COVID-19 is accelerating industrial information integration (III) for sustainable epidemic prevention and innovation design. It is important to emphasize that this interaction makes it reciprocal. To prevent COVID-19, the III of industrial sectors should be strengthened to encourage innovation for sustainable epidemic prevention. Accordingly, we studied the overall dynamic change trend of industrial sectors’ information integration networks (IIN), the characteristics of individual IIN, and their influence on IIN performance. In the study, the gravity model and social network analysis were used to determine the variables of industrial sectors’ information distance and quality, and to construct the IIN of industrial sectors. The results show that the overall relevance of the IIN of industrial sectors is low, and the network density fluctuates, with high network efficiency and poor stability. Two-way, strong correlation between industrial sectors is relatively low. The spillover effect of industrial sectors in the upstream of the industrial chain is poor, and it is difficult to have a strong information integration driving effect on the downstream industrial sectors. The interplate linkage of the IIN of industrial sectors is insufficient. Compared with point centrality and closeness, improvement of the betweenness centrality of industrial sectors can significantly improve IIN performance.

COVID-19正在加速工业信息集成（III），以进行可持续的防疫和创新设计。重要的是要强调，这种相互作用使它是相互的。为了预防COVID-19，应加强工业部门的III，以鼓励创新以进行可持续的流行病预防。因此，我们研究了工业部门信息集成网络（IIN）的总体动态变化趋势，单个IIN的特征及其对IIN性能的影响。在研究中，利用引力模型和社会网络分析法确定了工业部门信息距离和质量的变量，并构建了工业部门的IIN。结果表明，工业部门IIN的整体相关性较低，并且网络密度波动，网络效率高，稳定性差。工业部门之间的双向强相关性相对较低。产业链上游产业部门的溢出效应不佳，很难对下游产业链产生强大的信息整合驱动作用。工业部门IIN的板间链接不足。与点中心性和接近性相比，工业部门之间中心性的提高可以显着提高IIN的性能。并且很难对下游工业部门产生强大的信息集成驱动力。工业部门IIN的板间链接不足。与点中心性和接近性相比，工业部门之间中心性的提高可以显着提高IIN的性能。并且很难对下游工业部门产生强大的信息集成驱动力。工业部门IIN的板间链接不足。与点中心性和接近性相比，工业部门之间中心性的提高可以显着提高IIN的性能。