An Estimation of Five-decade Long Monkeypox Case Fatality Rate: Systematic Review and Meta-analysis

Islam, Md. Aminul; Ahammed, Tanvir; Noor, Syed Toukir Ahmed; Hasan, Mohammad Nayeem; Hoque, M. Nazmul; Tiwari, Anjana; Harapan, Harapan; Dhama, Kuldeep; Islam, Tofazzal; Bhattacharya, Prosun

doi:10.22207/jpam.16.spl1.16

Cited by 11 publications

(7 citation statements)

References 53 publications

(47 reference statements)

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“…The SES model is utilized as a baseline to assess the prediction accuracy of other models in this investigation. All models were used to forecast new DENV cases for 30 days [ 10 , 11 , 12 ].…”

Section: Methodsmentioning

confidence: 99%

Correlation of Dengue and Meteorological Factors in Bangladesh: A Public Health Concern

Islam

Hasan

Tiwari

et al. 2023

IJERPH

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Dengue virus (DENV) is an enveloped, single-stranded RNA virus, a member of the Flaviviridae family (which causes Dengue fever), and an arthropod-transmitted human viral infection. Bangladesh is well known for having some of Asia’s most vulnerable Dengue outbreaks, with climate change, its location, and it’s dense population serving as the main contributors. For speculation about DENV outbreak characteristics, it is crucial to determine how meteorological factors correlate with the number of cases. This study used five time series models to observe the trend and forecast Dengue cases. Current data-based research has also applied four statistical models to test the relationship between Dengue-positive cases and meteorological parameters. Datasets were used from NASA for meteorological parameters, and daily DENV cases were obtained from the Directorate General of Health Service (DGHS) open-access websites. During the study period, the mean of DENV cases was 882.26 ± 3993.18, ranging between a minimum of 0 to a maximum of 52,636 daily confirmed cases. The Spearman’s rank correlation coefficient between climatic variables and Dengue incidence indicated that no substantial relationship exists between daily Dengue cases and wind speed, temperature, and surface pressure (Spearman’s rho; r = −0.007, p > 0.05; r = 0.085, p > 0.05; and r = −0.086, p > 0.05, respectively). Still, a significant relationship exists between daily Dengue cases and dew point, relative humidity, and rainfall (r = 0.158, p < 0.05; r = 0.175, p < 0.05; and r = 0.138, p < 0.05, respectively). Using the ARIMAX and GA models, the relationship for Dengue cases with wind speed is −666.50 [95% CI: −1711.86 to 378.86] and −953.05 [−2403.46 to 497.36], respectively. A similar negative relation between Dengue cases and wind speed was also determined in the GLM model (IRR = 0.98). Dew point and surface pressure also represented a negative correlation in both ARIMAX and GA models, respectively, but the GLM model showed a positive association. Additionally, temperature and relative humidity showed a positive correlation with Dengue cases (105.71 and 57.39, respectively, in the ARIMAX, 633.86, and 200.03 in the GA model). In contrast, both temperature and relative humidity showed negative relation with Dengue cases in the GLM model. In the Poisson regression model, windspeed has a substantial significant negative connection with Dengue cases in all seasons. Temperature and rainfall are significantly and positively associated with Dengue cases in all seasons. The association between meteorological factors and recent outbreak data is the first study where we are aware of the use of maximum time series models in Bangladesh. Taking comprehensive measures against DENV outbreaks in the future can be possible through these findings, which can help fellow researchers and policymakers.

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Section: Methodsmentioning

confidence: 99%

Correlation of Dengue and Meteorological Factors in Bangladesh: A Public Health Concern

Islam

Hasan

Tiwari

et al. 2023

IJERPH

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“…The data obtained from the meta-analyses included a range of important components, including the first author, primary studies, confidence intervals, relative risk (RR) or odds ratio (OR), study years, sample size for both treatment and control groups, language, database searches, publication dates, journals, protocols, models, and software 15 , 16 . To evaluate the validity and robustness of the included meta-analyses, two well-established techniques were employed: the Quality of Reporting of Meta-analyses (QUOROM) checklist and the Assessment of Multiple Systematic Reviews (AMSTAR) 17 (Supplemental Digital Content 3, http://links.lww.com/JS9/B194 ).…”

Section: Methodsmentioning

confidence: 99%

Impact of antibiotic-coated sutures on surgical site infections: a second-order meta-analysis

Suleiman,

Abbass,

Hossain

et al. 2023

International Journal of Surgery

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Background: Surgical site infections (SSIs) pose a global challenge, impacting patients and healthcare expenditures. This second-order meta-analysis endeavors to assess the efficacy of antibiotic sutures in averting SSIs by amalgamating data from various meta-studies. Materials and Methods This research adhered to the PRISMA 2020 guidelines. The quality and comprehensiveness of the encompassed meta-analyses were assessed through the QUOROM checklist and AMSTAR techniques. The primary study overlap was evaluated via measures such as pairwise intersection heat maps, Corrected Covered Area (CCA), and the citation matrix of evidence. The statistical power at the study level was determined utilizing the meta-meta package. Data synthesis employed random and fixed effects models at a 95% confidence interval. A meta-regression analysis was conducted to explore potential correlations between the CDC classification of surgical site infections, trial types, and the observed effect sizes in the studies. Results This investigation revealed a significant reduction in SSI rates due to antimicrobial-coated sutures, evidenced by a relative risk (RR) of 0.68 (95% CI: 0.59 to 0.76), with a prediction interval of 0.38 to 1.19. The analysis encompassed 18 studies with 22 meta-analyses, demonstrating a median QUOROM score of 13.6 out of 18 and an AMSTAR score of 9.1 out of 11. The presence of moderate heterogeneity was noted (Q=106.611, I square=54.038%), with non-randomized controlled trials (RCTs) exhibiting an RR of 0.56 (95% CI: 0.39 to 0.80), and RCTs displaying an RR of 0.71 (95% CI: 0.63 to 0.81). Subgroup analysis unveiled variable RR reductions for specific surgical procedures. Conclusion Antimicrobial-coated sutures offer a promising approach to mitigating surgical site infection risk (SSIs). However, their efficacy is optimally realized when employed in conjunction with other robust practices.

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“…It is a linear doublestranded DNA virus with a brick shape that invades host cells by fusing with them, replicating inside, and releasing infectious forms. It co-opts host cell complexes and processes while influencing gene expression and histone modifications [2,3] . It has been added to the WHO's list of diseases with epidemic or pandemic potential.…”

Section: Introductionmentioning

confidence: 99%

First case of monkeypox in Pakistan: WHO’s response and steps to prevent an outbreak

Rauf,

Aftab,

Hussain

et al. 2023

International Journal of Surgery: Global Health

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An Estimation of Five-decade Long Monkeypox Case Fatality Rate: Systematic Review and Meta-analysis

Cited by 11 publications

References 53 publications

Correlation of Dengue and Meteorological Factors in Bangladesh: A Public Health Concern

Correlation of Dengue and Meteorological Factors in Bangladesh: A Public Health Concern

Impact of antibiotic-coated sutures on surgical site infections: a second-order meta-analysis

First case of monkeypox in Pakistan: WHO’s response and steps to prevent an outbreak

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