Agricultural Science Digest

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Agricultural Science Digest, volume 44 issue 1 (february 2024) : 139-145

Environmental Protection Policy and the Emergence of New Diseases: A Global Empirical Analysis of the Pre- and Post-industrial Era

D. Chen1, M. Ibrahim1,2,*, S.S. Ibrahim3, Y. Yang4, H.A. Danjaji5, T. Muazu6
1Key Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, Ministry of Education, College of Environment, Hohai University, Nanjing 210098, PR China.
2Department of Environmental Management and Toxicology, Federal University Dutse, Dutse 720101, Nigeria.
3Galtima Maikyari College of Health Sciences and Technology Nguru, Nguru 630101, Nigeria.
4International School, Hohai University, Nanjing 210098, PR China.
5Department of Biological Sciences, Yobe State University Damaturu, Damaturu 630101, Nigeria.
6College of Computer and Information, Hohai University, Nanjing 210098, PR China.
Cite article:- Chen D., Ibrahim M., Ibrahim S.S., Yang Y., Danjaji H.A., Muazu T. (2024). Environmental Protection Policy and the Emergence of New Diseases: A Global Empirical Analysis of the Pre- and Post-industrial Era . Agricultural Science Digest. 44(1): 139-145. doi: 10.18805/ag.DF-457.
Background: Proper biodiversity conservation and strategies for sustainability in environmental and public health are essential measures for addressing the problems of water-related and zoonotic-caused pandemics. It is generally assumed that a resurgence in an epidemic disease is directly linked to negligence in environmental protection policies, but there are sparse scientific publications supporting the claim. 

Methods: To address this issue, we collected data on the global pre- and post- industrialization scenarios and subjected it to multivariate analyses to investigate the relationship between the lack of proper environmental protection and the emergence of new diseases. 

Result: Our investigations found a statistically significant association between the loss of wildlife habitat and the emergence of novel diseases. The study also revealed that wildlife-related zoonotic disorders caused more than 220 million deaths amongst global pandemics. More than 30 million deaths were attributed to waterborne diseases due to improper waste management and wastewater treatment. Thus, it is recommended that other environmental parameters (e.g., pollution phase) need to be investigated to fully understand the complex relationship between environmental protection and emergence of new zoonotic diseases.
The environment exerts a significant role in determining human physical, biological, social and mental wellbeing (Abdallah et al., 2017; Davis and Sharp, 2020). Biodiversity conservation is a crucial component of environmental sustainability, which plays a pivotal role in maintaining ecological balance and ensuring healthy as well as functioning ecosystems. However, the emergence of industrialization in the 19th century brought along a myriad of environmental challenges, such as deforestation and deterioration in air and water quality, resulting in an inevitable ecological damage due to forest destruction and consequently a rise in infectious diseases from zoonotic pathogens.
       
In the late 19th and early 20th centuries, governments across the world realized that policy development and promulgation of laws and regulations for protecting wildlife and nature-reserves were necessary. As a result, manifold summits and conferences were held to address the most challenging environmental problems requiring international attention. Davis and Sharp (2020) advocated the “One Health” concept as an inclusive approach to solving continuously complex global health challenges, considering the interconnectedness of human, animal and environmental health. Many invertebrate animals dwelling in our immediate vicinity are of epidemiological importance as they play important roles in transmitting pathogenic diseases to humans (Musoke et al., 2016).
       
About 25% of diseases devastating the world today occur due to prolonged exposure to environmental pollution (Musoke et al., 2016; Davis and Sharp, 2020). Besides, epidemiologists and environmental health scientists endeavored to understand historical trends of diseases and appraise therapeutic and preventive measures to develop appropriate policy and decision-making. However, little attention was given to assessing the relationship between environmental protection policy and the emergence of new diseases. Here, we identified and analyzed the key drivers contributing to the relationship and implored appropriate remedial and preventive actions to be taken.
This study was conducted at the Department of Environmental Science and Engineering, Hohai University, Nanjing, PR. China, from February 2020 to August 2021. The study’s methodology was based on the employment of secondary data sources. Table 1 summarizes the sources of information used in the analyses. In order to obtain reliable data, we introduced two criteria, namely, data verification and data validation. To verify each set of the received data, we arranged the data in a chronological list based on originality date and source conformity. We also separated the qualitative and quantitative data sets; a data cleaning analysis was conducted to remove the irregular and inconsistent data sets. Finally, we compared the two data sets (old and new) for verification.
 

Table 1: The study’s data and sources.


       
For data validation, before analysis, data obtained from various sources were collated, transformed and configured to suit the employed analytical approach (Indika, 2011). In this study, about 89% of the data obtained were valid. Pearson correlation was used to determine the relationship among different variables. The probability level of certainty is accepted at a 95% confidence limit (CL) or α = 0.05. Calculations were performed using a Statistical Package for Social Sciences (SPSS) version 22 (IBM, Armonk, NY) and a Microsoft Excel 2013 program (Microsoft, Redmond, WA).
We analyzed the world’s eight major forest ecosystems with a total landmass of 9,353,946 km2 in the post-industrialization period. The results revealed an estimated 11,537 (0.12%) km2 of wildlife habitat loss, with the highest in South America’s Amazon Forest (84%), followed by the Congo Rainforest in Africa (10%) and the lowest in the Asian Kinabalu National Park and the Daintree Forest of Australia (0.01% each) (Table 2). Loss of wildlife habitat is significantly correlated with an increase in mortalities (r = 0.84; p<0.05) (Fig 1A) as a result of an imbalance in zoonotic pathogen/wild-animal eco-equilibrium, which subsequently led to the emergence of new (virulent) diseases in the human population. However, no associations were observed between time intervals of pandemics and changes in mortalities, as illustrated in Fig 1B.
 

Table 2: Post-industrialization (after 1800 AD), wildlife habitat destruction, period, global pandemics duration and mortalities incurred.


 

Fig 1: Post-industrialization period (after 1800 AD); relationship between (A) wildlife habitat loss and increase in mortality and between (B) pandemic interval and mortality rate - km2: kilometer square.


       
From 430 BC to today, the world has experienced 28 different pandemics caused by 12 different classes of pathogenic bacterial and viral spp (Fig 2). Variola major virus, the cause of smallpox, remained in humans for the most extended period (62% longer of all pandemics duration) while RNA virus 1 was the shortest (0.05%) (Table 3). The highest mortality stems from the bubonic plague (caused by Yersinia pestis), which, although not very highly virulent (42.9%), spread across a vast geographical region. At the same time, the more lethal Ebola virus killed less than 12,000 people due to its limited transmissibility. Notably, no correlations were observed between pathogen persistence and the interval of pandemics (Fig 3A). Yet, there is a weak relationship (r = 0.27) between the duration of pandemics and fatalities (Fig 3B). More so, mortality rates depend on both the virulence of the pathogen and the ease of its transmission, i.e., a pathogen of relatively low virulence but with a rapid means of transmission can cause more mortality compared to a highly lethal pathogen with limited transmission capability. More often, underlying health history and social status exacerbate the situation.
 

Table 3: Duration of the pandemics caused by pathogenic organisms of interest and resulting mortality.


 

Fig 2: Twenty-eight world’s pandemics and their recorded mortality (430 BC - 2021 AD) Source: Horgan (2016); Sowards (2018); WHO (2019); US CDC, (2020); Rosenwald (n.d.).


 

Fig 3: Post-industrialization period (after 1800 AD).


       
The majority of diseases ravaged the globe ranging from the ancient Plague of Athens in 430 BC to the current COVID-19 pandemic, are limited to five continents, namely, Africa, Asia, Australia, Europe and North America, but not South America or Antarctica (Table 4). The highest relative cumulative death toll is in Asia (36.4%), closely followed by Europe (34.9%). Australia has the lowest mortality rate and the shortest duration of a pandemic. It is interesting to note that in the pre-industrialization era, pandemics were attributed to infections from three types of pathogens, namely, Salmonella typhi, Variola major virus and Yersinia pestis. The latter accounted for 68.4% of all deaths during this period (Table 5), with only smallpox (caused by Variola major virus) considered to have been completely eradicated (Kumar, 2016; US CDC, 2020).
 

Table 4: Pandemic duration and percent mortality in five continents during the post-industrial period.


 

Table 5: Global pandemics during the pre-industrial period (before 1800 AD).


       
While the Sustainable Development Goals (SDGs) No. 6 of the United Nations emphasized that industrial technologies, recent wave of economic globalization and infrastructural development have led to a growing health concern (Spier, 2011; Ibrahim et al., 2021). The findings in this study also showcased the need for global natural habitat conservation as the complexity in the nexus between wildlife habitat loss and pathogen spreads was majorly identified by the rise of industrialization in the late eighteenth and early nineteenth centuries (Spier, 2011). In those days, high morbidity and mortality were mostly due to poor sanitation, unsafe water supply and lack of understanding of the causes of infectious diseases.
       
Post-industrialization anthropogenic activities resulted in natural habitat encroachment, are negatively impacting the pre-existing natural ecological systems and compelling closer contact of wild animals with the intruding human population. For instance, in the 1950s, the natural forest coverage in Xishuangbanna, PR China, was >50% of the total area; however, by 1978, the coverage decreased to 34% and the natural forests have continuously been destroyed to make way for shifting cultivation and rubber tree plantation (Zhu, 1992). Consequently, the interaction between humans and wild animals in the forests increases, paving a way for the possible emergence of new diseases. When the effects of industrialization and urbanization on forests and human health were realized, various governments developed regulations for wildlife protection, urban hygiene, sanitation and appropriate housing facilities. For instance, in the USA, the Endangered Species Act (ESA) was passed by Congress in 1973 as a policy to conserve forests and wildlife (Ballotpedia, n.d.).
       
Notably, among the 324 ×106 mortalities caused by global pandemics, 68% are due to wildlife-related zoonotic diseases. Our study reveals that, in South America’s Amazon Forest alone, 9,762 km2 of forest are lost every year and this has been linked to the deaths of millions of people, mainly caused by zoonotic diseases. In Africa Congo Rainforest, more than 30% of deaths from zoonotic diseases are linked to the loss of 12,000 km2 of wild animals’ habitats.
 
Our survey reveals that >10% of the total deaths caused by global pandemics from 430 BC to 2021 were from water-related diseases, accounting for
>33×106 deaths. However, another critical source of epidemics is vector-borne pathogens. In Africa during 2013-Yellow-fever, an acute viral hemorrhagic disease transmitted by infected mosquitoes was responsible for 84,000-170,000 severe cases and 29,000 - 60,000 deaths (WHO, 2019). In particular, Aedes aegypti is a vector for not only the yellow fever virus but also that of dengue fever, chikungunya, Zika fever and Mayaro viruses.
              
Furthermore, water stress exists whenever annual water supply of a given region decreases to <170,000,0000 cm3/person, approximately between eight and nine glasses of water per day (Acciona, n.d.). The UN reported that one in six persons on this planet experiences this situation, which is a global situation that is becoming increasingly acute (Acciona, n.d.). The problem of water stress is especially evident in sub-Saharan African countries (Kyne, 2015; Wikipedia, 2020b). Many communities still rely on rainwater due to the inaccessibility of potable water (Abebe, 2020; Angela et al., 2019). Water shortages facilitate the proliferation of re-emerging diseases, such as Lassa fever in some parts of Africa, stemming from stored water contaminated with urine/feces of infected Mastomys rodents (WHO, 2018; Joshi, n.d.). Therefore, the positive impacts of environmental protection policies would never be overemphasized, as the rapid expansion of human activities in agriculture and industry led to the development and implementation of the policies by both government and private sectors. These policies are vital in thwarting threats of anthropogenic activities on ecosystems and, more importantly, ameliorating existing damages and preventing further abuse of the planet’s fragile ecosystems (Bhaurah, 2020).
This study demonstrated a strong connection between negligence in environmental protection policies and the emergence of new diseases globally. Among the causative pathogens, Yersinia pestis (cause of bubonic plague) was the most fatal pathogenic agent accounting for 40% of deaths from all the pandemics that scourged the world from 430 BC to the present day. The persistence of a pathogenic agent had a significant impact on mortalities. Although waterborne pathogens constitute a major cause of diseases, yet, water stress on the other hand could be a giant contributing factor. Therefore, it is imperative that “all hands should be on deck” to maintain a sustainable utilization of the existing natural resources and biodiversity conservation, bearing in mind that future generations may not share this mindset. Although our study focused on forest habitats, future studies should examine other portions of the ecosystem, such as the ocean, desert and mountains, so that a holistic picture of the relationships among all other components of an ecosystem and human health will be of paramount concerned.
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this article.

  1. Abdallah, M.S, Ibrahim, M., Warodi, F.A. (2017). Review on some plants as bio-pesticides. International Journal of Contemporary Research and Review. 8: 20186-91. 

  2. Acciona, (n.d). Ranking of countries with the highest water stress, [cited 2020 Jul 02]. Available from: URL: https://www. active sustainability.com/water/ranking-countries-highest- water-stress/.

  3. Angela, A.D., Jennifer, M., Muhammad, I. (2019). Assessment of the quality of water from rooftops (a case study of “Nkamponasi” in Tarkwa, Ghana). International Journal of Scientific Research and Publication. 9: 348-354. 

  4. Anonymous, (n.d.a). Outbreak: 10 of the worst pandemics in history, [cited 2020 Jun 16]. Available from: URL: https://www.mphonline.org/worst-pandemics-in-history/.

  5. Abebe, B.A. (2020). Natural resources globalization and its effect on the indigenous people, evidence from the theoretical and empirical literature: A review. Agricultural Science Digest. 40(3): 223-225. doi: 10.18805/ag.D-236.

  6. Ballotpedia, (n.d). Environmental policy in the United States, [cited 2020 Jun 18]. Available from: URL: https://ballotpedia.org/ Environmental-policy-in-the-United-States.

  7. Bhaurah, P. (2020). What are environmental protection policies? [cited 2021 Mar 24]. Available from: URL: https://planningtank.com/environment/environmental-protection-policies.

  8. Chandi, R.S. and Gill, B.S. (2019). Efficacy of safer insecticides against aphid on celery. Agricultural Science Digest. 39(1): 70-72. doi: 10.18805/ag.D-4854.

  9. Cohn, S.K. (2003). The black death transformed: Disease and culture in early Renaissance Europe. London: Bloomsbury Academic.

  10. Davis, A. and Sharp, J. (2020). Rethinking one health: Emergent human, animal and environmental assemblages. Soc Sci Med. 258: 113093.

  11. Debnath, S, Biswas, S, Panigrah, A.K. (2018). Present status and diversity of avian fauna in Purbasthali bird sanctuary, West Bengal, India. Agricultural Science Digest. 2(38): 95-102. doi: 10.18805/ag.D-4711.

  12. Finger, S. (2011). Yellow fever, [cited 2020 May 13]. Available from: URL: https://philadelphiaencyclopedia.org/archive/yellow-fever/.

  13. Gupta, M., Dohroo, N.P., Bharat, N. (2015). Outbreak of downy mildew of fenugreek in Solan district of Himachal Pradesh, India. Agricultural Science Digest. 35(3): 244-246. doi: 10.5958/0976-0547.2015.00057.9.

  14. Harper, K. (2017). The Old Age of the World. In: The Fate of Rome: Climate, Disease and the End of an Empire.  [Harper, K., eds]. Princeton, NJ: Princeton University Press. Pp: 119-159.

  15. Horgan, J. (2019). Antonine plague, [cited 2020 May 09]. Available from: URL: https://www.ancient.eu/Antonine-Plague/.

  16. Horgan, J. (2016). Plague of Cyprian, 250-270 CE, [cited 2020 Apr 15]. Available from: URL: https://www.ancient.eu/article/ 992/.

  17. Ibeji, M. (2011). Black death: the disease, [cited 2020 Jun 20]. Available from: URL: https://www.bbc.co.uk/history/ british/middle-ages/blackdisease-01.shtml.

  18. Ibrahim, M., Young, A.C., Chen, D., Mughal, N. (2021). Potential ecological risk, in-situ phytoextraction potential of Lycopersicon esculentum and pollution indices of selected toxic metals in Hausawan - Kaba, Kano State, Nigeria. Environmental Challenges. 4: 100113. https://doi.org/ 10.1016/j.envc.2021.100113.

  19. Indika, (2011). Difference between data validation and data verification. 2011 [cited 2020 Jun 20]. Available from: URL: https:// www.differencebetween.com/difference-between-data-validation-and-vs-data-verification/.

  20. Jarus, O. (n.d). 20 of the worst epidemics and pandemics in history, n.d. [cited 2020 May 29]. Available from: URL:https:// www.livescience.com/worst-epidemics-and-pandemics- in-history.html.

  21. Joshi, S. (n.d). Non-pathogenic microorganisms, [cited 2020 Jun 24]. Available from: URL:https://www. biologydiscussion. com/microorganisms/non-pathogenic-microorganisms/ 31147.

  22. Kumar, S. (2016). Top ten largest forests around the world, 2016 [cited 2020 Jul 04]. Available from: URL: https://www. worldblaze.in/top-ten-largest-forests-around-the-world/.

  23. Kyne, C. (2015). Water scarcity, [cited 2020 May 14]. Available from: URL: https://quizlet.com/113847651/water-scarcity-flash-cards/.

  24. Little, B. (2020). SARS pandemic: How the virus spread around the world in 2003, [cited 2020 May 29]. Available from: URL: https://www.history.com/news/sars-outbreak-china- lessons.

  25. Littman, R.J. (2009). The plague of athens: Epidemiology and paleopathology. Mt Sinai J. Med. 76: 456-67. 

  26. Mark, J.J. (2020). Boccaccio on the Black Death: Text and Commentary. Ancient History Encyclopedia. Retrieved from https:// www.ancient.eu/article/1537/.

  27. Musoke, D., Ndejjo, R., Atusingwize, E., Halage, A.A. (2016). The role of environmental health in one health: A Uganda perspective. One Health. 2016; 2: 157-60. 

  28. Mwenda, M. (2019). The Congo Basin rainforest, the second largest in the world, could disappear by 2100, [cited 2020 Jul 03]. Available from: URL: https://www.lifegate.com/congo- basin-rainforest-logging.

  29. Paul, W.E. (2012). Fundamental immunology. 7th ed. Philadelphia, PA: Lippincott Williams and Wilkins.

  30. Rosenwald, M.S. (n.d). History’s deadliest pandemics, from ancient Rome to modern America, n.d. [cited 2020 May 28]. Available from: URL: https://www.washingtonpost.com/ graphics/2020/local/retropolis/coronavirus-deadliest-pandemics/.

  31. Rosen, W. (2007). Justinian’s flea: Plague, empire and the birth of Europe. New York City: Viking Press.

  32. Sowards, W. (2018). Japan’s history with the smallpox demon, [cited 2020 Jun 19]. Available from: URL: https://www. passpo rthealthusa.com/2018/03/japans-history-with-the-smallpox -demon/.

  33. Spier, F. (2011). Big history and the future of humanity. Toronto, Canada: Wiley-Blackwell. 

  34. Stanbridge, N. (2016). DNA confirms cause of 1665 London’s Great Plague, [cited 2020 Apr 9]. Available from: URL: https:// www.bbc.co.uk/news/science-environment-37287715.

  35. US CDC, (2020). History of smallpox, [cited 2020 Jul 01]. Available from: URL: https://www.cdc.gov/smallpox/history/history.html.

  36. Wikipedia, (2020a). Deforestation of the Amazon rainforest, [cited 2020 Jun 04]. Available from: URL: https://en.wikipedia. org/wiki/Deforestation-of-the-Amazon-rainforest.

  37. Wikipaedia, (2020b). Water scarcity in Africa, [cited 2020 Jul 01]. Available from: URL:https://en.wikipedia.org/wiki/Water- scarcity-in-Africa

  38. WHO, (2008). Foodborne disease outbreaks: guidelines for investigation and control, [cited 2020 Jun 21]. Available from: URL: https://apps.who.int/iris/bitstream/handle/10665/43771/ 9789241547222_eng.pdf?sequence=1andisAllowed=y.

  39. WHO, (2018). Lassa fever, [cited 2020 Jun 20]. Available from: URL: https://www.who.int/health-topics/lassa-fever# tab=tab-1.

  40. WHO, (2019). Yellow fever, [cited 2020 Jun 25]. Available from: URL: https://www.who.int/news-room/fact-sheets/detail/ yellow-fever.

  41. WWF, (n.d). Water scarcity, [cited 2020 Jul 01]. Available from: URL: https://www.worldwildlife.org/threats/water-scarcity.

  42. Zhu, H. (1992). The tropical rainforest vegetation in Xishuangbanna. Chinese Geographical Science. 1992. 2: 64-73. 

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