Relationship Between Climate Change and Marmot Plague of Marmota himalayana Plague Focus - the Altun Mountains of the Qinghai-Xizang Plateau, China, 2000-2022
Plague is a zoonotic disease that occurs naturally in specific geographic areas. Climate change can influence the populations of the plague host or vector, leading to variations in the occurrence and epidemiology of plague in animals. In this study, we collected meteorological and plague epidemiolog...
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creator | Duan, Qun Zheng, Xiaojin Gan, Zhiqiang Lyu, Dongyue Sha, Hanyu Lu, Xinmin Zhao, Xiaoling Bukai, Asaiti Duan, Ran Qin, Shuai Wang, Li Xi, Jinxiao Wu, Di Zhang, Peng Tang, Deming He, Zhaokai Jing, Huaiqi Kan, Biao Wang, Xin |
description | Plague is a zoonotic disease that occurs naturally in specific geographic areas. Climate change can influence the populations of the plague host or vector, leading to variations in the occurrence and epidemiology of plague in animals.
In this study, we collected meteorological and plague epidemiological data from the
plague focus in the Altun Mountains of the Qinghai-Xizang Plateau. The data spanned from 2000 to 2022. We describe the climatic factors and plague epidemic conditions and we describe their analysis by Pearson's correlation.
During the period from 2000 to 2022, the isolation rates of
(
) from marmots and fleas were 9.27% (451/4,864) and 7.17% (118/1,646), respectively. Additionally, we observed a positive rate of F1 antibody of 11.25% (443/3,937) in marmots and 18.16% (142/782) in dogs. With regards to climate, there was little variation, and a decreasing trend in blowing-sand days was observed. The temperature in the previous year showed a negative correlation with the
isolation rate in marmots (r=-0.555,
=0.011) and the positive rate of F1 antibody in marmots (r=-0.552,
=0.012) in the current year. The average annual precipitation in the previous two years showed a positive correlation with marmot density (r=0.514,
=0.024), while blowing-sand days showed a negative correlation with marmot density (r=-0.701,
=0.001). Furthermore, the average annual precipitation in the previous three years showed a positive correlation with the isolation rate of
from marmots (r=0.666,
=0.003), and blowing-sand days showed a negative correlation with marmot density (r=-0.597,
=0.009).
The findings of this study indicate that there is a hysteresis effect of climate change on the prevalence of plague. Therefore, monitoring climate conditions can offer significant insights for implementing timely preventive and control measures to combat plague epidemics. |
doi_str_mv | 10.46234/ccdcw2024.015 |
format | Article |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10832154</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2922446491</sourcerecordid><originalsourceid>FETCH-LOGICAL-c346t-a153a1f16fcbd93ff4740572aa5909c4b2f54d7cacbebdc2e2ccb0329f9187dd3</originalsourceid><addsrcrecordid>eNpVUUtv1DAQthAVrdpeOSIfOTSLX3mdUFlRitSKgkDiZk2cycbIay-xQ1V-TH8r3na7oidbM99jZj5CXnO2UJWQ6p0xvbkVTKgF4-ULciRYWxU1q_nLh39dSM74ITmN8RdjTLRCiKZ6RQ5lI7lseH1E7r-hg2SDj6Pd0A-YbhE9XTq7hoR0OYJfIQXf02uY1iHRGwerGWkYdgWgY4Y6uAMPT82LYOZIC5pGpOcuzZ5eh9knsD5uidvyV-tXI9jip_2bHbbEhDCfZUPr4YyKPG2R9xIn5GAAF_F09x6THxcfvy8vi6svnz4vz68KI1WVCuClBD7wajBd38phULViZS0Aypa1RnViKFVfGzAddr0RKIzpmBTt0PKm7nt5TN4_6m7mbo29QZ8mcHoz5eWmOx3A6ucdb0e9Cn80Z40UvFRZ4e1OYQq_Z4xJr2006Bx4DHPU2-MrVamWZ-jiEWqmEOOEw96HM_0QrN4Hq3OwmfDm_-n28KcY5T_eBaCH</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2922446491</pqid></control><display><type>article</type><title>Relationship Between Climate Change and Marmot Plague of Marmota himalayana Plague Focus - the Altun Mountains of the Qinghai-Xizang Plateau, China, 2000-2022</title><source>PubMed Central</source><source>PubMed Central Open Access</source><creator>Duan, Qun ; Zheng, Xiaojin ; Gan, Zhiqiang ; Lyu, Dongyue ; Sha, Hanyu ; Lu, Xinmin ; Zhao, Xiaoling ; Bukai, Asaiti ; Duan, Ran ; Qin, Shuai ; Wang, Li ; Xi, Jinxiao ; Wu, Di ; Zhang, Peng ; Tang, Deming ; He, Zhaokai ; Jing, Huaiqi ; Kan, Biao ; Wang, Xin</creator><creatorcontrib>Duan, Qun ; Zheng, Xiaojin ; Gan, Zhiqiang ; Lyu, Dongyue ; Sha, Hanyu ; Lu, Xinmin ; Zhao, Xiaoling ; Bukai, Asaiti ; Duan, Ran ; Qin, Shuai ; Wang, Li ; Xi, Jinxiao ; Wu, Di ; Zhang, Peng ; Tang, Deming ; He, Zhaokai ; Jing, Huaiqi ; Kan, Biao ; Wang, Xin ; Jiuquan Center for Disease Control and Prevention, Jiuquan City, Gansu Province, China ; Gansu Provincial Center for Disease Control and Prevention, Lanzhou City, Gansu Province, China ; National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China ; Akesai Kazak Autonomous County Center for Disease Control and Prevention, Jiuquan City, Gansu Province, China</creatorcontrib><description>Plague is a zoonotic disease that occurs naturally in specific geographic areas. Climate change can influence the populations of the plague host or vector, leading to variations in the occurrence and epidemiology of plague in animals.
In this study, we collected meteorological and plague epidemiological data from the
plague focus in the Altun Mountains of the Qinghai-Xizang Plateau. The data spanned from 2000 to 2022. We describe the climatic factors and plague epidemic conditions and we describe their analysis by Pearson's correlation.
During the period from 2000 to 2022, the isolation rates of
(
) from marmots and fleas were 9.27% (451/4,864) and 7.17% (118/1,646), respectively. Additionally, we observed a positive rate of F1 antibody of 11.25% (443/3,937) in marmots and 18.16% (142/782) in dogs. With regards to climate, there was little variation, and a decreasing trend in blowing-sand days was observed. The temperature in the previous year showed a negative correlation with the
isolation rate in marmots (r=-0.555,
=0.011) and the positive rate of F1 antibody in marmots (r=-0.552,
=0.012) in the current year. The average annual precipitation in the previous two years showed a positive correlation with marmot density (r=0.514,
=0.024), while blowing-sand days showed a negative correlation with marmot density (r=-0.701,
=0.001). Furthermore, the average annual precipitation in the previous three years showed a positive correlation with the isolation rate of
from marmots (r=0.666,
=0.003), and blowing-sand days showed a negative correlation with marmot density (r=-0.597,
=0.009).
The findings of this study indicate that there is a hysteresis effect of climate change on the prevalence of plague. Therefore, monitoring climate conditions can offer significant insights for implementing timely preventive and control measures to combat plague epidemics.</description><identifier>ISSN: 2097-3101</identifier><identifier>EISSN: 2096-7071</identifier><identifier>DOI: 10.46234/ccdcw2024.015</identifier><identifier>PMID: 38313817</identifier><language>eng</language><publisher>China: Editorial Office of CCDCW, Chinese Center for Disease Control and Prevention</publisher><subject>Vital Surveillances</subject><ispartof>China CDC Weekly, 2024-01, Vol.6 (4), p.69-74</ispartof><rights>Copyright and License information: Editorial Office of CCDCW, Chinese Center for Disease Control and Prevention 2024.</rights><rights>Copyright and License information: Editorial Office of CCDCW, Chinese Center for Disease Control and Prevention 2024 2024</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c346t-a153a1f16fcbd93ff4740572aa5909c4b2f54d7cacbebdc2e2ccb0329f9187dd3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10832154/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10832154/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38313817$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Duan, Qun</creatorcontrib><creatorcontrib>Zheng, Xiaojin</creatorcontrib><creatorcontrib>Gan, Zhiqiang</creatorcontrib><creatorcontrib>Lyu, Dongyue</creatorcontrib><creatorcontrib>Sha, Hanyu</creatorcontrib><creatorcontrib>Lu, Xinmin</creatorcontrib><creatorcontrib>Zhao, Xiaoling</creatorcontrib><creatorcontrib>Bukai, Asaiti</creatorcontrib><creatorcontrib>Duan, Ran</creatorcontrib><creatorcontrib>Qin, Shuai</creatorcontrib><creatorcontrib>Wang, Li</creatorcontrib><creatorcontrib>Xi, Jinxiao</creatorcontrib><creatorcontrib>Wu, Di</creatorcontrib><creatorcontrib>Zhang, Peng</creatorcontrib><creatorcontrib>Tang, Deming</creatorcontrib><creatorcontrib>He, Zhaokai</creatorcontrib><creatorcontrib>Jing, Huaiqi</creatorcontrib><creatorcontrib>Kan, Biao</creatorcontrib><creatorcontrib>Wang, Xin</creatorcontrib><creatorcontrib>Jiuquan Center for Disease Control and Prevention, Jiuquan City, Gansu Province, China</creatorcontrib><creatorcontrib>Gansu Provincial Center for Disease Control and Prevention, Lanzhou City, Gansu Province, China</creatorcontrib><creatorcontrib>National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China</creatorcontrib><creatorcontrib>Akesai Kazak Autonomous County Center for Disease Control and Prevention, Jiuquan City, Gansu Province, China</creatorcontrib><title>Relationship Between Climate Change and Marmot Plague of Marmota himalayana Plague Focus - the Altun Mountains of the Qinghai-Xizang Plateau, China, 2000-2022</title><title>China CDC Weekly</title><addtitle>China CDC Wkly</addtitle><description>Plague is a zoonotic disease that occurs naturally in specific geographic areas. Climate change can influence the populations of the plague host or vector, leading to variations in the occurrence and epidemiology of plague in animals.
In this study, we collected meteorological and plague epidemiological data from the
plague focus in the Altun Mountains of the Qinghai-Xizang Plateau. The data spanned from 2000 to 2022. We describe the climatic factors and plague epidemic conditions and we describe their analysis by Pearson's correlation.
During the period from 2000 to 2022, the isolation rates of
(
) from marmots and fleas were 9.27% (451/4,864) and 7.17% (118/1,646), respectively. Additionally, we observed a positive rate of F1 antibody of 11.25% (443/3,937) in marmots and 18.16% (142/782) in dogs. With regards to climate, there was little variation, and a decreasing trend in blowing-sand days was observed. The temperature in the previous year showed a negative correlation with the
isolation rate in marmots (r=-0.555,
=0.011) and the positive rate of F1 antibody in marmots (r=-0.552,
=0.012) in the current year. The average annual precipitation in the previous two years showed a positive correlation with marmot density (r=0.514,
=0.024), while blowing-sand days showed a negative correlation with marmot density (r=-0.701,
=0.001). Furthermore, the average annual precipitation in the previous three years showed a positive correlation with the isolation rate of
from marmots (r=0.666,
=0.003), and blowing-sand days showed a negative correlation with marmot density (r=-0.597,
=0.009).
The findings of this study indicate that there is a hysteresis effect of climate change on the prevalence of plague. Therefore, monitoring climate conditions can offer significant insights for implementing timely preventive and control measures to combat plague epidemics.</description><subject>Vital Surveillances</subject><issn>2097-3101</issn><issn>2096-7071</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNpVUUtv1DAQthAVrdpeOSIfOTSLX3mdUFlRitSKgkDiZk2cycbIay-xQ1V-TH8r3na7oidbM99jZj5CXnO2UJWQ6p0xvbkVTKgF4-ULciRYWxU1q_nLh39dSM74ITmN8RdjTLRCiKZ6RQ5lI7lseH1E7r-hg2SDj6Pd0A-YbhE9XTq7hoR0OYJfIQXf02uY1iHRGwerGWkYdgWgY4Y6uAMPT82LYOZIC5pGpOcuzZ5eh9knsD5uidvyV-tXI9jip_2bHbbEhDCfZUPr4YyKPG2R9xIn5GAAF_F09x6THxcfvy8vi6svnz4vz68KI1WVCuClBD7wajBd38phULViZS0Aypa1RnViKFVfGzAddr0RKIzpmBTt0PKm7nt5TN4_6m7mbo29QZ8mcHoz5eWmOx3A6ucdb0e9Cn80Z40UvFRZ4e1OYQq_Z4xJr2006Bx4DHPU2-MrVamWZ-jiEWqmEOOEw96HM_0QrN4Hq3OwmfDm_-n28KcY5T_eBaCH</recordid><startdate>20240126</startdate><enddate>20240126</enddate><creator>Duan, Qun</creator><creator>Zheng, Xiaojin</creator><creator>Gan, Zhiqiang</creator><creator>Lyu, Dongyue</creator><creator>Sha, Hanyu</creator><creator>Lu, Xinmin</creator><creator>Zhao, Xiaoling</creator><creator>Bukai, Asaiti</creator><creator>Duan, Ran</creator><creator>Qin, Shuai</creator><creator>Wang, Li</creator><creator>Xi, Jinxiao</creator><creator>Wu, Di</creator><creator>Zhang, Peng</creator><creator>Tang, Deming</creator><creator>He, Zhaokai</creator><creator>Jing, Huaiqi</creator><creator>Kan, Biao</creator><creator>Wang, Xin</creator><general>Editorial Office of CCDCW, Chinese Center for Disease Control and Prevention</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20240126</creationdate><title>Relationship Between Climate Change and Marmot Plague of Marmota himalayana Plague Focus - the Altun Mountains of the Qinghai-Xizang Plateau, China, 2000-2022</title><author>Duan, Qun ; Zheng, Xiaojin ; Gan, Zhiqiang ; Lyu, Dongyue ; Sha, Hanyu ; Lu, Xinmin ; Zhao, Xiaoling ; Bukai, Asaiti ; Duan, Ran ; Qin, Shuai ; Wang, Li ; Xi, Jinxiao ; Wu, Di ; Zhang, Peng ; Tang, Deming ; He, Zhaokai ; Jing, Huaiqi ; Kan, Biao ; Wang, Xin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c346t-a153a1f16fcbd93ff4740572aa5909c4b2f54d7cacbebdc2e2ccb0329f9187dd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Vital Surveillances</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Duan, Qun</creatorcontrib><creatorcontrib>Zheng, Xiaojin</creatorcontrib><creatorcontrib>Gan, Zhiqiang</creatorcontrib><creatorcontrib>Lyu, Dongyue</creatorcontrib><creatorcontrib>Sha, Hanyu</creatorcontrib><creatorcontrib>Lu, Xinmin</creatorcontrib><creatorcontrib>Zhao, Xiaoling</creatorcontrib><creatorcontrib>Bukai, Asaiti</creatorcontrib><creatorcontrib>Duan, Ran</creatorcontrib><creatorcontrib>Qin, Shuai</creatorcontrib><creatorcontrib>Wang, Li</creatorcontrib><creatorcontrib>Xi, Jinxiao</creatorcontrib><creatorcontrib>Wu, Di</creatorcontrib><creatorcontrib>Zhang, Peng</creatorcontrib><creatorcontrib>Tang, Deming</creatorcontrib><creatorcontrib>He, Zhaokai</creatorcontrib><creatorcontrib>Jing, Huaiqi</creatorcontrib><creatorcontrib>Kan, Biao</creatorcontrib><creatorcontrib>Wang, Xin</creatorcontrib><creatorcontrib>Jiuquan Center for Disease Control and Prevention, Jiuquan City, Gansu Province, China</creatorcontrib><creatorcontrib>Gansu Provincial Center for Disease Control and Prevention, Lanzhou City, Gansu Province, China</creatorcontrib><creatorcontrib>National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China</creatorcontrib><creatorcontrib>Akesai Kazak Autonomous County Center for Disease Control and Prevention, Jiuquan City, Gansu Province, China</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>China CDC Weekly</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Duan, Qun</au><au>Zheng, Xiaojin</au><au>Gan, Zhiqiang</au><au>Lyu, Dongyue</au><au>Sha, Hanyu</au><au>Lu, Xinmin</au><au>Zhao, Xiaoling</au><au>Bukai, Asaiti</au><au>Duan, Ran</au><au>Qin, Shuai</au><au>Wang, Li</au><au>Xi, Jinxiao</au><au>Wu, Di</au><au>Zhang, Peng</au><au>Tang, Deming</au><au>He, Zhaokai</au><au>Jing, Huaiqi</au><au>Kan, Biao</au><au>Wang, Xin</au><aucorp>Jiuquan Center for Disease Control and Prevention, Jiuquan City, Gansu Province, China</aucorp><aucorp>Gansu Provincial Center for Disease Control and Prevention, Lanzhou City, Gansu Province, China</aucorp><aucorp>National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China</aucorp><aucorp>Akesai Kazak Autonomous County Center for Disease Control and Prevention, Jiuquan City, Gansu Province, China</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Relationship Between Climate Change and Marmot Plague of Marmota himalayana Plague Focus - the Altun Mountains of the Qinghai-Xizang Plateau, China, 2000-2022</atitle><jtitle>China CDC Weekly</jtitle><addtitle>China CDC Wkly</addtitle><date>2024-01-26</date><risdate>2024</risdate><volume>6</volume><issue>4</issue><spage>69</spage><epage>74</epage><pages>69-74</pages><issn>2097-3101</issn><eissn>2096-7071</eissn><abstract>Plague is a zoonotic disease that occurs naturally in specific geographic areas. Climate change can influence the populations of the plague host or vector, leading to variations in the occurrence and epidemiology of plague in animals.
In this study, we collected meteorological and plague epidemiological data from the
plague focus in the Altun Mountains of the Qinghai-Xizang Plateau. The data spanned from 2000 to 2022. We describe the climatic factors and plague epidemic conditions and we describe their analysis by Pearson's correlation.
During the period from 2000 to 2022, the isolation rates of
(
) from marmots and fleas were 9.27% (451/4,864) and 7.17% (118/1,646), respectively. Additionally, we observed a positive rate of F1 antibody of 11.25% (443/3,937) in marmots and 18.16% (142/782) in dogs. With regards to climate, there was little variation, and a decreasing trend in blowing-sand days was observed. The temperature in the previous year showed a negative correlation with the
isolation rate in marmots (r=-0.555,
=0.011) and the positive rate of F1 antibody in marmots (r=-0.552,
=0.012) in the current year. The average annual precipitation in the previous two years showed a positive correlation with marmot density (r=0.514,
=0.024), while blowing-sand days showed a negative correlation with marmot density (r=-0.701,
=0.001). Furthermore, the average annual precipitation in the previous three years showed a positive correlation with the isolation rate of
from marmots (r=0.666,
=0.003), and blowing-sand days showed a negative correlation with marmot density (r=-0.597,
=0.009).
The findings of this study indicate that there is a hysteresis effect of climate change on the prevalence of plague. Therefore, monitoring climate conditions can offer significant insights for implementing timely preventive and control measures to combat plague epidemics.</abstract><cop>China</cop><pub>Editorial Office of CCDCW, Chinese Center for Disease Control and Prevention</pub><pmid>38313817</pmid><doi>10.46234/ccdcw2024.015</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record> |
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title | Relationship Between Climate Change and Marmot Plague of Marmota himalayana Plague Focus - the Altun Mountains of the Qinghai-Xizang Plateau, China, 2000-2022 |
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