Deconvolution and Sensor Fusion](https://doi.org/10.1214/22-STS856). *Statistical Science* 37 (2), 207-228.
-- Henneberger, PK, Cox-Ganser, JM, Guthrie, GM, Groth, CP (2022). [Estimates of COVID-19 vaccine uptake in major occupational groups and detailed occupational categories in the United States, April–May 2021](https://doi.org/10.1002/ajim.23370). *American Journal of Industrial Medicine*.
+- Henneberger, PK, Cox-Ganser, JM, Guthrie, GM, Groth, CP (2022). [Estimates of COVID-19 vaccine uptake in major occupational groups and detailed occupational categories in the United States, April–May 2021](https://doi.org/10.1002/ajim.23370). *American Journal of Industrial Medicine* 65 (7), 525-536.
 - K. E. Wiens, C. P. Smith, E. Badillo-Goicoechea, K. H. Grantz, M. K. Grabowski, A. S. Azman, E. A. Stuart, and J. Lessler (2022). [In-person schooling and associated COVID-19 risk in the United States over spring semester 2021](https://doi.org/10.1126/sciadv.abm9128). *Science Advances* 8, eabm9128.
-- F. Petersen, A. Errore, and P. Karaca-Mandic (2022). [Lifting statewide mask mandates and COVID-19 cases: A synthetic control study](https://doi.org/10.1097/MLR.0000000000001725). *Medical Care*.
+- F. Petersen, A. Errore, and P. Karaca-Mandic (2022). [Lifting statewide mask mandates and COVID-19 cases: A synthetic control study](https://doi.org/10.1097/MLR.0000000000001725). *Medical Care* 60 (7), 538-544.
 - F. Pierri, B. L. Perry, M. R. DeVerna, et al. (2022). [Online misinformation is linked to early COVID-19 vaccination hesitancy and refusal](https://doi.org/10.1038/s41598-022-10070-w). *Scientific Reports* 12, 5966.
 - A. Pilehvari, J. Ton, M. R. Mohan, A. Marathe, and A. Vullikanti (2022). [Drivers and Predictors of COVID-19 Vaccine Hesitancy in Virginia](https://doi.org/10.1007/978-3-030-96188-6_8). In: Yang, Z., von Briesen, E. (eds), *Proceedings of the 2021 Conference of The Computational Social Science Society of the Americas*. CSSSA 2021.
 - L. S. Flor, J. Friedman, C. N. Spencer, et al. (2022). [Quantifying the effects of the COVID-19 pandemic on gender equality on health, social, and economic indicators: a comprehensive review of data from March, 2020, to September, 2021](https://doi.org/10.1016/S0140-6736(22)00008-3). *The Lancet*.
 - D. P. Do and R. Frank (2022). [Prior COVID-19 infection: an underappreciated factor in vaccine hesitancy in the USA](https://doi.org/10.1093/pubmed/fdab404). *Journal of Public Health*, fdab404.
 - W. C. King, M. Rubinstein, A. Reinhart, and R. J. Mejia (2021). [Time trends, factors associated with, and reasons for COVID-19 vaccine hesitancy: A massive online survey of US adults from January-May 2021](https://doi.org/10.1371/journal.pone.0260731). *PLoS ONE* 16 (12), e0260731.
-- C. Lupton-Smith, E. Badillo-Goicochea, T.-H. Chang, H. Maniates, K. E. Riehm, I. Schmid, and E. A. Stuart (2021). [Factors associated with county-level mental health during the COVID-19 pandemic](https://doi.org/10.1002/jcop.22785). *Journal of Community Psychology*.
+- C. Lupton-Smith, E. Badillo-Goicochea, T.-H. Chang, H. Maniates, K. E. Riehm, I. Schmid, and E. A. Stuart (2021). [Factors associated with county-level mental health during the COVID-19 pandemic](https://doi.org/10.1002/jcop.22785). *Journal of Community Psychology* 50 (5), 2431-2442.
 - D. P. Do and R. Frank (2021). [U.S. frontline workers and COVID-19 inequities](https://doi.org/10.1016/j.ypmed.2021.106833). *Preventive Medicine* 153, 106833.
 - W. C. King, M. Rubinstein, A. Reinhart, and R. J. Mejia (2021). [COVID-19 vaccine hesitancy January-May 2021 among 18–64 year old US adults by employment and occupation](https://doi.org/10.1016/j.pmedr.2021.101569). *Preventive Medicine Reports* 24, 101569.
 - C. H. Sudre, A. Keshet, M. S. Graham, A. D. Joshi, S. Shilo, H. Rossman, B. Murray, E. Molteni, K. Klaser, L. D. Canas, M. Antonelli, L. H. Nguyen, D. A. Drew, M. Modat, J. Capdevila Pujol, S. Ganesh, J. Wolf, T. Meir, A. T. Chan, C. J. Steves, T. D. Spector, J. S. Brownstein, E. Segal, S. Ourselin, and C. M. Astley (2021). [Anosmia, ageusia, and other COVID-19-like symptoms in association with a positive SARS-CoV-2 test, across six national digital surveillance platforms: an observational study](https://doi.org/10.1016/S2589-7500(21)00115-1). *The Lancet Digital Health* 3 (9), e577-e586.
@@ -80,7 +80,7 @@ Other research publications using the survey data include:
 - Fischer CB, Adrien N, Silguero JJ, Hopper JJ, Chowdhury AI, Werler MM (2021). [Mask adherence and rate of COVID-19 across the United States](https://doi.org/10.1371/journal.pone.0249891). *PLoS ONE* 16 (4), e0249891.
 - Bilinski, A., Emanuel, E., Salomon, J.A. and Venkataramani, A. (2021). [Better Late Than Never: Trends in COVID-19 Infection Rates, Risk Perceptions, and Behavioral Responses in the USA](https://doi.org/10.1007/s11606-021-06633-8). *Journal of General Internal Medicine* 36, 1825-1828.
 - Molteni, E., Astley, C.M., Ma, W. et al. (2021). [Symptoms and syndromes associated with SARS-CoV-2 infection and severity in pregnant women from two community cohorts](https://doi.org/10.1038/s41598-021-86452-3). *Scientific Reports* 11, 6928.
-- Rebeiro, P., Aronoff, D, and Smith, M.K. (2021). [The Impact of State Mask-Wearing Requirements on the Growth of COVID-19 Cases, Hospitalizations, and Deaths in the United States](https://doi.org/10.1093/cid/ciab101). *Clinical Infectious Diseases*, ciab101.
+- Rebeiro, P., Aronoff, D, and Smith, M.K. (2021). [The Impact of State Mask-Wearing Requirements on the Growth of COVID-19 Cases, Hospitalizations, and Deaths in the United States](https://doi.org/10.1093/cid/ciab101). *Clinical Infectious Diseases* 73 (9), 1703–1706.
 - Rader, White, Burns, Chen, Brilliant, Cohen, Shaman, Brilliant, Kraemer, Moritz, Hawkins, Scarpino, Astley, and Brownstein (2021). [Mask-wearing and control of SARS-CoV-2 transmission in the USA: a cross-sectional study](https://doi.org/10.1016/S2589-7500(20)30293-4). *Lancet Digital Health* 3 (3), e148-e157.
 - Flaxman AD, Henning DJ and Duber HC (2020). [The relative incidence of COVID-19 in healthcare workers versus non-healthcare workers: evidence from a web-based survey of Facebook users in the United States](https://doi.org/10.12688/gatesopenres.13202.2). *Gates Open Research*, 4:174.
 - Kreuter, F., Barkay, N., Bilinski, A., Bradford, A., Chiu, S., Eliat, R., Fan, J., Galili, T., Haimovich, D., Kim, B., LaRocca, S., Li, Y., Morris, K., Presser, S., Sarig, T., Salomon, J. A., Stewart, K., Stuart, E. A., & Tibshirani, R. J. (2020). [Partnering with a global platform to inform research and public policy making](https://doi.org/10.18148/srm/2020.v14i2.7761). *Survey Research Methods*, 14 (2), 159-163.
@@ -100,7 +100,7 @@ If you have used the survey data, or the aggregate data available in the COVIDca
 
 ## Can I use the surveys in my research?
 
-Yes! Aggregate data is available for download through the [COVIDcast API]({{< apiref "api/covidcast.html">}}), updated daily. [R and Python clients are available]({{< apiref "api/covidcast_clients.html">}}) for the API. Aggregate data does not include any individual survey responses, only averages over counties and other geographic areas, and does not include all survey questions. See the [API documentation]({{< apiref "api/covidcast-signals/fb-survey.html">}}) for details on how to access the data, what survey questions are available, and how our aggregate values are calculated. Contingency tables giving demographic breakdowns of key survey signals are [also publicly available for download]({{< apiref "symptom-survey/contingency-tables.html">}}).
+Yes! Aggregate data is available for download through the [COVIDcast API]({{< apiref "api/covidcast.html">}}). [R and Python clients are available]({{< apiref "api/covidcast_clients.html">}}) for the API. Aggregate data does not include any individual survey responses, only averages over counties and other geographic areas, and does not include all survey questions. See the [API documentation]({{< apiref "api/covidcast-signals/fb-survey.html">}}) for details on how to access the data, what survey questions are available, and how our aggregate values are calculated. Contingency tables giving demographic breakdowns of key survey signals are [also publicly available for download]({{< apiref "symptom-survey/contingency-tables.html">}}).
 
 Access to de-identified individual survey responses is available to qualified research groups who sign Data Use Agreements protecting the confidentiality of survey responses. If you are interested in using the data for your research, you can [find instructions on our documentation site](https://cmu-delphi.github.io/delphi-epidata/symptom-survey/data-access.html). The available data and survey waves are [documented here](https://cmu-delphi.github.io/delphi-epidata/symptom-survey/).
 

content/covidcast/survey-results.md

@@ -2,7 +2,7 @@
 title: COVIDcast | CTIS Dashboard
 linkTitle: CTIS Dashboard
 description: |
-  In collaboration with Facebook Data for Good, along with a consortium of universities and public health officials, the Delphi Group at Carnegie Mellon University conducts research surveys to monitor the spread and impact of the COVID-19 pandemic in the United States. This survey is advertised through Facebook. It has run continuously since early April 2020.
+  In collaboration with Facebook Data for Good, along with a consortium of universities and public health officials, the Delphi Group at Carnegie Mellon University conducted a research survey to monitor the spread and impact of the COVID-19 pandemic in the United States. The survey was advertised through Facebook. It ran continuously from April 6, 2020 to June 25, 2022.
 layout: covidcast_app
 app_mode: survey-results
 order: 5