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Observed versus estimated actual trend of COVID-19 case numbers in Cameroon: A data-driven modelling
Controlling the COVID-19 outbreak remains a challenge for Cameroon, as it is for many other countries worldwide. The number of confirmed cases reported by health authorities in Cameroon is based on observational data, which is not nationally representative. The actual extent of the outbreak from the...
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Published in: | Infectious disease modelling 2023-03, Vol.8 (1), p.228-239 |
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creator | Sandie, Arsène Brunelle Tejiokem, Mathurin Cyrille Faye, Cheikh Mbacké Hamadou, Achta Abah, Aristide Abah Mbah, Serge Sadeuh Tagnouokam-Ngoupo, Paul Alain Njouom, Richard Eyangoh, Sara Abanda, Ngu Karl Diarra, Maryam Ben Miled, Slimane Tchuente, Maurice Tchatchueng-Mbougua, Jules Brice |
description | Controlling the COVID-19 outbreak remains a challenge for Cameroon, as it is for many other countries worldwide. The number of confirmed cases reported by health authorities in Cameroon is based on observational data, which is not nationally representative. The actual extent of the outbreak from the time when the first case was reported in the country to now remains unclear. This study aimed to estimate and model the actual trend in the number of COVID -19 new infections in Cameroon from March 05, 2020 to May 31, 2021 based on an observed disaggregated dataset. We used a large disaggregated dataset, and multilevel regression and poststratification model was applied prospectively for COVID-19 cases trend estimation in Cameroon from March 05, 2020 to May 31, 2021. Subsequently, seasonal autoregressive integrated moving average (SARIMA) modeling was used for forecasting purposes. Based on the prospective MRP modeling findings, a total of about 7450935 (30%) of COVID-19 cases was estimated from March 05, 2020 to May 31, 2021 in Cameroon. Generally, the reported number of COVID-19 infection cases in Cameroon during this period underestimated the estimated actual number by about 94 times. The forecasting indicated a succession of two waves of the outbreak in the next two years following May 31, 2021. If no action is taken, there could be many waves of the outbreak in the future. To avoid such situations which could be a threat to global health, public health authorities should effectively monitor compliance with preventive measures in the population and implement strategies to increase vaccination coverage in the population. |
doi_str_mv | 10.1016/j.idm.2023.02.001 |
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The number of confirmed cases reported by health authorities in Cameroon is based on observational data, which is not nationally representative. The actual extent of the outbreak from the time when the first case was reported in the country to now remains unclear. This study aimed to estimate and model the actual trend in the number of COVID -19 new infections in Cameroon from March 05, 2020 to May 31, 2021 based on an observed disaggregated dataset. We used a large disaggregated dataset, and multilevel regression and poststratification model was applied prospectively for COVID-19 cases trend estimation in Cameroon from March 05, 2020 to May 31, 2021. Subsequently, seasonal autoregressive integrated moving average (SARIMA) modeling was used for forecasting purposes. Based on the prospective MRP modeling findings, a total of about 7450935 (30%) of COVID-19 cases was estimated from March 05, 2020 to May 31, 2021 in Cameroon. Generally, the reported number of COVID-19 infection cases in Cameroon during this period underestimated the estimated actual number by about 94 times. The forecasting indicated a succession of two waves of the outbreak in the next two years following May 31, 2021. If no action is taken, there could be many waves of the outbreak in the future. 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Generally, the reported number of COVID-19 infection cases in Cameroon during this period underestimated the estimated actual number by about 94 times. The forecasting indicated a succession of two waves of the outbreak in the next two years following May 31, 2021. If no action is taken, there could be many waves of the outbreak in the future. To avoid such situations which could be a threat to global health, public health authorities should effectively monitor compliance with preventive measures in the population and implement strategies to increase vaccination coverage in the population.</description><subject>Cameroon</subject><subject>COVID-19</subject><subject>Forecasting</subject><subject>Observed</subject><subject>Post-stratification</subject><subject>Underestimated</subject><issn>2468-0427</issn><issn>2468-2152</issn><issn>2468-0427</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNp9kUtr3DAUhU1pSUKSH5BN0bIbu3rLbqEQpq-BwGxCt0KWrqcabCmVbEP-fZVMGpJNVxJX535X95yquiK4IZjIj4fGu6mhmLIG0wZj8qY6o1y2NeZUvX1xP60ucz7gomipwoyfVKdMKiUV42eV2_UZ0goOrZDykhHk2U9mLgVj58WMaE4QHIoD2ux-bb_WpEPWZEBhmfrSgXxAGzNBijF8QtfImdnULvkVApqig3H0YX9RvRvMmOHy6Tyvbr9_u938rG92P7ab65vaCqLmmhNlqAPipIO-7YB0duiExGAc7R2RYuBtRwSVjEpuGRuw6LkgjghHDGvZebU9Yl00B32Xyh7pXkfj9WMhpr02afZ2BD1YU_YfrBVW8FbaFgRI2neDwEIoYIX15ci6W_oJnIUwJzO-gr5-Cf633sdVdx0WxfUC-PAESPHPUlzVk8-2-GECxCVrqpToBCEcFyk5Sm2KOScYnscQrB-y1gddstYPWWtMdUmy9Lx_-b_njn_JFsHnowCK4auHpLP1ECw4n8DOxRL_H_xfgfG5nw</recordid><startdate>20230301</startdate><enddate>20230301</enddate><creator>Sandie, Arsène Brunelle</creator><creator>Tejiokem, Mathurin Cyrille</creator><creator>Faye, Cheikh Mbacké</creator><creator>Hamadou, Achta</creator><creator>Abah, Aristide Abah</creator><creator>Mbah, Serge Sadeuh</creator><creator>Tagnouokam-Ngoupo, Paul Alain</creator><creator>Njouom, Richard</creator><creator>Eyangoh, Sara</creator><creator>Abanda, Ngu Karl</creator><creator>Diarra, Maryam</creator><creator>Ben Miled, Slimane</creator><creator>Tchuente, Maurice</creator><creator>Tchatchueng-Mbougua, Jules Brice</creator><general>Elsevier B.V</general><general>The Authors. 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Generally, the reported number of COVID-19 infection cases in Cameroon during this period underestimated the estimated actual number by about 94 times. The forecasting indicated a succession of two waves of the outbreak in the next two years following May 31, 2021. If no action is taken, there could be many waves of the outbreak in the future. To avoid such situations which could be a threat to global health, public health authorities should effectively monitor compliance with preventive measures in the population and implement strategies to increase vaccination coverage in the population.</abstract><cop>China</cop><pub>Elsevier B.V</pub><pmid>36776734</pmid><doi>10.1016/j.idm.2023.02.001</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0001-5615-3127</orcidid><orcidid>https://orcid.org/0000-0002-7449-5128</orcidid><orcidid>https://orcid.org/0000-0001-9110-4435</orcidid><orcidid>https://orcid.org/0000-0002-0480-1505</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Cameroon COVID-19 Forecasting Observed Post-stratification Underestimated |
title | Observed versus estimated actual trend of COVID-19 case numbers in Cameroon: A data-driven modelling |
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