Bioterrorism, an Emerging Threat

Naeem, Zainab; Sohail, Nageen; Iftikhar, Shazia

doi:10.1016/b978-0-12-819436-2.00007-8

Cited by 3 publications

(2 citation statements)

References 14 publications

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“…Pakistan, a developing country in South Asia, has faced a rising trend of dengue prevalence since 1994 [20][21][22]. In 2019, 52,485 DF-positive cases and 91 deaths were reported nation-wide.…”

Section: Introductionmentioning

confidence: 99%

Integrating Spatial Modelling and Space–Time Pattern Mining Analytics for Vector Disease-Related Health Perspectives: A Case of Dengue Fever in Pakistan

Naqvi

Sajjad

Waseem

et al. 2021

IJERPH

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The spatial–temporal assessment of vector diseases is imperative to design effective action plans and establish preventive strategies. Therefore, such assessments have potential public health planning-related implications. In this context, we here propose an integrated spatial disease evaluation (I-SpaDE) framework. The I-SpaDE integrates various techniques such as the Kernel Density Estimation, the Optimized Hot Spot Analysis, space–time assessment and prediction, and the Geographically Weighted Regression (GWR). It makes it possible to systematically assess the disease concentrations, patterns/trends, clustering, prediction dynamics, and spatially varying relationships between disease and different associated factors. To demonstrate the applicability and effectiveness of the I-SpaDE, we apply it in the second largest city of Pakistan, namely Lahore, using Dengue Fever (DF) during 2007–2016 as an example vector disease. The most significant clustering is evident during the years 2007–2008, 2010–2011, 2013, and 2016. Mostly, the clusters are found within the city’s central functional area. The prediction analysis shows an inclination of DF distribution from less to more urbanized areas. The results from the GWR show that among various socio-ecological factors, the temperature is the most significantly associated with the DF followed by vegetation and built-up area. While the results are important to understand the DF situation in the study area and have useful implications for public health planning, the proposed framework is flexible, replicable, and robust to be utilized in other similar regions, particularly in developing countries in the tropics and sub-tropics.

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Section: Introductionmentioning

confidence: 99%

Integrating Spatial Modelling and Space–Time Pattern Mining Analytics for Vector Disease-Related Health Perspectives: A Case of Dengue Fever in Pakistan

Naqvi

Sajjad

Waseem

et al. 2021

IJERPH

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“…Further, activists contend that GMOs can lead to contamination of other gardens, since, in the case of Uganda, in densely populated areas, the gardens are so congested that it is hard to tell whether the gardens belong to an individual or several individuals due to the prevalence of subsistence farming. Other arguments border on bioterrorism as a consequence of unscrupulous scientists using genes to harm others and GMOs increasing allergies [Ahteensuu, 2017;Mueller, 2019;Naeem, Sohail and Iftikhar, 2019]. No studies have been carried out in Uganda to ascertain these claims, but the arguments are based on ideas diffusing from the West and Asia.…”

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confidence: 99%

Activists as strategic science communicators on the adoption of GMOs in Uganda

Lukanda¹

2020

JCOM

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This commentary uses a case study of Uganda and the country's attempts to adopt genetically modified organisms (GMOs) to demonstrate how activists have become communicators of scientific knowledge in the digital age. The digital age allows activists to share their information and collaborate with those who can push their agenda. I argue that anti-GMO activists have positioned themselves as influencers in a debate where weight-of-scientific evidence seems to have been overshadowed by perceptions, largely driven by socio-democratic considerations that require participation in technological uptake.

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СOVID-19 pandemic in the context of the health and the life operational protection

Rumyantseva

2021

Zdravoohran. Ross. Fed.

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Introduction. So far, there is no reliable scientific basis for forecasting and preventing pandemics. Around the world, there is public dissatisfaction with the authorities’ insufficiently prompt and effective actions to prevent the spread of Covid-19. The purpose of the study is the formulation a significant problem of the complexity and effectiveness of the operational protective measures for the health and life of the population from COVID-19 in other epidemics and pandemics. Material and methods. Based on the application of a systematic approach and the international methodology for the policy analysis, the author proposes the structuring of the emergency measures and the subjects of the socio-psychological factors analysis of the epidemics and the pandemics to determine a system of the quantitative indicators and the monitoring of the situation. Results. During the epidemics and the pandemics, it is necessary to take emergency measures and also to strive to prevent them based on an in-depth study of the causal relationships, in particular, the risks of the recurrence as a result of the increased traffic flows, urbanization, agricultural intensification, environmental degradation and the continued development of new species biological weapons. Discussion. Among the topical areas, it should be attributed the application of the restrictive measures both on the international and domestic air travel; the limiting the increase in population density in large cities with a focus on the standards of «social isolation»; more the adequate environmental protection, the reducing the risk of the infection transmission from the animals to the humans; the reduction of people infections with nosocomial infections. Conclusion. The author proposes to significantly restructure the analytical and other functions of the operational protection of the population health and life during epidemics and pandemics.

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Bioterrorism, an Emerging Threat

Cited by 3 publications

References 14 publications

Integrating Spatial Modelling and Space–Time Pattern Mining Analytics for Vector Disease-Related Health Perspectives: A Case of Dengue Fever in Pakistan

Integrating Spatial Modelling and Space–Time Pattern Mining Analytics for Vector Disease-Related Health Perspectives: A Case of Dengue Fever in Pakistan

Activists as strategic science communicators on the adoption of GMOs in Uganda

СOVID-19 pandemic in the context of the health and the life operational protection

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