Editorial: Exploring the dynamics of emerging and re-emerging diseases: from origins to impact

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of the world, so that effective control and preventive measures including vaccines and therapeutics could be developed. The article presents a holistic description of the transmission pattern and epidemiology of the aetiologic agent as well as updates on the diagnostic techniques and approaches available for the detection of the pathogen. Furthermore, the study also highlights the importance of participatory epidemiology, hygienic measures, comprehensive surveillance systems and collaboration as an effective critical step in controlling anthrax (1). CoV-2 strains in Nanjing, China and undertook a parametric analysis on the transmission dynamics from January 2020 to December 2022. The authors pointed out that transmission in the population was faster and the range of the population was wider compared with the original strain, with a significant reduction in the length of the incubation period. Specifically, their results indicate the gradual shortening of the incubation period from the original strain, the Delta variant, Omicron BA.2, Omicron BA.5.2, and Omicron BF.7 with 6d, 5d, 3d, 3d, and 2d respectively. Similar trend was observed for the serial interval (SI) which were 5.69 d, 4.79 d, 2.7 d, 2.12 d, and 2.43 d, respectively. On the other hand, they were a gradual increasing trend in the reproductive number(R0) of the five strains from 2.39, 3.73, 5.28, 5.54, to 7.39 respectively (4). Jamil et al., conducted a study in Kuwait during the peak of the COVID-19 to monitor the presence of SARS-CoV-2 on environmental surfaces using reverse transcriptase quantitative PCR. The results show the variable presence of SARS-CoV-2 and strongly strongly recommend the addition of surface environmental sampling as a pandemic preparedness strategy everywhere (5).In the study by Khoza et al., they undertook a study on the tick distribution of cattle and associated bacterial pathogens. Consequently, 150 cattle were randomly selected across three sites in two provinces of South Africa. Collected ticks were identified to species level while bacterial community of the bovine blood was subjected to the16S rRNA gene microbiome sequencing using the PacBio sequencing platform. Results shows that eight (8) tick species were identified including Rhipicephalus evertsi evertsi, as the most abundant followed by R. appendiculatus, while R. microplus was the least. Others include R. afranicus, R. decoloratus, R. simus, Hyalomma rufipes and H. truncatum. Exactly 16 phyla and 30 classes of the bacterial microbiome was identified in the bovine blood with Proteobacteria as the most dominant bacterial phyla. The results of this study add to the knowledge of the tick fauna and microbial communities in the three study sites (6).The article by Shi et al. proposed the use of Bayesian inference method by simulating stochastic and non-linear dynamics using state-space modeling to explore the transmission dynamics of emerging infectious diseases. The authors used the COVID-19 outbreak data in three different localities in China to validate the proposed method and confirmed that this method is among the most accurate in estimating the onset time and key epidemiological parameters, and is versatile and efficient, extending its utility beyond COVID-19. The findings obtained are consistent with empirical studies and with literature (7).In the study carried out by Cai et al.,2024, they utilized novel high-resolution population mobility data before and during the COVID-19 pandemic to comprehend how mobility changes during the pandemic and seasonally and how these changes impacts the spread of emerging diseases. By using a stochastic discrete time metapopulation model, they stimulated the hypothetical spread of a directly-transmitted disease obtained from Virginia (August 2019 -March 2023). Their result shows that the urban areas of Virginia were at high risk of disease at the pre-pandemic era. However, rural areas became relatively at high risk during the COVID-19 pandemic dure to heterogeneous nature of community response during the pandemic. Furthermore, counties with large student populations were particularly at risk during the months of September and January when students return back to school (8).In conclusion, the collection has highlighted that with the emergence and re-emergence of infectious diseases, healthcare systems, societies, and economies worldwide will be challenged highlighting the need for a comprehensive understanding of the complex dynamics that underlie disease outbreaks. Also, it has highlighted the importance of surveillance for vectors and vector-borne pathogens so that effective prevention and control measures will be formulated for the control of the disease.

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