wanyu/IteraTeR_full_sent huggingface dataset:
Original:  Using the average R from January 21 to 23, 2020 as a proxy of non-intervened transmission intensity, we find, under a linear regression framework for 100 Chinese cities, high temperature and high relative humidity  reduce the transmission of COVID-19 with a significance level of 1\% and 5\% , respectively, even after controlling for population density and GDP per capita of cities.
Revised:  Using the average R from January 21 to 23, 2020 as a proxy of non-intervened transmission intensity, we find, under a linear regression framework for 100 Chinese cities, high temperature and high relative humidity significantly reduce the transmission of COVID-19 with a significance level of 1\% and 5\% , respectively, even after controlling for population density and GDP per capita of cities.
Edit intent: clarity
Original:  Using the average R from January 21 to 23, 2020 as a proxy of non-intervened transmission intensity, we find, under a linear regression framework for 100 Chinese cities, high temperature and high relative humidity  reduce the transmission of COVID-19 with a significance level of 1\% and 5\% , respectively, even after controlling for population density and GDP per capita of cities.
Revised:  Using the average R from January 21 to 23, 2020 as a proxy of non-intervened transmission intensity, we find, under a linear regression framework for 100 Chinese cities, high temperature and high relative humidity reduce the transmission of COVID-19 , respectively, even after controlling for population density and GDP per capita of cities.
Edit intent: coherence
Original:  After estimating the serial interval of COVID-19 from 105  pairs of the virus carrier and the infected, we calculate the daily effective reproductive number, R, for each of all 100 Chinese cities with more than 40 cases.
Revised:  After estimating the serial interval of COVID-19 from 105 hand-collected pairs of the virus carrier and the infected, we calculate the daily effective reproductive number, R, for each of all 100 Chinese cities with more than 40 cases.
Edit intent: meaning-changed
Original:  Using the daily R values from January 21 to 23, 2020 as proxies of non-intervened transmission intensity, we find, under a linear regression framework for 100 Chinese cities , high temperature and high relative humidity significantly reduce the transmission of COVID-19, respectively , even after controlling for population density and GDP per capita of cities.
Revised:  Using the daily R values from January 21 to 23, 2020 as proxies of non-intervened transmission intensity, we find, under a linear regression framework , high temperature and high relative humidity significantly reduce the transmission of COVID-19, respectively , even after controlling for population density and GDP per capita of cities.
Edit intent: clarity
Original:  Using the daily R values from January 21 to 23, 2020 as proxies of non-intervened transmission intensity, we find, under a linear regression framework for 100 Chinese cities , high temperature and high relative humidity significantly reduce the transmission of COVID-19, respectively , even after controlling for population density and GDP per capita of cities.
Revised:  Using the daily R values from January 21 to 23, 2020 as proxies of non-intervened transmission intensity, we find, under a linear regression framework for 100 Chinese cities , high temperature and high humidity significantly reduce the transmission of COVID-19, respectively , even after controlling for population density and GDP per capita of cities.
Edit intent: clarity
Original:  Using the daily R values from January 21 to 23, 2020 as proxies of non-intervened transmission intensity, we find, under a linear regression framework for 100 Chinese cities , high temperature and high relative humidity significantly reduce the transmission of COVID-19, respectively , even after controlling for population density and GDP per capita of cities. One degree Celsius increase in temperature and one percent increase in relative humidity lower R by 0.0383 and 0.0224 , respectively.
Revised:  Using the daily R values from January 21 to 23, 2020 as proxies of non-intervened transmission intensity, we find, under a linear regression framework for 100 Chinese cities , high temperature and high relative humidity significantly reduce the transmission of COVID-19, respectively . One-degree Celsius increase in temperature and one percent increase in relative humidity lower R by 0.0383 and 0.0224 , respectively.
Edit intent: clarity
Original: This paper investigates the influence of air temperature and relative humidity on the transmission of COVID-19 . After estimating the serial interval of COVID-19 from 105 hand-collected pairs of the virus carrier and the infected,
Revised: With the ongoing global pandemic of COVID-19, a question is whether the coming summer in the northern hemisphere will reduce the transmission intensity of COVID-19 . After estimating the serial interval of COVID-19 from 105 hand-collected pairs of the virus carrier and the infected,
Edit intent: meaning-changed
Original: This paper investigates the influence of air temperature and relative humidity on the transmission of COVID-19 . After estimating the serial interval of COVID-19 from 105 hand-collected pairs of the virus carrier and the infected, we calculate the daily effective reproductive number, R, for each of all 100 Chinese cities with more than 40 cases . Using the daily R values from January 21 to 23,2020 as proxies of non-intervened transmission intensity, we find, under a linear regression framework, high temperature and high humidity significantly reduce the transmission of COVID-19 , respectively.
Revised: This paper investigates the influence of air temperature and relative humidity on the transmission of COVID-19 with increased humidity and temperature. In this paper, we investigate this problem using the data from the cases with symptom-onset dates from January 19 to February 10, 2020 for 100 Chinese cities with more than 40 cases . Using the daily R values from January 21 to 23,2020 as proxies of non-intervened transmission intensity, we find, under a linear regression framework, high temperature and high humidity significantly reduce the transmission of COVID-19 , respectively.
Edit intent: meaning-changed
Original:  we calculate the daily effective reproductive number, R, for each of all 100 Chinese cities with more than 40 cases . Using the daily R values from January 21 to 23,2020 as proxies of non-intervened transmission intensity, we find, under a linear regression framework, high temperature and high humidity significantly reduce the transmission of COVID-19 , respectively.
Revised:  we calculate the daily effective reproductive number, R, for each of all 100 Chinese cities , and cases with confirmed dates from March 15 to April 25 for 1,005 U.S. counties. Statistical analysis is performed to assess the relationship between the transmissibility of COVID-19 and the temperature/humidity, by controlling for various demographic, socio-economic, geographic, healthcare and policy factors and correcting for cross-sectional correlation. We find a similar influence of the temperature and relative humidity on effective reproductive number (R values) of COVID-19 , respectively.
Edit intent: meaning-changed
Original:  we calculate the daily effective reproductive number, R, for each of all 100 Chinese cities with more than 40 cases . Using the daily R values from January 21 to 23,2020 as proxies of non-intervened transmission intensity, we find, under a linear regression framework, high temperature and high humidity significantly reduce the transmission of COVID-19 , respectively.One-degree Celsius increase in temperature and one percent increase in relative humidity lower R by 0.0225 and 0.0158,respectively.
Revised:  we calculate the daily effective reproductive number, R, for each of all 100 Chinese cities with more than 40 cases . Using the daily R values from January 21 to 23,2020 as proxies of non-intervened transmission intensity, we find, under a linear regression framework, high temperature and high humidity significantly reduce the transmission of COVID-19 for both China and the U.S. before lockdown in both countries: one-degree Celsius increase in temperature and one percent increase in relative humidity lower R by 0.0225 and 0.0158,respectively.
Edit intent: meaning-changed
Original: One-degree Celsius increase in temperature and one percent increase in relative humidity lower R by 0.0225 and 0.0158,respectively. This result is consistent with the fact that the high temperature and high humidity reduce the transmission of influenza and SARS. It indicates that the arrival of summer and rainy season ] ] ] ] in the northern hemisphere can effectively reduce the transmission of the COVID-19.
Revised: One-degree Celsius increase in temperature reduces R value by about 0.023 (0.026 (95\% CI ] ] ] ] in the northern hemisphere can effectively reduce the transmission of the COVID-19.
Edit intent: meaning-changed
Original:  It indicates that the arrival of summer and rainy season ] ] ] ] in the northern hemisphere can effectively reduce the transmission of the COVID-19.
Revised:  It indicates that the arrival of summer and rainy season ] ]) in the U.S.), and one percent relative humidity rise reduces R value by 0.0078 (0.0076 (95\% CI ] ] in the northern hemisphere can effectively reduce the transmission of the COVID-19.
Edit intent: meaning-changed
Original:  It indicates that the arrival of summer and rainy season ] ] ] ] in the northern hemisphere can effectively reduce the transmission of the COVID-19.
Revised:  It indicates that the arrival of summer and rainy season ] ] ] ]) in the U.S.). If assuming a 30 degree and 25 percent increase in temperature and relative humidity from winter to summer in the northern hemisphere can effectively reduce the transmission of the COVID-19.
Edit intent: meaning-changed
Original:  It indicates that the arrival of summer and rainy season ] ] ] ] in the northern hemisphere can effectively reduce the transmission of the COVID-19. We also developed a website to provide R of major cities around the world according to their daily temperature and relative humidity: URL
Revised:  It indicates that the arrival of summer and rainy season ] ] ] ] in the northern hemisphere , we expect the R values to decline about 0.89 (0.69 by temperature and 0.20 by humidity). Given the notion that the non-intervened R values are around 2.5 to 3, only weather factors cannot make the R values below their critical condition of R<1, under which the epidemic diminishes gradually. Therefore, public health intervention such as social distancing is crucial to block the transmission of COVID-19 even in summer.
Edit intent: meaning-changed
Original: With the ongoing global pandemic of COVID-19, a question is whether the coming summer in the northern hemisphere will reduce the transmission intensity of COVID-19 with increased humidity and temperature. In this paper, we investigate this problem using the data from the cases with symptom-onset dates from January 19 to February 10, 2020 for 100 Chinese cities , and cases with confirmed dates from March 15 to April 25 for 1,005 U.S. counties.
Revised: With the ongoing global pandemic of COVID-19, a question is whether the coming summer in the northern hemisphere will reduce the transmission intensity of COVID-19 across communities after accounting for community-level factors such as demographics, socioeconomic status, and human mobility status. Design: A retrospective cross-sectional regression analysis via the Fama-MacBeth procedure is adopted. Setting: We use the data for COVID-19 daily symptom-onset dates from January 19 to February 10, 2020 for 100 Chinese cities , and cases with confirmed dates from March 15 to April 25 for 1,005 U.S. counties.
Edit intent: meaning-changed
Original:  In this paper, we investigate this problem using the data from the cases with symptom-onset dates from January 19 to February 10, 2020 for 100 Chinese cities , and cases with confirmed dates from March 15 to April 25 for 1,005 U.S. counties.
Revised:  In this paper, we investigate this problem using the data from the cases with symptom-onset cases for 100 Chinese cities , and cases with confirmed dates from March 15 to April 25 for 1,005 U.S. counties.
Edit intent: clarity
Original:  In this paper, we investigate this problem using the data from the cases with symptom-onset dates from January 19 to February 10, 2020 for 100 Chinese cities , and cases with confirmed dates from March 15 to April 25 for 1,005 U.S. counties.
Revised:  In this paper, we investigate this problem using the data from the cases with symptom-onset dates from January 19 to February 10, 2020 for 100 Chinese cities and COVID-19 daily confirmed cases for 1,005 U.S. counties.
Edit intent: meaning-changed
Original:  Statistical analysis is performed to assess the relationship between the transmissibility of COVID-19 and the temperature/humidity,by controlling for various demographic, socio-economic, geographic, healthcare and policy factors and correcting for cross-sectional correlation. We find a similar influence of the temperature and relative humidity on  effective reproductive number (R values)of COVID-19 for both China and the U.S. before lockdown in both countries: one-degree Celsius increase in temperature reduces R value by about 0.023 ( 0.026 (95\% CI [-0.0395,-0.0125]) in China and  0.020 (95\% CI [-0.0311, -
Revised:  Participants: A total of 69,498 cases in China and 740,843 cases in the U.S. are used for calculating the effective reproductive numbers. Primary outcome measures: Regression analysis of the impact of temperature and relative humidity on effective reproductive number (R values)of COVID-19 for both China and the U.S. before lockdown in both countries: one-degree Celsius increase in temperature reduces R value by about 0.023 ( 0.026 (95\% CI [-0.0395,-0.0125]) in China and 0.020 (95\% CI [-0.0311, -
Edit intent: clarity
Original:  We find a similar influence of the temperature and relative humidity on  effective reproductive number (R values)of COVID-19 for both China and the U.S. before lockdown in both countries: one-degree Celsius increase in temperature reduces R value by about 0.023 ( 0.026 (95\% CI [-0.0395,-0.0125]) in China and  0.020 (95\% CI [-0.0311, -
Revised:  We find a similar influence of the temperature and relative humidity on the effective reproductive number (R values)of COVID-19 for both China and the U.S. before lockdown in both countries: one-degree Celsius increase in temperature reduces R value by about 0.023 ( 0.026 (95\% CI [-0.0395,-0.0125]) in China and 0.020 (95\% CI [-0.0311, -
Edit intent: fluency
Original:  We find a similar influence of the temperature and relative humidity on  effective reproductive number (R values)of COVID-19 for both China and the U.S. before lockdown in both countries: one-degree Celsius increase in temperature reduces R value by about 0.023 ( 0.026 (95\% CI [-0.0395,-0.0125]) in China and  0.020 (95\% CI [-0.0311, -
Revised:  We find a similar influence of the temperature and relative humidity on effective reproductive number (R value). Results: Statistically significant negative correlations are found between temperature/relative humidity and the effective reproductive number (R value) in both China and the U.S. before lockdown in both countries: one-degree Celsius increase in temperature reduces R value by about 0.023 ( 0.026 (95\% CI [-0.0395,-0.0125]) in China and 0.020 (95\% CI [-0.0311, -
Edit intent: meaning-changed
Original:  We find a similar influence of the temperature and relative humidity on  effective reproductive number (R values)of COVID-19 for both China and the U.S. before lockdown in both countries: one-degree Celsius increase in temperature reduces R value by about 0.023 ( 0.026 (95\% CI [-0.0395,-0.0125]) in China and  0.020 (95\% CI [-0.0311, -
Revised:  We find a similar influence of the temperature and relative humidity on effective reproductive number (R values)of COVID-19 for both China and the U.S. Conclusions: Higher temperature and higher relative humidity potentially suppress the transmission of COVID-19. Specifically, an increase in temperature reduces R value by about 0.023 ( 0.026 (95\% CI [-0.0395,-0.0125]) in China and 0.020 (95\% CI [-0.0311, -
Edit intent: clarity
Original:  We find a similar influence of the temperature and relative humidity on  effective reproductive number (R values)of COVID-19 for both China and the U.S. before lockdown in both countries: one-degree Celsius increase in temperature reduces R value by about 0.023 ( 0.026 (95\% CI [-0.0395,-0.0125]) in China and  0.020 (95\% CI [-0.0311, -
Revised:  We find a similar influence of the temperature and relative humidity on effective reproductive number (R values)of COVID-19 for both China and the U.S. before lockdown in both countries: one-degree Celsius increase in temperature by about 0.023 ( 0.026 (95\% CI [-0.0395,-0.0125]) in China and 0.020 (95\% CI [-0.0311, -
Edit intent: clarity
Original:  We find a similar influence of the temperature and relative humidity on  effective reproductive number (R values)of COVID-19 for both China and the U.S. before lockdown in both countries: one-degree Celsius increase in temperature reduces R value by about 0.023 ( 0.026 (95\% CI [-0.0395,-0.0125]) in China and  0.020 (95\% CI [-0.0311, -
Revised:  We find a similar influence of the temperature and relative humidity on effective reproductive number (R values)of COVID-19 for both China and the U.S. before lockdown in both countries: one-degree Celsius increase in temperature reduces R value by 1 degree Celsius is associated with a reduction in the R value of COVID-19 by 0.026 (95\% CI [-0.0395,-0.0125]) in China and 0.020 (95\% CI [-0.0311, -
Edit intent: clarity
Original:  We find a similar influence of the temperature and relative humidity on  effective reproductive number (R values)of COVID-19 for both China and the U.S. before lockdown in both countries: one-degree Celsius increase in temperature reduces R value by about 0.023 ( 0.026 (95\% CI [-0.0395,-0.0125]) in China and  0.020 (95\% CI [-0.0311, -
Revised:  We find a similar influence of the temperature and relative humidity on effective reproductive number (R values)of COVID-19 for both China and the U.S. before lockdown in both countries: one-degree Celsius increase in temperature reduces R value by about 0.023 ( 0.026 (95\% CI [-0.0395,-0.0125]) in China and by 0.020 (95\% CI [-0.0311, -
Edit intent: fluency
Original: 0.0096]) in the U.S. ), and one percent relative humidity rise reduces R value by 0.0078 ( 0.0076 (95\% CI [-0.0108,-0.0045]) in China and  0.0080 (95\% CI [-0.0150,-0.0010]) in the U.S. ). If assuming a 30 degree and 25 percent increase in temperature and relative humidity from winter to summer in the northern hemisphere, we expect the R values to decline about 0.89 (0.69 by temperatureand 0.20 by humidity ).
Revised: 0.0096]) in the U.S. ; an increase in relative humidity by 1\% is associated with a reduction in the R value by 0.0078 ( 0.0076 (95\% CI [-0.0108,-0.0045]) in China and 0.0080 (95\% CI [-0.0150,-0.0010]) in the U.S. ). If assuming a 30 degree and 25 percent increase in temperature and relative humidity from winter to summer in the northern hemisphere, we expect the R values to decline about 0.89 (0.69 by temperatureand 0.20 by humidity ).
Edit intent: clarity
Original: 0.0096]) in the U.S. ), and one percent relative humidity rise reduces R value by 0.0078 ( 0.0076 (95\% CI [-0.0108,-0.0045]) in China and  0.0080 (95\% CI [-0.0150,-0.0010]) in the U.S. ). If assuming a 30 degree and 25 percent increase in temperature and relative humidity from winter to summer in the northern hemisphere, we expect the R values to decline about 0.89 (0.69 by temperatureand 0.20 by humidity ).
Revised: 0.0096]) in the U.S. ), and one percent relative humidity rise reduces R value by 0.0076 (95\% CI [-0.0108,-0.0045]) in China and 0.0080 (95\% CI [-0.0150,-0.0010]) in the U.S. ). If assuming a 30 degree and 25 percent increase in temperature and relative humidity from winter to summer in the northern hemisphere, we expect the R values to decline about 0.89 (0.69 by temperatureand 0.20 by humidity ).
Edit intent: clarity
Original: 0.0096]) in the U.S. ), and one percent relative humidity rise reduces R value by 0.0078 ( 0.0076 (95\% CI [-0.0108,-0.0045]) in China and  0.0080 (95\% CI [-0.0150,-0.0010]) in the U.S. ). If assuming a 30 degree and 25 percent increase in temperature and relative humidity from winter to summer in the northern hemisphere, we expect the R values to decline about 0.89 (0.69 by temperatureand 0.20 by humidity ).
Revised: 0.0096]) in the U.S. ), and one percent relative humidity rise reduces R value by 0.0078 ( 0.0076 (95\% CI [-0.0108,-0.0045]) in China and by 0.0080 (95\% CI [-0.0150,-0.0010]) in the U.S. ). If assuming a 30 degree and 25 percent increase in temperature and relative humidity from winter to summer in the northern hemisphere, we expect the R values to decline about 0.89 (0.69 by temperatureand 0.20 by humidity ).
Edit intent: fluency
Original: 0.0096]) in the U.S. ), and one percent relative humidity rise reduces R value by 0.0078 ( 0.0076 (95\% CI [-0.0108,-0.0045]) in China and  0.0080 (95\% CI [-0.0150,-0.0010]) in the U.S. ). If assuming a 30 degree and 25 percent increase in temperature and relative humidity from winter to summer in the northern hemisphere, we expect the R values to decline about 0.89 (0.69 by temperatureand 0.20 by humidity ). Given the notion that the non-intervened R values are around 2.5 to 3, only weather factors cannot make the R values below their critical condition of R<1, under which the epidemic diminishes gradually. Therefore, public health intervention such as social distancing is crucial to block the transmission of COVID-19 even in summer .
Revised: 0.0096]) in the U.S. ), and one percent relative humidity rise reduces R value by 0.0078 ( 0.0076 (95\% CI [-0.0108,-0.0045]) in China and 0.0080 (95\% CI [-0.0150,-0.0010]) in the U.S. Therefore, the potential impact of temperature/relative humidity on the effective reproductive number alone is not strong enough to stop the pandemic .
Edit intent: meaning-changed
Original:  To address this shortcoming, we present ConceptScope, a text visualization technique that aids visual analysis of documents by referencing a domain ontology to represent the conceptual relationships in a document . ConceptScope uses a Bubble TreeMap visualizationlinked to multiple coordinated views of document structure and concept hierarchy .
Revised:  To address this shortcoming, we present ConceptScope, a technique that utilizes a domain ontology to represent the conceptual relationships in a document . ConceptScope uses a Bubble TreeMap visualizationlinked to multiple coordinated views of document structure and concept hierarchy .
Edit intent: clarity
Original:  To address this shortcoming, we present ConceptScope, a text visualization technique that aids visual analysis of documents by referencing a domain ontology to represent the conceptual relationships in a document . ConceptScope uses a Bubble TreeMap visualizationlinked to multiple coordinated views of document structure and concept hierarchy .
Revised:  To address this shortcoming, we present ConceptScope, a text visualization technique that aids visual analysis of documents by referencing a domain ontology to represent the conceptual relationships in a document in the form of a Bubble Treemap visualization. Multiple coordinated views of document structure and concept hierarchy .
Edit intent: clarity